A main challenge in teaching Data Science is designing data exploration activities that help students achieve important learning goals. To achieve this, students need access to diverse datasets that reflect varied analytical needs. However, developing such assignments is time-consuming, and reusing past materials often leads to disengagement and academic dishonesty.
We propose solutions to enhance student engagement and learning outcomes by providing customizable data repositories aligned with course objectives. Instructors can tailor datasets and assignments to their course, student population, or institution, creating more relevant and engaging learning experiences.
Project Members
- Amelie Marian
- Daniel Ojeda
SQLAssign at Rutgers