| Title | Unpacking the Black Box: Critical AI Literacies for Arts Education |
|---|---|
| Faculty/College/Unit | Arts |
| Status | Active |
| Duration | 2 Year |
| Initiation | 04/01/2025 |
| Project Summary | This project will develop and pilot a set of discipline-specific educational modules to demystify AI for undergraduate students in the Faculty of Arts. Our emphasis is on what skills we’re teaching our students, not tools to change the way students learn. These modules will show students that AI tools can be used to better understand their discipline, and why a critical understanding of these tools is necessary to use them well. It will also help faculty learn how to implement these tools in the classroom and explore what infrastructure is necessary to use them at-scale. Students will undertake small, discipline-specific projects that use AI tool to address pertinent questions or challenges in their fields of study. Modules will also include detailed, non-technical explanations of how these tools are constructed, how they function, how they can be applied in academic research, and critical discussion of their development and use. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2025/2026 |
| Year 1: Project Type | Large TLEF |
| Year 1: Principal Investigator | Laura Nelson |
| Year 1: Funded Amount | 85,087 |
| Year 1: Team Members | Laura Nelson, Associate Professor / Director, Centre for Computational Social Science, Sociology, Faculty of Arts Co-Applicants: Jonathan Graves, Associate Professor of Teaching / Director, Undergraduate Studies (Curriculum and Students), Economics, Faculty of Arts Faculty Partners for Disciplinary Pilot Courses and Development Consultants: John Christopoulos, Associate Professor / Undergraduate Chair, History, Faculty of Arts |