A study on dynamic data modelling in the evaluation of the effectiveness of ideological education in colleges and universities based on big data

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Education content indicators dynamic evaluation results

Secondary indicator	Week
	1	4	6	9	12	15
B1	3.24	3.56	3.89	3.97	4.12	4.13
B2	2.93	3.39	3.54	3.64	3.87	3.95
B3	2.98	3.52	3.66	3.78	3.99	4.09
B4	3.44	3.64	3.75	3.92	4.11	4.42
B5	3.34	3.65	3.91	4.15	4.23	4.33
B6	2.32	3.45	2.59	3.76	4.04	4.06

Teacher education evaluation results

Secondary indicator	Week
	1	4	6	9	12	15
C1	2.1	3.26	3.36	4.26	4.52	5.00
C2	3.64	3.74	3.97	4.29	4.31	4.99
C3	3.98	4.36	4.48	4.58	4.66	5.00
C4	3.04	3.26	3.66	4.23	4.38	4.99
C5	3.83	4.25	4.32	4.52	4.59	5.00
C6	3.77	4.33	4.44	4.77	4.79	4.90

The education effect assessment index system

Index system	Primary indicator	Secondary indicator	Index number
The evaluation index of the education effect	Education target (A)	Integrated thinking	A1
		Ideological and political cognition	A2
	Education content (B)	Global consciousness	B1
		National condition	B2
		Social norms	B3
		Traditional culture	B4
		Environmental responsibility	B5
		Scientific attitude	B6
	Teacher education (C)	Design innovation	C1
		Ideological and political case	C2
		Teaching situation	C3
		Teaching method	C4
		Instructional language	C5
		Teaching tool	C6
	Student activity (D)	Learning preparation	D1
		Learning attitude	D2
		Learning process	D3
		Student interaction	D4
	Education effect (E)	Teachers interact with students	E1
		Classroom atmosphere	E2
		Target	E3

Analysis of evaluation accuracy of network model education

Majors	Serial number	Actual output	Expected output	Training results	Expert outcome
Chemistry	1	0.6539	0.65	Qualify	Qualify
	2	0.9518	0.95	Excellence	Excellence
	3	0.8487	0.85	Good	Good
	4	0.9563	0.95	Excellence	Excellence
	5	0.6472	0.65	Qualify	Qualify
	6	0.8539	0.85	Good	Good
	7	0.3472	0.35	Out of line	Out of line
	……	……	……	……	……
	149	0.6542	0.65	Qualify	Qualify

The training results of some samples

Majors	Serial number	Actual output	Expected output	Training results	Expert outcome
Philosophy	1	0.6523	0.65	Qualify	Qualify
	2	0.8492	0.85	Good	Good
	3	0.8502	0.85	Good	Good
	……	……	……	……	……
	102	0.6423	0.65	Qualify	Qualify
Biology major	1	0.8496	0.85	Good	Good
	2	0.7523	0.75	Medium	Medium
	3	0.8512	0.85	Good	Good
	……	……	……	……	……
	117	0.7502	0.75	Medium	Medium
Education and technical major	1	0.7495	0.75	Medium	Medium
	2	0.8426	0.85	Good	Good
	3	0.7532	0.75	Medium	Medium
	……	……	……	……	……
	136	0.9469	0.95	Excellence	Excellence
Art major	1	0.4522	0.45	Out of line	Out of line
	2	0.2998	0.3	Out of line	Out of line
	3	0.8632	0.85	Good	Good
	……	……	……	……	……
	152	0.6492	0.65	Qualify	Qualify
Computer science	1	0.9562	0.95	Excellence	Excellence
	2	0.6487	0.65	Qualify	Qualify
	3	0.9487	0.95	Excellence	Excellence
	……	……	……	……	……
	127	0.6529	0.65	Qualify	Qualify

Evaluation index weight analysis results

Primary indicator	Weighting	Secondary indicator	Index number	Weighting
Teaching target (A)	0.1338	Integrated thinking	A1	0.0518
		Ideological and political cognition	A2	0.082
Teaching content (B)	0.3220	Global consciousness	B1	0.0216
		National condition	B2	0.0837
		Social norms	B3	0.0479
		Traditional culture	B4	0.0273
		Environmental responsibility	B5	0.0553
		Scientific attitude	B6	0.0862
Teacher teaching (C)	0.2096	Design innovation	C1	0.0608
		Ideological and political case	C2	0.0152
		Teaching situation	C3	0.0194
		Teaching method	C4	0.0654
		Instructional language	C5	0.0225
		Teaching tool	C6	0.0263
Student activity (D)	0.1626	Learning preparation	D1	0.0532
		Learning attitude	D2	0.0710
		Learning process	D3	0.0102
		Student interaction	D4	0.0282
Teaching effect (E)	0.1720	Teachers interact with students	E1	0.0651
		Classroom atmosphere	E2	0.058
		Target	E3	0.0489