Examining the necessary condition for engagement in an online learning environment based on learning analytics approach: The role of the instructor

Internet and Higher Education

Volumn 24, Issue , 2015, Pages 26-34

  Ma, Jing ^a   Han, Xibin ^a   Yang, Juan ^a   Cheng, Jiangang ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Learning analytics; Online learning environment; Role of the instructor; Student engagement

Indexed keywords

COMPUTER AIDED INSTRUCTION; CURRICULA; STUDENTS; TEACHING;

INTERACTION ACTIVITIES; LEARNING ANALYTICS; ONLINE LEARNING ENVIRONMENT; ROLE OF THE INSTRUCTOR; STUDENT ENGAGEMENT; STUDENTS' ENGAGEMENTS; TEACHING AND LEARNING; WEB-BASED LEARNING PLATFORMS;

E-LEARNING;

EID: 84908388269     PISSN: 10967516     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.iheduc.2014.09.005     Document Type: Article

References (45)

1. Anderson, L., & Krathwohl, D. (Eds.). (2001). A taxonomy for learning, teaching and assessing: A revision of Bloom's Taxonomy of Educational Objectives. New York: Longman.
2. Anderson, T., Rourke, L., Garrison, D.R., & Archer, W. (2001). Assessing teaching presence in a computer conferencing context. Journal of Asynchronous Learning Networks, 5(2), 1-17.
3. Bangert, A. (2008). The influence of social presence and teaching presence on the quality of online critical inquiry. Journal of Computing in Higher Education, 20(1), 34-61.
4. Beer, C., Clark, K., & Jones, D. (2010). Indicators of engagement. In C.H. Steel, M.J. Keppell, P. Gerbic, & S. Housego (Eds.), Curriculum, technology & transformation for an unknown future. Proceedings ascilite Sydney 2010 (pp. 75-86).
5. Cambridge, D., & Perez-Lopez, K. (2012). First steps towards a social learning analytics for online communities of practice for educators. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. Vancouver, BC, Canada (pp. 69-72).
6. Campbell, J.P., Finnegan, C., & Collins, B. (2006). Academic analytics: Using the CMS as an early warning system. Paper presented at the WebCT impact conference 2006.
7. Carini, R.M., Kuh, G.D., & Klein, S.P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47(1), 1-32.
8. Chen, P. -S.D., Lambert, A.D., & Guidry, K.R. (2010). Engaging online learners: the impact of web-based learning technology on college student engagement. Computer & Education, 54, 1222-1232.
9. Chickering, A.W., & Gamson, Z.F. (1987). Seven principles for good practice in undergraduate education. American Association for Higher Education Bulletin, 39(7), 3-7.
10. Clark, T. (1993). Attitudes of higher education faculty towards distance education: A national survey. The American Journal of Distance Education, 2, 19-33.
11. Coates, H. (2006). Student engagement in campus-based and online education: University connections. London: Routledge.
12. Coates, H. (2007). A model of online and general campus-based student engagement. Assessment & Evaluation in Higher Education, 32(2), 121-141.
13. Coppola, N.W., Hiltz, S.R., & Rotter, N. (2001). Becoming a virtual professor: Pedagogical roles and ALN. Proceedings of the 37th Annual Hawaii International Conference on System Sciences.
14. Dawson, S., Bakharia, A., & Heathcote, E. (2010). SNAPP: Realising the affordances of real-time SNA within networked learning environments. In H. V., L. Dirckinck-Holmfeld, C. Jones, M. de Laat, D. McConnell, & T.Ryberg (Eds.), Proceedings of the 7th International Conference on Networked Learning.
15. Dawson, S., Heathcote, L., & Poole, G. (2010). Harnessing ICT potential: The adoption and analysis of ICT systems for enhancing the student learning experience. International Journal of Educational Management, 24(2), 116-128.
16. Dawson, S., McWilliam, E., & Tan, J.P. -L. (2008). Teaching Smarter: How mining ICT data can inform and improve learning and teaching practice. Paper presented at the ASCILITE 2008, Melbourne, Australia.
17. Dunlap, J.C., Sobel, D., & Sands, D.I. (2007). Designing for deep and meaningful student to content interactions. Tech Trends, 51, 20-31.
18. Elias, T. (2011). Learning analytics: Definitions, processes and potential. Available: http://learninganalytics.net/LearningAnalyticsDefinitionsProcessesPotential.pdf
19. Falakmasir, M. H., & Habibi, J. (2010). Using educational data mining to study the impact of virtual classroom in E-Learning. Proceedings of the 3rd Annual Conference on Educational Data Mining, Pittsburgh, PA, USA (pp. 241-248).
20. Garrison, D.R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. Internet and Higher Education, 11 (2), 1-14.
