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Exploration of innovative learning ability cultivation based on logistic regression

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Introduction

University education is urgently required to cultivate students with systematic cultural and scientific knowledge and the ability to learn innovatively. The ability to innovate refers to the use of existing knowledge and experience, through bold association and imagination as well as novel and unique problem solving, and thus produce valuable new ideas, methods and results. The ability to innovate is the synthesis and highest expression of all human skills. Creative learning is a form of creative and independent learning for university students.

Applied talents in engineering are talents who are good at technological innovation, mainly in terms of creative content and innovative methods. They are capable of not only mastering and applying the latest technology but also reforming and innovating technology to achieve more significant results.

Current status

Most of the foreign studies on scientific and technological innovative talents are from the perspective of psychology. Institutions of higher education in several countries have taken stock of the actual conditions prevailing in the educational sector, combined these in various permutations to form various empirical models for the imparting of talent-fostering education, and put forward creative talent cultivation models formulated after considering students’ individual characteristics, all of which have given rise to the advent of application of unique educational concepts and teaching methods [1,2]. The innovative talent cultivation model of British universities highlights the idea of whole-person cultivation; in terms of curriculum, it has a multi-disciplinary curriculum. In terms of teaching content, it sets up different learning content for students to be cultivated comprehensively [3].

There are many different definitions of the concept of innovative talents, and most of these focus on an understanding of the connotation of creative talents while highlighting the cultivation of creative consciousness and creative ability [4]. Compared with foreign colleges and universities, China still has a significant gap in curriculum setting and teaching mode [5]. For colleges and universities, it is essential to cultivate the innovative consciousness, innovation ability and research ability of innovative talents through science and technology education to create the necessary conditions for students to grow into creative talents [6, 7]. Shan et al. [8] proposed introducing constructivist learning theory into course teaching, teaching students the correct way to access learning resources, guiding them to learn independently or through collaborative exploration, and helping them to complete the construction of the meaning of knowledge. Hui et al. [9] proposed strengthening practical teaching through professional practice classes, enterprise internships, science and technology competitions and other forms to formulate a unique system for cultivating creative, practical skills.

The incumbent mode of cultivating students’ creative ability is too old-fashioned, and it involves attempting to instil knowledge in students without paying attention to whether they understand. Students can only passively accept the content explained by teachers. Teachers are not sufficiently aware of the need to develop innovative skills. Teachers should actively adopt various advanced teaching methods to cultivate students’ creative abilities better. Jianwei [10] also believes that while a deep understanding of the profound importance of developing students’ creative skills and knowledge of the role that creative talents play in students’ future employment and development are wholly imperative, these requirements are currently not fulfilled up to the needed level in China. Lili [11] proposed a reformation of the teaching management concept and management methods. Xiaolin et al. [12] believe that students can use their innovative thinking to solve practical problems. Regarding the existing deficiencies in cultivating students’ creative abilities, higher quality requirements should be imposed on teachers, forcing them to continuously improve their teaching standards to develop students’ creative skills effectively.

Countermeasures

The integrated use of teaching systems and learning environment principles, with a focus on the cultivation of innovation and practical skills, establishes new teaching models, promotes changes in learning styles and differentiates teachers’ teaching philosophy, and guides students to complete the construction of knowledge knots actively.

In this paper, constructivist learning theory and cognitive psychology are introduced within the cultivation of creative learning abilities among university students. Cognitive psychology considers the process of cognition as the processing of information. Cognitive psychology's research on teaching and learning focuses on how different teaching methods of teachers affect students’ cognitive processing, and thus, the education outcome. Teaching methods can only affect students’ learning outcomes by influencing their mental processes.

This paper explores seven factors that influence the development of students’ innovative learning skills and gives positive strategies to address them.

Careful design of the teaching process

Teachers translate the well-structured knowledge in books into knowledge that fits into the structure of students’ minds and is easy for them to accept and store, paying attention to individual student differences and designing teaching objectives at different levels.

Constructivist psychology believes that teachers should change their role from being the transmitters and installers of knowledge to the organisers, facilitators, motivators and helpers of students’ learning, so that students can change from learning to being able to learn. Classroom teaching should actively promote heuristic teaching, case teaching and practical teaching, be in line with students’ ability level and cognitive development characteristics, remain close to students’ life experience and psychological aspects, be effective at creating learning situations and problem situations, pay attention to two-way communication and information feedback, stimulate college students’ interest in the inquiry and guide them to explore learning methods actively.

If conditions permit, teachers should follow the flipped classroom teaching model, strengthen teacher–student classroom interaction, mobilise students’ enthusiasm in classroom learning and require students to be able to use online resources for independent learning. The teaching should be focussed on developing students’ innovative learning skills, and cultivating their imagination, creativity and innovation through the cultivation of their creative and creative abilities.

