Gloria Ashiya Katuka

Ph.D. Student, Computer Science, University of Florida
gkatuka@ufl.edu

Gloria Ashiya Katuka is a Ph.D. student advised by Dr. Kristy Boyer in the Department of Computer & Information Science & Engineering at the University of Florida. Her research interests include collaborative dialogue, natural language processing, machine learning, game-based learning, pair programming, mobile computer-supported collaborative learning, and CS/AI education. Currently, she is a part of the IntegrateAI project, providing AI learning opportunities for middle school students through introducing and applying natural language processing techniques, concepts and practices in middle school science classrooms.

education

Ph.D., Computer Science (Expected 2024)
   University of Florida

M.S., Information Systems (2020)
   University of Florida

B.S., Information Systems and Operations Management (2019)
   University of Florida

publications

journal articles
2023
[3]Automatically Predicting Peer Satisfaction During Collaborative Learning with Linguistic, Acoustic, and Visual Features. Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer. Journal of Educational Data Mining, vol. To Appear, 2023. [bib]
2022
[2]The Relationship between Co-Creative Dialogue and High School Learners' Satisfaction with their Collaborator in Computational Music Remixing. Gloria Ashiya Katuka, Alexander Webber, Joseph B. Wiggins, Kristy Elizabeth Boyer, Brian Magerko, Tom McKlin, Jason Freeman. Proceedings of the ACM on Human-Computer Interaction (HCI), vol. 6 no. CSCW1, 2022, pp. 1-24. [bib]
[1]Investigating the Relationship Between Dialogue States and Partner Satisfaction During Co-Creative Learning Tasks. Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko, Tom McKlin. International Journal of Artificial Intelligence in Education, 2022. [bib] [doi]
conference papers
2023
[7]AI Made By Youth: A Conversational AI Curriculum for Middle School Summer Camps. Yukyeong Song, Gloria Ashiya Katuka, Joanne Barrett, Xiaoyi Tian, Amit Kumar, Tom McKlin, Mehmet Celepkolu, Kristy Elizabeth Boyer, Maya Israel. Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Innovative Applications of Artificial Intelligence Conference and Thirteenth AAAI Symposium on Educational Advances in Artificial Intelligence, 2023, pp. To appear. [bib]
[6]A Summer Camp Experience to Engage Middle School Learners in AI through Conversational App Development. Gloria Ashiya Katuka, Yvonika Auguste, Yukyeong Song, Xiaoyi Tian, Amit Kumar, Mehmet Celepkolu, Kristy Elizabeth Boyer, Joanne Barrett, Maya Israel, Tom McKlin. Proceedings of the 54th ACM Technical Symposium on Computer Science Education, 2023, pp. To appear. [bib]
2022
[5]Investigating Multimodal Predictors of Peer Satisfaction for Collaborative Coding in Middle School. Yingbo Ma, Gloria Ashiya Katuka, Mehmet Celepkolu, Kristy Elizabeth Boyer. Proceedings of the 15th International Conference on Educational Data Mining (EDM22), 2022, pp. 133-144. [bib]
2021
[4]Supporting Computational Music Remixing with a Co-Creative Learning Companion. Erin Truesdell, Jason Smith, Sarah Mathew, Tom McKlin, Gloria Ashiya Katuka, Amanda E. Griffith, Brian Magerko, Jason Freeman, Kristy Elizabeth Boyer. Proceedings of the 12th International Conference on Computational Creativity, 2021, pp. 113-121. [bib]
[3]My Partner was a Good Partner: Investigating the Relationship between Dialogue Acts and Satisfaction among Middle School Computer Science Learners. Gloria Ashiya Katuka, Richard T. Bex, Mehmet Celepkolu, Kristy Elizabeth Boyer, Eric Wiebe, Bradford Mott, James Lester. Proceedings of the 14th International Conference on Computer Supported Collaborative Learning (CSCL), 2021, pp. 51-58. [bib]
[2]Discovering Co-creative Dialogue States during Collaborative Learning. Amanda E. Griffith, Gloria Ashiya Katuka, Joseph B. Wiggins, Kristy Elizabeth Boyer, Jason Freeman, Brian Magerko, Tom McKlin. Proceedings of the International Conference on Artificial Intelligence in Education, 2021, pp. 165-177. [bib]
[1]Using Dialogue Analysis to Predict Women’s Stress During Remote Collaborative Learning in Computer Science. Kimberly Michelle Ying, Gloria Ashiya Katuka, Kristy Elizabeth Boyer. Proceedings of the 26th International Conference on Innovation and Technology in Computer Science Education (ITiCSE), 2021, pp. 60-66. [bib]