Publications

Refereed Journal Articles

* denotes highly-qualified personnel

1. Jin*, H.-Y., & Cutumisu, M. (In Press). Cognitive, interpersonal, and intrapersonal deeper learning domains: A systematic review of computational thinking. Education and Information Technologies. Impact Factor: 5.5. Rank: 7% = 19/269.

2. Cutumisu, M., Garn, K., & Spiteri, R. J. (2024). Assessing numerical analysis performance with the Practi mobile app. Education Sciences. Impact Factor: 3.0. Rank: 15% = 114/759.

3. Yousefpoori Naeim*, M., He*, S., Cui, Y., & Cutumisu, M. (In Press). Predicting teacher research reading: A machine learning approach. International Review of Education. Impact Factor: 3.2. Rank: 11% = 87/759.

4. Cutumisu, M., & Schmölzer, G. M. (2024). The effects of a digital game simulator versus a traditional intervention on paramedics’ neonatal resuscitation performance. Children – Pediatric Neonatology. Newborn Resuscitation: Advances in Training and Practice: 2nd Edition. Impact Factor: 2.4. Rank: 45% = 58/130.

5. Pan*, Z., & Cutumisu, M. (2023). Using machine learning to predict UK and Japanese secondary students' life satisfaction in PISA 2018. British Journal of Educational Psychology. https://doi.org/10.1111/bjep.12657. Impact Factor: 3.7. Rank: 20% = 12/60.

6. Chen*, F., Cui, Y., Lutsyk-King, A., Gao*, Y., Liu*, X., Cutumisu, M., & Leighton, J. P. (2023). Validating a novel digital performance-based assessment of data literacy: Psychometric and eye-tracking analyses. Education and Information Technologies. Impact Factor: 5.5. Rank: 3% = 21/742.

7. Tan*, B., Jin*, H.-Y., & Cutumisu, M. (2023). The applications of machine learning in computational thinking assessments: A scoping review. Computer Science Education. DOI: 10.1080/08993408.2023.2245687. Impact Factor: 2.7. Rank: 23% = 172/742.

8. Cui, Y., Chen*, F., Lutsyk*, A., Leighton, J. P., & Cutumisu, M. (2023). Data literacy assessments: A systematic literature review. Assessment in Education: Principles, Policy & Practice. DOI: 10.1080/0969594X.2023.2182737. Impact Factor: 2.52. Rank: 47% = 128/270.

9. Jin*, H.-Y., & Cutumisu, M. (2023). Predicting pre-service teachers' computational thinking skills using machine learning classifiers. Education and Information Technologies. Impact Factor: 3.67. Rank: 23% = 62/270.

10. Pan*, Z., Cui, Y., Leighton, J. P., & Cutumisu, M. (2023). Insights into computational thinking from think-aloud interviews: A systematic review. Applied Cognitive Psychology. Impact Factor: 2.36. Rank: 61.5% = 56/91.

11. Cutumisu, M., Southcott*, J., & Lu*, C. (2022). Discovering clusters of support utilization in the Canadian community health survey - Mental health. International Journal of Mental Health & Addiction. https://doi.org/10.1007/s11469-022-00880-4. Impact Factor: 8.00. Rank: 6% = 15/264.

12. Lu*, C., & Cutumisu, M. (2022). Online engagement and performance on formative assessments mediate the relationship between attendance and course performance. International Journal of Educational Technology in Higher Education. Impact Factor: 4.94. Rank: 7% = 18/265. DOI: 10.1186/s41239-021-00307-5

13. Lu*, C., MacDonald*, R., Odell*, B., Kokhan*, V., Demmans Epp, C., & Cutumisu, M. (2022). Assessing computational thinking in higher education: A scoping review. Journal of Computing in Higher Education, 34. 416–461. Impact Factor: 4.04. Rank: 17% = 45/267. https://doi.org/10.1007/s12528-021-09305-y

14. Cutumisu, M., Adams, C., Glanfield, F., Yuen*, C., & Lu*, C. (2021). Using structural equation modeling to examine the relationship between pre-service teachers’ computational thinking attitudes and skills. IEEE Transactions on Education. 177-183. doi:10.1109/TE.2021.3105938. Impact Factor: 2.74. R: 45% = 20/44.

15. Cutumisu, M., & Schwartz, D. L. (2021). Feedback choices and their relations to learning are age-invariant starting in middle school: A secondary data analysis. Computers & Education, 171(104215), October, 104215. Impact Factor: 11.18. Rank: 0.7% = 2/267. https://doi.org/10.1016/j.compedu.2021.104215

16. Leighton, J. P., Cui, Y., & Cutumisu, M. (2021). Key information processes for thinking critically in data-rich environments. Frontiers in Education, section Educational Psychology, 6(561847). 1-15. https://doi.org/10.3389/feduc.2021.561847

17. Lu*, C., Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2021). Mindset moderates healthcare providers' longitudinal performance in a digital neonatal resuscitation simulator. Frontiers in Pediatrics: Neonatology, 8(594690). 1-10. doi:10.3389/fped.2020.594690. Impact Factor: 3.57. Rank: 29% = 38/130.

18. Odell*, B., Gierl, M., & Cutumisu, M. (2021). Testing measurement invariance of PISA 2015 mathematics, science, and ICT Scales using the alignment method. Studies in Educational Evaluation, 68. 1-9. https://doi.org/10.1016/j.stueduc.2020.100965. Impact Factor: 2.70. Rank: 41% = 109/267.

19. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2021). Digital simulation improves, maintains, and helps transfer healthcare providers’ neonatal resuscitation knowledge. Frontiers in Pediatrics: Neonatology, 8(599638). 1-8. doi:10.3389/fped.2020.599638. Impact Factor: 3.57. Rank: 29% = 38/130. 

20. Cutumisu, M., Ghoman*, S. K., Lu*, C., Patel*, S. D., Garcia-Hidalgo*, C., Fray*, C., Brown, M. R. G., Greiner, R., & Schmölzer, G. M. (2020). Health care providers’ performance, mindset, and attitudes toward a neonatal resuscitation computer-based simulator: Empirical study. Journal of Medical Internet Research (JMIR) Serious Games, 8(4):e21855. PMID: 33346741. https://games.jmir.org/2020/4/e21855. Impact Factor: 3.526. Rank: 26% = 7/27.

21. Harley, J. M., Lou*, N. M., Liu*, Y., Cutumisu, M., Daniels, M., Leighton, J. P., & Nadon*, L. (2020). University students’ negative emotions in a computer-based exam: The roles of trait test-emotion, prior test-taking methods, and gender. Assessment & Evaluation in Higher Education, 46(6). 956-972. https://doi.org/10.1080/02602938.2020.1836123. Impact Factor: 4.98. Rank: 6.44% = 17/264.

22. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Using technology to bridge the gap for remote healthcare education during COVID-19. BMJ Simulation & Technology Enhanced Learning (BMJ STEL), 7(4). 272-273. http://dx.doi.org/10.1136/bmjstel-2020-000733. Rank: 81.33% = 122/150.

23. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Using the RETAIN tabletop simulator as a summative assessment tool for neonatal resuscitation healthcare professionals: A pilot study. Frontiers in Pediatrics: Neonatology, 8:569776. 1-8. doi:10.3389/fped.2020.569776. Impact Factor: 3.42. Rank: 18.6% = 24/129.

24. Bulut, O., Cutumisu, M., Singh*, D., & Aquilina*, A. (2020). Guidelines for generating effective feedback from e-assessments. Hacettepe University Journal of Education, 35 (Special Issue), 60-72.

25. Lu*, C., Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Unsupervised machine learning algorithms examine healthcare providers' perceptions and longitudinal performance in a digital neonatal resuscitation simulator. Frontiers in Pediatrics: Neonatology. doi:10.3389/fped.2020.00544. Impact Factor: 3.42. Rank: 18.6% = 24/129.

26. Odell*, B., Cutumisu, M., & Gierl, M. (2020). A scoping review of the relationship between students’ ICT and performance in mathematics and science in the PISA data. Social Psychology of Education, 23. 1449-1481. doi:10.1007/s11218-020-09591-x. Impact Factor: 2.19. Rank: 61% = 37/61.

27. Cutumisu, M., & Lou*, N. M. (2020). The roles of generic and domain-specific mindsets in learning graphic design principles. Interactive Learning Environments. 1-15. doi:10.1080/10494820.2020.1857787. Impact Factor: 3.93. Rank: 16% = 43/264. 

28. Cutumisu, M., & Lou*, N. M. (2020). The moderating effect of mindset on the relation between university students' critical feedback-seeking and learning. Computers in Human Behavior, 122. https://doi.org/10.1016/j.chb.2020.106445. Impact Factor: 6.83. Rank: 7% = 10/140.

29. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Using the RETAIN neonatal resuscitation game to train and assess health care professionals’ competence in an observational study design. SAGE Research Methods Cases: Medicine and Health. 1 - 15. https://doi.org/10.4135/9781529734461 

30. Odell*, B., Galovan, A., & Cutumisu, M. (2020). The relation between ICT and science in PISA 2015 for Bulgarian and Finnish students. Eurasia Journal of Mathematics, Science and Technology Education, 16(6), Article em1846. 1- 15. https://doi.org/10.29333/ejmste/7805. Impact Factor: 0.90. Rank: 62% = 147/235.

31. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Simulation-based summative assessment of neonatal resuscitation providers using the RETAIN serious board game – A pilot study. Frontiers in Pediatrics: Neonatology, 8(14). 1-7. https://doi.org/10.3389/fped.2020.00014. Impact Factor: 3.42. Rank: 18.6% = 24/129.

32. Cutumisu, M., Schwartz, D. L., & Lou*, N. M. (2020). The relation between academic achievement and the spontaneous use of design-thinking strategies. Computers & Education, 149, Article 103806. https://doi.org/10.1016/j.compedu.2020.103806. Impact Factor: 8.54. Rank: 1.1% = 3/264.

33. Ghoman*, S. K., Patel*, S. D., Cutumisu, M., von Hauff*, P., Jeffery*, T., Brown, M. R. G., & Schmölzer, G. M. (2020). Serious games, a game changer in teaching neonatal resuscitation? A review. Archives of Disease in Childhood - Fetal and Neonatal Edition, 105(1), 98-107. https://doi.org/10.1136/archdischild-2019-317011. Impact factor: 5.75. Rank: 5% = 6/129.