Innovative training courses and evaluations are offered

Creative consciousness is an original concept and understanding that consists of curiosity, questioning and inculcation of the ability for independent thinking about things. Teachers should therefore change their previous indoctrination style of education, and the teaching mode should change to an open, interactive and heuristic one, focussing on cultivating students’ sense of innovation, independent thinking, etc.

In terms of assessment methods, attention is paid to not only the assessment of students’ academic performance but also the evaluation of the learning process, development potential and the spirit of innovation.

Focus on social practice innovation

The traditional talent training system is biased towards teaching basic knowledge and imparting complex theories, neglecting the cultivation of application ability and a practical teaching system. Practice is the core of innovative learning. We need to completely change the teaching style that emphasises knowledge but not technology, concepts but not methods, and deviates significantly from real life conditions; and in particular, cultivation of students’ ability to learn innovatively in practice is an imperative and urgent need.

All knowledge comes from life and labour, and practice, especially social convention, is vast. It would be vastly more productive to stimulate students’ interest, activate their thinking and give them a free rein to put into practise, in a participative and feedback-incorporating environment, the knowledge that they have acquired in their academic pursuits or book-learning.

Facilitating the construction of knowledge

The first thing we need to do is to change the mode of ‘teaching’, reduce the compulsion and uniformity of teaching, and enhance selectivity and openness. A new teaching model based on teacher–student discussion and students’ independent learning should be built, so that teaching can be enabled to make the transition from ‘teaching’ to ‘learning’, from conclusion-based teaching to process-based education, from teaching in a classroom to inspiring discussion, and from external coercion to induced thinking.

The need for respecting and nurturing students’ individuality should be recognised. Personality includes the unique qualities and styles of perception, experience, thinking, imagination, emotion and temperament that make a person attractive. Each student has different levels, characteristics and abilities. It is essential to abandon the ‘one-size-fits-all’ approach to teaching, which only serves to destroy individuality, undermine self-confidence and produce ‘one-size-fits-all’ generalists who follow the crowd.

Teachers need to guide students to explore knowledge on their own. This means that students are taught to identify problems, ask questions and set goals around them. In such a process, students would also undergo significant growth in terms of developing non-intellectual factors; and these factors are the ones that allow them to develop a positive and healthy mental state and stimulate and strengthen the desire for innovative learning.

Creating an academic atmosphere

Academic presentations and extracurricular science and technology activities are the main routes for students to participate in high-level educational activities. Educational presentations not only allow for the exchange of theoretical knowledge and cutting-edge information on research results in the professional field, but also, more importantly, lead to the stimulation of innovative thinking and collision of ideas. Extracurricular academic and scientific activities are an extension of classroom teaching. They are the primary way for students to develop creative learning skills, practical hands-on skills, teamwork skills and a sense of scientific and technological innovation.

A learning community is a micro-group environment for learning activities. A learning community is one that is closely knit. Schools need to create an innovative educational environment. Schools must actively change the school ethos by establishing an atmosphere for students to learn independently and strive for innovation through various competitions, contests and projects that inspire students to learn innovatively. A specialised model can be used to emphasise students’ independent specialisation and exploration, allowing them to identify problems and analyse them to formulate various feasible solutions and thereafter select the optimal one, and this would over time result in enhancing their innovative learning skills as well as decision-making capabilities; or, an exploratory model can be used to enable different thinking patterns, different perspectives and different ideas to collide with each other to find innovative learning methods that are more suitable for them.

Encourage questioning of authority

Teachers should cultivate students’ rational thinking spirit, equip them with good judgement ability and critical nature, and encourage them to break through the established rules, question the existing knowledge, dare to be original and constantly discover and innovate scientific knowledge based on learning and inheriting the outstanding achievements of human civilisation.

To cultivate the spirit of questioning among university students means that they should dare to challenge their teachers, books, authority and inheritance, to think diligently and question well, and to increase the pioneering strength of their thinking. Universities should adhere to academic freedom and develop students’ rational questioning and criticism, gradually changing their education and teaching methods to cultivate their creative and innovative personalities, facilitating students’ pursuit of truth and excellence, as well as their innovative and truth-seeking spirit of thought and discernment.

Keeping in mind the need for inculcation of independent thinking and problem-solving abilities in students, a task of the utmost importance for universities is to encourage students to express all kinds of different views; prompting diligent testing, enthusiastic exploration and the discovery of new ideas to solve problems; promoting exceptional academic performance that would translate into highly productive behaviour in the production floor; encouraging bold questions; inculcating the courage to independently explore ways to solve problems; allowing the opportunity for experiencing a sense of achievement arising from the independent solving of problems; and ensuring that students cultivate self-confidence, self-esteem and responsibility. These are some effective ways in which to give tolerance to students.

Experimental
Experimental design

In statistics, regression is a probability statistical classification model. The logistic regression function (Figure 1) is a general, special case of sigmoid, which assumes that the probability of dependent variables and the relationship between influencing factors are nonlinear.

