Learning analytics and serious games: Trends and considerations

SeriousGames 2014 - Proceedings of the 2014 ACM International Workshop on Serious Games, Workshop of MM 2014

Volumn , Issue , 2014, Pages 21-26

  Shoukry, Laila ^a   Göbel, Stefan ^a   Steinmetz, Ralf ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Game based learning; Learning analytics; Serious games

Indexed keywords

BEST PRACTICES; CURRENT STATUS; GAME-BASED LEARNING; GAMEPLAY; INTEGRATION PROCESS; LEARNING ANALYTICS;

SERIOUS GAMES;

EID: 84916624079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2656719.2656729     Document Type: Conference Paper

References (50)

1. http://www.zoodles.com.
2. http://www.google.com/analytics.
3. http://piwik.org/.
4. http://secondlife.com/.
5. http://opensimulator.org/.
6. N. R. Aljohani and H. C. Davis. Learning analytics in mobile and ubiquitous learning environments. In 11th World Conference on Mobile and Contextual Learning: mLearn 2012, Helsinki, Finland, 2012.
7. R. S. J. D. Baker and K. Yacef. The State of Educational Data Mining in 2009 : A Review and Future Visions. 1(1):3{16, 2009.
8. P. Blikstein. Multimodal learning analytics. Proceedings of the Third International Conference on Learning Analytics and Knowledge - LAK '13, page 102, 2013.
9. S. Bull, Y. C. Y. Cui, a.T. McEvoy, E. Reid, and W. Y. W. Yang. Roles for mobile learner models. The 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004. Proceedings., pages 124{128, 2004.
10. S. Bull and J. Kay. Open learner models. In Advances in Intelligent Tutoring Systems, pages 301{322. Springer, 2010.
11. G. K. Chung and D. S. Kerr. A Primer on Data Logging to Support Extraction of Meaningful Information from Educational Games: An Example from Save Patch. CRESST Report 814. National Center for Research on Evaluation, Standards, and Student Testing (CRESST), page 27, 2012.
12. A. Cooper. Learning Analytics Interoperability - The Big Picture In Brief. Learning Analytics Community Exchange, 2014.
13. E. Duval. Attention Please!: Learning Analytics for Visualization and Recommendation. LAK '11, pages 9{17, New York, NY, USA, 2011. ACM.
14. A. Dyckho and D. Zielke. Design and Implementation of a Learning Analytics Toolkit for Teachers. Journal of . . ., 15:58{76, 2012.
15. G. Dyke, K. Lund, and J.-J. Girardot. Tatiana: An Environment to Support the CSCL Analysis Process. In Proceedings of the 9th International Conference on Computer Supported Collaborative Learning - Volume 1, CSCL'09, pages 58{67. International Society of the Learning Sciences, 2009.
16. B. M. Eun, Young Ha, Jonathan Rowe and J. Lester. Recognizing Player Goals in Open-Ended Digital Games with Markov Logic Networks. Plan, Activity and Intent Recognition: Theory and Practice, 2014.
17. J.-C. Falmagne, D. Albert, C. Doble, D. Eppstein, and X. Hu. Knowledge Spaces: Applications in Education. Springer Science & Business, 2013.
18. I. Garcia, A. Duran, and M. Castro. Comparing the effectiveness of evaluating practical capabilities through hands-on on-line exercises versus conventional methods. In Frontiers in Education Conference, 2008. FIE 2008. 38th Annual, pages F4H18{F4H22, Oct 2008.
19. S. Gobel, M. Gutjahr, and S. Hardy. Evaluation of Serious Games. Serious Games and Virtual Worlds in Education, Professional Development, and Healthcare, page 105, 2013.
20. S. Gobel, V. Wendel, C. Ritter, and R. Steinmetz. Personalized, adaptive digital educational games using narrative game-based learning objects. pages 438{445. Springer, 2010.
21. S. L. . B. H. Jan Plass. Assessment mechanics: design of learning activities that produce meaningful data. New York University, CREATE Lab, Apr. 2013.
22. K. E. B. E. W. Joseph, Grafsgaard Joseph Wiggins and J. Lester. Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue. In Seventh International Conference on Educational Data Mining, 2014.
23. D. S. Kerr and G. K. W. K. Chung. Using Cluster Analysis to Extend Usability Testing to Instructional Content. CRESST Report 816. National Center for Research on Evaluation, Standards, and Student Testing (CRESST), May 2012.
24. M. D. Kickmeier-Rust and D. Albert. An Alien's Guide to Multi-Adaptive Educational Computer Games. Informing Science, 2012.
25. M. D. Kickmeier-Rust and D. Albert. Learning analytics to support the use of virtual worlds in the classroom. In Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, pages 358{365. Springer, 2013.
