Manuscript in preparation
Chao, J., Wiedemann, K., Galluzzo, B., & Simoneau, E. (n.d.). Computational thinking in mathematical modeling - the understanding and use of variables among novice modelers. Manuscript in preparation.
Jiang, S., Qian, Y., Tang, H. Yalcinkaya, R., Rosé, C. P., Chao, J., & Finzer, W. (under review). Examining Computational Thinking Processes in Modeling Unstructured Data. Manuscript submitted for review.
Peer-Reviewed Journal Articles
Lore, C., Lee, H.-S., Pallant, A., & Chao, J. (2024). Using multiple, dynamically linked representations to develop representational competency and conceptual understanding of the earthquake cycle. Computers & Education, 222. https://doi.org/10.1016/j.compedu.2024.105149
Horton, N. J., Chao, J., Palmer, P., & Finzer, W. (In press). How learners produce data from text in classifying clickbait. Teaching Statistics.
Horton, N. J., Chao, J., Finzer, W., & Palmer, P. (2022). Spam four ways: Making sense of text data. CHANCE, 35(2), 32-40. DOI: 10.1080/09332480.2022.2066414
*Wang, C., Shen, J., & Chao, J. (2021). Integrating computational thinking in STEM education: a literature review. International Journal of Science and Mathematics Education, 1-24. doi:10.1007/s10763-021-10227-5. (link to PDF)
*Xing, W., Chen, G., Huang, X., Chao, J., Massicotte, J., & Xie, C. (in press). Automatic assessment of students’ engineering design performance using a Bayesian Network model. Journal of Educational Computing Research.
*Wiedemann, K. T., Chao, J., Galluzzo, B., & Simoneau, E. (2020). Mathematical modeling with R: Embedding computational thinking into high school math classes. ACM Inroads, 11(1), 33-42.
Chao, J., Xie, C., Massicotte, J., Schimpf, C., Lockwood, J., Huang, X., & Beaulieu, C. (2018). Solarize Your School: A solar energy system design challenge. The Science Teacher. (Link)
Goldstein, M. H., Purzer, S., Adams, R. S., Chao, J., Xie, C. (2018). The relationship between design reflectivity and conceptions of informed design among high school students. European Journal of Engineering Education, online advanced publication. DOI: 10.1080/03043797.2018.1498458
Feldon, D. F., Franco, J., Chao, J., Peugh J., & Maahs-Fladung, C. (2018). Self-efficacy change associated with a cognitive load-based intervention in an undergraduate biology course. Learning and Instruction, 56, 64-72.
Xie, C., Schimpf, C., Chao, J., Nourian, S., & Massicotte, J. (2018). Learning engineering design through modeling and simulation on a CAD platform. Computer Applications in Engineering Education, 26(4), 824-840.
Chao, J., Feldon, D. F., & Cohoon, J. P. (2018). Dynamic Mental Model Construction: A knowledge in pieces-based explanation for computing students’ erratic performance on recursion. Journal of the Learning Sciences, 27(3), 431-473. (PDF)
Chao, J., Xie, C., Nourian, S., Chen, G., Bailey, S., Goldstein, M. H., Purzer, S., Adams, R. S., & Tutwiler, M. S. (2017). Bridging the design-science gap with tools: Science learning and design behaviors in a simulated environment for engineering design. Journal of Research in Science Teaching, 54(8), 1049-1096.
Chao, J., Chiu, J. L., DeJaegher, C. J., & Pan, E. A. (2015). Sensor-augmented virtual labs: Using physical interactions with science simulations to promote understanding of gas behavior. Journal of Science Education and Technology, 25(1), 16–33. http://doi.org/10.1007/s10956-015-9574-4 (PDF)
Chiu, J. L., DeJaegher, C. J., & Chao, J. (2015). The effects of augmented virtual science laboratories on middle school students’ understanding of gas properties. Computers & Education, 85, 59–73. http://doi.org/10.1016/j.compedu.2015.02.007 (PDF)
Maher, M., Feldon, D., Timmerman, B., & Chao, J. (2014). Faculty perceptions of common challenges encountered by novice doctoral writers. Higher Education Research and Development, 33(4), 699–711.
