Abstract
Student engagement in learning is crucial for academic performance, motivation, and active participation. However, measuring and responding to student engagement, both in face-to-face and online sessions, remains a challenge for educators. Existing methods, such as self-reports, interviews, and even real time eye-tracking tools lack a multidimensional engagement approach (that is cognitive, affective, and behavioral). In response, this article presents the development and evaluation of MoTE, a real-time tool for monitoring student engagement. Following a Design-Based Research methodology and Interactive Learning Design framework, we detail the phases of identifying indicators and visualizations to meet the needs of teachers and students, culminating in the implementation and evaluation of an initial prototype. A local evaluation with 146 students and a broad evaluation with 58 students provide valuable insights into the indicators, dashboards, and functionalities to designing effective student engagement tracking tool. This work not only proposes an innovative approach to assessing engagement, but also opens avenues for future research and practical applications in education.
| Translated title of the contribution | MoTE: Desarrollo de una herramienta informática para el monitoreo del compromiso estudiantil |
|---|---|
| Original language | English |
| Title of host publication | Institute for the Future of Education Conference, IFE 2025 |
| Place of Publication | Monterrey, México |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1-9 |
| Number of pages | 9 |
| ISBN (Electronic) | 979-8-3503-5523-9 |
| ISBN (Print) | 979-8-3503-5524-6 |
| DOIs | |
| State | Published - 13 Jun 2025 |
| Event | 2025 Institute for the Future of Education Conference, IFE 2025 - Monterrey, Mexico Duration: 28 Jan 2025 → 30 Jan 2025 |
Conference
| Conference | 2025 Institute for the Future of Education Conference, IFE 2025 |
|---|---|
| Country/Territory | Mexico |
| City | Monterrey |
| Period | 28/01/25 → 30/01/25 |
Keywords
- Class Interaction
- Engagement
- Feedback
- Learning Analytics
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