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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 […] 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.: […] 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): […] 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 […] 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 We published a new journal paper with collaborators at CB3 and George Mason, as part our work in intelligent data analysis: Solomon, T., L.-K. Soh, M. Dodd, and B. Esmaeili (2025). Variables Influencing Change Blindness in Construction Safety, Safety Science, 184, 106761, 16 pages. Our RICE lab published a new journal paper: Liu, Y., L.-K. Soh, G. Trainin, G. Nugent, and W. M. Smith (2025). Investigating Relationships of Sentiments, Emotions, and Performance in Professional Development K-12 CS Teachers, Computer Science Education, 35(1): pp. 28-59, DOI: 10.1080/08993408.2023.2298162. |
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