I am a Ph.D. student in the Department of Computer Science at North Carolina State University. I received my Bachelor’s degree in Computer Science and Engineering from Heritage Institute of Technology, Kolkata (India).
I am interested in the application of machine learning techniques to support adaptive learning environments. My research focuses on goal recognition and stealth assessment for student interactions with game-based learning environments. In my spare time, I enjoy singing and reading.
Education
Ph.D., Computer science (currently enrolled)
North Carolina State University, Raleigh, NC
B.Tech., Computer Science and Engineering (2019)
Heritage Institute of Technology, Kolkata (India)
Publications
Anisha Gupta, Seung Lee, Bradford Mott, Srijita Chakraburty, Krista Glazewski, Anne Ottenbreit-Leftwich, Adam Scribner, Cindy Hmelo-Silver, and James Lester. Supporting Upper Elementary Students in Learning AI Concepts with Story-Driven Game-Based Learning. Proceedings of the Fourteenth Symposium on Educational Advances in Artificial Intelligence, pp. 23092-23100, Vancouver, Canada, 2024.
Alex Goslen, Anisha Gupta, Smrithi Muthukrishnan, Raven Midgett, Wookhee Min, Jessica Vandenberg, Veronica Cateté, and Bradford Mott. Engaging Students from Rural Communities in AI Education with Game-Based Learning. To appear in Proceedings of the Fifty-Fifth Technical Symposium on Computer Science Education, Portland, Oregon (2024).
Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Detecting and Mitigating Encoded Bias in Deep Learning-Based Stealth Assessment Models for Reflection-Enriched Game-Based Learning Environments. International Journal of Artificial Intelligence in Education, advance online publication, 2023.
Anisha Gupta, Andy Smith, Jessica Vandenberg, Rasha Elsayed, Kimkinyona Fox, James Minogue, Aleata Hubbard Cheuoua, Kevin Oliver, Cathy Ringstaff, and Bradford Mott. Fostering Interdisciplinary Learning for Elementary Students Through Developing Interactive Digital Stories. Proceedings of the Sixteenth International Conference on Interactive Digital Storytelling, Part II, pp. 50-67, Kobe, Japan, 2023.
Anisha Gupta, Dan Carpenter, Wookhee Min, Bradford Mott, Krista Glazewski, Cindy Hmelo-Silver, and James Lester. Enhancing Stealth Assessment in Collaborative Game-based Learning with Multi-Task Learning. Proceedings of the Twenty-Fourth International Conference on Artificial Intelligence in Education, pp. 304-315, Tokyo, Japan, 2023.
Robert Monahan, Jessica Vandenberg, Anisha Gupta, Andy Smith, Rasha Elsayed, Kimkinyona Fox, Aleata Hubbard Cheuoua, James Minogue, Kevin Oliver, Cathy Ringstaff, and Bradford Mott. Multimodal CS Education Using a Scaffolded CSCL Environment. Proceedings of the Twenty-Eighth Annual ACM Conference on Innovation and Technology in Computer Science Education, pp. 645-645, Turku, Finland, 2023.
Bradford Mott, Anisha Gupta, Krista Glazewski, Anne Ottenbreit-Leftwich, Cindy Hmelo-Silver, Adam Scribner, Seung Lee, and James Lester. Fostering Upper Elementary AI Education: Iteratively Refining a Use-Modify-Create Scaffolding Progression for AI Planning. Proceedings of the Twenty-Eighth Annual ACM Conference on Innovation and Technology in Computer Science Education, pp. 1261-1261, Turku, Finland, 2023.
Jessica Vandenberg, Wookhee Min, Anisha Gupta, Veronica Cateté, Danielle Boulden, and Bradford Mott. Toward AI-infused Game Design Activities for Rural Middle Grades Students. Proceedings of the Twenty-Eighth Annual ACM Conference on Innovation and Technology in Computer Science Education, pp. 644-644, Turku, Finland, 2023.
Kyungjin Park, Bradford Mott, Seung Lee, Anisha Gupta, Kathleen Jantaraweragul, Krista Glazewski, Adam Scribner, Anne Ottenbreit-Leftwich, Cindy Hmelo-Silver, and James Lester. Investigating a Visual Interface for Elementary Students to Formulate AI Planning Tasks. Journal of Computer Languages, 73, 2022.
Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Enhancing Multimodal Goal Recognition in Open-World Games with Natural Language Player Reflections. Proceedings of the Eighteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 37-44, Pomona, California, 2022.
Jessica Vandenberg, Anisha Gupta, Andy Smith, Rasha Elsayed, Kimkinyona Fox, Aleata Hubbard Cheuoua, James Minogue, Kevin Oliver, Cathy Ringstaff, and Bradford Mott. Supporting Upper Elementary Students in Multidisciplinary Block-Based Narrative Programming. Proceedings of the Fifty-Third ACM Technical Symposium on Computer Science Education, pp. 1401-1401, Toronto, Canada, 2022.
Anisha Gupta, Wookhee Min, Jessica Vandenberg, Veronica Catete, and Bradford Mott. AI-Centered Game Design Activities to Foster Middle Grades AI Education for Rural Students. In Proceedings of the Workshop on AI Education in K-12 at the 24th International Conference on Artificial Intelligence in Education.
Anisha Gupta, Dan Carpenter, Wookhee Min, Jonathan Rowe, Roger Azevedo, and James Lester. Multimodal Multi-Task Stealth Assessment for Reflection-Enriched Game-Based Learning. In Proceedings of the First International Workshop on Multimodal Artificial Intelligence in Education (MAIED 2021) at the 22nd International Conference on Artificial Intelligence in Education (AIED 2021).
Anisha Gupta, Ritesh Sarkhel, Nibaran Das, and Mahantapas Kundu. Multiobjective optimization for recognition of isolated handwritten Indic scripts. In Pattern Recognition Letters 128 (2019): 318-325.