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Information Journal Paper

Title

A NEW APPROACH TO IMPROVE E-LEARNING

Pages

  181-192

Abstract

 E-learning, by eliminating the limitation of space and time to attend in classes, has found a widespread use in communication between students and teachers. On the other hand, intelligence components, such as providing feedback and hint for students will increase the quality of education. But current methods for implementation of intelligent have high costs. This paper introduces a new method to provide intelligent e-learning at a low cost. Intelligence emergences in two components, including knowledge assessment and selection of appropriate hint during the problem solving. In this approach, a Bayesian network utilized to assess student knowledge and an ARTIFICIAL NEURAL NETWORK utilized to select the appropriate hint. The structure of both networks is determined by training data. The proposed method is implemented and assessed in an e-learning system. The above 90 percent accuracy in both networks and low implementation cost are of the important advantages of the proposed method. The structure of the two networks which is based on training data makes it possible to use it in a variety of systems use e-learning systems with a diverse range of knowledge.

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    APA: Copy

    BANADKOUKI, HOSEIN, ABBASI, KARIM, & RAHATI, AMIN. (2015). A NEW APPROACH TO IMPROVE E-LEARNING. JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION), 9(3), 181-192. SID. https://sid.ir/paper/155342/en

    Vancouver: Copy

    BANADKOUKI HOSEIN, ABBASI KARIM, RAHATI AMIN. A NEW APPROACH TO IMPROVE E-LEARNING. JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION)[Internet]. 2015;9(3):181-192. Available from: https://sid.ir/paper/155342/en

    IEEE: Copy

    HOSEIN BANADKOUKI, KARIM ABBASI, and AMIN RAHATI, “A NEW APPROACH TO IMPROVE E-LEARNING,” JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION), vol. 9, no. 3, pp. 181–192, 2015, [Online]. Available: https://sid.ir/paper/155342/en

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