Cohoon, J. M. G., Wu, Z., & Chao, J. (2009). Sexism: Toxic to women’s persistence in CSE doctoral programs. ACM SIGCSE Bulletin, 41(1), 158–162. ACM. Retrieved from http://portal.acm.org/citation.cfm?id=1508924 (PDF)
Cohoon, J. M., & Chao, J. (2009). Sexism: Toxic to women's persistence in CSE doctoral programs. Computing Research News, 21(1). Retrieved February 9, 2009, from http://www.cra.org/CRN/articles/jan09/cohoon_on_sexism.html.
Yang, Z. L., Soloway, R. D., Chao J., Liu X. B., Zhang L., Wang F., & Wu J. G. (2004). Association of Unconjugated Bilirubin with Microparticulates of Calcium Carbonate Synthesized in a Phosphotidyl Choline Vesicle Solution. Gastroenterology, 126(4): A234-A234 Suppl. 2, APR 2004.
Pan, E. A., Chiu, J. L., & Chao, J. (2014). Mixed-reality labs: Combining sensors and simulations to improve STEM education. In R. E. Yager & M. A. Mullinnix (Eds.), Exemplary STEM programs: Designs for success. Arlington, VA: NSTA Press.
Chao, J. (2023, March). Math modeling with M2Studio, a semi-structured workspace with dynamically linked representations. Presentation at the National Council of Teachers of Mathematics 2023 Virtual Conference.
Chao, J., Finzer, W., Rosé, C., Jiang, S., Ellis, R., Wiedemann, K., Tatar, C., & Fiacco, J. (2023, March). Teach Artificial Intelligence with StoryQ [Paper Presentation]. SIGCSE TS 2023: The 2023 Technical Symposium on Computer Science Education. Toronto, Canada.
Chao, J., Ellis, R., Jiang, S., Rosé, C., Finzer, W., Tatar, C., Fiacco, J., & Wiedemann, K., (2023, Feb). Exploring Artificial Intelligence in English Language Arts with StoryQ. Presentation at EAAI-23: The 13th Symposium on Educational Advances in Artificial Intelligence. Washington, D.C., USA.
Chao, J., Finzer, W., Cytacki, S., Zbiek, R., Galluzzo, B., Ellis, R., Wiedemann, K., Brass, A., & Haavind, S. (2022). Analyzing learners’ behaviors with mediated modeling actions diagram. Paper accepted by 2022 National Council of Teachers of Mathematics Research Conference. Los Angeles, CA.
Chao, J., Finzer, W., Cytacki, S.,... Haavind, S. (2022) High school students’ mathematical modeling processes shaped by diagrammatic programming tools. Presentation at ICTMA20 - the 20th International Conference on the Teaching of Mathematical Modelling and Applications. Virtual conference.
Tatar, C., Jiang, S., Chao, J., Yoder M. M., Wiedemann, K., Finzer, W., & Rosé, C. P. (2021, November). Designing an Artificial Intelligence curriculum with high school teachers and students. Presented at the annual convention of the Association for Educational Communications and Technology. A virtual conference.
Tatar, C., Yoder, M. M., Coven, M., Wiedemann, K., Chao, J., Finzer, W., ... & Rosé, C. P. (2021, October). Modeling Unstructured Data: Teachers as Learners and Designers of Technology-enhanced Artificial Intelligence Curriculum. In International Society of the Learning Sciences Annual Meeting 2021.
Chao, J., Pallant, A., Lee, HS., Lore, C., & Conner, C. (April, 2021). Forecasting volcanic hazards and risk based on Monte Carlo simulation. Presentation at the annual international conference of the National Association of Research in Science Teaching, Virtual Conference. (Slides)
Chao, J., Rosé, C. (Jan, 2021). Narrative modeling with StoryQ: Integrating mathematics, language arts, and computing to create pathways to artificial intelligence careers. Presentation at the State of K-12 AI Education in Your State: A Planning Workshop. Virtual conference.
Horton, N., Chao, J., Finzer, W., & Palmer, P. (2021). How learners make sense of text as data in classifying clickbait. Paper to be presented at the Twelfth International Research Forum on Statistical Reasoning, Thinking and Literacy (SRTL-12).
