Linguistic reflections of student engagement in massive open online courses

Proceedings of the 8th International Conference on Weblogs and Social Media, ICWSM 2014

Volumn , Issue , 2014, Pages 525-534

  Wen, Miaomiao ^a   Yang, Diyi ^a   Rosé, Carolyn Penstein ^a  

^a Language Technology Institute Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SOCIAL NETWORKING (ONLINE); STUDENTS;

FINE-GRAINED CONTENTS; LEARNING MATERIALS; MASSIVE OPEN ONLINE COURSE; METHODOLOGICAL CONTRIBUTIONS; ON-LINE COMMUNITIES; STUDENT ENGAGEMENT; STUDENT INTERACTIONS; STUDENT LEARNING;

E-LEARNING;

EID: 84909951147     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (49)

1. Adamson D. Dyke G. Jang H. J. Rose C. P. 2013. Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs. International Journal of AI in Education 24(1) pp91-121..
2. Belanger Y. and Thornton J 2013. Bioelectricity: A Quantitative Approach Duke Universitys First MOOC. Duke University.
3. Beukeboom C. J. Tanis M. and Vermeulen I. E. 2013. The Language of Extraversion Extraverted People Talk More Abstractly Introverts Are More Concrete. Journal of Language and Social Psychology 32(2) 191-201.
4. Beukeboom C. J. 2014. Mechanims of linguistic bias: How words reflect and maintain stereotypic expectancies. . Social Cognition and Communication 31 313-330.
5. Brinton C. G. Chiang M. Jain S. Lam H. Liu Z. and Wong F. M. F. 2013. Learning about social learning in MOOCs: From statistical analysis to generative model. arXiv preprint arXiv:1312.2159.
6. Carini R. M. Kuh G. D. and Klein S. P. 2006. Student engagement and student learning: Testing the linkages. Research in Higher Education 47(1) 1-32.
7. Cheng J. Kulkarni C. and Klemmer S. 2013. Tools for predicting drop-off in large online classes. In Proceedings of the 2013 conference on Computer supported cooperative work companion. ACM.
8. Chi M.T.H. 2000. Self-explaining expository texts: The dual processes of generating inferences and repairing mental models. . In R. Glaser (Ed) Advances in instructional psychology: Educational design and cognitive science (pp. 161-238).
9. Chi M.T.H. and Bassock M. 1989. Learning from examples via self-explanations. Knowing learning and instruction: Essays in honor of Robert Glaser (1989): 251-282.
10. Christensen G. A. Steinmetz B. Alcorn A. Bennet D. Woods and EJ Emmanuel 2013. The MOOC Phenomenom: Who Takes Massive Open Online Courses and Why?. University of Pennsylvania n.d. Web. 6 Dec. 2013 .
11. Clow Doug. 2013. MOOCs and the funnel of participation. Third International Conference on Learning Analytics and Knowledge. ACM .
12. Corno Lyn and Ellen B. Mandinach. 1983. The role of cognitive engagement in classroom learning and motivation. Educational psychologist 18(2): 88-108. .
13. DeBoer Jennifer G. S. Stump D. Seaton and Lori Breslow. 2013. Diversity in MOOC students backgrounds and behaviors in relationship to performance in 6.002 x. In Proceedings of the Sixth Learning International Networks Consortium Conference.
14. Dowson M. and McInerney D. M. 2003. What do students say about their motivational goals?: Towards a more complex and dynamic perspective on student motivation. Contemporary Educational Psychology 28(1) 91-113.
15. Esque T. and McCausland J. 1997. Taking ownership for transfer: A management development study case. Performance Improvement Quarterly 10 (2) 116-133.
16. Fahy P.J. Crawford G. and Ally M. 2001. Patterns of interaction in a computer conference transcript. International Review of Open and Distance Learning 2(1).
17. Fan R.-E. Chang K.-W. Hsieh C.-J. Wang X.-R. and Lin C.-J. 2008. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research (9).
18. Fuchs L.S. Fuchs D. Hamlett C. L. Phillips N. B. Karns K. and Dutka S. 1997. Enhancing students helping behavior during peer-medicated instruction with conceptual mathematical explanations. Elementary School Journal 97 223-249.
19. Garrison D. R. Anderson T. and Archer W. 1999. Critical inquiry in a text-based environment: Computer conferencing in higher education. The internet and higher education 2(2) 87-105..
20. Gillani Nabeel. 2013. Learner communications in massively open online course. OxCHEPS Occasional Paper 53
21. Girish Balakrishnan 2013. Predicting Student Retention in Massive Open Online Courses using Hidden Markov Models. EECS Department University of California Berkeley.
22. Graham S. & Golan S. 1991. Motivational influences on cognition: Task involvement ego involvement and depth of information processing. Journal of Educational Psychology 83:187-194.
