메뉴 건너뛰기




Volumn 12, Issue 6, 2017, Pages 31-51

Prediction of Learner's Profile Based on Learning Styles in Adaptive E-learning System

Author keywords

back propagation neural network model; Felder Silverman learning style model; Fuzzy C means; Gravitational search algorithm; Jaccard index; Xie Beni index

Indexed keywords

BACKPROPAGATION; CLUSTERING ALGORITHMS; E-LEARNING; FUZZY CLUSTERING; FUZZY SYSTEMS; NEURAL NETWORKS; TORSIONAL STRESS;

EID: 85021354623     PISSN: 18688799     EISSN: 18630383     Source Type: Journal    
DOI: 10.3991/ijet.v12i06.6579     Document Type: Article
Times cited : (70)

References (21)
  • 1
    • 84944411471 scopus 로고    scopus 로고
    • Learning style classification based on student's behavior in moodle learning management system
    • Manal Abdulaziz Abdullah. Learning style classification based on student's behavior in moodle learning management system. Transactions on Machine Learning and Artificial Intelligence, 3(1):28, 2015
    • (2015) Transactions on Machine Learning and Artificial Intelligence , vol.3 , Issue.1 , pp. 28
    • Abdullah, M.A.1
  • 3
    • 85021338471 scopus 로고    scopus 로고
    • Fuzzy c-means clustering model for identification of students' learning preferences in online environment
    • Oluwatoyin Catherine Agbonifo. Fuzzy c-means clustering model for identification of students' learning preferences in online environment. Int J of Computer Application and Information Technology, 4(1):15-21, 2013
    • (2013) Int J of Computer Application and Information Technology , vol.4 , Issue.1 , pp. 15-21
    • Agbonifo, O.C.1
  • 4
    • 84923178542 scopus 로고    scopus 로고
    • State of the art of learning styles-based adaptive educational hypermedia systems (ls-baehss)
    • Ahmed Al-Azawei and Atta Badii. State of the art of learning styles-based adaptive educational hypermedia systems (ls-baehss). International Journal of Computer Science & Information Technology, 6(3):1-10, 2014. https://doi.org/10.5121/ijcsit.2014.6301
    • (2014) International Journal of Computer Science & Information Technology , vol.6 , Issue.3 , pp. 1-10
    • Al-Azawei, A.1    Badii, A.2
  • 5
    • 84948969559 scopus 로고    scopus 로고
    • Using artificial neural networks to identify learning styles
    • Springer
    • Jason Bernard, Ting-Wen Chang, Elvira Popescu, and Sabine Graf. Using artificial neural networks to identify learning styles. In Artificial intelligence in education, pages 541-544. Springer, 2015. https://doi.org/10.1007/978-3-319-19773-9_57
    • (2015) In Artificial intelligence in education , pp. 541-544
    • Bernard, J.1    Chang, T.-W.2    Popescu, E.3    Graf, S.4
  • 6
    • 67349228542 scopus 로고    scopus 로고
    • A learning style classification mechanism for e-learning
    • Yi-Chun Chang, Wen-Yan Kao, Chih-Ping Chu, and Chiung-Hui Chiu. A learning style classification mechanism for e-learning. Computers & Education, 53(2):273-285, 2009. https://doi.org/10.1016/j.compedu.2009.02.008
    • (2009) Computers & Education , vol.53 , Issue.2 , pp. 273-285
    • Chang, Y.-C.1    Kao, W.-Y.2    Chu, C.-P.3    Chiu, C.-H.4
  • 8
    • 85013637488 scopus 로고    scopus 로고
    • Using clustering technique for student's grouping in intelligent elearning systems
    • Springer
    • Zakrzewska Danuta. Using clustering technique for student's grouping in intelligent elearning systems. In Intelligent Systems for Knowledge Management, pages 23-37. Springer, 2008
    • (2008) In Intelligent Systems for Knowledge Management , pp. 23-37
    • Danuta, Z.1
  • 9
    • 84929837176 scopus 로고    scopus 로고
    • Fuzzy-logic based learning style prediction in e-learning using web interface information
