An Intelligent Evaluation Framework for Personalized Learning

Abstract

Testing has been demonstrated to be an effective strategy to promote retention of knowledge and improve students’ self-regulated learning skills. However, the integration of retrieval practice into an actual curriculum still remains challenges. In this paper, we propose an intelligent evaluation framework to address the tasks of question generation and test item selection to facilitate repeated testing. The results of this research can be used to motivate more instructors to involve testing in their teaching approaches.