Academic Self-efficacy Research Articles

Teacher support promotes the classroom engagement of mathematically poor students: a moderated mediation model

Mathematically poor students exhibit poor academic performance, as well as increased mental illnesses and behavioural issues; however, the learning dilemma faced by mathematically poor students and the factors affecting their classroom engagements remain unclear. To address this issue, the Perceived Maths Teacher Support Scale, Classroom Engagement Questionnaire, Maths Anxiety Scale and Academic Self-Efficacy Scale were administered to 486 junior school students in Henan Province, China. After determining the differences between the mathematically poor students and a matched control group, a moderated mediation model was constructed to examine the internal influence mechanisms of the mathematically poor students’ classroom engagement. The results demonstrated that, compared with the control group, the mathematically poor students exhibited higher maths anxiety and lower classroom engagement, academic self-efficacy and maths teacher support. Moreover, the interaction between the environmental (maths teacher support) and personal factors (academic self-efficacy and maths anxiety) affected the mathematically poor students’ classroom engagement. These results enrich the research on mathematically poor students and further elucidate the effective promotion strategies for improving their classroom engagement.

Validation and measurement invariance of the Chinese version of the academic self-efficacy scale for university students.

The objective of this study was to examine the psychometric properties of the Chinese version of the Academic Self-Efficacy Scale (ASES-C) and confirm its measurement invariance across gender identities. In this study, 502 university students (29.68% male, 70.32% female) with a mean age of 19.93 years (SD = 1.64) voluntarily participated. The Academic Self-Efficacy Scale (ASE) was utilized as a unidimensional measure of students' learning efficacy. The English version of ASES was translated into Chinese using a forward-backward translation procedure. Confirmatory factor analysis (CFA) and invariance testing were conducted with the single-factor model of ASES. Composite reliability (CR) and internal consistency were calculated based on Cronbach's alpha. Upon re-specification of the model, CFA results for the hypothesized single-factor model with eight items indicated an acceptable fit (CFI = 0.959, TLI = 0.943, SRMR = 0.036, RMSEA = 0.065). Cronbach's alpha and CR values were 0.785 and 0.880, respectively. Multi-group CFA results demonstrated measurement equivalence for the Chinese version of ASES across gender identities. The findings supported the measurement invariance of ASES-C for both male and female participants. The ASES-C, consisting of one factor and eight items, is a reliable instrument for assessing Chinese university students' self-efficacy in learning. Furthermore, it is suitable for making meaningful comparisons across gender identities.

Self-Regulation and Psychological Resilience as Predictors of the Academic Self-Efficacy of University Students

The purpose of this study is to determine the effects of the self-regulation and psychological resilience levels of university students on their academic self-efficacy. The sample of this correlational study included a total of 520 university students enrolled in the Atatürk Faculty of Education at Marmara University. The Self-Regulation Scale, the Brief Resilience Scale, and the Academic Self-Efficacy Scale were used to collect data. It was determined that the psychological resilience levels of the participants varied based on their genders, while their self-regulation and self-efficacy levels did not differ based on the gender variable. Self-regulation and psychological resilience were found to be associated with academic self-efficacy, where self-regulation and psychological resilience together predicted academic self-efficacy.

20대 학습자의 학업걱정상태척도 개발 및 타당화

Objectives The purpose of this study is to develop and validate a scale of learners’ worry arising in the academic situation, to examine the psychometric properties of the developed scale. Methods To this end, we developed the Academic Worry State Questionnaire(AWSQ) and conducted internal consistency analysis and exploratory factor analysis on 208 learners in their 20s, and derived the main factors. Subsequently, we performed confirmatory factor analysis on an independent sample of 207 to evaluate the model fit. We also examined the discriminant validity, convergent validity, and criterion validity through correlation analysis between the developed Academic Worry State Questionnaire and related variables. Results Using the estimation sample of 208, the final 1-factor scale with 9 items was derived, demonstratinga high internal consistency, exceeding .90. Confirmatory factor analysis on the 207 validation sample showed good fit with CFI .978, TLI .970, RMSEA .067, and SRMR .035. Correlation analysis with related variables showed that the scale had convergent validity as it had statistically significant positive correlations with the Penn State Worry Questionnaire(PSWQ) scale and fear of failure. On the other hand, the scale had discriminant validity as it had significant negative correlations with trait academic self-efficacy and state academic self-efficacy. Criterion validity was also confirmed, as the scale showed significant positive correlations with the subscales of the academic exhaution scale and significant negative correlations with Conclusions The scale developed in this study has potential clinical significance for future use in educational or counseling interventions. The study concludes by discussing the implications and limitations of the study.

