Mining learner profile utilizing association rule for web-based learning diagnosis

[1]  Chih-Ming Chen,et al.  Personalized curriculum sequencing utilizing modified item response theory for web-based instruction , 2006, Expert Syst. Appl..

[2]  Hahn-Ming Lee,et al.  Personalized e-learning system using Item Response Theory , 2005, Comput. Educ..

[3]  Jia-Sheng Heh,et al.  Learning and diagnosis of individual and class conceptual perspectives: an intelligent systems approach using clustering techniques , 2005, Comput. Educ..

[4]  Chenn-Jung Huang,et al.  Application of machine learning techniques to Web-based intelligent learning diagnosis system , 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).

[5]  Bin Shyan Jong,et al.  Diagnostic and remedial learning strategy based on conceptual graphs , 2004, J. Comput. Assist. Learn..

[6]  Daniel Sánchez,et al.  Fuzzy association rules: general model and applications , 2003, IEEE Trans. Fuzzy Syst..

[7]  George D. Magoulas,et al.  Towards new forms of knowledge communication: the adaptive dimension of a web-based learning environment , 2002, Comput. Educ..

[8]  Sei-Wang Chen,et al.  A testing system for diagnosing misconceptions in DC electric circuits , 1998, Comput. Educ..

[9]  John Riedl,et al.  Ganging up on Information Overload , 1998, Computer.

[10]  M. Reckase Item Response Theory: Parameter Estimation Techniques , 1998 .

[11]  Hal Berghel,et al.  Cyberspace 2000: dealing with information overload , 1997, CACM.

[12]  Ramakrishnan Srikant,et al.  Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.

[13]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[14]  Hui-Mei Wang,et al.  Effects of confidence scores and remedial instruction on prepositions learning in adaptive hypermedia , 2004, Comput. Educ..

[15]  Gwo-Jen Hwang,et al.  A Computer-Assisted Approach to Diagnosing Student Learning Problems in Science courses , 2003, J. Inf. Sci. Eng..

[16]  Margaret H. Dunham,et al.  Data Mining: Introductory and Advanced Topics , 2002 .

[17]  Peter Brusilovsky,et al.  Adaptive and Intelligent Technologies for Web-based Eduction , 1999, Künstliche Intell..

[18]  R. Agrawal,et al.  Fast Algorithms for Mining Association Rules , 1998 .

[19]  Gerhard Weber,et al.  User Modeling and Adaptive Navigation Support in WWW-Based Tutoring Systems , 1997 .