34. Cutumisu, M., Adams, C., & Lu*, C. (2019). A scoping review of empirical research on recent computational thinking assessments. Journal of Science Education and Technology, 28(6), 651-676. https://doi.org/10.1007/s10956-019-09799-3. Impact Factor: 1.64. Rank: 47% = 124/263.

35. Cutumisu, M., Turgeon*, K.-L., Saiyera*, T., Chuong*, S., González Esparza*, L. M., MacDonald*, R., & Kokhan*, V. (2019). Eye tracking the feedback assigned to undergraduate students in a digital assessment game. Frontiers in Psychology - Educational Psychology. Neuroeducation: Translating Lab Insights into Classroom Practice. https://doi.org/10.3389/fpsyg.2019.01931. Impact Factor: 2.07. Rank: 33% = 45/138.

36. Cutumisu, M. (2019). Feedback valence agency moderates the effect of pre-service teachers’ growth mindset on the relation between revising and performance. Frontiers in Psychology - Educational Psychology, 10, Article 1794. https://doi.org/10.3389/fpsyg.2019.01794. Impact Factor: 2.07. Rank: 33% = 45/138.

37. Cutumisu, M., & Guo*, Q. (2019). Using topic modeling to extract pre-service teachers’ understandings of computational thinking from their coding reflections. IEEE Transactions on Education, 62(4), 325-332. https://doi.org/10.1109/TE.2019.2925253. Impact Factor: 1.86. Rank: 36% = 15/41.

38. Bulut, O., Cutumisu, M., Aquilina*, A. M., & Singh*, D. (2019). Effects of digital score reporting and feedback on students’ learning in higher education. Frontiers in Education: Assessment, Testing and Applied Measurement, 4. doi:10.3389/feduc.2019.00065

39. Cutumisu, M., Chin, D. B., & Schwartz, D. L. (2019). A digital game-based assessment of middle-school and college students’ choices to seek critical feedback and to revise. British Journal of Educational Technology, 50(6), 2977-3003. https://doi.org/10.1111/bjet.12796. Impact factor: 2.95. Rank: 12% = 31/263.

40. Cutumisu, M., Vasquez*, C., Uhlich*, M., Beatty*, P., Hamayeli-Mehrabani*, H., Djebah*, R., Murtha, A., Greiner, R., & Lewis, J. (2019). PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks. JCO Clinical Cancer Informatics, 3, 1-12. doi:10.1200/CCI.18.00144

41. Cutumisu, M., Patel*, S., Brown, M. R. G., Fray*, C., von Hauff*, P., Jeffery*, T., & Schmölzer, G. M. (2019). RETAIN: A board game that improves neonatal resuscitation knowledge retention. Frontiers in Pediatrics: Neonatology, 7(13). doi:10.3389/fped.2019.00013. Impact factor: 2.63. Rank: 31% = 38/124.

42. Chin, D. B., Blair, K. P., Wolf, R. C., Conlin, L. D., Cutumisu, M., Pfaffman, J., & Schwartz, D. L. (2019). Educating and measuring choice: A test of the transfer of design thinking in problem solving and learning. Journal of the Learning Sciences, 3(28), 337-380. doi:10.1080/10508406.2019.1570933. Impact factor: 3.59. Rank: 6% = 16/263.

43. Cutumisu, M. (2019, online 2018). The association between critical feedback seeking and performance is moderated by growth mindset in a digital assessment game. Computers in Human Behavior, 93, 267-278. https://doi.org/10.1016/j.chb.2018.12.026. Impact factor: 5.00. Rank: 5% = 4/87.

44. Cutumisu, M. (2018). The informational value of feedback choices for performance and revision in a digital assessment game. Interactive Technology and Smart Education, 15(4), 363-380. https://doi.org/10.1108/ITSE-03-2018-0017. Invited based on the CELDA 2017 Best paper.

45. Cutumisu, M., Brown, M. R. G., Fray*, C., & Schmölzer, G. M. (2018). Growth mindset moderates the effect of the neonatal resuscitation program on performance in a computer-based game training simulation. Frontiers in Pediatrics, Neonatology, 6, 195-205. doi:10.3389/fped.2018.00195. Impact factor: 2.35. Rank: 31% = 38/124.

46. Cutumisu, M., & Schwartz, D. L. (2018, Online first 2017). The impact of critical feedback choice on students' revision, performance, learning, and memory. Computers in Human Behavior, 78, 351-367. doi:10.1016/j.chb.2017.06.029. Impact factor: 4.31, Rank: 4.5% = 4/88. Invited based on CELDA’16 papers.

47. Bulut, O., & Cutumisu, M. (2018). When technology does not add up: ICT use negatively predicts mathematics and science achievement for Finnish and Turkish students in PISA 2012. Journal of Educational Multimedia and Hypermedia, 27(1), 25-42. Waynesville, NC, United States: Association for the Advancement of Computing in Education (AACE).

48. Cutumisu, M., Labonté*, C., Oslie*, V., Gange*, E., Brown, H., & Smith, V. (2017). Teachers’ experience using technology to provide feedback that enhances student persuasive writing skills. LEARNing Landscapes, 11(1), 87-102.

49. Cutumisu, M., & Bulut, O. (2017). Problem-solving attitudes and gender as predictors of academic achievement in mathematics and science for Canadian and Finnish students in the PISA 2012 assessment. Journal of Educational Multimedia and Hypermedia, 26(4), 325-342. Waynesville, NC, United States: Association for the Advancement of Computing in Education (AACE).

50. Cutumisu, M., Blair, K. P., Chin, D. B., & Schwartz, D. L. (2017, Online first 2016). Assessing whether students seek constructive criticism: The design of an automated feedback system for a graphic design task. International Journal of Artificial Intelligence in Education, 27(3), 419-447. doi:10.1007/s40593-016-0137-5, Springer.

51. Cutumisu, M., Blair, K. P., Chin, D. B., & Schwartz, D. L. (2015). Posterlet: A game-based assessment of children’s choices to seek feedback and to revise. Journal of Learning Analytics, 2(1), 49-71. https://doi.org/10.7939/R31R6ND7N. Acceptance rate: 43%.

52. Carbonaro, M., Szafron, D., Cutumisu, M., & Schaeffer, J. (2010). Computer-game construction: A gender-neutral attractor to Computing Science. Computers & Education, 55(3), 1098-1111. Impact factor: 2.62, Rank: 3% = 5/184. https://doi.org/10.1016/j.compedu.2010.05.007

53. Carbonaro, M., Cutumisu, M., Duff, H., Gillis, S., Onuczko, C., Siegel, J., Schaeffer, J., Schumacher, A., Szafron, D., & Waugh, K. (2008). Interactive story authoring: A viable form of creative expression for the classroom. Computers & Education, 51(2), 687-707. https://doi.org/10.1016/j.compedu.2007.07.007. Impact factor: 2.19, Rank: 5% = 6/113.

54. Cutumisu, M., Onuczko, C., McNaughton, M., Roy, T., Schaeffer, J., Schumacher, A., Siegel, J., Szafron, D., Waugh, K., Carbonaro, M., Duff, H., & Gillis, S. (2007). ScriptEase: A generative/adaptive programming paradigm for game scripting. Science of Computer Programming, 67(1), 32-55. https://doi.org/10.1016/j.scico.2007.01.005. Impact factor: 0.83, Rank: 48% = 40/84. 

55. Cutumisu, M., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., Onuczko, C., & Carbonaro, M. (2006). Generating ambient behaviours in computer role-playing games. IEEE Journal of Intelligent Systems, 21(5), Sept/Oct, 19-27 (Invited paper - a preliminary version appeared as LNAI 3814, Springer-Verlag, INTETAIN ’05 Conference, 2005, 34-43). doi:10.1109/MIS.2006.92. Impact factor: 1.44, Rank: 30% = 28/93. 

56. Szafron, D., Carbonaro, M., Cutumisu, M., Gillis, S., McNaughton, M., Onuczko, C., Roy, T., & Schaeffer, J. (2005). Writing interactive stories in the classroom. Interactive Multimedia Electronic Journal of Computer-Enhanced Learning (IMEJ), 7(1), 1-13. Acceptance rate: 27%.

Refereed Book Chapters

1. Cutumisu, M., Ghoman*, S., & Schmölzer, G. M. (2022). Immersive learning in neonatal resuscitation education: An overview of the RETAIN project. Handbook of Research on Promoting Economic and Social Development Through Serious Games. 1-17. Eds: Oscar Bernardes and Vanessa Amorim. IGI Global. DOI: 10.4018/978-1-7998-9732-3.ch011

Refereed Conference Proceedings Papers

* denotes highly-qualified personnel

1. 1. Silvervarg, A., Blair, K. P., Cutumisu, M., & Gulz, A. (2022). Assessment of students’ feedback behavior in a game-based automated feedback system – A cross-cultural replication study. In Proceedings of the 30th International Conference on Computers in Education (ICCE) Sub-Conference on Advanced Learning Technologies (ALT), Learning Analytics and Digital Infrastructure. Kuala Lumpur, Malaysia, 28 November – 2 December.

   2. Lutsyk-King*, A., Cui, Y., Cutumisu, M., Gao*, Y., & Leighton, J. (2022). Assessing data literacy: Cognitive processes and biases in the digital arena. Special Track: Knowledge Acquisition at Risk - Transformation and Challenges of Learning in the Age of Information. In Proceedings of the International Forum on Knowledge Asset Dynamics (IFKAD), Lugano, Switzerland. June 20-22.

   3. Lu*, C., & Cutumisu, M. (2021). Integrating deep learning into an automated feedback generation system for automated essay scoring. 14th International Conference on Educational Data Mining (EDM). Paris, France, June 29-July 2. Acceptance rate: 25%.

   4. Adams, C., Cutumisu, M., & Lu*, C. (2019). Measuring K-12 computational thinking concepts, practices and perspectives: An examination of current CT assessments. In Proceedings of the Society for Information Technology & Teacher Education (SITE), Las Vegas, NV, March 18-22. Acceptance rate: 25-39%.

