IFSE - Personalized Quiz Generator and Intelligent Knowledge RecommendationXia Wang; Hong Li; Alexander Zimmermann; Niels Pinkwart; Silke Wrede; Lars van Rijn; Claudia De Witt; Birgit Baudach
In: 2022 IEEE 16th International Conference on Semantic Computing (ICSC). IEEE International Conference on Semantic Computing (ICSC-2022), January 26-28, Online, ISBN 978-1-6654-3419-5, IEEE, 2022.
This paper has presented an AI-based quiz sub-system that customizes personalized exercises for individual learners together with accurate instant feedback and knowledge recommendation after taking quizzes, eventually aiming to assist learners with self-regulated learning. A knowledge-based quiz generation algorithm and a set of intelligent feedback recom-mendation algorithms are proposed, which are designed for a large number of exercise materials from various courses to numerous students' self-learning and, generically, for all kinds of knowledge domains. Intelligent feedback for student exercise (IFSE) application has been developed and integrated into the Moodle learning management system in order to conduct field experiments and to be evaluated by university students.