| Title | ChatUBC: Conversational AI for Personalized and Targeted Learning |
|---|---|
| Faculty/College/Unit | Applied Science |
| Status | Active |
| Duration | 2 Year |
| Initiation | 04/01/2025 |
| Project Summary | Fostering global citizenship and developing our students’ ability to create a just world is core to UBC’s purpose as an institution. Our proposed project will create two Generative AI tools that develop students’ ethical decision-making through dialogue and reflection to better enable them to make and support just decisions. We will create a campus-wide platform enabling instructors to access AI-based tools that adapt to individual students’ needs, guide student reflection, and augment instructors’ ability to engage large classes. Students will have customized learning experiences that consider their starting level of ethical knowledge and their history of system interactions. The scope of our proposal includes developing two adaptive Generative AI tools. One tool will engage students with diverse communities through individualized, targeted interactive case studies, and another will support students’ exploration of ethical frameworks for decision-making. We will share these tools on a Canvas-integrated AI platform accessible to APSC instructors. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2025/2026 |
| Year 1: Project Type | Large TLEF |
| Year 1: Principal Investigator | Christoph Sielmann & Paul Lusina |
| Year 1: Funded Amount | 74,030 |
| Year 1: Team Members | Co-Leads: Christoph Sielmann, Assistant Professor of Teaching, Mechanical Engineering, Faculty of Applied Science Collaborators: Agnes d’Entremont, Professor of Teaching, Mechanical Engineering / Associate Dean pro tem, Equity, Diversity, and Inclusion, Faculty of Applied of Science |