Addressing learner issues with StepUp!: An evaluation

ACM International Conference Proceeding Series

Volumn , Issue , 2013, Pages 14-22

  Santos, Jose Luis ^a   Verbert, Katrien ^a   Govaerts, Sten ^a   Duval, Erik ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

design based research; evaluation; learning analytics; reflection; visualization

Indexed keywords

BRAINSTORMING SESSIONS; DESIGN-BASED RESEARCH; EVALUATION; EVALUATION STUDY; LEARNING ANALYTICS; SELF REFLECTION; SENSEMAKING;

FLOW VISUALIZATION; REFLECTION; RESEARCH;

STUDENTS;

EID: 84876480347     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2460296.2460301     Document Type: Conference Paper

References (42)

1. Ali, L., Hatala, M., Gašević, D., & Jovanović, J. A qualitative evaluation of evolution of a learning analytics tool. Computers and Education, 58(1), 470-489. 2012
2. Arnold, K. E. & Pistilli, M.D. (2012). Course signals at Purdue: using learning analytics to increase student success. In S.B. Shum, D. Gasevic, and R. Ferguson (Eds.)Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12),(pp. 267-270). NY: ACM
3. Baillie, C. Motivation and attrition in engineering students, Geraldine Fitzgerald European Journal of Engineering Education Vol. 25, Iss. 2, 2000
4. Bangor, A., Kortum, P.T., Miller, J.T.: An empirical evaluation of the system usability scale. Int. J. Hum. Comput. Interaction (2008) 574-594
5. Barber,R., Sharkey,M. Course correction: using analytics to predict course success. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12), 2012
6. Parra, G., Klerkx, J., Duval, E. What Should I Read Next? Awareness of Relevant Publications Through a Community of Practice. In SIGCHI '13 Case Studies. Accepted.
7. Blikstein, P. Using learning analytics to assess students' behavior in open-ended programming tasks. In Proceedings of the Learning Analytics and Knowledge conferencd (LAK11), 2011Brooke, J. SUS: A quick and dirty usability scale. In: Usability Evaluation in Industry. Taylor & Francis, London, 1996.
8. Conole, G., Fill, K. (2005). A learning design toolkit to create pedagogically effective learning activities. Journal of Interactive Media in Education 2005(08).
9. Dawson, S., Bakharia, A., & Heathcote, E. SNAPP: Realising the affordances of real-time SNA within networked learning environments. In L. Dirckinck- Holmfeld, V. Hodgson, C. Jones, M. de Laat, D. McConnell, & T. Ryberg (Eds.), Proceedings of the 7th International Conference on Networked Learning (pp. 125-133) 2010
10. Dollár, A., Steif, P. S. Web-based Statics Course with Learning Dashboard for Instructors. In Uskov, V. (Ed.), Proceedings of Computers and Advanced Technology in Education (CATE 2012), June 25 - 27, 2012, Napoli, Italy. 2012
11. Duval, E.: Attention please! learning analytics for visualization and recommendation. In: Proceedings of LAK11: 1st International Conference on Learning Analytics and Knowledge, ACM (2011) 9-17
12. Duval, E., Klerkx, J., Verbert, K., Nagel, T., Govaerts, S., Parra Chico, G.A., Santos, J.L., Vandeputte, B.: Learning dashboards and learnscapes. In: Educational Interfaces, Software, and Technology, (May 2012) 1-5
13. Essa, A., Ayad, H. Student success system: risk analytics and data visualization using ensembles of predictive models. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12), 2012
14. Ferguson, R., Buckingham, S. Shum. Social learning analytics: five approaches. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12) 2012.
15. Fischer, G.: Understanding, fostering, and supporting cultures of participation. interactions 18(3) (May 2011) 42- 53
16. France, L., Heraud, J.-M., Marty, J.-C., Carron, T., & Heili, J. Monitoring Virtual Classroom: Visualization Techniques to Observe Student Activities in an e-Learning System. Proceedings of the Sixth International Conference on Advanced Learning Technologies, (pp.716-720). 2006
17. García-Solórzano,D., Cobo, G., Santamaría, E., Morán, J.A., Monzo, C., Melenchón,J. Educational monitoring tool based on faceted browsing and data portraits. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12). 2012
18. Govaerts, S., Verbert, K., Duval, E., & Pardo, A. The Student Activity Meter for Awareness and Self-reflection. Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems Extended Abstracts (pp. 869- 884). ACM. 2012
19. Kerly, A., Ellis, R. & Bull, S. CALMsystem: A Conversational Agent for Learner Modelling, in R. Ellis, T. Allen & M. Petridis (eds), Applications and Innovations in Intelligent Systems XV - Proceedings of AI-2007, 27th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 89-102). Springer Verlag. 2007
