Learner centered education is important both in point of face to face and Web based learning. Due to this importance, diagnosis of learning styles of students in web based or web enhanced educational settings is important as well. This paper presents prediction of learning styles by means of monitoring learner interface interactions. A mathematics course executed on a learning management system (Moodle) was monitored and learning styles of the learners were analyzed in point of active/reflective dimension of Felder and Silverman Learning Styles Model. The data from learner actions were analyzed through literature based automatic student modeling. The results from Index of Learning Styles and predicted learning styles were compared. For active/reflective dimension 79.6% precision was achieved.