Examining students' online interaction in a live video streaming environment using data mining and text mining

Computers in Human Behavior

Volumn 29, Issue 1, 2013, Pages 90-102

  He, Wu ^a  

^a OLD DOMINION UNIVERSITY   (United States)

Author keywords

Clustering analysis; Educational data mining; Live video streaming; Online interaction; Social interaction; Text mining

Indexed keywords

CLUSTERING ANALYSIS; EDUCATIONAL DATA MINING; LIVE VIDEO STREAMING; ONLINE INTERACTION; SOCIAL INTERACTIONS; TEXT MINING;

ONLINE SYSTEMS; STUDENTS;

DATA MINING;

EID: 84868199180     PISSN: 07475632     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chb.2012.07.020     Document Type: Article

References (103)

1. M. Abdous, and W. He Using text mining to uncover students' technology-related problems in live video streaming British Journal of Educational Technology 42 1 2011 40 49
2. M. Abdous, and C.-J. Yen A predictive study of learner satisfaction and outcomes in face-to- face, satellite broadcast, and live video-streaming learning environments The Internet and Higher Education 13 2010 248 257
3. Ananiadou, S. (2008). National centre for text mining: Introduction to tools for researchers. < http://www.jisc.ac.uk/publications/publications/ bpnationalcentrefortextminingv1.aspx > Retrieved 08.02.09.
4. S. Aragon Creating social presence in online environments New Directions for Adult and Continuing Education 100 2003 57 68
5. J.B. Arbaugha, A. Bangertb, and M. Cleveland-Innes Subject matter effects and the Community of Inquiry (CoI) framework: An exploratory study The Internet and Higher Education 13 1-2 2010 37 44
6. J.B. Arbaugh An empirical verification of the Community of Inquiry framework Journal of Asynchronous Learning Networks 11 2007 73 85
7. J.B. Arbaugh, and A. Hwang Does "teaching presence" exist in online MBA courses? The Internet and Higher Education 9 1 2006 9 21
8. P. Baepler, and C.J. Murdoch Academic analytics and data mining in higher education International Journal for the Scholarship of Teaching & Learning 4 2 2010 1 9
9. R. Baker, and K. Yacef The state of educational data mining in 2009: A review and future visions 2009 Journal of Education Data Mining 1 1 2009 3 17
10. R. Baker Data Mining for education B. Mcgaw, P. Peterson, Baker International encyclopedia of education 3rd ed. 2009 Elsevier Oxford, UK
11. A. Bangert The influence of social presence and teaching presence on the quality of online critical inquiry Journal of Computing in Higher Education 20 1 2008 34 61
12. Barahate, S. R.; & Shelake, V. M. (2012). A survey and future vision of data mining in educational field. In Proceedings of 2012 second international conference on advanced computing & communication technologies (pp. 96-100).
13. E. Black, K. Dawson, and J. Priem Data for free: Using LMS activity logs to measure community in an online course Internet and Higher Education 11 2 2008 65 70
14. F. Castro, A. Vellido, A. Nebot, and F. Mugica Applying data mining techniques to e-learning problems L.C. Jain, R. Tedman, D. Tedman, Evolution of teaching and learning paradigms in intelligent environment 2007 Springer-Verlag New York 183 221
15. L. Chang Applying data mining to predict college admissions yield: A case study New Directions for Institutional Research 2006 131 2006 53 68
16. S.Y. Chen, and X. Liu The contribution of data mining to information science Journal of Information Science 30 6 2004 550 558
17. D. Chiang, C. Lin, and M. Chen The adaptive approach for storage assignment by mining data of warehouse management system for distribution centres Enterprise Information Systems 5 2 2011 219 234
18. J. Coldwell, A. Craig, T. Paterson, and J. Mustard Online Students: Relationships between participation, demographics and academic performance The Electronic Journal of e-Learning 6 1 2008 19 30
19. K. Dejaeger, F. Goethals, A. Giangreco, L. Mola, and B. Baesens Gaining insight into student satisfaction using comprehensible datamining techniques European Journal of Operational Research 218 2 2012 548 562
20. N. Delavaria, S. Phon-Amnuaisuka, and M. Reza Beikzadehb Data mining application in higher learning institutions Informatics in Education 7 1 2008 31
21. P. Dillenbourg, and D. Schneider Mediating the mechanisms which make collaborative learning sometimes effective International Journal of Educational Telecommunications 1 1995 131 146
22. A.K. Dominguez, K. Yacef, and J. Curran Data mining to generate individualised feedback Intelligent Tutoring Systems, Lecture Notes in Computer Science 6095 2010 2010 303 305