20대 학습자의 학업마음챙김척도 개발 및 타당화

Objectives The purpose of this study was to develop and validate the “Academic Mindfulness Scale(AMS)” to measure learners’ level of mindfulness regarding Learning Strategies, facing Emotional and Physical Frustration due to academic work, and the urge to overstriving for academic work. Methods To this end, we conducted EFA and an internal consistency assessment with a sample of 208 learners in their 20s. Subsequently, we evaluated the model fit by carrying out CFA on a validation sample consisting of 207 learners. Convergent validity, discriminant validity, and criterion validity were examined through correlational analysis between the AMS and relevant variables. Results A final 3-factor 14-item scale was derived from an estimation sample of 208 individuals. CFA results showed good fit indices with CFI of .932, TLI of .917, RMSEA of .073, and SRMR of .061. Based on the reliability analysis conducted on a validation sample of 207 individuals, the reliability analysis for each subscale showed that Mindfulness in Learning Strategies was .87, Mindfulness in Dealing with Emotional and Physical Frustration was .82, and Mindfulness against overstriving was .70. Correlation analysis with related variables showed that all the three factors showed positive correlations with trait mindfulness scales(CAMS-R, FFMQ, K-MAIA), dedication, vigour, absorption in academic enthusiasm scale, trait academic self-efficacy, state academic self-efficacy, regular and consistent practice, and perserverance and consistency in grit scale, confirming convergent and criterion validity. On the other hand, all the three factors showed negative correlations with Difficulty in emotional clarity and Difficulty in attention to feelings in Emotional Awreness Difficulty Scale, Emotional Exhaustion, Cynicism, Reduced Academic Efficacy in the academic burnout scale, trait academic procrastination, and state academic procrastination, confirming that this scale has discriminant validity. Conclusions The AMS thus appears to be a reliable and valid self-report measure with practical utility for diagnosing and providing intervention for cultivating learners’ academic mindfulness competency.

문제중심학습(PBL) 교수법을 적용한 수업이 간호대학생의 자기주도 학습능력과 의사소통능력, 학업적 자기효능감에 미치는 효과

Objectives The purpose of this study was to examine the effects of flipped learning teaching and learning method on self-directed learning ability, communication ability, and academic self-efficacy of nursing college students. Methods The subjects of this study were nursing students at S University in Jeonnam, and the data collection period was from September 6, 2023 to December 6, 2023.,The collected data were analyzed by frequency analysis, reliability analysis, descriptive statistical analysis, correlation analysis, and paired t-test using SPSS Windows 20.0 Program. Results It was confirmed that the flipped learning method applied class had statistically significant effects on self-directed learning ability, communication ability, and academic self-efficacy of nursing college students.,Also, as a result of analyzing sub-areas of each variable, it was found that there was a significant effect in the recognition ability, learning strategy, learning activity, learning evaluation, interpersonal skills, confidence of academic self-efficacy, self-regulation efficacy, and preference of task difficulty. Conclusions This study is significant in that it verified the effectiveness by applying the problem-based learning teaching method that has recently emerged to the curriculum, and in the future, it is expected that this teaching and learning method will be applied to the curriculum in consideration of various environments and students' levels, and extensive research will be needed to confirm the effectiveness and to add various variables.

Psychological Balances in the Digital World: Dynamic Relationships Among Social Media Addiction, Depression, Anxiety, Academic Self-Efficacy, General Belongingness, and Life Satisfaction.

