Assessment of Personalized Learning in Immersive and Intelligent Virtual Classroom on Student Engagement
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909455763898368 |
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| author | Weng, Ying Zhang, Yiming |
| author_facet | Weng, Ying Zhang, Yiming |
| contents | As trends in education evolve, personalized learning has transformed individuals' engagement with knowledge and skill development. In the digital age, state-of-the-art technologies have been increasingly integrated into classrooms to support intelligent education and foster personalized learning experiences. One promising approach is the use of eye-tracking technology to evaluate student engagement in intelligent virtual classrooms. This paper explores the assessment of personalized learning in the virtual classroom and its impact on student engagement through the eye movement paradigm. The study aims to provide insights into how personalized learning approaches can enhance student participation, motivation, and academic performance in the online learning environment. Through a comprehensive literature review, case study, and data analysis, the paper examines the key elements of personalized learning, the methods of assessment, and the resulting effects on student engagement. The findings suggest that the eye movement paradigm has the potential to assess student engagement and promote better educational outcomes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_07883 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Assessment of Personalized Learning in Immersive and Intelligent Virtual Classroom on Student Engagement Weng, Ying Zhang, Yiming Computers and Society Human-Computer Interaction As trends in education evolve, personalized learning has transformed individuals' engagement with knowledge and skill development. In the digital age, state-of-the-art technologies have been increasingly integrated into classrooms to support intelligent education and foster personalized learning experiences. One promising approach is the use of eye-tracking technology to evaluate student engagement in intelligent virtual classrooms. This paper explores the assessment of personalized learning in the virtual classroom and its impact on student engagement through the eye movement paradigm. The study aims to provide insights into how personalized learning approaches can enhance student participation, motivation, and academic performance in the online learning environment. Through a comprehensive literature review, case study, and data analysis, the paper examines the key elements of personalized learning, the methods of assessment, and the resulting effects on student engagement. The findings suggest that the eye movement paradigm has the potential to assess student engagement and promote better educational outcomes. |
| title | Assessment of Personalized Learning in Immersive and Intelligent Virtual Classroom on Student Engagement |
| topic | Computers and Society Human-Computer Interaction |
| url | https://arxiv.org/abs/2501.07883 |