21. Garrison, D.R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. American Journal of Distance Education, 19(3), 133-148.
22. Garrison, D.R., Cleveland-Innes, M., & Fung, T.S. (2010). Exploring causal relationships among teaching, cognitive and social presence: Student perceptions of the community of inquiry framework. The Internet and Higher Education, 13(1-2), 31-36.
23. Hu, S., & Kuh, G.D. (2002). Being (dis)engaged in educationally purposeful activities: The influences of student and institutional characteristics. Research in Higher Education, 43(5), 555-575.
24. Indiana University Center for Postsecondary Research (IUCPR) (2003). National survey of student engagement: The college student report. Bloomington, IN: Indiana University.
25. Jennings, J.M., & Angelo, T. (Eds.). (2006). Student engagement: Measuring and enhancing engagement with learning [Proceedings of a symposium]. Wellington: New Zealand Universities Academic Audit Unit.
26. Jensen, L. (1998). Interaction in distance education. Available: http://mmcisaac.faculty.asu.edu/disted/week2/7focuslj.html
27. Kuh, G.D. (2003).What we're learning about student engagement from NSSE. Change, 35, 24-31.
28. Lane, L.M. (2009). Insidious pedagogy: How course management systems affect teaching. Available: http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2530/2303
29. Lockyer, L., Heathcote, E., & Dawson, S. (2013). Informing pedagogical action: Aligning learning analytics with learning design. American Behavioral Scientist, 1-21.
30. Long, P., & Siemens, G. (2011). Penetrating the fog: Analytics in learning and education. EDUCAUSE Review, 46(5), 31-40.
31. Macfadyen, L.P., & Dawson, S. (2010). Mining LMS data to develop an "early warning system" for educators: A proof of concept. Computers and Education, 54(2), 588-599.
32. Marks, R.B., Sibley, S.D., & Arbaugh, J.B. (2005). A structural equation model of predictors for effective online learning. Journal of Management Education, 29 (4), 531-563.
33. Morris, L.V., Finnegan, C., &Wu, S. -S. (2005). Tracking student behavior, persistence, and achievement in online courses. Internet and Higher Education, 8, 221-231.
34. National Survey of Student Engagement (NSSE) (2003). Converting data into action: Expanding the boundaries of institutional improvement: National Survey of Student Engagement 2003 annual report. Bloomington: Indiana University.
35. Nelson Laird, T.F., & Kuh, G.D. (2005). Student experiences with information technology and their relationship to other aspects of student engagement. Research in Higher Education, 46(2), 211-233.
36. Phillips, R.A., Preston, G., Roberts, P., Cumming-Potvin, W., Herrington, J., & Maor, D. (2010). Using academic analytic tools to investigate studying behaviours in technology-supported learning environments. In C.H. Steel, M.J. Keppell, P. Gerbic, & S. Housego (Eds.), Curriculum, technology & transformation for an unknown future. Proceedings ascilite Sydney 2010 (pp. 761-771).
37. Rahman, N., & Dron, J. (2012). Challenges and opportunities for learning analytics when formal teaching meets social spaces. Proceedings of the 2nd International Conference on Learning Analytics and Knowledge. Vancouver, BC, Country (pp. 54-58).
38. Ramsden, P. (1992). Learning to teach in higher education. London: Routledge.
39. Richardson, J.C., & Newby, T. (2006). The role of students' cognitive engagement in online learning. American Journal of Distance Education, 20(1), 23-37.
40. Robinson, C.C., & Hullinger, H. (2008). New benchmarks in higher education: Student engagement in online learning. Journal of Education for Business, 84(2), 101-108.
41. Shea, P., Li, C.S., & Pickett, A. (2006). A study of teaching presence and student sense of learning community in fully online and web-enhanced college courses. The Internet and Higher Education, 9(3), 175-190.
42. Smith, V.C., Lange, A., & Huston, D.R. (2012). Predictive modeling to forecast student outcomes and drive effective interventions in online community college courses. Journal of Asynchronous Learning Networks, 16(3), 51-61.
43. Smith, K.A., Sheppard, S.D., Johnson, D.W., & Johnson, R.T. (2005). Pedagogies of engagement: Classroom-based practices. Journal of Engineering Education, 1, 87-101.
44. Sun, J.C. -Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191-204.
45. Wise, A.F., Zhao, Y., & Hausknecht, S.N. (2013). Learning analytics for online discussions: A pedagogical model for intervention with embedded and extracted analytics. Proceedings of the 3nd International Conference on Learning Analytics and Knowledge, Leuven, Belgium (pp. 48-56).