Staudt, C., Chao, J., & Wendel, D. (2020). Impacts of Sequential Experience with Agent-Based Modeling and System Dynamics Modeling on Students' Ability to Link Across Levels in Reasoning about Complex Phenomena. Paper presented at the annual international conference of the National Association of Research in Science Teaching, Portland, OR.
Wang, C., Shen, J., & Chao, J. (October, 2019). Integrating computational thinking in STEM education: a literature review. Poster presented at the National STEM Education Research Summit, Raleigh, NC.
Chao, J., Galluzzo, B., & Simoneau, E. (September, 2019). Computing with R for Mathematical Modeling Infuse Computational Thinking into Math Classrooms through Math Modeling with R. Poster presented at the STEM+Computing PI Summit, Alexandria, VA
Chao, J., Galluzzo, B. J., & Simoneau, E. (2019, April). CodeR4MATH: Become power modelers via intuitive coding with R. Workshop presented at the annual meeting of the National Council of Teachers of mathematics, San Diego, CA.
Staudt, C., Chao, J., Lee, H-S., Klopfer, E., Dorsey, C., Wendel, D., & Roderick, S. (2019, April). Linking Agent-Based and Systems Dynamics Modeling Practices. Paper presented at the annual international conference of the National Association of Research in Science Teaching, Baltimore, MD.
Bywater, J. P., Floryan, M., Chiu, J., Chao, J., Schimpf, C., Xie, C., Vieira, C., Magana, A., & Dasgupta, C. (2018). Using Machine Learning Techniques to Capture Engineering Design Behaviors. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences.
Chao, J., Simoneau, E., & Galluzzo, B. J. (2018). Computing with R for mathematical modeling: Infuse computational thinking into math classrooms through math modeling with R. Poster presented at the National Science Foundation Discovery Research PreK-12 PI Meeting, Washington, D.C. (PDF)
Xie, C., Chao, J., Huang, X., Massicotte, J., & Schimpf, C. (2018, April). Global lab 2.0: The virtual solar grid. Poster to be presented at the annual meeting of the American Educational Research Association, New York, NY.
Dasgupta, C., Magana, A. J., & Chao, J. (2017, June). Investigating teacher’s technological pedagogical content knowledge in a CAD-enabled learning environment. Paper to be presented at the annual conference and exposition of the American Society for Engineering Education, Columbus, OH.
Chao, J., Xie, C., Schimpf, C., Massicotte, J., & Nourian, S. (2017, April). Empowering students to be change makers with innovative design tools. Paper presented at the annual international conference of the National Association of Research in Science Teaching, San Antonio, TX. (PPT)
Chao. J., & Xie, C. (2017, April). Assessing systems thinking using a design improvement task and CAD logs. Paper presented at the annual international conference of the National Association of Research in Science Teaching, San Antonio, TX. (PPT)
Williams, D. N., McCulloch, C., Chao, J., Danahy, E., & McGinnis-Cavanaugh, B. (2016, October). Engineering for every K-12 student: Leveraging resources, supporting collaboration. Panel presentation at the Massachusetts Science Education Leadership Conference, Marlborough, MA. (PPT)
Adams, R. S., Goldstein, M., Purzer, Ş., Chao, J., Xie, C., & Nourian, S. (2016). Traversing the barriers to using big data in understating how high school students design. In Design Computing and Cognition '16 (pp. 613-631). Springer, Cham. (PDF)
Chao, J., Xie, C., Chen, G., Nourian, S., Goldstein, M. H., Purzer, S., & Adams, R. S. (2016, April). Assessing informed design strategies using CAD logs. Paper presented at the annual international conference of the National Association of Research in Science Teaching, Baltimore, MD. (PPT)
Chao, J., Chiu, J. L., & DeJaegher, C. J. (2015, April). Effects of user interface on simulation-based science learning: Tangible user interface versus graphical user interface. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.
DeJaegher, C. J., Chiu, J. L., & Chao, J. (2015, April). Sensor-augmented virtuality laboratories: Investigating the impact of user interface on student learning in secondary science. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.
