Personalized Feedback in CAT
Anastasios A. Economides · 2005
Abstract:- Feedback can be generated by Computer Adaptive Testing (CAT) systems to support and enhance learning, self-awareness, self-regulation, and self-improvement. Feedback is more effective when it is personalized to each learner’s state. So, there is the question what feedback attributes would be adapted to each learner’s state in order to provide personalized feedback. This paper presents the feedback attributes that would be adapted to the learner’s state. In CAT, feedback would be generated before and after a question, problem or task is presented to the learner. This paper proposes various pre-question and after-the-question feedback types. These feedback types would be personalized to specific mind states of the learner. These include cognitive, emotional and conational feedback types. The proposed feedback attributes and personalized feedback types would be useful for analysts, designers, developers and evaluators of CAT systems to make appropriate decisions.