Evaluating e-learning Web site quality in a fuzzy environment

被引:47
|
作者
Buyukozkan, Gulcin [1 ]
Ruan, Da
Feyzioglu, Orhan
机构
[1] Galatasaray Univ, Ind Engn Dept, TR-34357 Istanbul, Turkey
[2] CEN SCK, Belgian Nucl Res Ctr, B-2400 Mol, Belgium
关键词
D O I
10.1002/int.20214
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The proliferation of the Internet and World Wide Web applications has created new opportunities as well as new challenges for institutions and individuals who are either receiving or delivering education. Electronic (e) learning is one of the most important developments in education. It recognizes the shift from teaching to learning and puts the learner or user before the institution. The objectives and expected outcomes of e-learning are largely dependent on the quality of the teaching processes and the effectiveness of online access. Hence, assessing methods for the effectiveness of e-learning Web sites are a critical issue in both practice and research. However, Web site quality is a complex concept and its measurement is expected to be multidimensional in nature. Multicriteria decision-making (MCDM) techniques are widely used for evaluating and ranking such problems containing multiple, usually conflicting criteria. For this reason, this article presents a quality evaluation model based on the MCDM to measure the e-learning Web sites' performance. In addition, the subjectivity and vagueness in the assessment process are dealt with using fuzzy logic. The study has investigated 10 worldwide and 11 locally successful Web sites with the proposed method. By suggesting an aggregated measure based on the Web site quality criteria, it is expected that the method could be useful to the e-learning service providers and system developers, as well as to the researchers related with Web research. (c) 2007 Wiley Periodicals, Inc.
引用
收藏
页码:567 / 586
页数:20
相关论文
共 50 条
  • [41] The e-learning site
    Sandars, John
    EDUCATION FOR PRIMARY CARE, 2006, 17 (04) : 408 - 409
  • [42] The e-learning site
    Sandars, John
    EDUCATION FOR PRIMARY CARE, 2009, 20 (03) : 198 - 199
  • [43] The e-learning site
    Sandars, John
    EDUCATION FOR PRIMARY CARE, 2007, 18 (06) : 763 - 764
  • [44] The e-learning site
    Sandars, John
    EDUCATION FOR PRIMARY CARE, 2008, 19 (06) : 654 - 655
  • [45] Tracking a Collaborative Web2.0 E-Learning Environment
    Talon, Benedicte
    Kerkeni, Insaf
    Tliche, Sabra
    Belaid-Ajroud, Henda
    SCALING UP LEARNING FOR SUSTAINED IMPACT, 2013, 8095 : 577 - 580
  • [46] Fostering a web 2.0 ethos in a traditional e-learning environment
    Martin, Marie
    Noakes, Michaela
    ELECTRONIC JOURNAL OF E-LEARNING, 2012, 10 (03): : 284 - 292
  • [47] Implementing a Web-based Personalized e-learning Environment
    Wang, Yu
    Wang, Hui
    Chang, Jifeng
    Jiao, Yongge
    PROCEEDINGS OF 2008 INTERNATIONAL COLLOQUIUM ON ARTIFICIAL INTELLIGENCE IN EDUCATION, 2008, : 88 - 92
  • [48] Improvement of Quality of Education Using E-Learning Environment
    stefanovic, Miladin
    Arsovski, Slavko
    Arsovski, Zora
    INTERNATIONAL JOURNAL FOR QUALITY RESEARCH, 2007, 1 (01) : 33 - 40
  • [49] Quality Analytics Framework for E-Learning Application Environment
    Nanduri, Satyanarayana
    Babu, Nelaturu Sarat Chandra
    Jain, Sandesh
    Sharma, Vaibhav
    Garg, Vikas
    Rajshekar, A. P.
    Rangi, Vikas
    2012 IEEE FOURTH INTERNATIONAL CONFERENCE ON TECHNOLOGY FOR EDUCATION (T4E), 2012, : 204 - 207
  • [50] Intuitionistic Fuzzy Approach for Adaptive Presentation in an E-learning Environment
    Goyal, Mukta
    Yadav, Divakar
    Tripathi, Alka
    2015 IEEE INTERNATIONAL CONFERENCE ON RESEARCH IN COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (ICRCICN), 2015, : 108 - 113