Research on Digital Transformation and Quality Monitoring Mechanism of College Labor Education Based on Big Data Analysis

-	Initial value	Extraction
Social practice	1	0.778
Daily labor	1	0.7
Campus service	1	0.632
Social management	1	0.513
Manual labor	1	0.582
Cooking	1	0.718
Folk art	1	0.704
Garbage disposal	1	0.725
Gift design and production	1	0.722
People’s livelihood service	1	0.628
New media promotion	1	0.63
Agricultural labor	1	0.549
Compound labor	1	0.721
Labor and safety management	1	0.761
Creative work	1	0.792
Future engineer	1	0.83
Artisans and art	1	0.828
Technological innovation and development	1	0.653
Industrial labor	1	0.714
Campus labor	1	0.791
Volunteer service	1	0.579
Forestry production	1	0.698
Domestic service	1	0.619
Living ability	1	0.715
Home cleaning	1	0.718
Simple cooking	1	0.721
Paper art	1	0.795
Cloth knot	1	0.706
Planting	1	0.696
Class management	1	0.71
Maintenance skill	1	0.706

The total variance interpretation of each factor

	Initial eigenvalue			Extracting the load of the load			Rotational load squared
Module	Total	Percentage of variance	Cumulative (%)	Total	Percentage of variance	Cumulative (%)	Total	Percentage of variance	Cumulative (%)
1	12.11	39.013	39.013	12.11	39.026	39.013	4.982	16.057	16.057
2	2.535	8.174	47.187	2.535	8.174	47.187	3.818	12.305	28.362
3	1.948	6.265	53.452	1.948	6.265	53.452	3.763	12.138	40.500
4	1.52	4.875	58.327	1.52	4.875	58.327	2.378	7.682	48.182
5	1.418	4.571	62.898	1.418	4.571	62.898	2.351	7.573	55.755
6	1.088	3.509	66.407	1.088	3.509	66.407	2.21	7.136	62.891
7	0.998	3.24	69.647	0.998	3.24	69.647	2.095	6.756	69.647
8	0.86	2.813	72.46	-	-	-	-	-	-
9	0.733	2.346	74.806	-	-	-	-	-	-
10	0.72	2.305	77.111	-	-	-	-	-	-
11	0.64	2.042	79.153	-	-	-	-	-	-
12	0.566	1.818	80.971	-	-	-	-	-	-
13	0.525	1.688	82.659	-	-	-	-	-	-
14	0.476	1.567	84.226	-	-	-	-	-	-
15	0.463	1.52	85.746	-	-	-	-	-	-
16	0.442	1.409	87.155	-	-	-	-	-	-
17	0.401	1.292	88.447	-	-	-	-	-	-
18	0.378	1.235	89.682	-	-	-	-	-	-
19	0.362	1.192	90.874	-	-	-	-	-	-
20	0.34	1.107	91.981	-	-	-	-	-	-
21	0.326	1.053	93.034	-	-	-	-	-	-
22	0.323	1.016	94.05	-	-	-	-	-	-
23	0.277	0.914	94.964	-	-	-	-	-	-
24	0.266	0.887	95.851	-	-	-	-	-	-
25	0.238	0.797	96.648	-	-	-	-	-	-
26	0.228	0.708	97.356	-	-	-	-	-	-
27	0.193	0.627	97.983	-	-	-	-	-	-
28	0.172	0.579	98.562	-	-	-	-	-	-
29	0.175	0.56	99.122	-	-	-	-	-	-
30	0.166	0.514	99.636	-	-	-	-	-	-
31	0.105	0.364	100	-	-	-	-	-	-

Factor interpretation

Factor	Courses with a large contribution rate	Professional ability
F1	Social practice labor, cultivation, livelihood service, campus service, paper art pottery, simple cooking	Technical ability
F2	Labor engineering construction, artisans and art, industrial production	Practical ability
F3	Gift design and production, manual labor, new media propaganda, social management	Home school association
F4	Waste disposal and cooking	Resource development ability
F5	Cloth art rope knot, maintenance skill	Course planning and derivation
F6	Writing skills and living	The ability of the basic skills of life
F7	Campus labor	Campus labor guidance

Reference table for attribute field

Attribute field	The discrete properties field
Age group	A1(Over 60 years old), A2(45-59 years old), A3(Under 45 years old)
Job title	Z1(Professor), Z2(Associate professor), Z3(Lecturer), Z4(Teaching assistant)
Gender	T(Male), F(Female)
Teaching effect	A(≥0.325), B(≥-1.006 and<0.325), C(<-1.006)
Teaching attitude	A(≥0.322), B(≥-0.956 and<0.322), C(<-0.956)
Teaching content	A(≥0.371), B(≥-0.952 and<0.371), C(<-0.952)
Teaching method	A(≥0.325), B(≥-0.944 and<0.325), C(<-0.944)

