If you area interested in technology, psychology, and education, you might also be interested in the 14th International Conference on Artificial Intelligence in Education.
From the conference website:
"AIED 09 will focus on the theme "Building Learning Systems that Care: From Knowledge Representation to Affective Modeling". This extends an AIED vision proposed some 20 years ago by John Self. The field has moved a long way since then. It is now widely accepted that effective learning environments are expected to care about both learners and tutors, and to have a good understanding of the variety of learning contexts. The key research question now is how to tackle the complex issues related to building learning systems that care, ranging from representing knowledge and context to modeling social, cognitive, metacognitive, and affective dimensions. This requires linking theory and technology from artificial intelligence, cognitive science, and computer science with theory and practice from education and social science."
The Proceedings will be published by IOS Press in the Frontiers in Artificial Intelligence and Application series.
Via Genaro Rebolledo Menez, from the EDM (Educational Data Mining) listserv
Educational Data Mining Resources from the EDM website:
Carnegie Mellon University's PROJECT Listen has released the Bayes Net Toolkit for Student Modeling, a system which makes it easier to useBayes Nets and Bayesian Knowledge-Tracing to model student data.
The Pittsburgh Science of Learning Center offers DataShop, a system which you can use to conduct learning curve analysis on educational data.