A Smart Assistant Powered by Artificial Intelligence for Adaptive and Customized Learning in Higher Education
Fuente:
Zenodo
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Recurso digital |
| Sprache: | Englisch |
| Veröffentlicht: |
Zenodo
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866902246020612096 |
|---|---|
| author | Dr. Rajinder Kumar Charanjeet Kaur Dr. Vijay Laxmi |
| author_facet | Dr. Rajinder Kumar Charanjeet Kaur Dr. Vijay Laxmi |
| contents | <p><span lang="EN-US">A new framework for adaptive and personalized learning in higher education is presented in this research, which is called AIIA (Artificial intelligence-enabled intelligent assistant). In order to provide a dynamic and interesting educational platform, the AIIA system makes use of cutting-edge AI and NLP methods. This platform is designed to make learning easier for learners by making material readily available, making it easier to test knowledge, and offering individualized learning support based on each learner's needs and style. One of the many things the AIIA can do is interpret and answer student questions. It can also make flashcards and quizzes, and provide individualized learning plans. The research findings could greatly influence how virtual teaching assistants (VTAs) powered by artificial intelligence (AI) are designed, implemented, and evaluated in higher education. This, in turn, could lead to the creation of new and improved educational tools that improve students' engagement, learning outcomes, and overall satisfaction with their educational experience. Developing AI-enabled intelligent assistants for education provides methodology, system design, intelligent services, and LMS integration. The study also discusses the limitations, challenges, and future possibilities for this field.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15776620 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Smart Assistant Powered by Artificial Intelligence for Adaptive and Customized Learning in Higher Education Dr. Rajinder Kumar Charanjeet Kaur Dr. Vijay Laxmi Artificial Intelligence (AI) in Education, Personalized Learning, Adaptive Learning Technologies, Cognitive Learning Models, Limitations and Scope. <p><span lang="EN-US">A new framework for adaptive and personalized learning in higher education is presented in this research, which is called AIIA (Artificial intelligence-enabled intelligent assistant). In order to provide a dynamic and interesting educational platform, the AIIA system makes use of cutting-edge AI and NLP methods. This platform is designed to make learning easier for learners by making material readily available, making it easier to test knowledge, and offering individualized learning support based on each learner's needs and style. One of the many things the AIIA can do is interpret and answer student questions. It can also make flashcards and quizzes, and provide individualized learning plans. The research findings could greatly influence how virtual teaching assistants (VTAs) powered by artificial intelligence (AI) are designed, implemented, and evaluated in higher education. This, in turn, could lead to the creation of new and improved educational tools that improve students' engagement, learning outcomes, and overall satisfaction with their educational experience. Developing AI-enabled intelligent assistants for education provides methodology, system design, intelligent services, and LMS integration. The study also discusses the limitations, challenges, and future possibilities for this field.</span></p> |
| title | A Smart Assistant Powered by Artificial Intelligence for Adaptive and Customized Learning in Higher Education |
| topic | Artificial Intelligence (AI) in Education, Personalized Learning, Adaptive Learning Technologies, Cognitive Learning Models, Limitations and Scope. |
| url | https://doi.org/10.5281/zenodo.15776620 |