   5. Cutumisu, M. (2018). The influence of feedback choice on university students’ revision choices and performance in a digital assessment game. In Proceedings of the IEEE Computational Intelligence and Games (IEEE CIG) Conference. Special Session: Intelligent Games for Learning. Maastricht, The Netherlands, August 14-17. Acceptance rate: 46% = 51/110. Presented by M. Cutumisu.

   6. Cutumisu, M. (2017). Exploring the impact of the informational value of feedback choices on performance outcomes in an online assessment game. In Proceedings of the 14th International Cognition and Exploratory Learning in Digital Age (CELDA) Conference. Vilamoura, Algarve, Portugal, October 18-20, 77-84. Best Paper Award. Acceptance rate: 38% = 27/72. Presented by M. Cutumisu.

   7. Cutumisu, M., & Schwartz, D. L. (2016). The relation between high-school students’ performance and feedback memory. In Proceedings of the London International Conference on Education. London, United Kingdom, November 14-17, 80-85. Acceptance rate: 3% = 69/2646. Invited to the Journal Cross-Disciplinary Subjects in Education (IJCDSE), Volume 8, Issue 4. Presented by M. Cutumisu.

   8. Cutumisu, M., & Schwartz, D. L. (2016). The impact of middle-school students’ feedback choices and performance on their feedback memory. In Proceedings of the 13th International Cognition and Exploratory Learning in Digital Age (CELDA) Conference. Mannheim, Germany, October 28-30, 103-110. Invited to the Computers in Human Behavior journal. Acceptance rate: 49% = 34/69. Presented by M. Cutumisu.

   9. Cutumisu, M., & Schwartz, D. L. (2016). The effect of choosing versus receiving feedback on college students' performance. In Proceedings of the 13th International Cognition and Exploratory Learning in Digital Age (CELDA) Conference. Mannheim, Germany, October 28-30, pp. 95-102. Invited to the Computers in Human Behavior journal, in conjunction with Cutumisu and Schwartz (2016). Acceptance rate: 49% = 34/69. Presented by M. Cutumisu.

   10. Cutumisu, M., & Schwartz, D. L. (2016). Choosing versus receiving feedback: The impact of feedback valence on learning in an assessment game. In Proceedings of the 9th International Educational Data Mining Conference (EDM’16), Raleigh, NC, United States, June 29-July 2, pp. 341-346. Acceptance rate: 33% = 51/154. Presented by M. Cutumisu.

   11. Conlin, L., Chin, D. B., Blair, K. P., Cutumisu, M., & Schwartz, D. L. (2015). Guardian angels of our better nature: Finding evidence of the benefits of design thinking. In Proceedings of the 122nd American Society for Engineering Education (ASEE’15), Seattle, WA, United States, June 14-17, 10 pages. Acceptance rate: 36% = 45/125. Finalist in the Best of DEED Award (Design in Engineering Education) Division.

   12. Blair, K. P., Pfaffman, J., Cutumisu, M., Hallinen, N., & Schwartz, D. L. (2015). Testing the effectiveness of an iPad math game: Lessons learned from running a multi-classroom study. Case Study. In Proceedings of the CHI’15, Seoul, Korea, April 18-23, pp. 727-734. Acceptance rate: 25% = 379/1520.

   13. Cutumisu, M., & Schwartz, D. L. (2014). Choosing negative feedback improves learning for students of all ages: A game-based assessment of seeking negative feedback and revising. In Proceedings of the London International Conference on Education, London, UK, November 10-12, pp. 171-176. Acceptance rate: 9% = 231/2620. Invited to the International Journal of Technology and Inclusive Education. Presented by M. Cutumisu.

   14. Cutumisu, M., Chin, D. B., & Schwartz, D. L. (2014). A game-based assessment of students’ choices to seek feedback and to revise. In Proceedings of the 11th Intl. Conf. on Cognition and Exploratory Learning in Digital Age (CELDA), Porto, Portugal, October 25-27, pp. 17-24. Best Paper Award. Acceptance rate: 32% = 25/78. Invited to the Technology, Knowledge and Learning journal. Presented by M. Cutumisu.

   15. Cutumisu, M., & Szafron, D. (2009). An architecture for game behaviour AI: Behaviour multi-queues. In Proceedings of the 5th Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), Stanford, CA, United States, October 14-16, pp. 20-27. Acceptance rate: 44% = 18/41. Presented by M. Cutumisu.

   16. Cutumisu, M., Szafron, D., Bowling, M., & Sutton, R. S. (2008). Agent learning using action-dependent learning rates in computer role-playing games. In Proceedings of the 4th Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE), Stanford, CA, United States, October 22-24, pp. 22-29. Acceptance rate: 40% = 32/80. Presented by M. Cutumisu.

   17. Carbonaro, M., Cutumisu, M., Duff, H., Gillis, S., Onuczko, C., Schaeffer, J., Schumacher, A., Siegel, J., Szafron, D., & Waugh, K. (2006). Adapting a commercial role-playing game for educational computer game production. In Proceedings of the 2nd North American Game-On Conference (GameOn-NA’06), pp. 54-61. Best Paper Award.

   18. Cutumisu, M., Onuczko, C., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., Siegel, J., & Carbonaro, M. (2006). Evaluating pattern catalogs – The computer games experience. In Proceedings of the 28th International Conference on Software Engineering (ICSE’06), Shanghai, China, pp. 132-141. Acceptance rate: 9.1% = 36/395.

   19. Cutumisu, M., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., Onuczko, C., Carbonaro, M. (2005). Generating ambient behaviors in computer role-playing games. In LNAI 3814, Intelligent Technologies for Interactive Entertainment (INTETAIN ’05), Springer-Verlag, Madonna di Campiglio, Italy, November 30 - December 2, pp. 34-43. Invited to the IEEE Journal of Intelligent Systems. Presented by M. Cutumisu.

   20. Onuczko, C., Cutumisu, M., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., Waugh, K., Carbonaro, M., & Siegel, J. (2005). A pattern catalog for computer role-playing games. In Proceedings of the 1st North American GameOn Conference (GameOn-NA’05), Canada, pp. 33-38.

   21. Carbonaro, M., Cutumisu, M., McNaughton, M., Onuczko, C., Roy, T., Schaeffer, J., Szafron, D., Gillis, S., & Kratchmer, S. (2005). Interactive story writing in the classroom: Using computer games. In Proceedings of the Digital Games Research Association Conference (DiGRA’05), pp. 323-338. Acceptance rate: 16% = 60/370.

   22. McNaughton, M., Cutumisu, M., Szafron, D., Schaeffer, J., Redford, J., & Parker, D. (2004). ScriptEase: Generative design patterns for computer role-playing games. In Proceedings of the International Conference on Automated Software Engineering (ASE’04), Linz, Austria, pp. 88-99. Acceptance rate: 14% = 26/18.

   23. Cutumisu, M., Chan, C., Lu, P., & Szafron, D. (2004). MCI-Java: A modified JVM approach to multiple code inheritance. In Proceedings of the 3rd VM Research & Technology Symposium (UsenixVM ‘04), San Jose, CA, United States, pp. 13-28. Acceptance rate: 35% = 14/40.

Refereed Published Paper Abstracts

* denotes highly-qualified personnel

1. Lu*, C., Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020, November 4). Healthcare providers' perceptions and longitudinal performance in the RETAIN digital neonatal resuscitation simulator. Published paper abstract. Women and Children's Health Research Institute (WCHRI) Research Day. Edmonton, AB.

2. Southcott*, J., Lu*, C., & Cutumisu, M. (2020, November 4). Detecting patterns of mental health support utilization by gender with machine learning. Published paper abstract. Women and Children's Health Research Institute (WCHRI) Research Day. Edmonton, AB.

3. Yuen*, C., Solez*, A., & Cutumisu, M. (2016). Game changers: Evaluating post-secondary students’ computational thinking in a video game building class. Extended Abstract. In Proceedings of the London International Conference on Education, London, United Kingdom, November 14-17, pp. 163-164. Acceptance rate: 1% = 26/2646. Presented by M. Cutumisu.

4. Solez*, A., Yuen*, C., & Cutumisu, M. (2016). Quantifying children’s perceived gender roles and attitudes towards women in computing science. Extended Abstract. In Proceedings of the London International Conference on Education, London, United Kingdom, November 14-17, pp. 188-189. Best Extended Abstract Award. Acceptance rate: 1% = 26/2646. Presented by M. Cutumisu.

Refereed Conference Proceedings Posters

* denotes highly-qualified personnel

1. Pan*, Z., Jin*, H.-Y., Martínez-Rodríguez*, M. J., Song*, Y., & Cutumisu, M. (2023). Assessing computational thinking attitudes in empirical research: A systematic review. Poster. In Proceedings of the 17th International Conference of the Learning Sciences (ICLS). Montréal, QC, June 10-15.

2. Jin*, H.-Y., Song*, Y., Pan*, Z., & Cutumisu, M. (2023). Identifying pre-service teachers’ cognitive engagement patterns using time series clustering in a programming activity. Poster. In Proceedings of the 17th International Conference of the Learning Sciences (ICLS). Montréal, QC, June 10-15.

3. Song*, Y., Jin*, H.-Y., Pan*, Z., & Cutumisu, M. (2023). A systematic review of automated feedback generation in empirical educational research. Poster. In Proceedings of the 17th International Conference of the Learning Sciences (ICLS). Montréal, QC, June 10-15.

4. Tan*, B., & Cutumisu, M. (2022). Employing tree-based algorithms to predict students' self-efficacy in PISA 2018. Poster. In Proceedings of the 15th International Conference on Educational Data Mining (EDM). July 24-27, Durham, U.K.

5. Cutumisu, M., Turgeon*, K.-L., González Esparza*, L. M., Saiyera*, T., Chuong*, S., & Schwartz, D. L. (2018). Eye tracking students' gazes on feedback in a digital assessment game. Poster. Proceedings of the 13th International Conference of the Learning Sciences (ICLS). London, United Kingdom, June 23-27. Acceptance Rate: 31%. Presented by M. Cutumisu.