In the present era, the rapidly growing social media trends of the digital age have the potential to affect the psychological well-being of individuals. In this context, understanding how Social Media Addiction (SMA) interacts with various factors is important to understanding its potential impact on individuals' psychosocial health. In particular, the prevalence of SMA and its strong relationship with important variables such as anxiety, depression, stress, academic self-efficacy, general belongingness, and life satisfaction have received considerable attention from researchers and the society. This research aims to address the relationship between SMA and these variables in a holistic manner. The research further explored the relationship between life satisfaction and depression, anxiety, academic self-efficacy, and general belongingness. The research is based on a study conducted with 616 students (388 female and 228 male; 17-32 age range) at a state university in the Southeast of Turkey. Personal information form, Smartphone Addiction Scale, Depression Anxiety Stress Scale, Academic Self-Efficacy Scale, General Belongingness Scale, and Life Satisfaction Scale were used as data collection tools. Using a structural equation modeling approach, the research not only examined the significant relationships but also examined the mediating and moderating effects in more detail. According to the research results, SMA significantly affects academic self-efficacy, general belongingness, depression, stress and anxiety. Academic self-efficacy and general belongingness both impact life satisfaction. However, SMA does not have a significant effect on life satisfaction. Moreover, it is revealed general belongingness play effective roles in the relationship between SMA and life satisfaction. As a result of the research, it was revealed that gender plays a moderating role in the relationship between SMA and life satisfaction. It has been observed that gender has a moderating role in the relationships between academic self-efficacy, general belongingness, depression, anxiety and stress and life satisfaction. Conversely, there is no moderating influence of gender on the impact of SMA on academic self-efficacy, general belongingness, depression, anxiety, or stress. Consequently, the relationships between SMA and other variables play an important role in understanding their effects on individuals' mental health.

The relationship between college students' learning engagement and academic self-efficacy: a moderated mediation model.

Despite the return of college students to campus in the post-pandemic era, the deep influence of COVID-19 on learning approaches persists. Existing research has explored fewer mechanisms underlying academic self-efficacy and learning engagement. In line with social cognitive theory, the psychological resilience framework, and vocational socialization theory, this research investigated academic self-efficacy, professional commitment, psychological resilience, and academic engagement among college students in the post-pandemic era. In this research, the focus was on understanding the impact of academic self-efficacy on learning engagement, taking into account gender as a moderator and psychological resilience and professional commitment as mediators. We conducted a survey with 1,032 college students in Henan Province, China, utilizing the Psychological Resilience Scale, Academic Self-Efficacy Scale, College Student Learning Engagement Questionnaire, and College Student Professional Commitment Scale. SPSS and the Process plugin were used to assess mediating and moderating effects. Academic self-efficacy significantly and positively correlates with college students' commitment to learning. The positive anticipation of learning engagement facilitated by academic self-efficacy exerts its effect through the fully parallel mediation of psychological resilience and professional commitment. Notably, the mediation effect of professional commitment was greater than that of psychological resilience. Further research found that the mediation of professional commitment was moderated by gender, with female students demonstrating stronger perceptions of professional commitment associated with elevated levels of learning engagement. Gender did not exhibit a significant moderating effect on psychological resilience. College students' academic self-efficacy, professional commitment, and psychological resilience must be addressed to enhance their learning engagement.

A Review of Prospective Managers Towards Career Management with Self-Efficacy and Proactive Behavior

This paper review to discuss self-effort efficacy and proactive behavior regarding the materialisation of career management among prospective managers. Career management implies that there is a definite direction to the career goals and purposes based on the analysis of strengths, preferences, and interests. Academic self-efficacy, or students’ perception of their abilities, can be considered a key factor in respect to task approach, goal striving and accomplishment in academic domains. Self efficacy on the other hand involves high levels of initiate behaviors, being obligated to the goals that have been set, and remaining determined with challenges that may come along the way. Employing the self-efficacy and proactive behaviour constructs of the future managers, this research aims at establishing their career management behaviour patterns. Such implications highlight the importance of self-efficacy as an element helping to boost creativity and resulting in the advancement of career management. they were able to develop a confident sense of their creative potential, it will help them in their professional careers. The study also takes into account the environmental influences affecting career management such as learning needs and the event risks for example training.

Re-Evaluating Components of Classical Educational Theories in AI-Enhanced Learning: An Empirical Study on Student Engagement

The primary goal of this research was to empirically identify and validate the factors influencing student engagement in a learning environment where AI-based chat tools, such as ChatGPT or other large language models (LLMs), are intensively integrated into the curriculum and teaching–learning process. Traditional educational theories provide a robust framework for understanding diverse dimensions of student engagement, but the integration of AI-based tools offers new personalized learning experiences, immediate feedback, and resource accessibility that necessitate a contemporary exploration of these foundational concepts. Exploratory Factor Analysis (EFA) was utilized to uncover the underlying factor structure within a large set of variables, and Confirmatory Factor Analysis (CFA) was employed to verify the factor structure identified by EFA. Four new factors have been identified: “Academic Self-Efficacy and Preparedness”, “Autonomy and Resource Utilization”, “Interest and Engagement”, and “Self-Regulation and Goal Setting.” Based on these factors, a new engagement measuring scale has been developed to comprehensively assess student engagement in AI-enhanced learning environments.

