Topic Level Visualization of Student Enrollment Records in a Computer Science Curriculum
-д хадгалсан:
| -д хэвлэсэн: | Education Sciences vol. 15, no. 5 (2025), p. 614 |
|---|---|
| Үндсэн зохиолч: | |
| Бусад зохиолчид: | |
| Хэвлэсэн: |
MDPI AG
|
| Нөхцлүүд: | |
| Онлайн хандалт: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
|
| Хураангуй: | Reviewing academic curricula requires a significant investment of time and expertise. Beyond accreditation, curriculum may be reviewed in part or in whole during other administrative efforts including the consideration of new elective courses, faculty-student advising, admission of transfer students, internal audits, and more. These activities often require multiple people with deep knowledge of the coursework as well as the discipline(s) involved to pour over scattered documentation and comparatively limited assessment data in order to make an informed decision. In this work, we explored the development of a semi-automated computational approach to visualize a curriculum as described in official course listings at a topic level of detail. We show how our approach can help provide a detailed view of how topics are covered across multiple courses and how these visualizations can show similarities and differences for individual student registration records, paving the way for personalized student support. We also identified opportunities for improvement in this method, including the need to develop more robust topic mapping techniques for short texts. |
|---|---|
| ISSN: | 2227-7102 2076-3344 |
| DOI: | 10.3390/educsci15050614 |
| Эх сурвалж: | Education Database |