Engaging high school students in computer science with co-creative learning companions (Funding: National Science Foundation, DRL-1813740)
The Cai project leverages state-of-the-art research in co-creative artificial intelligence (AI) and intelligent pedagogical support, along with well-informed studies of human collaboration and the widely-adopted EarSketch CS learning platform. We will build the first-of-its-kind co-creative learning companion, powered by artificial intelligence. EarSketch's co-creative learning companion will not act as an authority figure, but rather as a peer. Cai will collaborate with learners to make music and code as a partner, sometimes leading by example to introduce important computer science constructs, while often supporting or deferring to the student's creative choices. We will iteratively refine Cai to be particularly effective within the context of high school computer science classrooms, in close partnership with teachers and diverse students through participatory design. We will engage a broad audience of high school learners by building on the success of EarSketch for empowering underrepresented populations in computing and creating on-demand, personalized support that scaffolds the learning process.
|||Exploring Usability Issues in Instruction-Based and Schema-Based Authoring of Task-Oriented Dialogue Agents. Amogh Mannekote, Mehmet Celepkolu, Joseph B. Wiggins, Kristy Elizabeth Boyer. Proceedings of the 5th International Conference on Conversational User Interfaces, 2023, pp. 1-6. [bib] [doi]|
|||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] [doi]|
|||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]|
|||Modeling Music and Code Knowledge to Support a Co-creative AI Agent in Education. Jason Smith, Erin Truesdell, Jason Freeman, Brian Magerko, Kristy Elizabeth Boyer, Tom McKlin. In Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), 2021, pp. 131-141. [bib]|
|||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]|
|||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] [doi]|