ReWisely: Generative AI-Based Revision Platform for Developing User-Personalized Study Materials
With the technological advances in education where access to knowledge is more vital than ever, educational revision website applications have risen to the forefront as essential tools. For education, consolidating and structuring knowledge has always been the essential bedrock for effective learning. However, the exhausting task of preparing revision content drives learners away, discouraging them from attempting to adopt this important step of the learning process. Accordingly, this paper aims to assist in modernizing the creation of revision material through AI integration into an accessible and inclusive platform. The focus of the paper is on developing a user-friendly, scalable web application capable of handling vast amounts of data while ensuring accurate and helpful assistance. The platform seeks to maximize the benefits derived from active learning techniques, including text summarization, flashcards, question extraction, the Feynman technique and mind-mapping functionalities that are AI-generated from uploaded personal notes of users. Therefore, providing personalized revision material according to the cognitive needs of learners. Additionally, this work supports educational institutes in their teaching methodologies and provides a professional environment to share and accept different revision materials.
Authors
- Moutaz Saleh (ORCID: https://orcid.org/0000-0002-6434-1790)
- Khadija Khedr
- Asma Bahabarah
- Amani Mamiche
- Taqwa Ellabad
Institutions
- Qatar University (QA)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/icca62237.2024.10927976
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00