23. L.P. Dringus, and T. Ellis Using data mining as a strategy for assessing asynchronous discussion forums Computers and Education 45 1 2005 141 160
24. L. Duan, and L. Xu Business intelligence for enterprise systems: A survey IEEE Transactions on Industrial Informatics 8 3 2012 679 687
25. L. Duan, W.N. Street, and E. Xu Healthcare information systems: Data mining methods in the creation of a clinical recommender system Enterprise Information Systems 5 2 2011 169 181
26. L. Duan, L. Xu, Y. Liu, and J. Lee Cluster-based outlier detection Annals of Operations Research 168 1 2009 151 168
27. L. Duan, L. Xu, F. Guo, J. Lee, and B. Yan A local-density based spatial clustering algorithm with noise Information Systems 32 7 2007 978 986
28. Falakmasir, M.; & Jafar, H. (2010). Using educational data mining methods to study the impact of virtual classroom in e-learning. In Proceedings of the 3rd international conference on educational data mining, Pittsburgh, PA, USA.
29. R. Faulkner, J.W. Davidson, and G.E. McPherson The value of data mining in music education research and some findings from its application to a study of instrumental learning during childhood International Journal of Music Education 28 3 2010 212 230
30. Feldman, R.; & Dagan, I. (1995). Knowledge discovery in textual databases (KDT). In Proceedings of the first international conference on knowledge discovery and data mining (pp. 112-117), Montreal, QC, Canada.
31. E. Garcia, C. Romero, S. Ventura, and C. de Castro A collaborative educational association rule mining tool Internet and Higher Education 14 2 2011 77 88
32. D. Garrison, R.T. Anderson, and W. Archer The first decade of the community of inquiry framework: A retrospective The Internet and Higher Education 13 2010 5 9
33. D.R. Garrison, and J.B. Arbaugh Researching the community of inquiry framework: Review, issues, and future directions The Internet and Higher Education 10 2007 157 172
34. D.R. Garrison, M. Cleveland-Innes, M. Koole, and J. Kappelman Revisting methodological issues in the analysis of transcripts: Negotiated coding and reliability The Internet and Higher Education 9 1 2006 1 8
35. D.R. Garrison, and M. Cleveland-Innes Facilitating cognitive presence in online learning: Interaction is not enough American Journal of Distance Education 19 3 2005 133 148
36. D. Garrison, R.T. Anderson, and W. Archer Critical thinking, cognitive presence, and computer conferencing in distance education The American Journal of Distance Education 15 1 2001 7 23
37. D. Garrison, R.T. Anderson, and W. Archer Critical inquiry in a text-based environment: Computer conferencing in higher education The Internet and Higher Education 2 2000 87 105
38. P. Gorissen, J. Bruggen, and W. Jochems Usage reporting on recorded lectures using educational data mining International Journal of Learning Technology 7 1 2012 23 40
39. T. Hartsell, and S. Yuen Video streaming in online learning AACE Journal 14 1 2006 31 43
40. F. Henri Computer conferencing and content analysis A. Kaye, Collaborative learning through computer conferencing: The Najaden papers 1991 Springer-Verlag London 117 136
41. M. Herbert Staying the course: A study in online student satisfaction and retention Online Journal of Distance Learning Administration 9 4 2008 http://www.westga.edu/~distance/ojdla/winter94/herbert94.htm
42. S. Hrastinski A theory of online learning as online participation Computers & Education 52 1 2009 78 82
43. S. Hrastinski What is online learner participation? A literature review Computers & Education 51 4 2008 1755 1765
44. J. Hung Trends of E-learning research from 2000 to 2008: Use of text mining and bibliometrics British Journal of Educational Technology 43 1 2012 5 16
45. J. Hung, and K. Zhang Revealing online learning behaviors and activity patterns and making predictions with data mining techniques in online teaching MERLOT Journal of Online Learning and Teaching 4 4 2008 http://jolt.merlot.org/ vol4no4/hung-1208.htm
46. J. Hung, and S.M. Crooks Examining online learning patterns with data mining techniques in peer-moderated and teacher-moderated courses Journal of Educational Computing Research 40 2 2009 183 210
47. International Educational Data Mining Society. < www. educationaldatamining.org >.
48. A.K. Jain, M.N. Murty, and P.J. Flynn Data clustering: A review ACM Computing Surveys 31 3 1999 264 323
49. D.W. Johnson, and R.T. Johnson Cooperation and the use of technology D.H. Jonassen, Handbook of research for educational communications and technology: A project of the Association for Educational Communications and Technology (AECT) 1996 Macmillan New York 1017 1044
50. Q. Jones, G. Ravid, and S. Rafaeli Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration Information Systems Research 15 2 2004 194 210
