| Title | An adaptive recommendation and personalized feedback system to support student engagement with study materials in mathematics courses |
|---|---|
| Faculty/College/Unit | Science |
| Status | Completed |
| Duration | 1 Year |
| Initiation | 04/01/2018 |
| Completion | 05/31/2020 |
| Project Summary | The Department of Mathematics at UBC currently serves over 20,000 undergraduate students annually. Providing a personalized learning experience for students at this scale is a challenge. We propose to extend existing UBC learning technologies, Alchemy and MindWare, to develop a personalized, adaptive learning technology for our undergraduate mathematics courses using existing course material developed by UBC mathematics instructors. The project (code-named Orchard) is an adaptive recommendation system which selects exercises and provides personalized feedback to encourage student study habits. The system recommends problems from a database of questions (authored by UBC instructors) based on: subject, standard or non-standard, conceptual or procedural, new or review. The web application includes a dashboard which records total study time, distribution of study time, and the balance of different types of problems. The goal is to expose students to a robust mix of problems and actively engage students in their learning processes. |
| Funding Details | |
| Year 1: Project Year | Year 1 |
| Year 1: Funding Year | 2018/2019 |
| Year 1: Project Type | Small TLEF |
| Year 1: Principal Investigator | Elyse Yeager |
| Year 1: Funded Amount | 42,507 |
| Year 1: Team Members | Elyse Yeager, Instructor, Mathematics, Faculty of Science |
| Year 1: TLEF Showcase |  |