[Retracted] Evaluation and Analysis of Assisted Instruction and Ability Improvement Based on Artificial Intelligence

Table 5

Summary of factor analysis results of measured questionnaire.

Subscale name	Cumulative interpretation rate	Factor name	Behavior realization	Factor load
Subscale 1: teaching cognitive ability	67.15%	Self-cognition	B1	0.832
			B2	0.8
			B3	0.793
			B4	0.771
		Student cognition	B5	0.895
			B6	0.732
			B7	0.725
Subscale 2: instructional design ability	60.73%	Teaching objectives	B8	0.613
			B9	0.881
			B11	0.661
		Teaching structure	B12	0.677
			B13	0.751
			B14	0.753
			B15	0.784
			B16	0.753
			B17	0.571
		Teaching method	B19	0.797
			B20	0.733
			B21	0.699
Subscale 3: teaching implementation ability	65.12%	Transmit teaching information	B22	0.721
			B23	0.789
			B24	0.587
		Stimulate interest in learning	B25	0.621
			B26	0.785
			B30	0.621
		Classroom regulation	B27	0.789
			B28	0.799
			B29	0.621
Subscale 4: teaching reflection ability	67.59%	Self-reflection	B31	0.543
			B32	0.912
		Reflection on teaching activities	B33	0.558
			B34	0.863
			B35	0.755
Subscale 5: teaching research ability	74.59%	Teaching theory research	B39	0.867
			B40	0.856
			B41	0.799
		Teaching practice research	B42	0.658
			B43	0.845
			B44	0.809