51. M. Jovanovica, M. Vukicevica, M. Milovanovica, and M. Minovica Using data mining on student behavior and cognitive style data for improving e-learning systems: A case study International Journal of Computational Intelligence Systems 5 3 2012 597 610
52. W. Klosgen, and J. Zytkow Handbook of data mining and knowledge discovery 2002 Oxford University Press New York
53. K. Kreijns, P. Kirschner, and W. Jochems Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: A review of the research Computers in Human Behavior 19 2003 335 353
54. K. Lau, K. Lee, and Y. Ho Text Mining for the Hotel Industry Cornell Hotel and Restaurant Administration Quarterly 46 3 2005 344 362
55. L. Li Introduction: Advances in e-business engineering Information Technology & Management 12 2 2011 49 50
56. J. Li, K. Wang, and L. Xu Chameleon based on clustering feature tree and its application in customer segmentation Annals of Operations Research 168 1 2009 225 245
57. S. Liao, P. Chu, and P.Y. Hsiao Data mining techniques and applications - A decade review from 2000 to 2011 Expert Systems with Applications 39 2012 11303 11311
58. F.R. Lin, L.S. Hsieh, and F.T. Chuang Discovering genres of online discussion threads via text mining Computers & Education 52 2 2009 481 495
59. B. Liu, S.G. Cao, and W. He Distributed Data Mining for E-Business Information Technology & Management 12 1 2011 1 13
60. L.P. Macfadyen, and S. Dawson Mining LMS data to develop an "early warning system" for educators: A proof of concept Computers & Education 54 2 2010 588 599
61. K.A. Meyer Face-to-face versus threaded discussions: The role of time and higher-order thinking Journal of Asynchronous Learning Networks 7 3 2003 55 65
62. M.G. Moore Three types of interaction The American Journal of Distance Education 3 2 1989 1 6
63. M.G. Moore Theory of transactional distance D. Keegan, Theoretical principles of distance education 1993 Routledge New York
64. Muehlenbrock, M. (2005). Automatic action analysis in an interactive learning environment. In Proceedings of the workshop on usage analysis in learning systems at the 12th international conference on artificial intelligence in education AIED (pp. 73-80). Amsterdam, the Netherlands.
65. U.Y. Nahm, and R.J. Mooney Text Mining with Information Extraction Proceedings of the AAAI 2002 Spring Symposium on Mining Answers from Texts and Knowledge Bases 2002 Stanford CA 60 67
66. R. Neumann, S. Parry, and T. Becher Teaching and learning in their disciplinary contexts: A conceptual analysis Studies in Higher Education 27 2002 405 417
67. E.W.T. Ngai, L. Xiu, and D.C.K. Chau Application of data mining techniques in customer relationship management: A literature relationship and classification Expert Systems with Applications 36 22002 2009 2529 2602
68. M. Norusis SPSS statistics 17.0 advanced statistical procedures companion 2008 Prentice Hall Upper Saddle River, NJ
69. S. Pal Mining educational data to reduce dropout rates of engineering students International Journal of Information Engineering and Electronic Business 2 1 2012 1 7
70. Parack, S.; Zahid, Z. & Merchant, F. (2012). Application of data mining in educational databases for predicting academic trends and patterns. In Proceedings of 2012 IEEE international conference on technology enhanced education (ICTEE) (pp. 1-4).
71. F. Pawan, T.M. Paulus, S. Yalcin, and C. Chang Online learning: Patterns of engagement and interaction among in-service teachers Language Learning and Technology 7 3 2003 119 140
72. D. Perera, J. Kay, I. Koprinska, K. Yacef, and O. Zaiane Clustering and sequential data mining of online collaborative learning data IEEE Transactions on Knowledge and Data Engineering 21 6 2009 759 772
73. A.G. Picciano Beyond student perceptions: Issues of interaction, presence, and performance in an online course Journal of Asynchronous Learning Networks 6 1 2002 21 40
74. C. Romero, and S. Ventura Educational data mining: A review of the state of the art IEEE Transaction on Systems, Man, and Cybernetics, Part C: Applications and Reviews 40 6 2010 601 618
75. C. Romero, P.G. Espejo, A. Zafra, J.R. Romero, and S. Ventura Web usage mining for predicting final marks of students that use Moodle courses Computer Applications in Engineering Education 2010 10.1002/cae.20456
76. C. Romero, S. Ventura, and E. Garcia Data mining in course management systems: Moodle case study and tutorial Computers & Education 51 1 2008 368 384
77. C. Romero, and S. Ventura Educational data mining: A survey from 1995 to 2005 Expert Systems with Applications 1 33 2007 135 146