6. Cutumisu, M., Brown, M. R. G., Fray*, C., & Schmölzer, G. M. (2018). Growth mindset moderates the impact of neonatal resuscitation skill maintenance on performance in a simulation training video simulator. Poster. Canadian Paediatric Society 95th Annual Conference, May 30-June 2, Quebec City, Canada. In Paediatrics & Child Health, Oxford University Press.

7. Guo*, Q., Cutumisu, M., & Cui, Y. (2017). A neural network approach to estimate student skill mastery in cognitive diagnostic assessments. Poster. In Proceedings of the 10th International Conference on Educational Data Mining (EDM), 370-371, Wuhan, China: IEDMS, June 25-28. Acceptance rate: 33% = 39/118.

8. Cutumisu, M., & Schwartz, D. L. (2016). Learning choices predict high-school students’ memory for critical feedback. Poster. In Proceedings of the London International Conference on Education. London, United Kingdom, November 14-17, 106-106. Acceptance rate: 21% = 9/43. Presented by M. Cutumisu.

9. Cutumisu, M., & Szafron, D. (2008). Learning behaviours for non-player characters in computer role-playing games. Poster. In Proceedings of the 18th Canadian Conference on Intelligent Systems (IS ’08), Windsor, Canada, May 27-31. Presented by M. Cutumisu.

10. Cutumisu, M., Szafron, D., Schaeffer, J., & Waugh, K. (2007). Motivational ambient and latent behaviours in computer RPGs. Poster. In Proceedings of the 3rd Annual Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE ’07), Stanford, CA, United States, June 6-8, pp. 74-76. Presented by M. Cutumisu.

11. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2007). Motivational ambient and latent behaviours for non-player characters in CRPGs. Poster. In Proceedings of the 17th Annual Canadian Conference on Intelligent Systems (IS ’07), Montreal, Canada, May 27-30. Presented by M. Cutumisu.

12. Cutumisu, M., & Szafron, D. (2006). Generative design patterns for interacting agent behaviours in computer role-playing games. Poster. In Proceedings of the 16th Annual Canadian Conference on Intelligent Systems (IS ’06), Victoria, Canada, May 31-June 2. Presented by M. Cutumisu.

13. Cutumisu, M., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., & Onuczko, C. (2005). Using design patterns to generate ambient behaviours for interacting agents in computer role-playing games. Poster. In Proceedings of the 15th Annual Canadian Conference on Intelligent Systems (IS ’05), Quebec City, Canada, June 5-7. Presented by M. Cutumisu.

14. Cutumisu, M., McNaughton, M., Schaeffer, J., & Szafron, D. (2004). AI scripting in computer role-playing games. Poster. In Proceedings of the 14th Annual Canadian Conference on Intelligent Systems (IS ’04), Ottawa, Canada, June 6-8. Presented by M. Cutumisu.

15. Cutumisu, M., Lu, P., & Szafron, D. (2002). Multiple code inheritance in Java. Poster. IBM Cascon Conference (CASCON ’02), Toronto, Canada. Presented by M. Cutumisu.

Refereed Conference Proceedings Demonstrations

1. Cutumisu, M., & Szafron, D. (2008). A demonstration of agent learning with action-dependent learning rates in computer RPGs. Demonstration. In Proceedings of the 4th Annual Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE ’08), Stanford, CA, United States, October 22-24, pp. 218-219. Presented by M. Cutumisu.

2. Cutumisu, M., & Szafron, D. (2008). A demonstration of learning behaviours for non-player characters in computer role-playing games. Demonstration. In Proceedings of the 18th Canadian Conference on Intelligent Systems (IS ’08), Windsor, Canada, May 27-31. Presented by M. Cutumisu.

3. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2007). A demonstration of ScriptEase interruptible and resumable behaviours for CRPGs. Demonstration. In Proceedings of the 22nd Association for the Advancement of Artificial Intelligence (AAAI ’07), Vancouver, Canada, July 22-26, pp. 1968-1969. Presented by M. Cutumisu.

4. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2007). A demonstration of ScriptEase motivational ambient and latent behaviours for computer RPGs. Demonstration. In Proceedings of the 3rd Annual Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE ’07), Stanford, CA, United States, June 6-8, pp. 106-107. Presented by M. Cutumisu.

5. Onuczko, C., Szafron, D., Schaeffer, J., Cutumisu, M., Siegel, J., Waugh, K., & Schumacher, A. (2007). A demonstration of SQUEGE: A CRPG sub-quest generator. Demonstration. In Proceedings of the 3rd Annual Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE ’07), Stanford, CA, United States, June 6-8, pp. 110-111.

6. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2007). A demonstration of motivational ambient and latent behaviours for non-player characters in CRPGs. Demonstration. In Proceedings of the 17th Annual Canadian Conference on Intelligent Systems (IS ’07), Montreal, Canada, May 27-30. Presented by M. Cutumisu.

7. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2006). ScriptEase – Motivational behaviours for interactive characters in computer role-playing games. Demonstration. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI ’06), Intelligent Systems Demonstrations Session, Boston, MA, United States, July 16-20. Presented by M. Cutumisu.

8. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2006). A demonstration of ScriptEase ambient and PC-interactive behaviour generation for computer role-playing games. Demonstration. In Proceedings of the 2nd Artificial Intelligence and Interactive Digital Entertainment (AIIDE ’06), Marina del Rey, CA, United States, June 20-23. Presented by M. Cutumisu.

9. Onuczko, C., Szafron, D., Schaeffer, J., Cutumisu, M., Siegel, J., Waugh, K., & Schumacher, A. (2006). Automatic story generation for computer role-playing games. Demonstration. In Proceedings of the 2nd Artificial Intelligence and Interactive Digital Entertainment (AIIDE ’06), Marina del Rey, CA, United States, June 20-23.

10. Cutumisu, M., Szafron, D., Schaeffer, J., Waugh, K., Onuczko, C., Siegel, J., & Schumacher, A. (2006). A demonstration of generating motivational behaviours for interactive agents in computer role-playing games. Demonstration. In Proceedings of the 16th Annual Canadian Conference on Intelligent Systems (IS ’06), Victoria, Canada, May 31-June 2. Presented by M. Cutumisu.

11. Cutumisu, M., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., Onuczko, C., & Carbonaro. M. (2005). A demonstration of the ScriptEase approach to ambient and perceptive NPC behaviours in computer role-playing games. Demonstration. In LNAI 3814, Intelligent Technologies for Interactive Entertainment (INTETAIN ’05), Springer-Verlag, Madonna di Campiglio, Italy, November 30 - December 2, pp. 311-314. Presented by M. Cutumisu.

12. Cutumisu, M., Szafron, D., Schaeffer, J., McNaughton, M., Roy, T., & Onuczko, C. (2005). Using ScriptEase to generate independent and cooperative ambient behaviours for non-player characters in computer role-playing games. Demonstration. In Proceedings of the 15th Annual Canadian Conference on Intelligent Systems (IS ’05), Quebec City, Canada, June 5-7. Presented by M. Cutumisu.

13. Cutumisu, M., McNaughton, M., Szafron, D., Roy, T., Onuczko, C., Schaeffer, J., & Carbonaro, M. (2005). ScriptEase – A demonstration of ambient behaviour generation for computer role-playing games. Demonstration. In Proceedings of the 1st Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE ’05), Marina Del Rey, CA, United States, June 1-3. Presented by M. Cutumisu.

14. McNaughton, M., Cutumisu, M., Szafron, D., Schaeffer, J., Redford, J., & Parker, D. (2004). A demonstration of generating scripting code for computer role-playing games – ScriptEase. Demonstration. In Proceedings of the 19th IEEE International Conference on Automated Software Engineering (ASE ’04), Linz, Austria, September 20-24, pp. 386-387. Presented by M. Cutumisu.

15. Cutumisu, M., McNaughton, M., Schaeffer, J., & Szafron, D. (2004). AI scripting in computer role-playing games. Demonstration. In Proceedings of the 14th Annual Canadian Conference on Intelligent Systems (IS ’04), Ottawa, Canada, June 6-8. Presented by M. Cutumisu.

Refereed Oral Conference Presentations

This section does not include conference proceedings presentations (papers, abstracts, posters, and demonstrations); * denotes highly-qualified personnel.

1. Sune*, P., Jin*, H.-Y., Song*, Y., & Cutumisu, M. (2024). The use of eye tracking in computational thinking empirical research: A systematic review. Paper. Canadian Society for the Study of Education (CSSE), Montreal, QC, June 12-17.

2. Song*, Y., Zhang*, Y., Jin*, H.-Y., Bormann*, L., & Cutumisu, M. (2024). The use of computational thinking games in teaching, learning, and assessment: A systematic review. Paper. Canadian Society for the Study of Education (CSSE), Montreal, QC, June 12-17.

3. Jin*, H.-Y., Daniels, L., Cui, Y., Leighton, J., & Cutumisu, M. (2024). Exploring the validity and reliability of a computational thinking assessment for pre-service teachers. Poster. Canadian Society for the Study of Education (CSSE), Montreal, QC, June 12-17.

4. Pan*, Z., & Cutumisu, M. (2024). Development and validation of a pattern recognition instrument for undergraduate students. Poster. American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, April 11-14.

5. Pan*, Z., Johnson, M. D., & Cutumisu, M. (2024). Examining the relationship between ICT engagement and computational thinking: Does gender make a difference?. Poster. American Educational Research Association (AERA) Annual Meeting, Philadelphia, PA, April 11-14.

6. Song*, Y., & Cutumisu, M. (2023). An approach to automated feedback generation. 21st Century Learning Symposium. November 24, McGill University, Montreal, Canada.

7. Zhu*, C., Song*, Y., & Cutumisu, M. (2023). An overview of research on feedback in multimodal studies. 21st Century Learning Symposium. November 24, McGill University, Montreal, Canada.

8. González Esparza*, L. M., Cai*, M., Palestino Díaz*, I., Rebolledo Méndez, G., Cutumisu, M., & Demmans Epp, C. (2023). Automatically detecting affect in computerized learning environments: A systematic literature review. Paper. European Association for Research on Learning and Instruction (EARLI) Conference, Thessaloniki, Greece, August 22-26. Presented by M. Cutumisu.

