Publications

2021

Abhinav Mohanty, Pooja Murarisetty, Ngoc Diep Nguyen, Julio César Bahamon, Harini Ramaprasad, and Meera Sridhar. 2021. Criminal Investigations: An Interactive Experience to Improve Student Engagement and Achievement in Cybersecurity courses. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1276. DOI:https://doi.org/10.1145/3408877.3439630

Alec Goncharow, Matthew Mcquaigue, Erik Saule, Kalpathi Subramanian, Jamie Payton, and Paula Goolkasian. 2021. Mapping Materials to Curriculum Standards for Design, Alignment, Audit, and Search. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 295–301. DOI:https://doi.org/10.1145/3408877.3432388

Nadia Najjar, Mary Lou Maher, and Maryam Mohseni. 2021. A 50-year Retrospective on Academic Integrity and Computer Ethics in CS Education. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1283. DOI:https://doi.org/10.1145/3408877.3439651

Sakshi Singh and Debarati Basu. 2021. Impact on Women Undergraduate CS Students' Experiences from a Mentoring Program. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1266. DOI:https://doi.org/10.1145/3408877.3439643

Kathryn Perry, Kalpathi Subramanian, and Erik Saule. 2021. Some Bridges Span More than Water: Engaging High School Java Learners with Data Structure Visualizations and Real-World Data. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1371. DOI:https://doi.org/10.1145/3408877.3439558

Audrey Rorrer, David Pugalee, Callie Edwards, Danielle Boulden, Mary Lou Maher, Lijuan Cao, Mohsen Dorodchi, Veronica Catete, David Frye, Tiffany Barnes, and Eric Wiebe. 2021. The Design and Implementation of a Method for Evaluating and Building Research Practice Partnerships. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 753–759. DOI:https://doi.org/10.1145/3408877.3432532

Erik Saule, Alec Goncharow, and Jamie Payton. 2021. Using CS Materials, A System to Align your Courses with National Standards. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1353. DOI:https://doi.org/10.1145/3408877.3432491

Debarati Basu, Sarah Heckman, and Mary Lou Maher. 2021. Online Vs Face-to-face Web-development Course: Course Strategies, Learning, and Engagement. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1191–1197. DOI:https://doi.org/10.1145/3408877.3432438

Syeda Fatema Mazumder and Manuel A. Pérez-Quiñones. 2021. Eliciting A Novice Programmer's Mental Model of Arrays. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1302. DOI:https://doi.org/10.1145/3408877.3439647

Kristin Stephens-Martinez, Manuel A. Pérez-Quiñones, Nicki Washington, and Leigh Ann DeLyser. 2021. Where Should We Go From Here? Eliminating Inequities In CS Education, Featuring Guests From The CS-Ed Podcast. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 315–316. DOI:https://doi.org/10.1145/3408877.3432566

Kalpathi Subramanian, Jamie Payton, and Matthew Mcquaigue. 2021. Real-World Data, Interactive Games and Data Structure Visualizations in Early CS Courses Using BRIDGES. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (SIGCSE '21). Association for Computing Machinery, New York, NY, USA, 1351. DOI:https://doi.org/10.1145/3408877.3432489

Dehbozorgi, N., Maher, M.L., and Dorodchi, M. (2021). Emotion Mining from Speech in Collaborative Learning, Advances in Science, Technology and Engineering Systems Journal (ASTESJ) , Vol 6, No. 2.

Dehbozorgi, N., Maher, M.L., and Dorodchi, M. (2021). Does Self-Efficacy Correlate with Positive Emotion and Academic Performance in Collaborative Learning? In Proceedings of 2021 Frontiers in Education.


Basu, D. Heckman, S. and Maher, M.L. (2021). Online Vs Face-to-face Web-development Course: Course Strategies, Learning, and Engagement, SIGCSE: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education.


Learning Sparse Evidence-Driven Interpretation to Understand Deep Reinforcement Learning Agents.
Giang Dao, Wesley Huff, and Minwoo Lee. IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2021


2020

Erik Saule, Kalpathi Subramanian, and Jamie Payton. 2020. Using CS materials, a system to align your courses with national standards. J. Comput. Sci. Coll. 36, 4 (October 2020), 104.

Debarati Basu and Niveditha Gopalkrishna. 2020. Evaluation of Course Strategies: Face-to-Face vs. Online. In Proceedings of the 2020 ACM Conference on International Computing Education Research (ICER '20). Association for Computing Machinery, New York, NY, USA, 313. DOI:https://doi.org/10.1145/3372782.3408121

Syeda Fatema Mazumder, Celine Latulipe, and Manuel A. Pérez-Quiñones. 2020. Are Variable, Array and Object Diagrams in Java Textbooks Explanative? In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '20). Association for Computing Machinery, New York, NY, USA, 425–431. DOI:https://doi.org/10.1145/3341525.3387368

Maher, M.L., Dehbozorgi, N., Dorodchi, M. and MacNeil, S. (2020). Strategies to incorporate active learning practice in introductory courses, in Faculty Experiences in Active Learning: A Collection of Strategies for Implementing Active Learning Across Disciplines. UNC Press

Syeda Fatema Mazumder, Celine Latulipe, and Manuel A. Pérez-Quiñones. 2020. Diagramming Encouragement in CS1 Textbooks. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '20). Association for Computing Machinery, New York, NY, USA, 554. DOI:https://doi.org/10.1145/3341525.3393976

Dorodchi, M., Mahzoon, M.J., Maher, M.L., and Benedict, A. (2020). A learning analytics approach to assessing student risk in active learning, in Faculty Experiences in Active Learning: A Collection of Strategies for Implementing Active Learning Across Disciplines. UNC Press.