78. Seifert, J. (2004). Data mining: An overview. Analyst in Information Science and Technology Policy Resources, Science, and Industry Division, December 2004.
79. P. Shea, S. Hayes, and J. Vickers Online instructional effort measured through the lens of teaching presence in the community of inquiry framework: A re-examination of measures and approach The International Review of Research in Open and Distance Learning 11 3 2010 127 154
80. P. Shea, and T. Bidjerano Community of inquiry as a theoretical framework to foster "epistemic engagement" and "cognitive presence" in online education Computers & Education 52 3 2009 543 553
81. Shea, P.; Fredericksen, E.; Pickett, A.; Pelz, W.; & Swan, K. (2001). Measures of learning effectiveness in the SUNY Learning Network. In J. Bourne and J. Moore (Eds.), Online education: Proceedings of the 2000 Sloan summer workshop on asynchronous learning networks. Sloan-C series (Vol. 2). Needham, MA: Sloan-C Press.
82. Z. Shi, Y. Huang, Q. He, L. Xu, S. Liu, and L. Qin MSMiner - A developing platform for OLAP Decision Support Systems 42 4 2007 2016 2028
83. B. Smith, and J. MacGregor What is collaborative learning? A. Goodsell, M. Maher, V. Tinto, B. Smith, J. MacGregor, Collaborative learning: A sourcebook for higher education 1992 National Center on Postsecondary Teaching, Learning, and Assessment, Pennsylvania State University University Park PA 9 22
84. L.S. Sproull, and S. Kiesler Connections: New Ways of Working in the Networked Organization 1991 MIT Cambridge, MA 1991
85. K. Swan, P. Shea, J. Richardson, P. Ice, D.R. Garrison, and M. Cleveland-Innes Validating a measurement tool of presence in online communities of inquiry E-Mentor 2 24 2008 1 12
86. K. Swan, and L.F. Shih On the nature and development of social presence in online course discussions Journal of Asynchronous Learning Networks 9 2005 115 136
87. K. Swan Virtual interaction: Design factors affecting student satisfaction and perceived learning in asynchronous online courses Distance Education 22 2 2001 306 331
88. Talavera, L. & Gaudioso, E. (2004). Mining student data to characterize similar behavior groups in unstructured collaboration spaces. Workshop on Artificial Intelligence in CSCL. 16th European Conference on Artificial Intelligence (ECAI 2004) (pp. 17-23).
89. Tane, J.; Schmitz, C.; & Stumme, G.(2004). Semantic resource management for the web: An e-learning application. In Proceedings of the WWW conference (pp. 1-10). New York, USA, 2004.
90. C. Tu, and M. McIsaac The relationship of social presence and interaction in online classes American Journal of Distance Education 16 3 2002 131 150
91. Ueno, M. (2004). Data mining and text mining technologies for collaborative learning in an ILMS "samurai". In IEEE international conference on advanced learning technologies (pp. 1052-1053), Joensuu, Finland.
92. S. Vonderwell, and S. Zachariah Factors that influence participation in online learning Journal of Research on Technology in Education 38 2 2005 213 230
93. L. Vygotsky Thought and language 1986 MIT Press Boston MA
94. E. Wenger Communities of practice. Learning, meaning, and identity 1998 Cambridge University Press Cambridge
95. B. Wetzstein Identifying influential factors of business process performance using dependency analysis Enterprise Information System 5 1 2011 79 98
96. D. Wu, and S.R. Hiltz Predicting learning from asynchronous online discussions Journal of Asynchronous Learning Networks 8 2 2004 139 152
97. E. Xu, M. Wermus, and B. Bauman Development of an integrated medical supply information system Enterprise Information Systems 5 3 2011 385 399
98. L. Xu, N. Liang, and Q. Gao An integrated approach for agricultural ecosystem management IEEE Transactions on Systems, Man, and Cybernetics, Part C 38 4 2008 590 599
99. Zafra, A.; & Ventura, S. (2009). Predicting student grades in learning management systems with multiple instance programming. In Proceedings of the 2nd international conference on educational data mining, Crodoba, Spain.
100. L. Zeng, L. Li, and L. Duan Business intelligence in enterprise computing environment Information Technology & Management 2012 10.1007/s10799-012- 0123-z
101. L. Zeng Distributed data mining: A survey Information Technology & Management 2012 10.1007/s10799-012-0124-y
102. S. Zha, P. Kelly, M.K. Park, and G. Fitzgerald An investigation of ESL students using electronic discussion boards Journal of Research on Technology in Education 38 3 2006 349 367
103. S. Zha, and C. Ottendorfer Effects of peer-led online asynchronous discussion on undergraduate students' cognitive achievement American Journal of Distance Education 25 4 2011 238 253