[Retracted] Evaluation of Teachers’ Educational Technology Ability Based on Fuzzy Clustering Generalized Regression Neural Network

Table 3

Index weight of the teaching quality evaluation index system determined by the entropy method.

First level evaluation index	Secondary evaluation index	Index code	Weight
(A1) Quality of teachers	Clear education objectives	X1	0.05
	Solid professional knowledge	X2	0.07
	Teaching and explanation level	X3	0.08
(A2) Teaching attitude	Be patient and active in tutoring and answering questions	X4	0.06
	Teaching is serious and infectious	X5	0.06
	Rigorous attitude and continuous improvement	X6	0.05
(A3) Content of courses	The concept theory is accurate	X7	0.05
	Full content, ability oriented	X8	0.05
	Connecting with practice and paying attention to practice	X9	0.07
	Depth and breadth of professional knowledge	X10	0.06
(A4) Teaching method	Be good at inspiring and guiding thinking	X11	0.05
	Various ways and proper use	X12	0.06
	Pay attention to personality and teach according to their aptitude	X13	0.06
	Focus on stimulating innovation consciousness	X14	0.05
(A5) Teaching effectiveness	Improve self-study ability and interest in learning	X15	0.05
	Understanding and mastering of basic knowledge	X16	0.05
	Improve the ability of problem solving	X17	0.05
	Comprehensive quality and innovation ability	X18	0.05