Analysis of Student Motivation Behavior on e-Learning Based on Association Rule Mining
This research aims to create a model for analysis of student motivation behavior on e-Learning based on association rule mining techniques in case of the Information Technology for Communication and Learning Course at Suan Sunandha Rajabhat University. The model was created under association rules, one of the data mining techniques with minimum confidence. The results showed that the student motivation behavior model by using association rule technique can indicate the important variables that influence the student motivation behavior on e-Learning.
[1] E. García, C. Romero, S. Ventura, and C. Castro, "Using Rules
Discovery for the Continuous Improvement of e-Learning Courses,"
Lecture Notes in Computer Science, 2006, Volume 4224/2006, 887-895.
[2] J. Mostow, J. Beck, H. Cen, A. Cuneo, E. Gouvea, and C. Heiner, "An
educational data mining tool to browse tutor-student interactions: Time
will tell", In Proceedings of the Workshop on Educational Data Mining,
Pittsburgh, USA (pp. 15-22), 2005.
[3] M. E. Zorrilla, E. Menasalvas, D. Marin, E. Mora, and J.Segovia, "Web
usage mining project for improving web-based learning sites" , In Web
Mining Workshop. Cataluna pp. 1-22, 2005.
[4] C. Romero, S. Ventura, E. García, "Data mining in course management
systems: Moodle case study and tutorial" Computers & Education,
Volume 51, Issue 1, August 2008, pp. 368-384.
[5] H.H. Hsu, C.H. Chen, and W.P. Tai, "Towards Error-Free and
Personalized Web-Based Courses", In: The 17th International
Conference on Advanced Information Networking and Applications,
AINA-03. March 27-29, Xian,China, pp. 99-104, 2003.
[6] A. Kumar, "Rule-Based Adaptive Problem Generation in Programming
Tutors and its Evaluation", In: The 12th International Conference on
Artificial Intelligence in Education. July 18-22, Amsterdam, pp. 36-
44,2006.
[7] F. Berzal, J.C. Cubero, N. M. Sánchez, J.M. Serrano, and A. Vila,
"Association rule evaluation for classification purposes" Actas del III
Taller Nacional de Minería de Datos y Aprendizaje, TAMIDA2005,
pp.135-144 ISBN: 84-9732-449-8 ,2005.
[8] W. West, B.R.S. Rosser, S. Monani, and L. Gurak, " How Learning
Styles Impact ELearning:a Case Comparative Study Of Undergraduate
Students Who Excelled, Passed Or Failed An Online Course", In
Scientific/Technical Writing. E-learning, pp. 534-543, 2006.
[9] N. Kerdprasop, N. Muenrat, and K. Kerdprasop, "Decision Rule
Induction in a Learning Content Management System" Proceedings of
World Academy of Science, Engineering and Technology, pp.77-81,
2008.
[10] U. M. Fayyad, G. Pitatesky-Shapiro, P. Smyth, and R. Uthurasamy,
"Advances in Knowledge Discovery and Data Mining", AAAI/MIT
Press, 1996.
[11] W. Frawley, G. Piatetsky-Shapiro, and C. Matheus, "Knowledge
Discovery in Databases: An Overview". AI Magazine, Fall 1992, pp.
213-228.
[12] R. Agrawal, T. Imielinski, and A.N. Swami, A. N., "Mining association
rules between sets of items in large databases", In Proceedings of the
1993 ACM SIGMOD International Conference on Management of Data,
pp. 207-216,1993.
[13] Z. Qiankun, "Association Rule Mining:A Survey, Technical
Report",CAIS, Nanyang Technological University, Singapore , 2003
[14] R. Agrawal, and R. Srikant, "Fast algorithms for mining association
rules", In Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pp. 487-
499, 1994.
[15] http://www.cs.waikato.ac.nz/ml/weka/
[16] E. García, C. Romero, S. Ventura, C. Castro, and T. Calders, "Chapter
7: Association Rule Mining in Learning Management Systems." In:
Hadebook of Educational Data Mining, Taylor&Francis Group, 2010.
[1] E. García, C. Romero, S. Ventura, and C. Castro, "Using Rules
Discovery for the Continuous Improvement of e-Learning Courses,"
Lecture Notes in Computer Science, 2006, Volume 4224/2006, 887-895.