Epistemic Curiosity and Academic Self-Regulatory Learning in Undergraduates: Unveiling the Mediating Role of Academic Self-Efficacy

This study sought to investigate the correlation between epistemic curiosity, academic self-efficacy, and self-regulated learning in undergraduate students. The study explored how academic self-efficacy mediated the interaction between epistemic curiosity and academic self-regulating learning. Selected from many colleges in Islamabad and Rawalpindi, a suitable sample of 240 students—120 male and 120 female—aged 18 to 25 years (M=20.47, SD=1.39). The present research applied the epistemic curiosity scale (Litman, 2008), academic self-efficacy scale (Sachitra & Bandra, 2017), and the academic self-regulatory learning Questionnaire (Nambiar et al., 2022). Pearson product-moment correlation indicated a substantial positive correlation among university students' epistemic curiosity, academic self-efficacy, and academic self-regulatory learning. Using Structural Equation Modeling (SEM), mediation studies found that academic self-efficacy greatly mediated the link between epistemic curiosity and academic self-regulatory learning among university students. The results showed that undergraduate students' academic self-efficacy greatly enhanced the positive link between epistemic curiosity and academic self-regulatory learning, to maintain the positive relationship between undergraduate students' sense of epistemic curiosity and self-regulated learning, this study highlights the importance of academic self-efficacy, guiding for improving teaching strategies. It also provides empirical data to direct behavior increasing curiosity and confidence, fostering better academic performance.

Examining the influence of social support and resilience on academic self-efficacy and learning outcomes in pre-licensure student nurses

BackgroundAcademic self-efficacy is recognized as a vital element influencing students' academic performance, while social support and resilience have been recognized as potential predictors of academic self-efficacy. PurposeThe purposes of this study are twofold: (1) to examine the influence of academic self-efficacy on learning outcomes in nursing students, and (2) to explore whether social support and resilience serve as predictors of academic self-efficacy. MethodA quantitative cross-sectional research design was utilized in this study. A total of 265 Filipino student nurses registered in a government nursing school participated in the study. ResultsStudent nurses reported moderate to high levels of general academic self-efficacy. Increased levels of academic self-efficacy were associated with better academic performance and clinical performance. Resilience emerged as a strong predictor of academic self-efficacy. ConclusionsThe findings of this study highlighted the value of resilience in promoting academic self-efficacy among student nurses. Furthermore, the research establishes the significance of academic self-efficacy in enhancing positive learning outcomes for these students. The findings underscore the need for interventions targeting the development of resilience to enhance academic self-efficacy, leading to improved learning outcomes.

The Effect of the Hybrid Learning Environment on the Learning Experience and Engagement of Mature Students in Thailand

Background and Aim: Mature students have unique strengths and weaknesses compared to traditional students, including higher levels of self-directed learning and motivation, paired with more time and resource limitations, making online and hybrid learning very popular. However, the quality of the hybrid learning environment could impact learning outcomes. The research investigates the role of hybrid learning environments in the learning experience and cognitive engagement of Thai mature students using the Web-Based Learning Environment Instrument (WEBLEI) assessment framework for online environments. Materials and Methods: An online survey was conducted among mature students at a Thai university (n = 290). Data was collected using a questionnaire based on the WEBLEI framework. The data analysis used descriptive statistics and Structural Equation Modelling for hypothesis testing. Results: Hybrid learning environment characteristics of access, interaction, response, and results significantly influenced perceived learning. Perceived learning and academic self-efficacy influenced cognitive engagement. Academic self-efficacy fully mediated the relationship between perceived learning and cognitive engagement. Conclusion: The hybrid learning environment and its characteristics have a direct influence on the learning experience of mature students, with interaction having a particularly strong effect. Students respond to interaction, feedback, and critical reflection about their contributions, with course design and structure, convenience, efficiency, and autonomy on participation also playing a role. To influence cognitive engagement, improving the online learning environment to support perceived learning and particularly academic self-efficacy is critical.

Relationship between Critical Thinking Disposition, Emotional Intelligence and Academic Self-Efficacy According to Psychiatric Nursing Competencies of Nursing Students

Relationship between Critical Thinking Disposition, Emotional Intelligence and Academic Self-Efficacy According to Psychiatric Nursing Competencies of Nursing Students

Effects of a Parent-Child Single-Session Growth Mindset Intervention on Adolescent Depression and Anxiety Symptoms: Protocol of a 3-Arm Waitlist Randomized Controlled Trial.

