Artificial Intelligence in University Education - Designing a Learning Model to Support the Interaction between Students and AI
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Technical and Vocational Education | Vietnam | Volume 12 Issue 3, March 2023 | Popularity: 5.2 / 10


     

Artificial Intelligence in University Education - Designing a Learning Model to Support the Interaction between Students and AI

Dinh Thi My Hanh, Tran Van Hung


Abstract: Personalization in learning plays an important role for learners, especially university students. This approach places more importance on the learning process than on the teaching process. Students learn in all experiences and with all other individuals, motivating learning and optimizing lessons, suitable for each student. However, in order for the personalized learning model to be truly effective, teachers need to innovate the teaching methods, the way of evaluating the student?s learning process. One of which is the use of artificial intelligence (AI). The design of teaching with the support of AI is necessary to design a learning model and one of the important elements in this teaching model is AI Technology. This paper aims to propose a model that includes 3 factors: teachers, students and AI technologies. At the same time, the paper proposes systematic knowledge along with the design of ML Course system that integrates the KNN (K - nearest neighbors) machine learning algorithms to help students with suggestions matching students' cognitive level when performing exercises.


Keywords: Artificial Intelligence; Education; teaching model; KNN algorithm


Edition: Volume 12 Issue 3, March 2023


Pages: 1258 - 1268


DOI: https://www.doi.org/10.21275/SR23320133658


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Dinh Thi My Hanh, Tran Van Hung, "Artificial Intelligence in University Education - Designing a Learning Model to Support the Interaction between Students and AI", International Journal of Science and Research (IJSR), Volume 12 Issue 3, March 2023, pp. 1258-1268, https://www.ijsr.net/getabstract.php?paperid=SR23320133658, DOI: https://www.doi.org/10.21275/SR23320133658

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