Chao, J., Chiu, J. L., Pan, E. A., DeJaegher, C. J., Hazzard, E., & Xie, C. (2014, April). Sensor-augmented virtual labs: Using physical interactions to promote understanding of complex science concepts. Paper presented at the annual meeting of the American Educational Research Association, Philadelphia, PA. (PDF)
DeJaegher, C. J., Chiu, J. L., & Chao, J. (2014, June). Design principles for science laboratory instruction using augmented virtual technologies. Poster presented at the annual meeting of the International Conference of the Learning Sciences, Boulder, CO.
Chao, J., Chiu, J. L., DeJaegher, C. J., Hazzard, E., & Xie, C. (2013, April). The effects of mixed reality labs on students’ conceptual understanding, cognitive load, and epistemology of science. Paper presented at the annual meeting of the American Educational Research Association, San Francisco, CA. (PPT)
Chao, J., Feldon, D. F., & Cohoon, J. P. (2013, April). Phenomenological primitives in introductory computer science students’ understanding of recursion. Paper presented at the annual meeting of the American Education Research Association, San Francisco, CA. (PPT)
Feldon, D. F. & Chao, J. (2013, August). Analysis of experts' omissions during instruction: impacts on student learning and motivation. Paper presented at the 15th bienniel EARLI conference for Research on Learning and Instruction, Munich, Germany.
Feldon, D. F., Chao, J., & Muniraj, D. (2013, April). The effects of cognitive task analysis-based instruction on students’ motivation in undergraduate biology course. Paper presented at the annual meeting of the American Education Research Association, San Francisco, CA.
Maher, M. A., Feldon, D. F., Timmerman, B. C., & Chao, J. (2013, April). Learning to write for publication: Exposing common challenges encountered by novice doctoral writers. Paper presented at the annual meeting of the American Education Research Association, San Francisco, CA.
Chao, J., & Hurst, M. (2012, April). How attributes of researcher identity function and develop in STEM graduate student development. Paper presented at the annual meeting of the American Educational Research Association, Vancouver, British Columbia, Canada.
Chao, J., & Feldon, D. F. (2012, March). Explaining students’ inconsistent performance on recursive programming. Poster presented at the University of Virginia Presidential Research Poster Competition (finalist), Charlottesville, VA.
Feldon, D. F., Chao, J., Stowe, K. A., & Showman, R. (2011, March). The effects of cognitive task analysis-based instruction on students’ retention and achievement in undergraduate biology course. Poster finalist presented at the University of Virginia Presidential Inauguration Research/Scholarship Poster Competition, Charlottesville, VA.
Feldon, D. F., & Chao, J. (2012, February). The effects of Cognitive Task Analysis-based instruction on students’ achievement and retention in undergraduate biology course. Paper presented at the 4th annual Conference on Higher Education Pedagogy, Blacksburg, VA.
Chao, J. (2011, January). Intuit the counter-intuitive: Phenomenological primitives in understanding of recursion & Intuition-and-Analogy-based instructional cure. Paper presented at the 2nd annual Curry Research Conference, Charlottesville, VA.
Chao, J., & Cohoon, J. M. (2010). Can I really complete this CSE doctoral degree? Women’s confidence and self-rated abilities. In 2010 IEEE Frontiers in Education Conference (FIE) (p. F2H–1–F2H–7). http://doi.org/10.1109/FIE.2010.5673647
Searson, M., Bull, G., Chao, J., & Ma, J. (2008). China: Education 2.0 Tour - Applications and Effects of Virtual Tour to International Communication in Educational Technology. In K. McFerrin et al. (Eds.), Proceedings of Society for Information Technology and Teacher Education International Conference 2008 (pp. 2393-2394). Chesapeake, VA: AACE.
Chao, J. & Galluzzo, B. (2022). Math Modeling with M2Studio. @Concord Fall 2022 Newsletter.
Slotta, J. D., Chao, J., & Tissenbaum, M. (2020). Fostering Computational Thinking and Design Thinking in the International Baccalaureate Primary Years Programme, Middle Years Programme, and Diploma Programme.
Chao, J. (2019). Integrating computational thinking in STEM. @Concord. (Link)
Chao, J. (2018). Monday’s lesson: Finding median in R the common core way. @Concord, 22(1), 7. (Link)
Chao, J. (2018), Everyday inquiry with R: Is Yogurt-X expensive? Concord Consortium Blog. (Link)
