| Title | Preparing for an Automated Future: Building Automation Resilience in Computer and Data Science Education |
|---|---|
| Faculty/College/Unit | Science |
| Status | Active |
| Duration | 3 Years |
| Initiation | 04/01/2024 |
| Project Summary | The "Automation Resilience" project will reshape the curriculum for Computer Science and Data Science courses at UBC, preparing students for a rapidly evolving AI-influenced workforce. Recognizing the profound impact of AI on these fields, this initiative will seamlessly integrate AI tools into learning processes while emphasizing foundational knowledge that remains crucial regardless of AI advancements. This dual approach ensures students are adept at using AI tools (AI-integrated learning) and also possess core knowledge that AI can't replace (AI-invariant learning). By revising and adapting course content, assessments, and providing AI literacy resources, we will help our students to become adaptive, knowledgeable, and ethically sound professionals. Moreover, we will address AI-enabled academic cheating, ensuring genuine student’s performance. These curricular and pedagogical enhancements will not only benefit the immediate UBC community but also set a precedent, at UBC and beyond, for broader educational transformations in the face of AI advancements. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2024/2025 |
| Year 1: Project Type | Large TLEF |
| Year 1: Principal Investigator | Dongwook Yoon |
| Year 1: Funded Amount | 63,250 |
| Year 1: Team Members | Dongwook Yoon, Associate Professor, Computer Science, Faculty of Science |