Student Modeling for an Intelligent Agent in a Collaborative Learning Environment

We present an application of student modeling in support of individual learning and group collaboration. The design is based on an empirical analysis of collaborative dialogs collected in earlier work. During use, student modeling data will be acquired not only from learners’ graphical user interface actions but also from their text chat by using keywords and speech acts. An agent in the collaborative learning environment will promote deliberative discussion and individual learning based on these group and student models.