We concluded our 2nd Annual MOASEI Competition at AAMAS’2026, Cyprus. Our report can be found here. https://arxiv.org/abs/2607.03399
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Congratulations to Ceferino Patino IV. Ceferino graduated in Spring 2026 with a BS in Computer Science with Honors and submitted his Thesis: Open Multi-Agent Systems: The Free-Range-Zoo Framework and MOASEI Competition. Congratulations to Marcus Gubanyi. Our RICE Lab published and presented a paper at ICER’2025: Gubanyi, M. and L.-K. Soh (2025). Evaluating Programming Assignments and Compile-and-Run Prompts in CS1 by Observing Student Programming Behaviors, Proceedings of the 21st ACM Conerence on International Computing Education Research (ICER’2025), August 3-6, 2025, Charlottesville, VA, USA, pp. 210-226. Congratulations to Sheila Foley! Our RICE Lab published a conference paper at SIGCSE’2026, stemming from our work in the AIR@NE project and the CS FUTURES project, with our collaborators: Foley, S., L.-K. Soh, C. Lamb, and W. M. Smith (to appear) The Impact of Misalignment between Student and Teacher Evaluation of Student Skills on Middle School Student Motivation in Computer Science, accepted to ACM SIGCSE Technical Sympoisum (SIGCSE TS 2026), St. Louis, MO, USA. Congratulations to Marcus Gubanyi on the successful defense of his Doctoral dissertation in November 2026: Investigating Programming Behaviors to Understand Student Engagement and Experience in Introductory Programming Courses As part of our IAMAS lab, we published a journal paper stemming from our SURGE project: Joshi, D., R. Werum, D. Hazelwood, Shawn Ratcliff, A. Samal, and L.-K. Soh (2025). Deduplication of the Media-Based Event Databases, Journal of Computational Social Science, 8, 76, https://doi.org/10.1007/s42001-025-00409-4 Our IAMAS Lab and Aida Lab published a paper on integrating textual-based and visual-based features to detect poems in historical newspaper document images: Liu, Y, L.-K. Soh, and E. Lorang (2025). Integrating Textual-Based and Visual-Based Features in Poem Detection for Digitized Historical Newspaper Document Images, Journal on Computing and Cultural Heritage, 18(3):1-28, Article No.: 50, https://doi.org/10.1145/3746404 We published a journal paper on how Arts & Sciences faculty identify learning objectives and practices in their courses: Williamson, M., L.-K. Soh, D. Minter, and W. Babchuk (2025). Assessing Arts and Sciences Faculty Learning Objectives and Practices: Using Bloom’s Taxonomy to Describe a Unique College Identity, Journal of Assessment and Institutional Effectiveness, 15(1-2): 126-154. https://doi.org/10.5325/jasseinsteffe.15.1-2.0126 Our IAMAS Lab and Aida Lab published a journal paper on using image processing techniques to generate pseudo-groundtruth to improve machine learning for classifying document images: Liu, Y. and L.-K. Soh (2025). Integrating Textual and Visual Features to Generate Pseudo-Groundtruth for Enhancing Training of Machine Learning Models in Document Image Classification, Journal of Electronic Imaging, 34(3), 033209, 23 May 2025, https://doi.org/10.1117/1.JEI.34.3.033029. Our Aida Lab published a journal paper on applying AI and machine learning for language catalog descriptions: Liu, Y., C. Heitman, L.-K. Soh, and P. Whiteley (2025). Machine Learning Methods for Isolating Indigenous Language Catalog Descriptions, AI & Society, 40(6):4461-4471, DOI: 10.1007/s00146-025-02223-y |
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