Improving Cognitive Diagnosis Models with Adaptive Relational Graph Neural Networks

arXiv:2403.05559v1 Announce Type: cross
Abstract: Cognitive Diagnosis (CD) algorithms receive growing research interest in intelligent education. Typically, these CD algorithms assist students by inferring their abilities (i.e., their proficiency levels on various knowledge concepts). The proficiency levels can enable further targeted skill training and personalized exercise recommendations, thereby promoting students' learning efficiency in online education. Recently, researchers have found that building and incorporating a student-exercise bipartite graph is beneficial for enhancing diagnostic performance. However, there are still limitations in their …

abstract algorithms arxiv cognitive concepts cs.cy cs.lg diagnosis education exercise graph graph neural networks intelligent knowledge networks neural networks personalized recommendations relational research students training type