20. Killen, R., Differences between students' and lecturers' perceptions of factors inuencing students' academic success at university. Higher Education Research and Development, 13, 199. 1994 (Pubitemid 24840021)
21. Kobsa, E., Dimitrova, V., & Boyle, R. Using student and group models to support teachers in web-based distance education. Proc. of the 10th international conference on user modeling (pp. 124-133). Edinburgh, UK. 2005
22. Lafford, B. A. Review of Tell Me More Spanish, Journal on Language Learning & Technology, 8(3), 21-34. 2004
23. Leony,D., Pardo,A., Fuente,L, Sánchez,D., Delgado,C. GLASS: a learning analytics visualization tool. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12), 2012
24. Lockyer,L.,Dawson, S. Where learning analytics meets learning design. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12). 2012
25. Mazza, R., & Milani, C. (2004). GISMO : a Graphical Interactive Student Monitoring Tool for Course Management Systems. TEL'04 Technology Enhanced Learning '04 International Conference (pp. 1-8). Citeseer
26. Niemann, K., Schmitz, H-C, Kirschenmann, U., Wolpers,M. Anna Schmidt, and Tim Krones. Clustering by usage: higher order co-occurrences of learning objects. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12) 2012
27. Pardo,A., Kloos, C. Stepping out of the box towards analytics outside the learning management system. In Proceedings of the Learning Analytics and Knowledge conference (LAK11), 2011
28. Podgorelec, V. & Kuhar, S. Taking Advantage of Education Data: Advanced Data Analysis and Reporting in Virtual Learning Environments. Electronics and Electrical Engineering, 114(8), 111-116.
29. Richards, G.,DeVries, I. Revisiting formative evaluation: Dynamic monitoring for the improvement of learning activity design and delivery. In Proceedings of the Learning Analytics and Knowledge conference (LAK11), 2011
30. Roijers, D.M., Jeuring, J., Feelders, A. Probability estimation and a competence model for rule based e-tutoring systems. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12), 2012
31. Santos, J.L., Verbert, K., Govaerts, S., Duval, E. Empowering students to reflect on their activity with StepUp!: Two case studies with engineering students, In proceedings of EFEPLE11 2nd Workshop on Awareness and Reflection in Technology-Enhanced Learning, CEUR WS (2012) (accepted)
32. Santos, J.L., Govaerts, S., Verbert, K., Duval, E.: Goaloriented visualizations of activity tracking: a case study with engineering students. In: LAK12: International Conference on Learning Analytics and Knowledge, Vancouver, Canada, 29 April - 2 May 2012, ACM (May 2012)
33. Schreurs,B., De Laat, M. Network awareness tool - learning analytics in the workplace: detecting and analyzing informal workplace learning. In Proceedings of the 2nd International Conference on Learning Analytics and Knowledge (LAK '12). 2012
34. Silius, K., Miilumaki, T., Huhtamaki, J., Tebest, T., Merilainen, J., & Pohjolainen, S. Students' Motivations for Social Media Enhanced Studying and Learning. Knowledge Management & E-Learning: An International Journal (KM&EL), 2(1). 51-67. 2010
35. Tufte, E.R.: Beautiful Evidence. Graphics Press (2006)
36. Upton, K., Kay, J. Narcissus: Group and individual models to support small group work. In Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH, UMAP '09, pages 54- 65,Berlin, Heidelberg, 2009. Springer-Verlag, 2009
37. Verbert, K., Manouselis, N., Drachsler, H., Duval, E.: Dataset-driven research to support learning and knowledge analytics. Educational Technology and Society (2012) 1-21
38. Verbert,K., Drachsler, H., Manouselis, N., Wolpers, M., Vuorikari, R., Duval,E. Dataset-driven research for improving recommender systems for learning. In Proceedings of the Learning Analytics and Knowledge conference (LAK11), 2011
39. Wenger, E.: Communities of Practice: Learning, Meaning, and Identity (Learning in Doing: Social, Cognitive and Computational Perspectives). 1 edn. Cambridge University Press (September 1999)
40. Yacef, K., Zaïane, O., Hershkovitz, H., Yudelson, M., and Stamper, J. (eds.) Proceedings of the 5th International Conference on Educational Data Mining. 2012
41. Zinn, C., Scheuer, O. How did the e-learning session go? The Student Inspector. In In Luckin, R., Koedinger, K.R., & Greer, J. (Eds.) Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (pp. 487-494). IOS Press: Amsterdam, The Netherlands (2007)
42. Williams, K., Williams, C. Five key ingredients for improving student motivation (2011) Vol. 12. (pp. 1-23) Research in Higher Education Journal