[2] J. Mostow, J. Beck, H. Cen, A. Cuneo, E. Gouvea, and C. Heiner, "An
educational data mining tool to browse tutor-student interactions: Time
will tell", In Proceedings of the Workshop on Educational Data Mining,
Pittsburgh, USA (pp. 15-22), 2005.
[3] M. E. Zorrilla, E. Menasalvas, D. Marin, E. Mora, and J.Segovia, "Web
usage mining project for improving web-based learning sites" , In Web
Mining Workshop. Cataluna pp. 1-22, 2005.
[4] C. Romero, S. Ventura, E. García, "Data mining in course management
systems: Moodle case study and tutorial" Computers & Education,
Volume 51, Issue 1, August 2008, pp. 368-384.
[5] H.H. Hsu, C.H. Chen, and W.P. Tai, "Towards Error-Free and
Personalized Web-Based Courses", In: The 17th International
Conference on Advanced Information Networking and Applications,
AINA-03. March 27-29, Xian,China, pp. 99-104, 2003.
[6] A. Kumar, "Rule-Based Adaptive Problem Generation in Programming
Tutors and its Evaluation", In: The 12th International Conference on
Artificial Intelligence in Education. July 18-22, Amsterdam, pp. 36-
44,2006.
[7] F. Berzal, J.C. Cubero, N. M. Sánchez, J.M. Serrano, and A. Vila,
"Association rule evaluation for classification purposes" Actas del III
Taller Nacional de Minería de Datos y Aprendizaje, TAMIDA2005,
pp.135-144 ISBN: 84-9732-449-8 ,2005.
[8] W. West, B.R.S. Rosser, S. Monani, and L. Gurak, " How Learning
Styles Impact ELearning:a Case Comparative Study Of Undergraduate
Students Who Excelled, Passed Or Failed An Online Course", In
Scientific/Technical Writing. E-learning, pp. 534-543, 2006.
[9] N. Kerdprasop, N. Muenrat, and K. Kerdprasop, "Decision Rule
Induction in a Learning Content Management System" Proceedings of
World Academy of Science, Engineering and Technology, pp.77-81,
2008.
[10] U. M. Fayyad, G. Pitatesky-Shapiro, P. Smyth, and R. Uthurasamy,
"Advances in Knowledge Discovery and Data Mining", AAAI/MIT
Press, 1996.
[11] W. Frawley, G. Piatetsky-Shapiro, and C. Matheus, "Knowledge
Discovery in Databases: An Overview". AI Magazine, Fall 1992, pp.
213-228.
[12] R. Agrawal, T. Imielinski, and A.N. Swami, A. N., "Mining association
rules between sets of items in large databases", In Proceedings of the
1993 ACM SIGMOD International Conference on Management of Data,
pp. 207-216,1993.
[13] Z. Qiankun, "Association Rule Mining:A Survey, Technical
Report",CAIS, Nanyang Technological University, Singapore , 2003
[14] R. Agrawal, and R. Srikant, "Fast algorithms for mining association
rules", In Proc. 20th Int. Conf. Very Large Data Bases, VLDB, pp. 487-
499, 1994.
[15] http://www.cs.waikato.ac.nz/ml/weka/
[16] E. García, C. Romero, S. Ventura, C. Castro, and T. Calders, "Chapter
7: Association Rule Mining in Learning Management Systems." In:
Hadebook of Educational Data Mining, Taylor&Francis Group, 2010.
@article{"International Journal of Information, Control and Computer Sciences:53116", author = "Kunyanuth Kularbphettong and Phanu Waraporn and Cholticha Tongsiri", title = "Analysis of Student Motivation Behavior on e-Learning Based on Association Rule Mining", abstract = "This research aims to create a model for analysis of student motivation behavior on e-Learning based on association rule mining techniques in case of the Information Technology for Communication and Learning Course at Suan Sunandha Rajabhat University. The model was created under association rules, one of the data mining techniques with minimum confidence. The results showed that the student motivation behavior model by using association rule technique can indicate the important variables that influence the student motivation behavior on e-Learning.
", keywords = "Motivation behavior, e-learning, moodle log, association rule mining.", volume = "6", number = "6", pages = "761-4", }