Depression and anxiety are common mental health problems among adolescents worldwide. Extant research has found that intelligence, emotion, and failure-is-debilitating beliefs (fixed mindsets) are closely related to more depression and anxiety symptoms, hopelessness, and suicidality. Recent research also points to the importance of parental mindset, which can strongly influence children's affect, behavior, and mental health. However, the effects of parent-child mindset interventions on a child's internalizing problems have not yet been empirically examined. As recent evidence has shown the promise of single-session interventions in reducing and preventing youth internalizing problems, this study develops and examines a parent and child single-session intervention on mindsets of intelligence, failure, and emotion (PC-SMILE) to tackle depression and anxiety in young people. Using a 3-arm randomized controlled trial, this study will examine the effectiveness of PC-SMILE in reducing depression and anxiety symptoms among children. We hypothesize that compared to the waitlist control group, the PC-SMILE group and child single-session intervention on mindsets of intelligence, failure, and emotion (C-SMILE) group will significantly improve child depression and anxiety (primary outcome) and significantly improve secondary outcomes, including children's academic self-efficacy, hopelessness, psychological well-being, and parent-child interactions and relationships, and the PC-SMILE is more effective than the C-SMILE. A total of 549 parent-child dyads will be recruited from 8 secondary schools and randomly assigned to either the PC-SMILE intervention group, the C-SMILE intervention group, or the no-intervention waitlist control group. The 45-minute interventions include parent-version and child-version. Both parents and students in the PC-SMILE group receive the intervention. Students in C-SMILE group receive intervention and their parents will receive intervention after all follow-up ends. Students in 3 groups will be assessed at 3 time points, baseline before intervention, 2 weeks post intervention, and 3 months post intervention, and parents will be assessed in baseline and 3-month follow-up. The intention-to-treat principle and linear-regression-based maximum likelihood multilevel models will be used for data analysis. Recruitment started in September 2023. The first cohort of data collection is expected to begin in May 2024 and the second cohort will begin in September 2024. The final wave of data is expected to be collected by the end of the first quarter of 2025. The results are expected to demonstrate improved anxiety and depression among students assigned to the intervention condition, as well as the secondary outcomes compared to those in the control group. The efficacy and effectiveness of the intervention will be discussed. This study is the first attempt to develop a web-based single-session intervention for students and their parents to enhance their well-being in Hong Kong and beyond, which potentially contributes to providing evidence-based recommendations for the implementation of brief digital parent-child interventions. PRR1-10.2196/63220.

Academic Dishonesty in Online Learning During the COVID-19 Pandemic: The Role of Gender, Moral Self-Concept, and Academic Self-Efficacy

This study aimed to examine the role of gender, moral self-concept, and academic self-efficacy on academic dishonesty among students during periods of online learning. Participants were 305 students aged 18-24 (male = 65, female = 240) who underwent online learning during the COVID-19 pandemic. This study used a survey method conducted online. The measuring instruments used were the Academic Dishonesty Scale to measure academic dishonesty, the Academic Self-Efficacy Scale to measure academic self-efficacy, and the Moral Self-Concept Scale to measure moral self-concept. Males indicated a higher tendency to commit academic dishonesty than females. The initial results of regression analysis showed that moral self-concept predicted academic dishonesty in a negative direction, while academic self-efficacy did not show a significant contribution toward academic dishonesty. Follow-up regression analysis was conducted by entering the two aspects of academic self-efficacy separately into the model, and it was found that while course efficacy did not show a significant contribution toward academic dishonesty, social efficacy contributed significantly in a positive direction.

Can Social Identities Improve Working Students’ Academic and Social Outcomes? Lessons from Three Studies

Previous research has linked working for pay while attending university with negative academic and health outcomes; yet, working students are often resilient when experiencing such adverse circumstances. This makes it crucial to explore potential psychological mechanisms that transform adverse experiences into sources of motivation and persistence for working students. We explore one mechanism—social identification—and its different foci—identifying as a student, employee, working student, or a student of one’s discipline of study—as potential predictors of important academic (academic self-efficacy, approaches to learning, and academic achievement) and social (status in society) outcomes in three cross-sectional studies. In Study 1, part-time working hours (but not identification processes) were associated with academic self-efficacy. In Study 2, discipline identification and part-time working hours were associated with using deep approaches to learning. In Study 3, student identification was associated with increased status in society. Overall, discipline identification may be solely linked to academic outcomes, but student identification should be explored further as a potential enhancer of social and graduate outcomes. We discuss additional mechanisms that can help to transform working students’ experiences through their social identities and suggest boundary conditions that can affect the link between these identities and important outcomes.

