| Title: | Developing a Model of Career Decision-Making Self-Efficacy on Career Expectations of Senior Students in Guangxi, China |
| Author: | Liu Changbin |
| Advisor: | รศ. ดร.จอมพงศ์ มงคลวนิช – Assoc. Prof. Dr. Jomphong Mongkhonvanit |
| Degree: | ปรัชญาดุษฎีบัณฑิต สาขาวิชานวัตกรรมการบริหารการศึกษา – Doctor of Philosophy Program in Educational Administration Innovation |
| Major: | ปร.ด. นวัตกรรมการบริหารการศึกษา – Ph.D. in Educational Administration Innovation |
| Faculty: | บัณฑิตวิทยาลัย (Graduate School) |
| Academic year: | 2569 (2026) |
| Published: | ตีพิมพ์ในวารสาร (Journal Name) Journal of Multidisciplinary in Humanities and Social Sciences Vol. 9 No.5 September – October 2026 pp.2239-2255 TCI Tier 1 Publication Year: 2569 (2026) View นำเสนอในที่ประชุมวิชาการ (Conference) The 18th National and International Academic Conference “Sustainable Horizon: Transforming Ideas into Impact” 6-7 August 2025 (pp.1348-1356) Conference Publication Year: 2568 (2025) View |
Abstract
This study investigated the career decision-making self-efficacy (CDMSE) of senior students at six normal universities in Guangxi, China, and its impact on their career expectations. The objectives were: (1) to explore the levels of CDMSE among these students; (2) to examine the influence of career-related parental support (CRPS), peer influence (PI), and emotional intelligence (EI) on CDMSE and on career expectations; (3) to construct an evidence-based model enhancing students’ career decision-making abilities, addressing the variables affecting career choices; and (4) to provide strategic recommendations for career guidance improvements.
A mixed-methods approach was adopted. Quantitative data were gathered through questionnaires administered on the WJX platform, obtaining 409 valid responses. Statistical analyses, including Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), were completed using SPSS 27 and AMOS 27. Qualitative data gathered via semi-structured interviews were analyzed through thematic coding, word cloud visualization, and word frequency analysis with MAXQDA 2020, along with AI- assisted transcription using iFLYTEK.
The SEM results revealed significant effects of CRPS (β = 0.370, p < 0.01), PI (β = 0.290, p < 0.01), and EI (β = 0.330, p < 0.01) on CDMSE, which significantly predicted career expectations (β = 0.680, p < 0.001). Gender was confirmed to moderate the effects of CDMSE on career expectations, with stronger impacts for female students. The model demonstrated satisfactory fit indices (CFI = 0.955, RMSEA = 0.046).
Qualitative findings corroborated the quantitative results, highlighting the key themes of emotional support, role of peers, and self-efficacy as integral to shaping career expectations. Interviews with 12 career guidance experts underlined the importance of tailored support and the practicality of proposed strategies in normal universities.
This study refines existing career guidance frameworks by integrating emotional intelligence, while identifying parental support and peer influence as crucial factors. The developed model underscores the role of self-efficacy and gender in enhancing career expectations, thus providing valuable insights for improving career-related interventions in educational settings.
Keywords: career decision-making self-efficacy, career expectations, parental support, peer influence, emotional intelligence, gender, vocational education