Association rule

Cluster	Rule identification	Term	Support	Confidence	Gain
Cluster1	34	Teaching method=A	28.915	97.918	2.425
		Teaching attitude=A
		Age2=A3
Cluster1	40	Teaching method=A	28.212	97.875	2.426
		Teaching attitude=A
		Age2=A3
Cluster1	36	Teaching method=A	25.905	97.668	2.43
		Teaching attitude=A
		Age2=A3
Cluster3	48	Teaching method=B	25.905	97.668	1.831
		Teaching attitude=B
		Age2=A3
Cluster1	37	Teaching method=A	28.928	95.844	2.365
		Teaching attitude=A
		Age2=A3
Cluster3	49	Teaching method=B	28.223	95.866	1.807
		Teaching attitude=B
		Age2=A3
Cluster3	30	Teaching method=B	25.915	95.358	1.788
Cluster3	30	Gender=T	25.915	95.358	1.788
Cluster3	23	Teaching method=B	25.312	92.864	1.766
Cluster3	23	Gender=T	25.312	92.864	1.766
Cluster1	39	Teaching method=A	27.782	91.315	2.272
		Teaching attitude=A
		Age2=A3

The factor load matrix after rotation

-	Module
-	1	2	3	4	5	6	7
Social practice	0.742	0.044	0.159	0.161	0.106	0.273	-0.016
Daily labor	0.74	0.282	-0.188	0.02	0.193	0.069	0.11
Campus service	0.658	0.104	0.458	0.182	0.003	0.011	0.151
Social management	0.622	0.311	0.117	0.09	-0.075	0.387	0.185
Manual labor	0.625	0.347	0.318	0.235	0.327	-0.036	0.088
cooking	0.602	-0.042	0.493	0.238	0.092	0.179	-0.036
Folk art	0.584	0.358	0.055	0.075	0.142	0.2	0.282
Garbage disposal	0.568	0.241	0.24	0.059	0.153	0.216	0.381
Gift design and production	0.436	0.377	0.388	0.186	0.359	-0.074	0.218
People’s livelihood service	0.435	0.272	0.301	0.213	0.424	-0.01	0.408
New media promotion	0.431	0.35	0.419	0.268	0.142	0.171	0.33
Agricultural labor	0.349	0.116	0.008	0.361	-0.3	0.266	0.26
Compound labor	2.01	0.111	0.869	0.168	0.115	0.03	0.088
Labor and safety management	1.009	0.205	0.87	0.125	0.051	0.069	0.081
Creative work	0.198	0.628	0.135	0.302	0.385	-0.013	-0.175
Future engineer	0.241	0.598	0.218	0.156	0.127	0.215	0.397
Artisans and art	0.378	0.446	0.229	-0.017	0.345	-0.111	0.227
Technological innovation and development	0.122	0.021	0.784	0.284	-0.015	0.01	0.118
Industrial labor	0.189	0.219	0.686	0.043	0.07	0.088	0.142
Campus labor	0.117	0.321	0.63	0.194	0.101	-0.195	0.15
Volunteer service	-0.025	0.26	0.528	-0.017	0.37	0.218	0.021
Forestry production	0.014	0.091	0.344	0.734	0.153	0.091	-0.166
Domestic service	0.243	0.226	0.135	0.711	0.139	0.137	0.141
Living living	0.332	0.211	0.089	0.536	0.403	-0.057	0.441
Home cleaning	0.116	0.214	0.032	0.176	0.756	0.012	-0.143
Simple cooking	0.234	0.064	0.481	0.011	0.489	0.325	0.114
Paper art	0.358	-0.026	0.239	0.251	0.454	0.265	0.288
Cloth knot	0.372	-0.078	-0.285	-0.006	0.113	0.718	0.148
Planting	0.059	0.331	0.343	0.109	0.029	0.671	0.008
Class management	0.279	0.019	0.125	0.455	0.022	0.626	0.167
Maintenance skill	0.148	0.011	0.196	-0.013	-0.103	0.15	0.832

Langue:: Anglais

Périodicité:: 1 fois par an
Sujets de la revue:: Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres

RSS Feed de la revue

Research on Digital Transformation and Quality Monitoring Mechanism of College Labor Education Based on Big Data Analysis

Publié en ligne: 21 mars 2025

Reçu: 26 oct. 2024

Accepté: 06 févr. 2025

DOI: https://doi.org/10.2478/amns-2025-0555

Mots clés
Data mining, Association rules, Apriori algorithm, Principal component analysis, Labor education

© 2025 Yuqi Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Common degree of variable

The total variance interpretation of each factor

Factor interpretation

Reference table for attribute field

Association rule

The factor load matrix after rotation

Research on Digital Transformation and Quality Monitoring Mechanism of College Labor Education Based on Big Data Analysis

Yuqi Wu

Hanjing Wu

Publié en ligne: 21 mars 2025

Reçu: 26 oct. 2024

Accepté: 06 févr. 2025

DOI: https://doi.org/10.2478/amns-2025-0555

Mots clésData mining, Association rules, Apriori algorithm, Principal component analysis, Labor education

© 2025 Yuqi Wu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

Common degree of variable

The total variance interpretation of each factor

Factor interpretation

Reference table for attribute field

Association rule

The factor load matrix after rotation

Mots clés
Data mining, Association rules, Apriori algorithm, Principal component analysis, Labor education