Learning analytics as a metacognitive tool

CSEDU 2014 - Proceedings of the 6th International Conference on Computer Supported Education

Volumn 1, Issue , 2014, Pages 380-384

  Durall, Eva ^a   Gros, Begoña ^b  

^a AALTO UNIVERSITY   (Finland)

^b UNIVERSITY OF BARCELONA   (Spain)

Author keywords

Educational data mining; Learning analytics; Self directed learning; Self regulated learning

Indexed keywords

DATA MINING; STUDENTS;

EDUCATIONAL DATA MINING; EDUCATIONAL INSTITUTIONS; LEARNING ANALYTICS; META-COGNITIVE TOOLS; METACOGNITIVE SKILLS; SELF-DIRECTED LEARNING; SELF-REGULATED LEARNING; SUPPORT LEARNING;

E-LEARNING;

EID: 84902312209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0004933203800384     Document Type: Conference Paper

References (27)

1. Bartolomé, A. & Steffens, K., 2011. Technologies for selfregulated learning. In R. Carneiro, P. Lefrere, K. Steffens and Underwood, J. (Eds) Self-regulated Learning in Technology Enhanced Learning Environments: A European Review. Rotterdam: Sense Publishers.
2. Bull, S., & Kay, J. (2008, June). Metacognition and open learner models. In The 3rd Workshop on Meta-Cognition and Self-Regulated Learning in Educational Technologies, at ITS2008 (pp. 7-20).
3. Clow, D., 2012. The learning analytics cycle: closing the loop effectively. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 134-138). ACM.
4. Durall, E., & Toikkanen, T., 2013. Feeler: feel good and learn better. A tool for promoting reflection about learning and Well-being. In Proceedings of the 3rd Workshop on Awareness and Reflection in Technology-Enhanced Learning (pp. 83-89). CEUR.
5. Duval, E., 2011. Attention please!: learning analytics for visualization and recommendation. In Proceedings of the 1st International Conference on Learning Analytics and Knowledge (pp. 9-17). ACM.
6. Govaerts, S., Verbert, K., Klerkx, J., & Duval, E., 2010. Visualizing activities for self-reflection and awareness. In Advances in Web-Based Learning-ICWL 2010 (pp. 91-100). Berlin: Springer.
7. Haddadi, H., Mortier, R., McAuley, D., Crowcroft, J., 2013. Human-Data Interaction. Technical Report, 837.
8. Cambridge: University of Cambridge, Computer Laboratory. van Harmelen, M., & Workman, D., 2012. Analytics for Learning and Teaching. CETIS Analytics Series, 1(3).
9. Heer, J., Agrawala, M., 2008. Design considerations for collaborative visual analytics. Information Visualization, 7, 49-62.
10. Knight, S.; Shum, S.; Littleton, K., 2013. Collaborative sensemaking in learning analytics. In: CSCW and Education Workshop (2013): Viewing education as a site of work practice, co-located with the 16th ACM Conference on Computer Support Cooperative Work and Social Computing (CSCW 2013), 23 February 2013, San Antonio, Texas.
11. Kolb, D. A., 1984. Experiential Learning: Experience as the source of learning and development (Vol. 1). Englewood Cliffs, NJ: Prentice-Hall.
12. Kruse, A., & Pongsajapan, R., 2012. Student-centered learning analytics. Retrieved December 11, 2013 from https://cndls. georgetown. edu/m/documents/thoughtpap er-krusepongsajapan. pdf.
13. Kump, B., Seifert, C., Beham, G., Lindstaedt, S. N., & Ley, T., 2012. Seeing what the system thinks you know: visualizing evidence in an open learner model. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 153-157). ACM.
14. Li, I., Dey, A., & Forlizzi, J., 2010. A stage-based model of personal informatics systems. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 557-566). ACM.
15. Li, I., Dey, A. K., & Forlizzi, J., 2011. Understanding my data, myself: supporting self-reflection with ubicomp technologies. In Proceedings of the 13th international conference on Ubiquitous computing (pp. 405-414). ACM.
16. Loyens, S. M. M., Magda, J. & Rikers, R. M. J. P., 2008. Self-Directed Learning in Problem-Based Learning and its Relationships with Self-Regulated Learning. EducPsychol Rev, 20, 411-427.
17. Pilling-Cormick, J., & Garrison, D. R., 2007. Self-directed and self-regulated learning: Conceptual links. Canadian Journal of University Continuing Education, 33(2), 13-33.
18. Santos, J. L., Govaerts, S., Verbert, K., & Duval, E., 2012. Goal-oriented visualizations of activity tracking: a case study with engineering students. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 143-152). ACM.
19. Schmitz, H. C., Scheffel, M., Friedrich, M., Jahn, M., Niemann, K., & Wolpers, M., 2009. CAMera for PLE. In Learning in the Synergy of Multiple Disciplines (pp. 507-520). Berlin: Springer.
20. Siemens, G., & Baker, R. S. D., 2012. Learning analytics and educational data mining: Towards communication and collaboration. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (pp. 252-254). ACM.
21. Slade, S., & Prinsloo, P., 2013. Learning analytics: ethical issues and dilemmas. American Behavioral Scientist, In-Press.
22. Society for Learning Analytics. 2013. Retrieved December 11, 2013 from http://www. solaresearch. org/mission/ about/
23. Tan, S. C., Divaharan, S., Tan, L., & Cheah, H. M., 2011. Self-directed learning with ICT: Theory, Practice and Assessment. Singapore: Ministry of Education.
24. Tufte, E. R., 1990. Envisioning Information. Cheshire, Connecticut: Graphic Press.
25. Tufte, E. R., 1997. Visual Explanations. Images and Quantities, Evidence and Narrative. Cheshire, Connecticut: Graphic Press.
26. Zhang, H., Almeroth, K., Knight, A., Bulger, M. & Mayer, R., 2007. Moodog: Tracking students' online learning activities. In World Conference on Educational Multimedia, Hypermedia and Telecommunications (Vol. 2007, No. 1, pp. 4415-4422).
27. Zimmerman, B. J., 1989. A social cognitive view of selfregulated academic learning. Journal of Educational Psychology, 81, 329-339.