9. Karimiabdolmaleki*, M., Farias Wanderley*, L., Cutumisu, M., & Demmans Epp, C. (2023). Identifying negative language transfer in the English writing of Chinese and Farsi native speakers. Poster. European Association for Research on Learning and Instruction (EARLI) Conference, Thessaloniki, Greece, August 22-26. Presented by M. Cutumisu.

10. Hoveling-Hofmann*, L., Howard*, K., Smith, V., Cutumisu, M., Searle, M. J., Brown, H. M. (2023, May). Mathematical Ability of Autistic Youth: What Best Explains the Heterogeneity? Poster. International Society for Autism Research (INSAR) Annual Meeting, Stockholm, Sweden.

11. Jin*, H.-Y., Pan*, Z., Martínez Rodríguez*, M. J., & Cutumisu, M. (2023). Insights into computational thinking from multi-modal data: A systematic review. Paper. Canadian Society for the Study of Education (CSSE), Toronto, ON, May 27 - June 1.

12. Cutumisu, M., Chu, B., Pan*, Z., Jin*, H.-Y., & Martínez Rodríguez*, M. J. (2023). Understanding attitudes toward data literacy: A systematic review. Paper. American Educational Research Association (AERA) Annual Meeting, Chicago, IL, May 4-5 (Virtual).

13. Jin*, H.-Y., & Cutumisu, M. (2023). The impact of prior knowledge and gender on pre-service teachers’ computational thinking and problem solving. Paper. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

14. Jin*, H.-Y., & Cutumisu, M. (2023). Classifying pre-service teachers’ computational thinking skills using machine learning algorithms. Paper. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

15. Pan*, Z., & Cutumisu, M. (2023). Is machine learning prediction of computational thinking generalizable across regions and cultures? Paper. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

16. Pan*, Z., & Cutumisu, M. (2023). Does culture matter in predicting secondary students’ life satisfaction? A machine learning approach. Paper. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

17. González Esparza*, L. M., Pan*, Z., Johnson, M. D., & Cutumisu, M. (2023). Exploring the relationship between ICT and reading for Mexican students in PISA 2018. Paper. American Educational Research Association (AERA) Annual Meeting, Chicago, IL, May 4-5 (Virtual).

18. Yousefpoori Naeim*, M., He*, S., Cui, Y., & Cutumisu, M. (2023). Predicting teacher research reading through machine learning algorithms. Paper. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

19. He*, S., Yousefpoori Naeim*, M., Cui, Y., & Cutumisu, M. (2023). Using machine learning to identify predictors of college enrollment. Paper. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

20. Jin*, H.-Y., & Cutumisu, M. (2023). The relationship between computational thinking and problem solving in an online programming activity. Poster. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

21. Song*, Y., Cui, Y., & Cutumisu, M. (2023). Does science curriculum type predict students’ achievement in science in the TIMSS data? Poster. American Educational Research Association (AERA) Annual Meeting. Chicago, IL. May 4-5 (Virtual).

22. Hamad*, G., & Cutumisu, M. (2022). Analyzing and evaluating vocabulary learning activities. Paper. TESL Ontario 50th Annual Conference. October 26-28, ON, Canada. Virtual.

23. Hamad*, G., & Cutumisu, M. (2022). Learning strategies and reading enjoyment predict Canadian students’ digital reading literacy in PISA 2018. Paper. 2nd Conference for Graduate Students in Language, Communication, and Culture (CGSLCC). August 17-18, Edmonton, AB.

24. Pan*, Z., Tan*, B., Wolber*, K., Attitalla*, H., & Cutumisu, M. (2022). Insights into computational thinking from think-aloud assessments: A systematic review. Paper. Canadian Society for the Study of Education (CSSE), May 14-20.

25. Cutumisu, M., Garn, K., & Spiteri, R. (2022). Deliberate practice with the Practi mobile app improved undergraduate students’ numerical analysis quiz performance. Paper. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25. Presented by M. Cutumisu.

26. González Esparza*, L. M., Jin*, H.-Y., Lu*, C., & Cutumisu, M. (2022). Performance comparison of tree-based algorithms for wheel-spinning behavior prediction. Paper. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25.

27. Jin*, H.-Y., González Esparza*, L. M., Lu*, C., & Cutumisu, M. (2022). Identifying factors affecting PISA 2018 digital reading literacy via machine learning algorithms. Paper. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25.

28. Tan*, B., Attitalla*, H., Wolber*, K., Pan*, Z., & Cutumisu, M. (2022). Machine learning methods in computational thinking assessments: A scoping review. Paper. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25.

29. Diaz*, A., Bulut, O., & Cutumisu, M. (2022). Estimating Classification Accuracy and Decision Consistency with classdecision. Paper. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25.

30. Cui, Y., Cutumisu, M., Chen*, F., Lutsyk*, A., & Leighton, J. (2022). A digital performance assessment for teaching and measuring critical thinking in the domain of data literacy. Addressing Practical Challenges in the International Performance Assessment of Critical Thinking. American Educational Research Association (AERA) Symposium. San Diego, CA, April 22-25.

31. Lu*, C., & Cutumisu, M. (2022). Better calibration of learner knowledge tracing using contextualized information. Poster. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25.

32. Karimiabdolmaleki*, M., Demmans Epp, C., & Cutumisu, M. (2022). Automated feedback generation in programming environments: A systematic review. Poster. Systematic Review and Meta-Analysis SIG Poster Session. American Educational Research Association (AERA) Annual Meeting, San Diego, CA, April 22-25. Presented by M. Cutumisu.

33. Lu*, C., Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2021). Mindset moderates healthcare providers’ performance in a neonatal resuscitation simulator. Paper. EARLI Conference. Online, August 23-27.

34. Lu*, C., & Cutumisu, M. (2021). Engagement and formative assessment mediate the relationship between attendance and course academic performance in a learning management system. Poster. EARLI Conference. Online, August 23-27.

35. Lu*, C., & Cutumisu, M. (2021). LSTM-MTSL: A deep learning approach to multivariate time-series log-event prediction of academic performance. Paper. National Council on Measurement in Education (NCME). Baltimore, MD, June 8-11.

36. Lu*, C., Cutumisu, M., & Gierl, M. (2021). Towards automated essay scoring and feedback generation. Paper. National Council on Measurement in Education (NCME). Baltimore, MD, June 8-11.

37. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2021, June 7-9). Immersive learning technologies for distance simulation education for neonatal resuscitation providers. Poster. Festival of Teaching and Learning. Edmonton, AB, Canada.

38. Lu*, C., & Cutumisu, M. (2021). Learner modeling for intelligent tutoring systems: A comparison of BKT and DKT. Paper. Canadian Psychological Association (CPA), Ottawa, ON, June 4 - 6.

39. Southcott*, J., & Cutumisu, M. (2021). A literature review of the CCHS-Mental Health support utilization variables. Short Paper. Canadian Psychological Association (CPA), Ottawa, ON, June 4 - 6.

40. Jin*, H.-Y., Lu*, C., González Esparza*, L., Southcott*, J., & Cutumisu, M. (2021). Scoping literature review: Deeper learning and computational thinking. Paper. 49th of the Canadian Society for the Study of Education (CSSE) Conference. Edmonton, AB, May 30 - June 3.

41. Southcott*, J., Lu*, C., Jin*, H.-Y., González Esparza*, L., & Cutumisu, M. (2021). Analyzing the reliability, validity, and model structure of mental health support utilization in the Canadian Community Health Survey. Paper. 49th of the Canadian Society for the Study of Education (CSSE) Conference. Edmonton, AB, May 30 - June 3.

42. Lu*, C., Ganguly*, P., Sabharwal*, P., Karimiabdolmaleki*, M., Southcott*, J., Jin*, H.-Y., González Esparza*, L., & Cutumisu, M. (2021). A review of automated-feedback generation in Intelligent Tutoring Systems. Paper. 49th of the Canadian Society for the Study of Education (CSSE) Conference. Edmonton, AB, May 30 - June 3.

43. Ghoman*, S.K., Cutumisu, M., Schmölzer, G.M. (2021). Serious games: A teaching revolution in healthcare. Poster. University of Alberta Innovation Showcase. May 10-14.

44. Lu*, C., Yuen*, C., Glanfield, F., Adams, C., & Cutumisu, M. (2021). Assessing pre-service teachers’ data literacy self-efficacy with the Callysto Computational Thinking test (CCTt). Secondary Education Graduate Students’ Association (SEGSA). Edmonton, AB, Canada, May 1.

45. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2021). Healthcare providers’ attitudes towards the RETAIN neonatal resuscitation simulator. Poster. Pediatric Academic Societies (PAS) Meeting, April 30 - May 4.

46. Cutumisu, M., Ghoman*, S. K., Lu*, C., Patel*, S. D., Garcia-Hidalgo*, C., Fray*, C., Brown, M. R. G., Greiner, R., & Schmölzer, G. M. (2021). Neonatal resuscitators’ performance, mindset, and attitudes towards a digital role-playing simulation game. Paper. American Educational Research Association (AERA) Annual Meeting, April 8-12. Presented by M. Cutumisu.

47. Cutumisu, M., & Lou*, N. M. (2021). Generic and specific mindsets for learning graphic design principles. Paper. American Educational Research Association (AERA) Annual Meeting, April 8-12. https://aera21-aera.ipostersessions.com/Default.aspx?s=C7-A7-D5-4C-9D-8A-81-A6-12-E8-17-15-D6-D2-2B-F5. Presented by M. Cutumisu.

48. Yuen*, C., Lu*, C., Hackman*, L., Samuel*, M., Cutumisu, M., & Adams, C. (2021). Conducting large-scale research in K-12 schools: Planning for unexpected challenges. Roundtable Session. American Educational Research Association (AERA) Annual Meeting, April 8-12.

49. Lu*, C., Yuen*, C., Glanfield, F., Cutumisu, M., & Adams, C. (2021). Using structural equation modeling to examine the relationship between computational thinking attitudes and skills. Roundtable Session. American Educational Research Association (AERA) Annual Meeting, April 8-12.

50. Lu*, C., Southcott*, J., & Cutumisu, M. (2021). Comparing unsupervised machine learning algorithms to cluster the responses to the Canadian Community Health Survey. Roundtable Session. American Educational Research Association (AERA) Annual Meeting, April 8-12.

