Adaptive Intelligence for Massive Online Open Course

This paper discusses the design for an intelligent and adaptive tutoring system offering pedagogical support that deviates from the traditional chalk and talk form of teaching for online courses. The design proposed utilizes the systems data to create models which recognizes when a user is struggling or falling behind. A novel method of assessing effectiveness of pedagogy using system interaction logs and MOOC data is put forward. The system also provides room for manual intervention by the course administrators in case of at-risk participants. Educational data mining and learning analytics techniques have been applied to understand user behavior and course effectiveness. The design proposed allows the system to personalize the learning experience and supports the instructor in administering the course to a huge number of participants.