Personalized and Timely Feedback in Online Education: Enhancing Learning with Deep Learning and Large Language Models
This study investigates an Adaptive Feedback System (AFS) that integrates deep learning (a recurrent neural network trained with historical student data) and GPT-4 to provide personalized feedback in a Digital Art course. In a quasi-experimental design, the intervention group (<i>n</i> =...
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| Main Authors: | Óscar Cuéllar, Manuel Contero, Mauricio Hincapié |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
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| Series: | Multimodal Technologies and Interaction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2414-4088/9/5/45 |
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