51. Yuen*, C., Lu*, C., Glanfield, F., Cutumisu, M., & Adams, C. (2021). Validating educational assessments: The Callysto Computational Thinking test. Poster. American Educational Research Association (AERA) Annual Meeting, April 8-12.

52. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020, May). RETAIN digital simulation game improves short- and long-term neonatal resuscitation performance. Pediatric Academic Societies (PAS) Meeting, Philadelphia, PA, May 2-5.

53. Lu*, C., MacDonald*, R., Odell*, B., Kokhan*, V., Demmans Epp, C., & Cutumisu, M. (2020, May-June). Assessing computational thinking in higher education: A scoping review [Paper Session]. Canadian Society for the Study of Education (CSSE) Annual Conference, London, ON, May 30-June 4.

54. Smith, V., Cutumisu, M., Brown, H. M., & Labonté*, C. (2020). Persuasive writing for the 21st century. International Conference on Education and Effective Learning Strategies (ICEELS). Lisbon, Portugal. April 16-17.

55. Cutumisu, M., Schwartz, D. L., & Lou*, N. M. (2020). Learning choices mediate the relation between prior academic achievement and performance. Paper. National Council on Measurement in Education Annual Meeting (NCME), San Francisco, CA, April 16-20.

56. Odell*, B., & Cutumisu, M. (2020). Mathematics performance is measurement invariant in PISA 2015 across the ICT-participating countries. Paper. National Council on Measurement in Education Annual Meeting (NCME), San Francisco, CA, April 16-20.

57. Guo*, Q., Cutumisu, M., Cui, Y., & Leighton, J. (2020). A deep learning approach to cognitive diagnostic modeling: DVAE-CDM. Paper. National Council on Measurement in Education Annual Meeting (NCME), San Francisco, CA, April 16-20.

58. Brown, H., Cutumisu, M., Labonté*, C., & Smith, V. (2020). Positive impact of writing instruction using evidence-informed learning approaches. Paper. National Council on Measurement in Education Annual Meeting (NCME), San Francisco, CA, April 16-20.

59. Cutumisu, M. (2020, April). Confidence mediates the relation between enjoyment and performance on a computational-thinking test [Structured Poster Session]. In the session: "Transfer for Learning in the Classroom: Developing Contexts to Examine STEM Learning Skills & Strategies". American Educational Research Association (AERA) Annual Meeting, San Francisco, CA, April 17-21. http://tinyurl.com/y62ml7xr (Conference Cancelled)

60. Cutumisu, M., Lou*, N. M., & Odell*, B. (2020, April). The moderating and mediating role of mindset and choices in enhancing university students’ learning outcomes [Paper Session]. American Educational Research Association (AERA) Annual Meeting, San Francisco, CA, April 17-21. http://tinyurl.com/uns8fmo (Conference Cancelled)

61. Adams, C., Cutumisu, M., Yuen*, C., & Lu*, C. (2020). Towards measuring pre-service teachers’ computational thinking skills: Validating the Callysto Computational Thinking test (CCTt). Panel. Society for Information Technology and Teacher Education (SITE) Conference. April 6-10, New Orleans.

62. Yuen*, C., Cutumisu, M., Lu*, C., & Adams, C. (2020). Exploring pre-service teachers’ levels of data literacy and computational thinking with the CCT test (CCTt). SEGSA Conference. March 14, Edmonton. Cancelled due to COVID-19.

63. Yuen*, C., Lu*, C., Cutumisu, M., Adams, C., Hackman*, L., & Samuel*, M. (2020). Designing a large-scale, in-school computational thinking study. Dunlop Graduate Conference. March 13, Edmonton.

64. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Game-based digital simulation to improve neonatal resuscitation performance. Canadian National Perinatal Research Meeting (CNPRM), Banff, Canada, February 12-15.

65. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2020). Gamification to improve neonatal resuscitation knowledge and skills - RETAIN digital training simulator. Poster. International Meeting on Simulation in Healthcare (IMSH), San Diego, California, United States, January 18-22.

66. Ghoman*, S. K., Cutumisu, M., Brown, M. R. G., & Schmölzer, G. M. (2019). Serious games to revolutionize simulation-based education in neonatal healthcare. IDEAS Office Health Professions Education Scholarship Day, Edmonton, Canada, December 5. 

67. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2019). RETAIN board game as a summative assessment of healthcare professionals’ neonatal resuscitation knowledge. Poster. Women and Children’s Health Research Institute (WCHRI) Research Day, Edmonton, Canada, November 6.

68. Ghoman*, S. K., Cutumisu, M., & Schmölzer, G. M. (2019). Serious games: A teaching revolution in healthcare. Poster. Show and Tell: A student research celebration at the Chancellor and Senate of the University of Alberta, Edmonton, Canada, September 18. Outstanding Presentation Award.

69. Cutumisu, M., & Guo*, Q. (2019). Topic modeling of pre-service teachers’ computational thinking reflections. Paper. European Association for Research on Learning and Instruction (EARLI), Aachen, Germany, August 12-16. Presented by M. Cutumisu.

70. Cutumisu, M., & Turgeon*, K.-L. (2019). Eye-tracking pre-service teachers’ sight word efficiency reading skills. Paper. Canadian Psychological Association (CPA) 80th Annual National Convention, Halifax, Canada, May 31 - June 2. Presented by M. Cutumisu.

71. Cutumisu, M. (2019). The role of gender and confidence in pre-service teachers’ computational thinking skills in an undergraduate introductory educational technology course. Paper. Canadian Society for the Study of Education (CSSE) - Learning Sciences, Vancouver, Canada, June 2-5. Presented by M. Cutumisu.

72. Cutumisu, M., & Turgeon*, K.-L. (2019). Eye-tracking pre-service teachers’ nonword reading skills. Paper. Canadian Society for the Study of Education (CSSE) - Learning Sciences, Vancouver, Canada, June 2-5. Presented by M. Cutumisu.

73. Cutumisu, M., & Adams, C. (2019). Pre-Service teachers’ computational thinking skills are associated with their problem-solving skills in an undergraduate introductory educational technology course. Paper. Canadian Society for the Study of Education (CSSE) - Learning Sciences, Canadian Educational Researchers’ Association (CERA), Vancouver, Canada, June 2-5. Presented by M. Cutumisu.

74. Sonnenberg, L., Cutumisu, M., Jeffery*, T., & Schmölzer, G. M. (2019). The PERFECT approach to serious games. Oral presentation. Festival of Teaching and Learning, University of Alberta, May 2. Presented by M. Cutumisu.

75. Ghoman*, S. K., Cutumisu, M., Brown, M. R. G., & Schmölzer, G. M. (2019). RETAIN: A new approach to teaching and evaluating neonatal resuscitation. Poster. Festival of Teaching and Learning, University of Alberta, May 2. Co-presented by M. Cutumisu.

76. Bulut, O., & Cutumisu, M. (2019). ExamVis: An interactive feedback system for students. Poster. Festival of Teaching and Learning, University of Alberta, May 2. Co-presented by M. Cutumisu.

77. Brown, H.M., Trafford*, L., Gaudet*, E., Labonté*, C., Howard*, K., Del Colle*, R., Cutumisu, M., Searle, M., & MacCormack, J. (2019). Challenging stereotypes of math giftedness and math disability in students with autism spectrum disorder (ASD). Poster. International Society for Autism Research (INSAR) Annual Meeting, Montreal, Canada, May 1-4.

78. Ghoman*, S. K., Cutumisu, M., Brown, M. R. G., & Schmölzer, G. M. (2019). RETAIN – A serious board game as a summative assessment tool to evaluate healthcare professionals’ neonatal resuscitation knowledge and skills. Poster. Pediatric Academic Societies (PAS) Meeting, Baltimore, Maryland, April 27-30. First Place Presentation and Outstanding Project Award.

79. Odell*, B., Galovan, A., Bulut, O., & Cutumisu, M. (2019). Using novel structural equation models to explore the effect of technology on mathematics for students in the Program for International Student Assessment 2015. Paper. Canadian Educational Researchers' Association (CERA) Special Session at the American Educational Research Association (AERA) Annual Meeting, Toronto, ON, April 5-9.

80. Bulut, O., & Cutumisu, M. (2019). ExamVis: A score reporting system for visual communication of test results. Paper. National Council on Measurement in Education (NCME), Toronto, ON, April 4-8.

81. Lu*, C., Cutumisu, M., & Adams, C. (2019). A scoping review of empirical research on recent computational thinking assessments. Poster. American Educational Research Association (AERA), Toronto, ON, April 5-9. Presented by M. Cutumisu.

82. Saiyera*, T., Schmölzer, G. M., & Cutumisu, M. (2019). Measuring the impact of negative feedback assigned to students on their electrodermal activity with Empatica E4. Poster. Royce-Harder research conference. Department of Psychology, University of Alberta, Edmonton, Alberta, April 4.

83. Odell*, B., & Cutumisu, M. (2019). Does country moderate the relation between information and communication technology school use and science achievement? Paper. EEGSA/SEGSA Graduate Student Showcase, Edmonton, AB, March 9th. 

84. Yuen*, C., Lu*, C., Hackman*, L., Samuel*, M., Cutumisu, M., & Adams, C. (2019). Planning for unexpected challenges in large-scale, in-school research studies. Paper. EEGSA/SEGSA Graduate Student Showcase, Edmonton, AB, March 9th.

85. Odell*, B., Galovan, A., & Cutumisu, M. (2019). Exploring the effect of information and communication technologies on science achievement for students in the Program for International Student Assessment 2015. Paper. 12th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, Edmonton, AB, March 1st.

86. Lu*, C., Cutumisu, M., Adams, C., Yuen*, C., Hackman*, L., & Samuel*, M. (2019). Implementing a computational thinking survey for K-12 students. Paper. 12th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, Edmonton, AB, March 1.

87. Patel*, S. D., Cutumisu, M., Fray*, C., Brown, M. R. G., Jeffery*, T., von Hauff*, P., Schmölzer, G.M. (2018). Knowledge retention in neonatal healthcare providers increased after using a board game-based training simulator. Poster. Women and Children’s Health Research Institute (WCHRI) 11th Annual Research Day. October 24, Edmonton, Canada.