Manuel A. Pérez-Quiñones. 2020. How Can Computer Science Education Address Inequities. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '20). Association for Computing Machinery, New York, NY, USA, 3581. DOI:https://doi.org/10.1145/3394486.3411063

Dehbozorgi N., Maher M.L., & Dorodchi M., (2020). “Sentiment Analysis on Verbal Collaborative Conversations in Active Learning as Early Predictor of Performance”, 2020 IEEE Frontiers in Education Conference (FIE), IEEE.

Janet Hughes, Ethan Plaut, Feng Wang, Elizabeth von Briesen, Cheryl Brown, Gerry Cross, Viraj Kumar, and Paul Myers. 2020. Global and Local Agendas of Computing Ethics Education. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '20). Association for Computing Machinery, New York, NY, USA, 239–245. DOI:https://doi.org/10.1145/3341525.3387423

Cukic, B., Hague, D., Maher, M.L. (2020). An Innovative Interdisciplinary Undergraduate Data Science Program: Pathways and Experience, Proceedings of 2020 IEEE Frontiers in Education Conference (FIE).

Al-Doulat, A., Nur, N., Karduni, A,, Benedict, A., Al-Hossami, E., Maher, M.L., Dou, W., Dorodchi, M. and Niu, X. (2020). Making Sense of Student Success and Risk through Unsupervised Machine Learning and Interactive Storytelling, In the Proceedings of AI in Education 2020.

Cao, L., Rorrer, A., Pugalee, D., Maher, ML., Dorodchi, M., Frye, D., Barnes, T., Wiebe, E. (2020). Work in Progress Report: A STEM EcoSystem Approach to CS/CT for All in a Middle School, Proceedings of the 51st ACM Technical Symposium on Computer Science Education.

Kalpathi Subramanian, Kiran Budhrani, “Influence of Course Design on Student Engagement and Motivation in an Online Course", Proceedings of the 51st ACM Technical Symposium on Computer Science Education (ACM SIGCSE 2020), Portland, OR, 2020, 303–308.

Matthew Mcquaigue, David Burlinson, Kalpathi Subramanian, Erik Saule, Jamie Payton, “Visualization, Assessment and Analytics in Data Structures Learning Modules", Proceedings of the 49th ACM Technical Symposium on Computing Science Education (SIGCSE 2018), Feb 21-24, Baltimore, MD.

2019

Karimi., P., Maher, M.L., Davis, N. and Grace. K., (2019). Deep Learning in a Computational Model for Conceptual Shifts in a Co-Creative Design System, Proceedings of 2019 International Conference on Computational Creativity.

Tokmic, F., Mazumder, S., Rorrer, A., Frevert, T., Maher, M.L., and Latulipe, C. (2019). Salient Measurements of an InclusiveComputing Education Community, Proceedings of International Conference on Frontiers in Education (FIE 2019).

Mohseni, M., Maher, M.L., Grace, K., Najjar, N., Abbas, F., and Eltayeby, O. (2019). Pique: Recommending a Personalized Sequence of Research Papers to Engage Student Curiosity, Poster in Proceedings of AI in Education (AIED 2019).

Nasheen Nur, Noseong Park, Mohsen Dorodchi, Wenwen Dou, Mohammad Javad Mahzoon, Xi Niu, Mary Lou MaherStudent Network Analysis: A Novel Way to Predict Delayed Graduation in Higher Education.International Conference on Artificial Intelligence in Education, 370-382. 2019.

Venkata Sai Santosh Ravi Teja Kancharla and Minwoo Lee Proceedings of 2019 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning Efficient Practice for Deep Reinforcement Learning (ADPRL). Dec 2019

Giang Dao and Minwoo Lee Proceedings of 2019 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). Dec 2019


2018

Celine Latulipe, Audrey Rorrer & Bruce Long (2018). Flipped Class Effects on Retention after CS1. Proceedings of ACM SIGCSE 2018.

Frevert, T.K. (2018). Revealing what is hidden via intersectional diversity metrics. 81st Annual Meeting of the Southern Sociological Society.

Maher, M.L., Cukic, B., Mays, L., Latulipe, C., Rogelberg, S., Rorrer, A., Frevert, T.K., & Davis, D. (2018). Organizational change for broadening participation in CS education. Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT) .