    • L Jegatha Deborah, R Sathiyaseelan, S Audithan, and P Vijayakumar. Fuzzy-logic based learning style prediction in e-learning using web interface information. Sadhana, 40(2):379-394, 2015. https://doi.org/10.1007/s12046-015-0334-1
    • (2015) Sadhana , vol.40 , Issue.2 , pp. 379-394
    • Deborah, L.J.1    Sathiyaseelan, R.2    Audithan, S.3    Vijayakumar, P.4
  • 10
    • 84910659460 scopus 로고    scopus 로고
    • A hybrid gravitational search algorithm and back-propagation for training feedforward neural networks
    • Springer
    • Quang Hung Do. A hybrid gravitational search algorithm and back-propagation for training feedforward neural networks. In Knowledge and Systems Engineering, pages 381-392. Springer, 2015
    • (2015) In Knowledge and Systems Engineering , pp. 381-392
    • Do, Q.H.1
  • 11
    • 84937978693 scopus 로고    scopus 로고
    • Automatic detection of learning styles: state of the art
    • Juan Feldman, Ariel Monteserin, and Anala Amandi. Automatic detection of learning styles: state of the art. Artificial Intelligence Review, 44(2):157-186, 2015. https://doi.org/10.1007/s10462-014-9422-6
    • (2015) Artificial Intelligence Review , vol.44 , Issue.2 , pp. 157-186
    • Feldman, J.1    Monteserin, A.2    Amandi, A.3
  • 12
    • 84857130348 scopus 로고    scopus 로고
    • Evaluation of e-learners behaviour using different fuzzy clustering models: a comparative study
    • Mofreh A Hogo. Evaluation of e-learners behaviour using different fuzzy clustering models: a comparative study. International Journal of Computer Science and E-education, 7(2):131-140, 2010
    • (2010) International Journal of Computer Science and E-education , vol.7 , Issue.2 , pp. 131-140
    • Hogo, M.A.1
  • 14
    • 84880162531 scopus 로고    scopus 로고
    • Approximating number of hidden layer neurons in multiple hidden layer bpnn architecture
    • Saurabh Karsoliya. Approximating number of hidden layer neurons in multiple hidden layer bpnn architecture. International Journal of Engineering Trends and Technology, 3(6):713-717, 2012
    • (2012) International Journal of Engineering Trends and Technology , vol.3 , Issue.6 , pp. 713-717
    • Karsoliya, S.1
  • 17
    • 67349227408 scopus 로고    scopus 로고
    • Automatic detection of learning styles for an e-learning system
    • Ebru özpolat and Gözde B Akar. Automatic detection of learning styles for an e-learning system. Computers & Education, 53(2):355-367, 2009. https://doi.org/10.1016/j.comp edu.2009.02.018
    • (2009) Computers & Education , vol.53 , Issue.2 , pp. 355-367
    • Özpolat, E.1    Akar, G.B.2
  • 20
    • 84923640378 scopus 로고    scopus 로고
    • Integrating learning styles and adaptive e-learning system: current developments, problems and opportunities
    • Huong May Truong. Integrating learning styles and adaptive e-learning system: current developments, problems and opportunities. Computers in Human Behavior, 55:1185-1193, 2016. https://doi.org/10.1016/j.chb.2015.02.014
    • (2016) Computers in Human Behavior , vol.55 , pp. 1185-1193
    • Truong, H.M.1
  • 21
    • 84905644646 scopus 로고    scopus 로고
    • An improved gravitational search algorithm for dynamic neural network identification
    • Bao-Chang Xu and Ying-Ying Zhang. An improved gravitational search algorithm for dynamic neural network identification. International Journal of Automation and Computing, 11(4):434-440, 2014. https://doi.org/10.1007/s11633-014-0810-9
    • (2014) International Journal of Automation and Computing , vol.11 , Issue.4 , pp. 434-440
    • Xu, B.-C.1    Zhang, Y.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.