TY - GEN
T1 - QuizMaster
T2 - 20th International Conference on Generative Intelligence and Intelligent Tutoring Systems, ITS 2024
AU - Lin, Fuhua
AU - Morland, Raymond
AU - Yan, Hongxin
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - In this paper, we introduce QuizMaster, an innovative web-based adaptive learning system designed for conducting formative assessment on-demand anytime during students’ course study. QuizMaster reduces learner time spent on assessment and accelerates formative feedback delivery. Leveraging a Multi-Armed Bandit algorithm for question sequencing and feedback, it ensures intelligent assessment processes. Additionally, we employ Large Language Models to auto-generate questions, enhancing instructor productivity. When deployed, QuizMaster will serve to assess adaptive algorithms for formative assessment in real-world learning scenarios. Through our detailed analysis of the QuizMaster architecture, we demonstrate how to leverage reinforcement learning and generative intelligence in the development of systems for formative assessment.
AB - In this paper, we introduce QuizMaster, an innovative web-based adaptive learning system designed for conducting formative assessment on-demand anytime during students’ course study. QuizMaster reduces learner time spent on assessment and accelerates formative feedback delivery. Leveraging a Multi-Armed Bandit algorithm for question sequencing and feedback, it ensures intelligent assessment processes. Additionally, we employ Large Language Models to auto-generate questions, enhancing instructor productivity. When deployed, QuizMaster will serve to assess adaptive algorithms for formative assessment in real-world learning scenarios. Through our detailed analysis of the QuizMaster architecture, we demonstrate how to leverage reinforcement learning and generative intelligence in the development of systems for formative assessment.
KW - Adaptive Learning Systems
KW - Formative Assessment
KW - Generative Intelligence
KW - Intelligent Tutoring Systems
KW - Multi-armed Bandits
KW - Personalized Learning
KW - Reinforcement Learning
UR - http://www.scopus.com/inward/record.url?scp=85195872431&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-63028-6_5
DO - 10.1007/978-3-031-63028-6_5
M3 - Published Conference contribution
AN - SCOPUS:85195872431
SN - 9783031630279
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 55
EP - 67
BT - Generative Intelligence and Intelligent Tutoring Systems - 20th International Conference, ITS 2024, Proceedings
A2 - Sifaleras, Angelo
A2 - Lin, Fuhua
Y2 - 10 June 2024 through 13 June 2024
ER -