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

Table 1

The comprehensive evaluation structure system of teachers’ educational technology ability.

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