International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Research on The Reform of University Education and Teaching Mode Driven by Artificial Intelligence
Author(s) | Jia Xin Xie |
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Country | China |
Abstract | Artificial intelligence is becoming a key force leading the reform of higher education and teaching. This paper systematically analyzes the application demand and development trend of artificial intelligence in college education, discusses the reform direction and realization path of college education and teaching mode driven by artificial intelligence, analyzes the effectiveness and challenges of the reform of education and teaching mode enabled by artificial intelligence, and looks forward to the future development trend. It is found that artificial intelligence can promote the intellectualization of teaching content, the personalization of teaching process, the intellectualization of teaching evaluation, the reshaping of the roles of teachers and students, and the intellectualization of teaching management. However, there are still some challenges in knowledge expression, adaptive learning, learning analysis and acceptance of teachers and students, which need to be solved by specific measures. In the future, artificial intelligence will further enable the reform of college education and teaching mode, and colleges and universities should take the initiative to embrace artificial intelligence, optimize the teaching mode, and provide students with more intelligent and personalized high-quality education services. |
Published In | Volume 6, Issue 3, May-June 2024 |
Published On | 2024-06-23 |
Cite This | Research on The Reform of University Education and Teaching Mode Driven by Artificial Intelligence - Jia Xin Xie - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23245 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i03.23245 |
Short DOI | https://doi.org/gt243q |
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E-ISSN 2582-2160
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