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Improved fuzzy‐assisted multimedia‐assistive technology for engineering education
Author(s) -
Li Na,
Chen Xuhua,
Subramani Selvakumar,
Kadry Seifedine N.
Publication year - 2021
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22230
Subject(s) - transformative learning , fuzzy logic , computer science , multimedia , quality (philosophy) , artificial intelligence , psychology , pedagogy , philosophy , epistemology
Presently, technological developments within the academic and online education sectors have enabled mobile data‐based interactive strategies to impact transformative learning innovations for improving the learning experience. Nowadays, fuzzy logic has become a part of engineering educational systems, and it provides uncertainty‐defining logic. In this paper, the following method has been proposed for the engineering educational system: Recommending groups in E‐learning‐based fuzzy learning approach with multimedia‐assistive technology. In the recent past, assistive technologies have served as a tool or platform for resolving problems and improved learning through many factors, such as critical thinking, multimodal communication, and motivational approaches for students. Currently, the application of fuzzy logic in education has helped in making decisions in an effective manner. These technologies and experiments have significant roles in student success, because a classical student evaluation and a group study approach for high‐quality learning are no longer sufficient.