Integrating augmented reality into intelligent tutoring systems to enhance science education outcomes
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10639-024-12970-y.pdf
Reference119 articles.
1. Abdelshiheed, M., Barnes, T., & Chi, M. (2023). How and When: The Impact of Metacognitive Knowledge Instruction and Motivation on Transfer across Intelligent Tutoring Systems. International Journal of Artificial Intelligence in Education, 1–34. https://doi.org/10.1007/s40593-023-00371-0
2. Ahuja, N. J., Dutt, S., Choudhary, S. L., & Kumar, M. (2022). Intelligent Tutoring System in Education for Disabled Learners Using Human–Computer Interaction and Augmented Reality. International Journal of Human–Computer Interaction, 1–13. https://doi.org/10.1080/10447318.2022.2124359
3. Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: Reforming education in the age of artificial intelligence. In Proceedings of the Advanced Computing and Intelligent Technologies: ICACIT 2022 (pp. 395–406). Springer Nature Singapore.
4. Alam, A. (2023). Harnessing the Power of AI to Create Intelligent Tutoring Systems for Enhanced Classroom Experience and Improved Learning Outcomes. In Intelligent Communication Technologies and Virtual Mobile Networks (pp. 571–591). Springer Nature Singapore.
5. Alamri, H., Lowell, V., Watson, W., & Watson, S. L. (2020). Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation. Journal of Research on Technology in Education, 52(3), 322–352.
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