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Published at November 4

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling

cs.LG

cs.AI

Released Date: November 4, 2024

Authors: Weibo Gao¹, Qi Liu², Linan Yue¹, Fangzhou Yao¹, Hao Wang¹, Yin Gu¹, Zheng Zhang¹

Aff.: ¹State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China; ²State Key Laboratory of Cognitive Intelligence, University of Science and Technology of China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center

Arxiv: http://arxiv.org/abs/2411.02066v1

Dataset	Method	Metric
Dataset	Method	ACC $\uparrow$	AUC $\uparrow$	F1-score $\uparrow$	RMSE $\downarrow$
ASSIST	IRT	69.36	69.81	78.14	45.61
	MIRT	71.26	72.59	79.80	44.50
	PMF	71.34	72.27	80.68	48.67
	NCDM	72.27	74.27	79.97	48.67
	KaNCD	72.43	75.38	80.22	48.67
	RCD	72.04	73.14	80.60	43.74
	DCD	70.33	73.98	79.09	43.94
	Coral	${71.53}$	${74.72}$	81.16	43.66
Junyi	IRT	79.26	76.46	87.54	38.38
	MIRT	77.74	74.46	86.05	40.29
	PMF	79.65	77.17	88.18	44.10
	NCDM	79.91	78.91	87.73	38.35
	KaNCD	81.79	80.93	89.02	36.11
	RCD	81.02	80.22	88.00	37.23
	DCD	79.29	79.55	87.62	37.83
	Coral	$81.15$	80.94	89.12	36.08
NeurIPS2020EC	IRT	70.11	75.60	71.59	44.68
	MIRT	69.95	75.52	71.24	45.51
	PMF	69.85	75.39	72.62	48.33
	NCDM	71.66	78.57	71.36	43.21
	KaNCD	71.28	77.60	72.50	43.71
	RCD	70.43	77.25	72.64	44.01
	DCD	71.53	75.63	71.13	45.60
	Coral	71.72	78.88	72.82	43.20