Foundation model enhanced derivative-free cognitive diagnosis  

作　　者：Mingjia LI Hong QIAN Jinglan LV Mengliang HE Wei ZHANG Aimin ZHOU 

机构地区：[1]Shanghai Institute of AI for Education and School of Computer Science and Technology,East China Normal University,Shanghai 200062,China

出　　处：《Frontiers of Computer Science》2025年第1期163-165,共3页计算机科学前沿(英文版)

基　　金：supported by the National Natural Science Foundation of China(Grant No.62106076).

摘　　要：1 Introduction Cognitive diagnosis,aiming at inferring students’underlying cognitive states according to their response logs,is a fundamental approach to understanding and improving individual learning in intelligent education systems[1].In recent decades,many cognitive diagnosis models have been proposed.Item response theory(IRT)[2]proposes to utilize mathematical models to model the cognitive process of students responding to questions,where the students’proficiency(cognitive state)is simply represented as a scalar and the interaction between students and questions is modeled by a logistic function.

关 键 词：COGNITIVE DIAGNOSIS utilize 

分 类 号：H31[语言文字—英语]