23. Huang Jonathan Chris Piech Andy Nguyen Leonidas Guibas. 2013. Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC. In Proceedings of the 1stWorkshop on Massive Open Online Courses at the 16th Annual Conference on Artificial Intelligence in Education.
24. Keller J. and Suzuki K. 2004. Learner motivation and elearning design: A multinationally validated process. Journal of Educational Media 29(3) 229-239.
25. Kizilcec Ren F. Chris Piech and Emily Schneider 2013. Deconstructing disengagement: analyzing learner subpopulations in massive open online courses. In Proceedings of the Third International Conference on Learning Analytics and Knowledge. ACM.
26. Koch Gary G 1982. Intraclass correlation coefficient. In S. Kotz and N. L. Johnson (Eds) Encyclopedia of statistical sciences (pp.213-217).New York:John Wiley and Sons .
27. Koller Daphne Andrew Ng Chuong Do and Zhenghao Chen, 2013. Retention and Intention in Massive Open Online Courses. In Depth. Educause. N.p, 3
28. Liu Bing. Minqing Hu and Junsheng Cheng. 2005. Opinion Observer: analyzing and comparing opinions on the Web. In Proceedings of WWW pages 342-351..
29. Locke E. A. and Latham G. P. 2002. Building a practically useful theory of goal setting and task motivation. American Psychologist 57(9) 705-717.
30. Milligan C. Littlejohn A. and Margaryan A. 2013. Patterns of Engagement in Connectivist MOOCs. Journal of Online Learning and Teaching 9(2).
31. Moshinskie J. 2001. How to keep e-learners from escaping. Performance Improvement 40(6) 30-37.
32. Ng Evelyn and Carl Bereiter 1991. Three levels of goal orientation in learning. In Journal of the Learning Sciences 1.3-4.
33. Pennebaker J. W. and King L. A. 1999. Linguistic Styles: Language use as an individual difference. Journal of Personality and Social Psychology 77 1296-1312.
34. Poellhuber Bruno. Normand Roy Ibtihel Bouchoucha Jacques Raynauld Jean Talbot and Terry Anderso. 2013. The Relations between MOOCs Participants Motivational Profiles Engagement Profile and Persistence. In MRI Conference Arlington.
35. Ramesh Arti Dan Goldwasser Bert Huang Hal Daum III and Lise Getoor 2013. Modeling Learner Engagement in MOOCs using Probabilistic Soft Logic. In workshop of NIPS.
36. Rose C. Carlson D. Yang M. Wen L. Resnick P. Goldman and J. Sheerer. 2014. Social factors that contribute to attrition in moocs. In ACM Learning at Scale.
37. Roscoe R. D. and Chi M. T. H. 2008. Tutor learning: The role of explaining and responding to questions. Instructional Science 36. pp. 321-350.
38. Ryan Richard M. and Edward L. Deci. 2000. Intrinsic and extrinsic motivations: Classic definitions and new directions. In Contemporary educational psychology 25.1 (2000): 54-67 .
39. Snow R. OConnor B. Jurafsky D. and Ng A. Y. 2008. Cheap and fast - but is it good? Evaluating non-expert annotations for natural language tasks. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 254-263).
40. Stoney C. and Oliver R. 1999. Can higher order thinking and cognitive engagement be enhanced with multimedia? Interactive Multimedia Electronic Journal of Computer- Enhanced Learning.
41. Stata Corporation, 2011. Stata Statistical Software Release 7.0: Programming. Stata Corporation
42. Sun T W. Chen Z. Liu Y. Wang X. Sun M. Zhang and C.-Y. Lin. 2011. Participation maximization based on social influence in online discussion forums. In Proceedings of ICWSM 2011.
43. Turney P. D. Neuman Y. Assaf D. and Cohen Y. 2011. Literal and metaphorical sense identification through concrete and abstract context. In Proceedings of the 2011 Conference on the Empirical Methods in Natural Language Processing (pp. 680-690) .
44. Vedder P. 1985. Cooperative learning: A study on processes and effects of cooperation between primary school children. Westerhaven Groningen: Rijkuniversiteit Groningen..
45. Wang Yi-Chia Robert Kraut and John M. Levine 2012. To stay or leave?: the relationship of emotional and informational support to commitment in online health support groups. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work. ACM.
46. Witten I. H. and Frank E. 2005. Data mining: Practical machine learning tools and techniques (2nd ed.) Elsevier.
47. Wittrock M. C. 1990. Generative processes of comprehension. Educational Psychologist 24 pp. 345-376. .
48. Yang D. Sinha T. Adamson D. and Rose C. P. 2013. "Turn on Tune in Drop out: Anticipating student dropouts in Massive Open Online Courses. In workshop of NIPS.
49. Zhu E. 2006. Interaction and cognitive engagement: An analysis of four asynchronous online discussions. Instructional Science 34(6) 451-480.