Volume Two - Academic Conferences

Phelim Murnion and Markus Helfert
A limitation of the framework is that it is a perspective, a way of examining EDM research, which
requires further validation. In further research we aim to apply this framework within a live learning
situation. This will provide further insight into the validity of the framework and its utility in enabling
decision support in a LMS environment.
6. Appendix A
Table 3: Papers excluded from literature review (section three)
References
Paper Notes
(Baruque, Longo et al. 2007) Portuguese (Brasil)
(Castro, Vellido et al. 2005) Spanish
(Liu and Shih 2007) Does not meet criterion 4a
(Matsuda, N. et al. 2007) Wrong category (ITS)
Baker, R. and K. Yacef (2009). "The State of Educational Data Mining in 2009: A Review and Future Visions."
Journal of Educational Data Mining1(1): 3-17.
Baruque, C. B., C. J. Longo, et al. (2007). Analysing users' access logs in Moodle to improve e learning.
Proceedings of the 2007 Euro American conference on Telematics and information systems. Faro, Portugal,
ACM.
Berry, M. J. A. and G. S. Linoff (2004). Data Mining Techniques : For Marketing, Sales, and Customer
Relationship Management. Hoboken, NJ, USA, John Wiley & Sons, Incorporated.
Castro, F., A. Vellido, et al. (2005). Detecting atypical student behaviour on an e-learning system. Proc. Simposio
Nacional de Tecnologıas de la Informacion y las Comunicaciones en la Educacion, Granada, Spain.
Castro, F., A. Vellido, et al. (2007). Applying Data Mining Techniques to e-Learning Problems. Evolution of
Teaching and Learning Paradigms in Intelligent Environment. J. Kacprzyk, Springer Berlin Heidelberg. 62:
183-221.
Etchells, T. A., A. Nebot, et al. (2006). Learning what is important: Feature selection and rule extraction in a
virtual course. European Symposium on Artificial Neural Networks, Bruseles, Belgium.
García E., R. C., Ventura S., Calders T. (2007). Drawbacks and solutions of applying association rule mining in
learning management systems. International Workshop on Applying Data Mining in e-Learning 2007.
Gaudioso, E. and L. Talavera (2006). Data mining to support tutoring in virtual learning communities: experiences
and challenges. Data Mining in E-Learning. C. R. M. a. S. VENTURA. Cordoba, WITPress.
Green, K. C. (2010). The 2010 Campus Computing Survey. Campus Computing Survey.
Hofmann, M. and B. Tierney (2009). An Enhanced Data Mining Life Cycle. IEEE Symposium on Computational
Intelligence and Data Mining, CIDM 2009, Nashville, TN, USA, IEEE.
Janossy, J. H., T. (2008). Proposed Model for Evaluating C/LMS Faculty Usage in Higher Education Institutions.
Society for Information Technology & Teacher Education International Conference, Las Vegas, Nevada,
USA.
Jovanović, J., E. Duval, et al. (2007). LOCO-Analyst: A Tool for Raising Teachers’ Awareness in Online Learning
Environments. Creating New Learning Experiences on a Global Scale, Springer Berlin / Heidelberg. 4753:
112-126.
Klosgen, W., & Zytkow, J. (2002). Handbook of data mining and knowledge discovery. New York, Oxford
University Press.
Lavrac, N., Motoda, H., Fawcett, T., Holte, R., Langley, P. & Adriaans, P., (2004). "Lessons learned from data
mining applications and collaborative problem solving." Machine Learning57(1-2): 13-34.
Liber, O. (2003). "Cybernetics, eLearning and the education system." International Journal of Learning
Technology1(1): 127-140.
Liu, F.-j. and B.-j. Shih (2007). Learning Activity-Based E-Learning Material Recommendation System.
Multimedia Workshops, 2007. ISMW '07. Ninth IEEE International Symposium on.
Luo, O. R. Z. a. J. (2001). Towards Evaluating Learners’ Behaviour in a Web-Based Distance Learning
Environment. Proc. IEEE International Conference on Advanced
Learning Technologies (ICALT 2001),, Madison, WI,USA.
March, S. T. and A. R. Hevner (2007). "Integrated decision support systems: A data warehousing perspective."
Decision Support Systems43: 1031-1043.
Matsuda, C. N., et al. (2007). Predicting students performance with SimStudent that learns cognitive skills from
observation. International conference on Artificial Intelligence in Education, Amsterdan, Netherlands.
Muehlenbrock, M. (2005). Automatic Action Analysis in an Interactive Learning Environment. Workshop on
Usage Analysis in Learning Systems at AIED-2005, Amsterdam.
Pahl, C. (2006). Data Mining for the Analysis of Content Interaction in Web-based Learning and Training
Systems. Data Mining in E-Learning, WIT Press: 41-56.
Pam Arroway, E. D., Guangning Xu, Dan Updegrove (2010). EDUCAUSE Core Data Service Fiscal Year 2009
Summary Report. EDUCAUSE Core Data Service.
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