Fig. 1

Logistic function

The specific formula is as follows: pi=f(ki)=11+eαki {p_i} = f({k_i}) = {1 \over {1 + {e^{ - \alpha {k_i}}}}} where α is a variable and its value varies with the number of iterations: α=4/(1.0+i)+0.01 \alpha = 4/\left( {1.0 + i} \right) + 0.01 After linear transformation, the following expression is obtained: logic(pi)=ln(pi1pi)=β0+β1x1++βmxm logic\left( {{p_i}} \right) = \ln \left( {{{{p_i}} \over {1 - {p_i}}}} \right) = {\beta _0} + {\beta _1}{x_1} + \cdots + {\beta _m}{x_m} where pi is the probability to be calculated, and ki is the joint action of all factors.

There are 22 indicators in the questionnaire: the amount of importance attributed by the school, knowledge construction, external environment, teaching mode, collaborative learning, knowledge and curiosity, question authority, divergent thinking, knowledge seeking in practice, exploratory teaching, teaching learning methods, innovative practice, solid professional knowledge, skill guidance, multivariate evaluation, course competitions, creative disciplines, flipped classroom, experiment types, types of science and technology activities, participating in the tutor's topic and promotion of creative learning ability.

Finally, we selected the following seven indicators: Knowledge Construction, Academic Atmosphere, Teaching Mode, Question Authority, Multivariate Evaluation, Innovative Disciplines and Innovative Practice. The dependent variable is the promotion of creative learning ability.

Experimental result
Model building

This paper uses the following principles to create a logistic model: The dependent variable is binary. Each observation is independent of the other. There is a linear relationship between the logit conversion values of continuous independent variables and dependent variables. There is no collinearity between independent variables. There are no apparent outliers.

From the theoretical model, we can see that the key to the construction of the regression model of college students’ creative learning ability lies in the means of selection of indicators. This study constructs 22 indicators through the relevant items in the questionnaire. This study also makes factor analysis and principal component analysis on these indicators. Finally, seven indicators of the logistic regression model for constructing college students’ creative learning abilities are obtained.

Result analysis

The results of logistic regression give many tables. This paper focuses on three tables.

Table 1 shows the overall significance test of the regression equation in the first step of the logistic analysis. It can be seen that the likelihood ratio chi-square test is 38.874, and the probability P-value is 0.000. Three lines of likelihood ratio chi-square values are output here. The step line is the likelihood chi-square ratio of this step compared with the last step. The model line is the likelihood chi-square ratio of this model compared with the previous model. In this example, since the explanatory variable block is not set and the explanatory variable is forced into the model at one time, the results of the three lines are the same.

Omnibus tests of model coefficients

Chi-square df Sig.

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

Table 2 shows the misjudgement matrix of the current model. ‘The cut value is 0.500’ in the footnote means: if the prediction probability value is greater than 0.5, the classification prediction value of the explained variable is considered to be 1. Among the 50 people who did not have the ability to improve, the model correctly identified 43 people and incorrectly identified 5 people, with a correct rate of 84.8%. The overall prediction accuracy of the model is 85.5%. Therefore, the prediction effect of the model is very ideal.

Classification tablea

Observed Predicted
Ability promotion Percentage correct
0 1

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

The cut value is 0.500

In Table 3, the Sig. column represents the P-value of the corresponding variable. The Exp(B) is the change rate of the event occurrence ratio ‘odds’ for each unit of change in the independent variable under other conditions remaining unchanged, that is, the degree to which the risk of another person's mass occurrence in relation to this event exceeds or decreases relative to a certain population. For example, the KnowledgeConstruction(1) row gives the OR value and P-value of ‘1’ relative to ‘0’ group. In addition, the constant is the intercept of the regression equation.

Variables in the equation

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

Lower Upper

Step 1a 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

Variable(s) entered on step 1: KnowledgeConstruction, AcademicAtmosphere, TeachingMode, QuestionAuthority, MultivariateEvaluation, InnovativeDisciplines and InnovativePractice

Through the analysis of the regression model, we can see that, while on the one hand, KnowledgeConstruction, TeachingMode, QuestionAuthority and InnovativePractice can improve students’ creative learning ability, on the other, AcademicAtmosphere, MultivariateValuation and InnovativeDisciplines have no significant effect on students’ creative learning ability.

Conclusion

In this study, using the form of questionnaires, we put forward more than 20 indicators affecting the creative learning ability of engineering students. Through the logistic regression model, we obtained four hands that can significantly improve creative learning ability: knowledge construction, teaching mode, question authority and creative practice. Due to the limited samples and data characterising the present study, other impact indicators need to be further explored.

The development of innovative learning skills is a long-term process. The principles of the teaching system and the learning environment are meant to be used in an integrated way, with emphasis on the cultivation of the creative spirit and practical skills, to establish new teaching models and to promote changes in learning styles and the teaching philosophy of teachers.

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Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics