What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling

摘要: One of the original goals intelligent educational systems was to guide each student most appropriate content. In previous studies, we explored both knowledge-based and social guidance approaches learned that has a weak side. present work, have idea combining with more traditional in hopes supporting optimal content navigation. We propose greedy sequencing approach aimed at maximizing student’s level knowledge implemented it context an open modeling interface. performed classroom study examine impact this combined approach. The results our show positively affected students’ navigation, increased speed learning for strong students, improved overall performance within system through end-of-course assessments.