Predictive Analysis of College Students' Creative Self-Efficacy Based on Decision Tree Modeling

Summary

The study examines the use of a modified C5.0 decision tree model (DTM) to predict creative self-efficacy (CSE) among college students. The research aims to determine the effectiveness of DTM in predicting CSE and identify the variables that predict it.

Abstract

Creativity is a focal point in current psychological research, domestically and internationally. An individual's self-awareness of their creativity is vital for determining their creative potential, helping them understand their strengths and weaknesses, and enhancing their self-creativity. There are few studies on college students' self-perception of creativity and even fewer on using the decision tree (DT) to predict such self-perception. This study aimed to assess the effectiveness of using a modified C5.0 decision tree model (DTM) in predicting creative self-efficacy (CSE) among college students and to identify which variables could serve as predictors of CSE. In response to these questions, 607 college students in Sichuan Province, China, filled out a Strengths and Difficulties Questionnaire (SDQ) containing five sections: psychological resilience scale, academic self-efficacy scale, psychological sense of school membership, innovative behavior scale, and CSE scale. The method described involves systematically providing the SDQ, scoring the results, and assigning codes to the answers of 60 students. Using the SDQ sub-scales, a DTM called C5.0 was built to predict the types of behavioral risk. The DTM was trained and cross-validated, showing a 10-fold improvement, and its performance was evaluated by accuracy and F1-score. The results of the revised C5.0 DTM revealed that the significant predictive factors of CSE, in decreasing order of importance, are psychological trust, psychological sense of school membership, academic self-efficacy, and innovative behavior. By proving the DTM's effectiveness in predicting college students' CSE, this research developed the link between basic learning and CSE, increased the interpretation of CSE, and provided research support for enhancing college students' creativity and CSE.

Introduction

Creativity is regarded as an essential motivator for the socio-economic development of several countries and has progressively become a primary factor in a nation's overall strength. Nevertheless, research indicates that Chinese Higher Education (HE) institutions still prioritize students' theoretical knowledge, neglecting the cultivation of analytical opinion skills, autonomous problem-solving skills, and innovative skills. Consequently, several students possess strong theoretical knowledge but struggle to analyze and address question¹. The dual impacts of personal and social environments drive this phenomenon, motivating college stude....

Protocol

The research was tested at Chengdu normal university, SiChuan Province, China, with over 17,000 students. The SDQ resources and survey design were approved by the Ethics Review Committee of Chengdu Normal University, SiChuan Province, 611130, China. The university conducted its survey from September 10 to 13, 2023. Voluntary participation was ensured by obtaining informed consent

1. Enrollment of participants

1. Select a government university through a class-conscious random sampling method. Use the following criteria: (i) education for all follows the same plan and tests students in the same method; (ii) teaching ....

Results

Descriptive statistics
This study analyzed descriptive statistics for continuous and sequential variables (Table 2). Each variable is coded based on the principle that values exceeding 60% of the full scale indicate an above average performance. Notably, college students appear to have above-average CSE, with a mean value of 3.66 and a standard deviation of 0.80, which exceeds 60% of the full scale. This proposes that most college students have high CSE. The mean values of the four p.......

Discussion

Using DT-C5.0, this study constructed a four-factor predictive model of college students' CSE to explore the role of these factors.All conclusions drawn in the study were based on the literature and relevant data analyses.

The effectiveness of the DTM in predicting levels of CSE was verified in the evaluation results. The model's accuracy, precision, and recall exceeded the 75 % criterion. The model has an Area Under the Curve (AUC) value of 0.762, surpassing 0.5, indicating i.......

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
2 TB HDD	Segante	6G SATA 7.2k 3.5"(LFF)	Storage
8 GB RAM	Kingston Technology	4Rx4 DDR4 LRDIMM 2666 MT/s.	Storage
Intel Core i5	Intel	Intel Core i7	Processor
NVIDIA GeForce RTX 4060 Ti	Nvidia Corporation	NA	Graphics Card
R		(version 4.1.2)	Programming Language
SPSS	IBM	30	Data Visualization Tool