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Huili Zhang; Guoliang Xu – International Journal of Web-Based Learning and Teaching Technologies, 2025
The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study…
Descriptors: Multiple Intelligences, Foreign Countries, Chinese, Literature
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Xi Jin – International Journal of Web-Based Learning and Teaching Technologies, 2024
How to develop a teaching management system to improve the teaching efficiency of art courses has become an important challenge at present. This article takes university art teaching courses as the research object, uses dynamic L-M algorithm to optimize a large number of parameters, proposes an improved neural networks evaluation model,…
Descriptors: Instructional Effectiveness, Art Education, Barriers, Models
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Hongyu Xie; He Xiao; Yu Hao – International Journal of Web-Based Learning and Teaching Technologies, 2024
Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…
Descriptors: Artificial Intelligence, Electronic Learning, Individualized Instruction, Models
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Pal, Saurabh; Dutta Pramanik, Pijush Kanti; Choudhury, Prasenjit – International Journal of Web-Based Learning and Teaching Technologies, 2019
The popularity of smart learning has soared due to its flexibility, ubiquity, context-awareness, and adaptiveness. In particular, video-based m-learning has the biggest impact on the learning process. Its live and realistic features make learning interactive, easy, and fast. This article establishes the importance of video-based learning and…
Descriptors: Video Technology, Learning Processes, Learning Experience, Teaching Methods