88. Patel*, S. D., Cutumisu, M., Fray*, C., Brown, M. R. G., Jeffrey*, T., von Hauff*, P., and Schmölzer, G. M. (2018). Does a board game improve neonatal resuscitation skills? Poster. The 51st Annual Summer Students’ Research Day. Edmonton, AB, October 12.

89. Bulut, O., Cutumisu, M., Singh*, D., & Aquilina*, A. (2018). Guidelines for generating effective feedback from computer-based assessments. Paper. International Testing Commission Conference, July 2-5, Montreal, QC, Canada.

90. Harley, J., Cutumisu, M., Daniels, L., Leighton, J., Liu*, Y., Nadon*, L., Gierl, M., Haldane*, C. (2018). Examining achievement emotions across test-taking contexts: Does environment influence affect? Poster. International Congress of Applied Psychology (ICAP), June 26-30, Montreal, Canada.

91. Cutumisu, M., & Schwartz, D. L. (2018). Growth mindset moderates the association between critical feedback and performance in a digital assessment game. Paper. American Educational Research Association (AERA). NYC, NY, April 13-17. Presented by M. Cutumisu.

92. Cutumisu, M., & Schwartz, D. L. (2018). The effect of feedback choices on mindset, revision, and performance in a digital assessment game. Poster. American Educational Research Association (AERA), NYC, NY, April 13-17. Presented by M. Cutumisu.

93. Lu*, C., Cutumisu, M., & Adams, C. (2018). Themes emerging from a literature review on computational thinking assessments. Paper. EEGSA/SEGSA Graduate Student Showcase, March 10, Edmonton, Canada.

94. Lu*, C., Cutumisu, M., & Adams, C. (2018). The state-of-the-art in computational thinking assessments: A literature review. Paper. 11th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, March 8, Edmonton, Canada.

95. Turgeon*, K.-L., & Cutumisu, M. (2018). Eye-tracking university students' word-reading skills using the TOWRE-II task. Paper. 11th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, March 8, Edmonton, Canada.

96. Nikouee*, M., & Cutumisu, M. (2018). A review of the effect of working memory capacity on learning from feedback. Paper. 11th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, March 8, Edmonton, Canada.

97. Yuen*, C., & Cutumisu, M. (2018). Pre-service teachers' experiences building video games in constructionist learning environments. Paper. 11th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, March 8, Edmonton, Canada.

98. Gange*, E., Smith, V., & Cutumisu, M. (2018). The influence of feedback on performance: A review of the literature. Poster. 11th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, March 8, Edmonton, Canada.

99. Smith, V., Brown, H. M., & Cutumisu, M. (2017). Flexible pathways to writing research project. Paper. Alberta Research Network Conference, Alberta Education. Edmonton, AB. October 5.

100. Smith, V., Maas, D., Brown, H., & Cutumisu, M. (2017). Flexible pathways to writing. Paper. Partner Research Schools Conference. Calgary, Canada, August 24-25.

101. Cutumisu, M., & Bulut, O. (2017). Problem-solving attitudes and gender as predictors of academic achievement in mathematics and science for Canadian and Finnish students in the PISA 2012 assessment. Paper. In Proceedings of the EdMedia Conference - World Conference on Educational Media & Technology, Washington, DC, June 20-23. Presented by M. Cutumisu.

102. Bulut, O., & Cutumisu, M. (2017). When technology does not add up: ICT use negatively predicts mathematics and science achievement for Finnish and Turkish students in PISA 2012. Paper. In Proceedings of the EdMedia Conference - World Conference on Educational Media & Technology, Washington, DC, June 20-23. Presented by M. Cutumisu.

103. Cutumisu, M. (2017). Learning choices predict middle-school students' performance and memory for critical informative feedback. Poster. 45th Canadian Society for the Study of Education (CSSE) Conference, May 28 - 31, Toronto, Canada. Presented by M. Cutumisu.

104. Cutumisu, M. (2017). Critical feedback choices predict middle-school students memory for feedback. Paper. Thirteenth International Conference on Technology, Knowledge & Society, May 26 - 27, Toronto, Canada. Presented by M. Cutumisu.

105. Cutumisu, M., & Schwartz, D. L. (2017). Assessing middle-school students’ feedback and revision behavior in a computer-based task. Symposium Paper (3000 words). American Educational Research Association (AERA '17) Symposium: Behavior Measurement - Investigating Performance Tasks as Measures of Social and Emotional Learning Skills, San Antonio, TX, United States, April 27 – May 1. Presented by M. Cutumisu.

106. Cutumisu, M. (2017). Differences between female and male university students in growth mindset. Paper. The 31st Joseph R. Royce Psychology Conference, March 23 - 24, Edmonton, Canada. Presented by M. Cutumisu.

107. Cutumisu, M., & Schwartz, D. L. (2016). Learning choices predict high-school students’ memory for critical feedback. Poster. In Proceedings of the London International Conference on Education. London, United Kingdom, November 14-17, pp. 1-1. Session Presentation (different than the poster presentation). Presented by M. Cutumisu.

108. Cutumisu, M., & Schwartz, D. L. (2016). Exploring the impact of feedback agency on the enjoyment of playing an assessment game. Paper. 44th Canadian Society for the Study of Education Conference (CSSE ‘16), Calgary, Canada, May 28 - June 1, pp. 1-5. Presented by M. Cutumisu.

109. Cutumisu, M., Blair, K. P., Schwartz, D. L., & Chin, D. B. (2015). A game-based assessment of children’s choices to seek feedback and to revise. Paper. American Educational Research Association Annual Meeting (AERA ‘15), Chicago, IL, United States, April 16-20, pp. 1-9. Presented by M. Cutumisu.

110. Chin, D. B., Cutumisu, M., & Schwartz, D. L. (2014). Got choice? A game-based model for learning assessments. Paper. 27th Annual Visitor Studies Association Conference (VSA ‘14), 12(1), Albuquerque, NM, United States, July 15-19, pp. 1-4.

111. Cutumisu, M., McNaughton, M., Schaeffer, J., & Szafron, D. (2005). AI scripting in computer role-playing games. Best Poster Award. NSERC iCore Summit, Banff, Canada, August 31-September 2. Presented by M. Cutumisu.

Selected Invited Talks and Demonstrations

1. Pan*, Z., Jin*, H.-Y., Martínez-Rodríguez*, M. J., Song*, Y., & Cutumisu, M. (2024, January 17). Assessing computational thinking attitudes in empirical research: A systematic review. Invited Presentation. CMASTE Seminar. Edmonton, AB, Canada.

2. Jin*, H.-Y., Song*, Y., Pan*, Z., & Cutumisu, M. (2024, January 17). Identifying pre-service teachers’ cognitive engagement patterns using time series clustering in a programming activity. Invited Presentation. CMASTE Seminar. Edmonton, AB, Canada.

3. Song*, Y., Jin*, H.-Y., Pan,* Z., & Cutumisu, M. (2024, January 17). A systematic review of automated feedback generation in empirical educational research. Invited Presentation. CMASTE Seminar. Edmonton, AB, Canada.

4. Cutumisu, M. (2023). Ethics and privacy-preserving data mining. Invited Presentation and Workshop. NSERC CREATE Bootcamp. Edmonton, AB, May 17, 9 AM - 4 PM.

5. Cutumisu, M. (2023). Applying data science methods to uncover learning processes. Invited Presentation - Closing Keynote Speaker. Workshop Day Presentation. Youreka Edmonton, Edmonton, AB, March 3.

6. Cutumisu, M. (2022, July 28). Promoting design thinking to prepare learners for the demands of the 21st century. Invited Presentation. Department of Educational and Counselling Psychology, Faculty of Education, McGill University.

7. Cutumisu, M. (2021). AI and gender in game-based teaching and learning. Invited Panel Presentation. Artificial intelligence in health sciences education panel. McGill University. Virtual, June 22.

8. Cutumisu, M., & Adams, C. (2020). Computational thinking assessments. Invited Presentation. Centre for Mathematics, Science, and Technology Education (CMASTE), Virtual, September 30.

9. Cutumisu, M. (2020). The role of mindset and learning choices in enhancing pre-service teachers' learning outcomes. Invited Presentation. Professional Development Day: "Try. Persist. Grow." Edmonton Public Schools, Centre for Education, March 9.

10. Lu*, C., Yuen*, C., Hackman*, L., Samuel*, M., Cutumisu, M., & Adams, C. (2019, December 11). A scoping review of empirical research on recent computational thinking assessments. Invited Presentation. CMASTE Seminar. Edmonton, AB, Canada.

11. Cutumisu, M. (2018). The future of behavioural assessments in the digital age. Invited Symposium Presentation. CanAm Symposium - Canada-USA forum, December 7.

12. Cutumisu, M. (2018). Feedback in measurement, evaluation, and cognition. Invited Symposium Presentation. 11th Annual G. M. Dunlop Educational Psychology Graduate Student Research Conference, March 8, Edmonton, Canada.

13. Cutumisu, M. (2016, Spring). A demonstration of Scratch & Kodu for pre-service teachers. Invited Demonstration. Maker Day Conference, University of Alberta.

14. Cutumisu, M. (2015, Fall). A demonstration of Scratch & Kodu for pre-service teachers. Invited Demonstration. Maker Day Conference, University of Alberta.

15. Cutumisu, M. (2015). Posterlet: Assessment game for learning (1h). Invited Presentation. Stanford Research Institute (SRI), Menlo Park, CA, US.

16. Cutumisu, M. (2015). Building assessment games (1h). Invited Presentation. Educational Psychology, University of Alberta.

17. Schwartz, D. L., & Cutumisu, M. (2014). Choice-based assessments of preparation for future learning. Invited Presidential Address, Symposium: New ways to evaluate mathematics and science education. American Educational Research Association Annual Meeting (AERA ’14), Philadelphia, PA, United States, April 3-7.

18. Cutumisu, M. (2013). Building games: Constructionist approach to learning (1h). Invited Presentation. AAA Lab, Stanford University, United States.

19. Cutumisu, M. (2012). Building games to learn (1h). Invited Presentation. Northwestern University, Evanston, United States.

20. Cutumisu, M. (2012). ScriptEase behaviour patterns (1h). Invited presentation. Harry Ainlay High School, Edmonton.

21. Cutumisu, M. (2010). Building games to learn (1h). Invited Presentation. Centre for Teaching and Learning (CTL), University of Alberta.