26. K. R. Koedinger, R. Baker, K. Cunningham, A. Skogsholm, B. Leber, and J. Stamper. A data repository for the EDM community: The PSLC Data Shop. Handbook of educational data mining, pages 43{55, 2010.
27. J. Konert, K. Richter, F. Mehm, S. Gobel, R. Bruder, and R. Steinmetz. Pedale - A peer education diagnostic and learning environment. Journal of Educational Technology & Society, 2012.
28. K. Korossy. Modeling knowledge as competence and performance. Knowledge spaces: Theories, empirical research, and applications, pages 103{132, 1999.
29. J. Lester, B. Mott, J. Rowe, and J. Sabourin. {learner modeling to predict real-time affect in serious games. Design Recommendations for Intelligent Tutoring Systems, page 201, 2013.
30. S. M. Letourneau. Intensive data at CREATE - Research approaches & future directions. In Simulations and Games Learning Analytics and Data Mining Workshop, 2013.
31. R. Levy. Dynamic Bayesian Network Modeling of Game Based Diagnostic Assessments. CRESST Report, 2014.
32. C. Martin, O. Galibert, M. Michel, F. Mougin, and V. Stanford. NIST Smart Flow System User's guide.
33. M. Minovic and M. Milovanovic. Real-time learning analytics in educational games. pages 245{251. ACM, 2013.
34. R. J. Mislevy, R. G. Almond, and J. F. Lukas. A brief introduction to evidence-centered design. cse report 632. US Department of Education, 2004.
35. A. Mitrovic and B. Martin. Evaluating the effect of open student models on self-assessment. International Journal of Artificial Intelligence in Education, 17(2):121{144, 2007.
36. A. Morrison, P. Tennent, and M. Chalmers. Coordinated visualisation of video and system log data. In Coordinated and Multiple Views in Exploratory Visualization, 2006. Proceedings. International Conference on, pages 91{102. IEEE, 2006.
37. K. Nurmela, E. Lehtinen, and T. Palonen. Evaluating CSCL log les by social network analysis. In Proceedings of the 1999 conference on Computer support for collaborative learning, page 54. International Society of the Learning Sciences, 1999.
38. H. Ogata, M. Li, B. Hou, N. Uosaki, M. M. El-Bishouty, and Y. Yano. SCROLL: Supporting to share and reuse ubiquitous learning log in the context of language learning. Research & Practice in Technology Enhanced Learning, 6(2), 2011.
39. S. Oviatt, A. Cohen, and N. Weibel. Multimodal learning analytics: Description of math data corpus for icmi grand challenge workshop. In Proceedings of the 15th ACM on International conference on multimodal interaction, pages 563{568. ACM, 2013.
40. J. L. Plass, B. D. Homer, C. K. Kinzer, Y. K. Chang, J. Frye, W. Kaczetow, K. Isbister, and K. Perlin. Metrics in Simulations and Games for Learning. In Game Analytics, pages 697{729. Springer, 2013.
41. M. Prensky. Computer games and learning: Digital game-based learning. Handbook of computer game studies, 18:97{122, 2005.
42. C. Reuter, F. Mehm, S. Gobel, and R. Steinmetz. Evaluation of Adaptive Serious Games using Playtraces and Aggre gated Play Data. Proceedings of the 7th European Conference on Game Based Learning (ECGBL) 2013, (October):504{511, 2013.
43. A. Serrano, E. J. Marchiori, A. del Blanco, J. Torrente, and B. Fernandez-Manjon. A framework to improve evaluation in educational games. In Global Engineering Education Conference (EDUCON), 2012 IEEE, pages 1{8. IEEE, 2012.
44. A. Serrano-Laguna, J. Torrente, P. Moreno-Ger, and B. Fernandez-Manjon. Application of learning analytics in educational videogames. Entertainment Computing, 2014.
45. V. J. Shute, M. Ventura, M. Bauer, and D. Zapata-Rivera. Melding the power of serious games and embedded assessment to monitor and foster learning. Serious games: Mechanisms and effects, pages 295{321, 2009.
46. G. Siemens and R. S. J. Baker. Learning Analytics and Educational Data Mining: Towards Communication and Collaboration. 2010.
47. K. K. Tatsuoka. Architecture of knowledge structures and cognitive diagnosis: A statistical pattern recognition and classification approach. Cognitively diagnostic assessment, pages 327{359, 1995.
48. T. P. Vendlinski, G. C. Delacruz, R. E. Buschang, G. Chung, and E. L. Baker. Developing high-quality assessments that align with instructional video games (CRESST Report 774). . National Center for Research on Evaluation, Standards, and Student Testing, 2010.
49. A. V. Wallop. Althea Vail Wallop CS 229 Final Project Report Learning to Predict Disengagement in Educational iPad Application. pages 1{5, 2010.
50. J.-D. Zapata-Rivera and J. E. Greer. Interacting with inspectable bayesian student models. International Journal of Artificial Intelligence in Education, 14(2):127{163, 2004.