Question Review Model for Q&A systems

Abstract

This paper describes a review model for an on-line question and answer (Q&A) system whose objective is to personalize student's study review session in order to improve user conceptual proficiency and limit the number of necessary review questions based on individual and class performance data. The Question Review Model (QRM) structures study review for each user by prioritizing a list of critical concepts from which conceptually related questions are chosen based on their difficulty level. The model serves to identify a student's conceptual strengths and weaknesses to provide comprehensive feedback about student in-class performance and recommend the order of questions best suitable for practice. For each concept, a binary question tree is formed that enables, either the user or the system, to structure the review session with a trade-off between question difficulty and the number of questions necessary for conceptual mastery.