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      Improved fuzzy‐assisted multimedia‐assistive technology for engineering education

      한글로보기

      https://www.riss.kr/link?id=O111393815

      • 저자
      • 발행기관
      • 학술지명
      • 권호사항
      • 발행연도

        2021년

      • 작성언어

        -

      • Print ISSN

        1061-3773

      • Online ISSN

        1099-0542

      • 등재정보

        SCIE;SCOPUS

      • 자료형태

        학술저널

      • 수록면

        453-464   [※수록면이 p5 이하이면, Review, Columns, Editor's Note, Abstract 등일 경우가 있습니다.]

      • 구독기관
        • 전북대학교 중앙도서관  
        • 성균관대학교 중앙학술정보관  
        • 부산대학교 중앙도서관  
        • 전남대학교 중앙도서관  
        • 제주대학교 중앙도서관  
        • 중앙대학교 서울캠퍼스 중앙도서관  
        • 인천대학교 학산도서관  
        • 숙명여자대학교 중앙도서관  
        • 서강대학교 로욜라중앙도서관  
        • 충남대학교 중앙도서관  
        • 한양대학교 백남학술정보관  
        • 이화여자대학교 중앙도서관  
        • 고려대학교 도서관  
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      부가정보

      다국어 초록 (Multilingual Abstract)

      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.
      번역하기

      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 h...

      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.

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