APPLICATION OF EMOTIONAL REGULATION AND ACCEPTANCE-COMMITMENT THERAPIES IN ENHANCING ACADEMIC SURVIVAL OF PUBLIC SECONDARY SCHOOL STUDENTS IN IBADAN METROPOLIS, NIGERIA

The public secondary school students are exposed to challenges such as low parental support, poor parental background, lack of conducive school environment, teachers’ negative attitude; poor finance to meet up basic needs at school and these resulted in inability to successfully complete their studies. The simple random sampling technique was used to select three local governments in the Ibadan Metropolis. Analysis of covariance (ANCOVA) was used to test the hypotheses that were stated in this study. There was a significant main effect of treatments on academic survival (F2, 30 = 5.725, p < 0.05, η2 = 0.436), there was no significant main effect of academic self-efficacy in improving academic survival among participants (F2, 30 = 0.075, p > 0.05, partial η2 = .001). ACT and ERT were efficacious in improving academic survival among participants.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0851/a.php" alt="Hit counter" /></p>

Predictive factors of stress response of nursing student repeaters under the background of abolishing the final supplementary examination in China

BackgroundAcademic pressure and frustration stimulation are significant stressors in college students, and response to the prolonged stimuli would cause adverse mental and physical outcomes. However, more is needed to know about the stress response and its predictors among undergraduate nursing students retaking failed course under the background of the abolition of the Final Supplementary Examination in China. This study aimed to investigate the stress response and its predictive factors of nursing student repeaters who are retaking at least one failed course.MethodsA cross-sectional study was conducted, utilizing convenience sampling to recruit 120 nursing student repeaters from four 4-year undergraduate medical universities in China between September 2020 and May 2021. Data collection instruments included a general information questionnaire, a stress response questionnaire, the Connor-Davidson resilience scale, a self-control scale, and a academic self-efficacy questionnaire. The data were analyzed using descriptive statistics, Pearson correlation coefficients, t-tests, analysis of variance (ANOVA), and multiple linear regression.ResultsThe average scores of the total stress response, emotional response, physical response, and behavioral response were 58.07 ± 26.72, 86.97 ± 17.12, 57.69 ± 9.75, 67.16 ± 9.22, respectively. Stress response was predicted by psychological resilience, self-control ability, academic self-efficacy and the number of retaking courses.ConclusionsThe stress response among nursing student repeaters is relatively active. Higher psychological resilience, self-control ability, and academic self-efficacy predict lower levels of stress response. In order to help nursing students with failing and repeating course release their psychological stress and maintain well-being, nursing educators could adopt self-control promotion strategies and emphasize the cultivation of psychological resilience and academic self-efficacy as parts of health promotion programs for this particular student group.

Analysis of factors influencing medical students’ learning engagement and its implications for teaching work—— a network analysis perspective

PurposeHigher medical education has always been a major project in the fields of education and health, and therefore, the quality of education has received much attention. Learning engagement has emerged as a significant indicator of teaching quality, attracting considerable research attention. This study aims to explore the relationship between medical students’ learning engagement and their sense of school belonging, professional identity, and academic self-efficacy.MethodsWe conducted an online survey using convenience sampling method with 311 medical students. We employed Revised version of the Utrech Work Engagement Scale-Student (UWES-S), Chinese version of the Psychological Sense of School Membership (PSSM) scale, Academic Self-Efficacy Scale, and the questionnaire of college students’ speciality identity for evaluation. Network analysis was used to analyze the relationships among these factors.ResultsMedical students’ overall performance in school showed a positive trend. However, there is still room for improvement. In the network structure of learning engagement and its influencing factors, the “emotional” aspect of professional identity (EI = 1.11) was considered to be an important node with strong centrality. And “academic competence self-efficacy” aspect of academic self-efficacy (BEI = 0.72) was considered an important node with strong transitivity.ConclusionDeepening medical students’ emotional identification with their profession and enhancing their confidence in their academic abilities may improve their learning engagement and educational quality.