Rorrer, A., Allen, J., Zuo, H. (2018). A national study of undergraduate research experiences in computing: Implications for culturally relevant pedagogy. Association for Computing Machinery Special Interest Group on Computer Science Education (SIGSCE) 2018 Conference Proceedings, Baltimore, Maryland.

Mohammad Javad Mahzoon, Mary Lou Maher, Omar Eltayeby, Wenwen Dou, & Kazjon Grace. Journal of Learning Analytics, 5(1), 55–74, 2018. A Sequence Data Model for Analyzing Temporal Patterns of Student Data.

S. Watson, J. Bahamón, H. Ramaprasad, H. Lipford. Developing Soft Skills with a Classroom Behavior Management Game. Presented at the ACM Technical Symposium on Computer Science Education (SIGCSE), February 2018.

Mahzoon, M.J., Maher, M.L., Etayeby, O., Dou, W., and Grace, K. (2018). A Sequence Data Model for Analyzing Temporal Patterns of Student Data, Journal of Learning Analytics, 5(10):55-74. tinyurl.com/y8l7fr2j

Celine Latulipe, Stephen MacNeil, Brian Thompson. Evolving a Data Structures Class Toward Inclusive Success. To appear in FIE 2018.


Dehbozorgi, N., MacNeil, S., Maher, M.L. and Dorodchi, M. (2018). A Comparison of Lecture-based and Active Learning

DesignPatterns in CS Education, International Conference on Frontiers in Education.


Frevert, T.K., Rorrer, A., Davis, D.J., Latulipe, C., Maher, M.L., Cukic, B., Mays, L., and Rogelberg, S. (2018). Sustainable

Educational Innovation Through Engaged Pedagogy and Organizational Change, International Conference on Frontiers in

Education.

Mahzoon, M.J., Maher, M.L., Etayeby, O., Dou, W., and Grace, K. (2018). A Framework for Interactive Exploratory Learning Analytics, HCI International.

Abeer AlJarrah, Michael Thomas, Mohamed Shehab, “Investigating temporal access in a flipped classroom: procrastination persists”, in International Journal of Educational Technology in Higher Education. Volume 15, Issue 1, 2018. 
[doi]

2017

Dorodchi, M., Dehbozorgi, N., & Frevert, T. K. (2017). ” I wish I could rank my exam’s challenge level!”: An algorithm of Bloom’s taxonomy in teaching CS1. Frontiers in Education Conference (FIE).

Rorrer, A., & Swan, B. (2017). Developing Inclusive Lab Climates for Undergraduate Research Programs: A National Study of Computing Faculty. ICERi 2017 Proceedings: The 10th Annual International Conference on Education, Research and Innovation, p7930-7936. DOI:10.21125/iceri.2017.2118.

2016

Maher, ML, Cukic, B., Mays, L., Rogelberg, S., Latulipe, C., Payton, J., Rorrer, A., Frevert, T. (2016) The Connected Learner: Engaging Faculty to Connect Computing Students to Peers, Profession and Purpose, International Conference on Frontiers in Education, Erie PA. Oct 13-15, 2016.

Rorrer, A. (2016). An evaluation capacity building toolkit for principal investigators of undergraduate research experiences: A demonstration of transforming theory into practice. Evaluation and Program Planning, 55, p103-111. DOI:10.1016/j.evalprogplan.2015.12.006

Singh, V., Abdellahi, S., Maher, M.L., Latulipe, C., (2016). The Video Collaboratory as a Learning Environment, Proceedings of the 47th ACM Technical Symposium on Computer Science Education.

Maher, ML, Cukic, B., Mays, L., Rogelberg, S., Latulipe, C., Payton, J., Rorrer, A., Frevert, T. (2016) The Connected Learner: Engaging Faculty to Connect Computing Students to Peers, Profession and Purpose, International Conference on Frontiers in Education, Erie PA. Oct 13-15, 2016.

2015

Maher, M.L., Latulipe, C., Lipford, H. and Rorrer, A. (2015). Flipped Classroom Strategies for CS Education, Proceedings of the 46th ACM Technical Symposium on Computer Science Education. pp. 218-223. Doi:10.1145/2676723.2677252


Workshops (peer reviewed)

Celine Latulipe, Stephen MacNeil, Brian Thompson. Evolving a Data Structures Class Toward Inclusive Success. To appear in FIE 2018.

Rorrer, A., Richardson, B. (2018). Enhancing Student Outcomes Measures through Culturally Relevant Assessment Practices. Association for the Assessment of Learning in Higher Education Annual Meeting, Salt Lake City, UT, June 4-7, 2018.

Rorrer, A., Seibert, C., Kemis, M., Bruckerhoff, T. (2018). Assessment & Evaluation Birds of a Feather: Needs, Wants and Opportunities. NSF Revolutionizing Engineering & Computer Science Departments Annual PI Meeting, Alexandria, VA, July 10-12, 2018.

Tonya Frevert, Audrey Rorrer, Daniel Davis, Celine Latulipe, Mary Lou Maher, Bojan Cukic, Larry Mays and Steven Rogelberg. Sustainable Educational Innovation Through Engaged Pedagogy and Organizational Change. To appear in FIE 2018