Vollständiger Abstract
Worum geht es in dieser Arbeit?
In the context of Smart Education, real-time monitoring of learning is consolidating as a key tool for both teachers and students. This approach allows teachers to early detect both high-achieving students and those facing difficulties, favoring timely pedagogical interventions that address these situations. On the other hand, the possibility for learners to visualize their progress encourages autonomous learning, as having a clear representation of their progress helps them to set personal goals and take a more active role in their formation. This article discusses how AI-supported systems, such as the Khipulearn platform, address these needs through a dashboard designed to provide accurate, real-time information on academic performance, participation and skill development. Visual representations, such as intuitive graphs and charts, not only optimize teaching by facilitating agile analysis of group and individual progress, but also empower students, transforming the learning process into a more personalized and engaging experience.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Faraon Llorens-Largo, Alberto Real-Fernandez, Patricia Compañ-Rosique, Juan Luis López-Javaloyes, Rafael Molina-Carmona
- Quelle
- International Journal of Interactive Multimedia and Artificial Intelligence
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 1989-1660
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Zitierfähiger Nachweis
Faraon Llorens-Largo, Alberto Real-Fernandez, Patricia Compañ-Rosique, Juan Luis López-Javaloyes, Rafael Molina-Carmona (2026). Real-time monitoring of progress on a smart learning platform. International Journal of Interactive Multimedia and Artificial Intelligence. https://doi.org/10.9781/q4nd2q95
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Lizenzhinweise: Lizenz 1