<abstract xmlns="http://www.w3.org/1999/xhtml">

Innovative learning ability is the core competitiveness of university students, the essential ability of university students to solve problems and a fundamental quality that can be universally applied by university students in both theoretical and practical spheres. This paper analyses the necessity of innovative learning ability cultivation for engineering students in applied universities, and introduces constructivist learning theory into curriculum teaching. The logistic function is improved as 1/(1 + <italic>e</italic>−<italic>αk</italic><italic>i</italic>), and the value <italic>α</italic> varies with the number of iterations. Data are obtained through questionnaires; data analysis techniques are used to analyse the factors affecting the cultivation of creative ability in terms of the elaborate teaching processes, creative training courses, emphasis on social practice innovation, promotion of knowledge construction, creation of academic atmosphere and encouragement of questioning authority; and positive coping strategies are given.
</abstract>

Innovative learning ability is the core competitiveness of university students, the essential ability of university students to solve problems and a fundamental quality that can be universally applied by university students in both theoretical and practical spheres. This paper analyses the necessity of innovative learning ability cultivation for engineering students in applied universities, and introduces constructivist learning theory into curriculum teaching. The logistic function is improved as 1/(1 + e−αki), and the value α varies with the number of iterations. Data are obtained through questionnaires; data analysis techniques are used to analyse the factors affecting the cultivation of creative ability in terms of the elaborate teaching processes, creative training courses, emphasis on social practice innovation, promotion of knowledge construction, creation of academic atmosphere and encouragement of questioning authority; and positive coping strategies are given.

Exploration of innovative learning ability cultivation based on logistic regression

College of Urban Rail Transit and Logistics

Applied Mathematics and Nonlinear Sciences

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

Innovative learning ability is the core competitiveness of university students, the essential ability of university students to solve problems and a...

		Chi-square	df	Sig.

Step 1	Step	38.874	12	0.000
	Block	38.874	12	0.000
	Model	38.874	12	0.000

		B	SE	Wald	df	Sig.	Exp(B)	95% CI for EXP(B)

								Lower	Upper

Step 1^a	KnowledgeConstruction			14.082	2	0.001
	KnowledgeConstruction(1)	−0.992	1.046	0.900	1	0.343	0.371	0.048	2.879
	KnowledgeConstruction(2)	3.748	1.320	8.068	1	0.005	42.448	3.196	563.806
	AcademicAtmosphere			2.305	2	0.316
	AcademicAtmosphere(1)	−0.526	0.933	0.318	1	0.573	0.591	0.095	3.676
	AcademicAtmosphere(2)	−1.285	0.860	2.231	1	0.135	0.277	0.051	1.493
	TeachingMode			10.398	2	0.006
	TeachingMode(1)	1.642	0.832	3.894	1	0.048	5.165	1.011	26.381
	TeachingMode(2)	−4.971	1.744	8.127	1	0.004	0.007	0.000	0.212
	QuestionAuthority			9.608	2	0.008
	QuestionAuthority(1)	2.439	1.031	5.599	1	0.018	11.458	1.520	86.374
	QuestionAuthority(2)	−2.674	1.340	3.986	1	0.046	0.069	0.005	0.952
	MultivariateEvaluation(1)	0.683	0.794	0.742	1	0.389	1.981	0.418	9.383
	InnovativeDisciplines(1)	0.482	0.749	0.415	1	0.520	1.620	0.373	7.028
	InnovativePractice			16.158	2	0.000
	InnovativePractice(1)	4.005	1.021	15.376	1	0.000	54.864	7.412	406.106
	InnovativePractice(2)	5.006	1.628	9.458	1	0.002	149.237	6.144	3624.698
	Constant	−4.229	1.573	7.228	1	0.007	0.015

Observed		Predicted
		Ability promotion		Percentage correct
		0	1	Percentage correct

Step 1	Ability promotion	43	7	86.0
	Ability promotion	5	28	84.8
	Overall percentage			85.5

Exploration of innovative learning ability cultivation based on logistic regression

Publié en ligne: 16 déc. 2022

Pages: 1085 - 1092

Reçu: 07 nov. 2022

Accepté: 19 nov. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00320

Mots clés
creative learning skills development, cognitive structure, information processing

© 2022 Chengming Qi et al., published by Sciendo

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

Fig. 1

Omnibus tests of model coefficients

Variables in the equation

Classification tablea

Exploration of innovative learning ability cultivation based on logistic regression

Publié en ligne: 16 déc. 2022

Pages: 1085 - 1092

Reçu: 07 nov. 2022

Accepté: 19 nov. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00320

Mots cléscreative learning skills development, cognitive structure, information processing

© 2022 Chengming Qi et al., published by Sciendo

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

Fig. 1

Omnibus tests of model coefficients

Variables in the equation

Classification tablea

Mots clés
creative learning skills development, cognitive structure, information processing