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Philosophy of self-learning education implemented in a virtual education system
The virtual education system is a learning environment facilitated by computers, and the Internet is beyond the educational organization. A simulated virtual education system's major challenge is not instructing students and having face-to-face interaction with professors in online learning. Th...
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Published in: | Learning and motivation 2023-11, Vol.84, p.101916, Article 101916 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The virtual education system is a learning environment facilitated by computers, and the Internet is beyond the educational organization. A simulated virtual education system's major challenge is not instructing students and having face-to-face interaction with professors in online learning. There has been a long history of attempting to use computers in classrooms, usually with dismal outcomes. Recent and ongoing research in the field of artificial intelligence (Al) is, however, making a significant impact on educational applications. Here discussing about how to create classrooms where students can take the lead in their own education. Hence, in this paper, the Artificial Intelligence assisted Educational Philosophical Strategies Model (AIEPSM) has been proposed to improve teacher and student interaction and enhance students’ performance in the virtual education system. The proposed AIEPSM method analyzed the student’s virtual learning interaction performance and provided tasks in the assessment process. Artificial intelligence offers a real-time feedback system with reliable learning materials for students to complete assessment tasks. The experimental results show the AIEPSM improve teacher-student interaction, enhance student performance rate to 97.39 %, and reliably increase the student confidence level in virtual education System. |
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ISSN: | 0023-9690 1095-9122 |
DOI: | 10.1016/j.lmot.2023.101916 |