22. Cutumisu, M. (2010). Video game building workshop. Invited Workshop. Centre for Teaching and Learning (CTL), University of Alberta.

23. Cutumisu, M. (2006). A demonstration of a game authoring tool for the Neverwinter Nights game. Invited presentation. Greater Edmonton Teachers’ Convention Association (GETCA), March 2nd.

24. Cutumisu, M. (2005). A demonstration of Alice (www.alice.org), an educational software that teaches students programming in a 3D environment. Invited Demonstration. WIT (Women in Technology) - Choices event.

25. Schaeffer, J., Carbonaro, M., Cutumisu, M., McNaughton, M., Onuczko, C., Roy, T., & Szafron, D. (2005). Interactive story writing using ScriptEase. Invited Talk. In Proceedings of the First Artificial Intelligence and Interactive Digital Entertainment Conference, Marina del Rey, CA, United States, June 1–3, pp. 163.

Selected Non-refereed Contributions

* denotes highly-qualified personnel

1. Martinez Rodriguez*, M. J., & Cutumisu, M. (2022). Understanding attitudes toward data literacy: systematic review. Video. Mitacs Globalink Research Internship. University of Alberta International Research Internship Three-Minute Thesis (UAI 3MT) Symposium. University of Alberta, August 10. https://youtu.be/teaOEFCD60c

2. Jin*, H.-Y., González*, L. M. E., & Cutumisu, M. (2022). A machine learning approach to identifying factors that affect PISA 2018 digital reading literacy. Poster. AI4Society Reverse Expo. February 18, 2022, University of Alberta, Edmonton, AB.

3. Pan*, Z., & Cutumisu, M. (2022). Predicting secondary students’ life satisfaction with machine learning approaches: Does culture matter? Poster. AI4Society Reverse Expo. February 18, 2022, University of Alberta, Edmonton, AB.

4. Tan*, B., & Cutumisu, M. (2022). A machine learning approach to predicting students’ self-efficacy. Poster. AI4Society Reverse Expo. February 18, 2022, University of Alberta, Edmonton, AB.

5. Tan*, B., Jin*, H.-Y., & Cutumisu, M. (2022). Machine learning in computational thinking assessments. Poster. AI4Society Reverse Expo. February 18, 2022, University of Alberta, Edmonton, AB.

6. Wolber*, K., & Cutumisu, M. (2021). Systematic review: Using eye-tracking to better understand computational thinking. Video. Mitacs Globalink Research Internship. University of Alberta International Research Internship Three-Minute Thesis (UAI 3MT) Symposium. University of Alberta, July 30. https://youtu.be/Rte_IpSVuvg.

7. Kokhan*, V., & Cutumisu, M. (2019). Building a computational thinking game to teach sequencing. Poster. Mitacs Globalink Research Internship Poster Session. August 22, Telus Centre, University of Alberta.

8. Saiyera*, T., Schmölzer, G. M., Cutumisu, M. (2019). Negative feedback assigned to students is associated with sympathetic arousal indexed by Empatica E4. Psychiatry Research Day, University of Alberta. May 15, Edmonton, Canada.

9. Ghoman*, S. K., Cutumisu, M., Brown, M. R. G., & Schmölzer, G. M. (2019). RETAIN board game training simulator as a summative assessment tool to evaluate healthcare professionals’ neonatal resuscitation knowledge. Poster. University of Alberta Critical Care Research Day, Edmonton, Canada, May 15.

10. Ghoman*, S. K., Cutumisu, M., Brown, M. R. G., & Schmölzer, G. M. (2019). Assessing healthcare professionals' neonatal resuscitation competence with RETAIN. Poster. University of Alberta Pediatric Research Day, Edmonton, Canada, May 15. 

11. Bulut, O., & Cutumisu, M. (2019). ExamVis: An interactive feedback system for students. Poster. ENGAGE, University of Alberta, March 28.

12. Cutumisu, M., Adams, C., Yuen*, C., Hackman*, L., Lu*, C., Samuel*, M., & Chu, B. (2019) Assessing computational thinking and data literacy: Designing the Callysto Computational Thinking Test (CCTt). Poster. ENGAGE. University of Alberta, Edmonton, AB, March 28.

13. Odell*, B., Galovan, A., & Cutumisu, M. (2019). Information and Communication Technology (ICT) factors associated with mathematics and science achievement. Poster. ENGAGE. University of Alberta, Edmonton, AB, March 28.

14. Harley, J. M., Cutumisu, M., Daniels, L., Leighton, J., Liu*, Y., Nadon*, L., Gierl, M., & Haldane*, C. (2019). Examining achievement emotions across exam-taking contexts: Does environment influence affect? Poster. ENGAGE. University of Alberta, Edmonton, AB, March 28.

15. Ghoman*, S. K., Cutumisu, M., Jeffery*, T., von Hauff*, P., & Schmölzer, G. M. (2019). Using RETAIN to teach neonatal resuscitation. Poster. Stollery Cardiac Sciences Research Day, Edmonton, Canada, February 21.

16. Cutumisu, M., Adams, C., Yuen*, C., Hackman*, L., Lu*, C., & Samuel*, M. (2019). Callysto Computational Thinking Test (CCCt) Student Version.

17. Adams, C., Cutumisu, M., Yuen*, C., Hackman*, L., Lu*, C., & Samuel*, M. (2019). Callysto Computational Thinking Test (CCCt) Teacher Version.

18. Schmölzer, G. M., Cutumisu, M., Jeffery*, T., von Hauff*, P., & Brown, M. R. G. (2018). RETAIN - A new approach to teaching neonatal resuscitation. Poster. Celebration of Teaching & Learning Awards Ceremony & Poster Presentation. November 6, Edmonton, Canada.

19. Yan*, J., & Cutumisu, M. (2018). Building Phaser.js games to teach computational thinking. Poster. Mitacs Globalink Research Internship Poster Session, August 22, Telus Centre, University of Alberta.

20. González Esparza*, L. M. E., & Cutumisu, M. (2017). A sequencing puzzle game in Phaser.js. Poster. Mitacs Globalink Research Internship Poster Session. July 6, Telus Centre, University of Alberta.

21. Smith, V., Brown, H., Cutumisu, M., Andrews, K., & Maas, D. (2017). Flexible pathways to writing: Research community of practice. Poster. ENGAGE. March 23, University of Alberta, Edmonton, AB. Presented by M. Cutumisu.

22. Garn, K., Spiteri, R., & Cutumisu, M. (2016). Mobile in class: Practi workshop. Workshop. Sponsored by the Kule Institute for Advanced Studies (KIAS) Dialogue Grant. 9AM - 12PM, December 6. University of Alberta.

23. Garn, K., Spiteri, R., & Cutumisu, M. (2016). Mobile in class: Blending strategies so learning sticks. Oral Presentation. Sponsored by the Kule Institute for Advanced Studies (KIAS) Dialogue Grant. 3:30PM - 5PM, December 5. University of Alberta.

24. Ma*, H., Yuen*, C., Solez*, A., Faisal*, W., & Cutumisu, M. (2016). The building blocks of computational thinking: Use of gaming in education. Poster. Women in Scholarship, Engineering, Science, & Technology (WISEST), August 16, University of Alberta.

25. Faisal*, W., Yuen*, C., Solez*, A., Ma*, H., & Cutumisu, M. (2016). Break or bail: Creating Minecraft mods for computational thinking. Poster. High-school Internship Program (HIP), Department of Computing Science, August 11, University of Alberta.

26. Cutumisu, M. (2015). Positive or negative? Your choice of feedback matters for learning (1h). Open House, University of Alberta.

27. Cutumisu, M. (2015). Demonstration of visual programming languages (6h). Open House, University of Alberta.

28. Cutumisu, M. (2015). Posterlet: A game assessment of students’ choices. May 26. Foothill College, CA, US.

29. Cutumisu, M. (2009-2012). Annual report system demonstration. 1h. Faculty of Science, University of Alberta.

30. Cutumisu, M. (2009). Using behaviour patterns to generate scripts for CRPGs. Graduate Seminar Presentation, Department of Computing Science, University of Alberta.

31. Cutumisu, M. (2009). Using behaviour patterns to generate scripts for CRPGs. Ph.D. Dissertation, Department of Computing Science, University of Alberta, Canada.

32. Cutumisu, M. (2003). Multiple code inheritance in Java. M.Sc. Thesis, Department of Computing Science, University of Alberta.

Media

1. Rutherford, G. (2022, June 9). Creating Canada’s high-tech innovators of tomorrow. Folio. University of Alberta.

2. Vineberg, T. (2019, June). Board and video game aims to improve neonatal resuscitation training. Department of Pediatrics News.

3. Schwab, K. (2019, May). A controversial design strategy is helping sixth graders do better in school. Fast Company.

4. Andrews, E. L. (2019, April). Will design-thinking strategies benefit students after class is dismissed? Stanford GSE news.

5. Hampel, M. (2019, February). Groundbreaking research assesses the computational thinking skills of Canadian students and teachers. Callysto.ca blog describing the CanCode Callysto project.

6. Barnes, K. (2019, February 11). Faculty of Education social media (Twitter, Instagram). International Women in Science Day.

7. Kinash, S. (2018, March 1). Research Services Office (RSO)'s Report to the Community 2017. Asking Questions

8. Barnes, K. (2017). Illuminate Magazine. New teacher helps students take a crack at code.

9. Sparks, S. (2017, April 30). Education Week. AERA: Measuring persistence and self-control through tasks, not tests

10. Kule Institute for Advanced Studies (KIAS) Winter Newsletter, University of Alberta (2017, January 10). Mobile in class: Blending strategies so learning sticks

11. Hanlon, J. (2011, February 10). ExpressNews, University of Alberta. Computing science rewriting the program to get girls in the game

12. Fahey, M. (2011, February 10). Kotaku. Luring women into computer science through gaming

13. ScienceDaily (2011, February 9). Girls' interest in computing science piqued by making video games

14. United Press International (2011, February 9). Study: Girls can design videogames, too

15. Ottosen, E. (2007). Department of Computing Science Newsletter, University of Alberta. Research profile: ScriptEase