Adaptive MCQ Test Generation Based on Affective State Feedback

Authors

Kavita Kelkar
Sardar Patel Institute of Technology, Mumbai, India.

Dr. Jagdish Bakal
S S Jondhale College of Engineering, Dombivali, India.

Abstract

here is a great requirement that online learning should become personalized and adaptive. The paper proposes an adaptive MCQ test system which dynamically adapts to feedback of learner’s affective state during learn-ing process. Cognitive levels are associated with questions in the test. The affective states can be emotions like confidence or confusion.. The system identifies the affective state of the learner, adapts the further questions in the test series in accordance with this affective state. The confused learner will get easier questions and confident learner will get more difficult questions. This process will continue for the learning activity. Thus test system becomes adaptive.