Reducing Academic Mismatch through an Academic Alignment Model
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Abstract
Although the transition from secondary to higher education has been widely studied, comprehensive systemic frameworks integrating personal, curricular, institutional, and policy alignment remain underdeveloped. This study develops and empirically tests the Academic Alignment Model (AAM) as a framework for reducing academic mismatch during the transition to higher education. A sequential explanatory mixed-methods design was employed, involving 420 secondary school students, first-year university students, and key educational stakeholders selected through purposive sampling. Quantitative data were collected using structured questionnaires and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM), while qualitative data from semi-structured interviews were analyzed thematically. The quantitative and qualitative findings were subsequently integrated through joint displays. The results demonstrate that academic alignment operates as a multidimensional mechanism comprising personal, curricular, institutional, and policy alignment, all of which significantly influence academic success and graduate readiness. These findings indicate that reducing academic mismatch requires systemic coherence among students’ educational choices, curriculum structures, institutional support, and education policies. The AAM extends transition and alignment literature by providing an integrated framework for explaining academic mismatch across multiple educational levels. Practically, the findings highlight the need for schools, universities, and policymakers to strengthen career guidance, school–university articulation, institutional support, and policy-monitoring systems.

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References
Amelia S, T. P., Hasibuan, M. Y. M., Ilmi, J., & Fitriani, W. (2024). Urgensi asesmen bimbingan dan konseling di sekolah. G-Couns: Jurnal Bimbingan dan Konseling, 8(2), 1114–1124. https://doi.org/10.31316/gcouns.v8i2.4877
Fetters, M. D., & Tajima, C. (2022). Joint displays of integrated data collection in mixed methods research. International Journal of Qualitative Methods, 21, 1–13. https://doi.org/10.1177/16094069221104564
Hair, J. F., Jr., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Heilporn, G., Raynault, A., & Frenette, É. (2024). Student engagement in a higher education course: A multidimensional scale for different course modalities. Social Sciences & Humanities Open, 9, Article 100794. https://doi.org/10.1016/j.ssaho.2023.100794
Isaeva, R., Ratinen, I., & Uusiautti, S. (2023). Understanding student success in higher education in Azerbaijan: The role of student engagement. Studies in Higher Education, 48(12), 1918–1936. https://doi.org/10.1080/03075079.2023.2217208
Kurtaliqi, F., Lancelot Miltgen, C., Viglia, G., & Pantin-Sohier, G. (2024). Using advanced mixed methods approaches: Combining PLS-SEM and qualitative studies. Journal of Business Research, 172, Article 114464. https://doi.org/10.1016/j.jbusres.2023.114464
Lu, L., & Jia, Q. (2022). Do college students with future work self-salience demonstrate higher levels of career adaptability? From a dual perspective of teachers and students. Frontiers in Psychology, 13, Article 1011447. https://doi.org/10.3389/fpsyg.2022.1011447
Makki, M., Mustari, M., Hakim, M., & Fachry, M. (2026). The implementation of the Merdeka Curriculum: A study of educational management at secondary schools in Mataram, Indonesia. Indonesian Journal of Educational Management and Leadership, 4(1), 45–63. https://doi.org/10.51214/ijemal.v4i1.1871
McCrudden, M. T., Marchand, G., & Schutz, P. A. (2021). Joint displays for mixed methods research in psychology. Methods in Psychology, 5, Article 100067. https://doi.org/10.1016/j.metip.2021.100067
Miraz, M. H., Annamalah, S., & Sham, R. (2025). Integrating PLS-SEM and NVivo in mixed-methods educational research: A comprehensive evaluation of quantitative and qualitative analytical tools. Educational Process: International Journal, 19, Article e2025531. https://doi.org/10.22521/edupij.2025.19.531
Muthanna, A., & Al-Kadi, A. (2026). A four-step constructive alignment model for effective course design. Journal of Science of Learning and Innovations, 2(2), 145–156. https://doi.org/10.1163/29497736-bja00017
Offergeld, C., & Neudert, M. (2026). Vom constructive alignment zur evidenzbasierten Prüfungskultur [From constructive alignment to an evidence-based examination culture]. HNO, 74(1), 3–4. https://doi.org/10.1007/s00106-025-01700-6
Patton, M. Q. (2015). Qualitative research & evaluation methods: Integrating theory and practice (4th ed.). SAGE Publications.
Pratiwi, T. I., Supriatna, M., Suherman, U., & Sudrajat, D. (2024). Shaping future: Exploring career adaptability of Indonesian students. GUIDENA: Jurnal Ilmu Pendidikan, Psikologi, Bimbingan dan Konseling, 14(3), 736–747. https://doi.org/10.24127/gdn.v14i3.9624
Sari, S. W., Farkha’i, S., & Jalaludin. (2026). Evaluasi implementasi Kurikulum Merdeka: Studi literatur mengenai dampak terhadap motivasi dan hasil belajar siswa. AKADEMIK: Jurnal Mahasiswa Humanis, 6(1), 434–441. https://doi.org/10.37481/jmh.v6i1.1786
Supriadi, & Putra, M. E. (2024). Analysis of the implementation of the Merdeka Curriculum policy in vocational high schools: A qualitative research. Indonesian Journal of Technical and Vocational Education Training, 1(1), 25–30. https://doi.org/10.62945/ijtvet.v1i1.30
Woo, A., Covelli, L., Sahoo, S. K., & Augustine, C. H. (2026). How schools and after-school programs can collaborate to support academic alignment. RAND Corporation. https://doi.org/10.7249/RRA4386-2
Yang, L., Sin, K. F., & Savickas, M. L. (2023). Assessing factor structure and reliability of the career adaptability scale in students with special educational needs. Frontiers in Psychology, 14, Article 1030218. https://doi.org/10.3389/fpsyg.2023.1030218
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
Zhang, Y., Adams, D., Cheah, J.-H., Teeroovengadum, V., & Ramayah, T. (2026). An assessment of the use of partial least squares structural equation modelling (PLS-SEM) in educational leadership and management research. European Journal of Education, 61(2), Article e70600. https://doi.org/10.1111/ejed.70600


















