Data – Driven Decision Making, Industry Consultation, and Emotional Intelligence on Curriculum Assessment of Technical Vocational Livelihood (TVL) Administrators

This study was conducted in response to the increasing need for effective curriculum assessment among Technical Vocational Livelihood (TVL) administrators in the Department of Education, particularly in relation to data utilization, industry linkages, and emotional competencies. It aimed to examine the influence of Data-Driven Decision Making, Industry Consultation, and Emotional Intelligence on Curriculum Assessment. The study involved 605 administrators, including School Heads, TVL Coordinators, and Subject Heads, from nine Schools Division Offices in DepEd Region X for School Year 2025–2026. Data were collected using validated survey questionnaires and analyzed using descriptive statistics, Pearson correlation, and regression analysis. The findings revealed that Data-Driven Decision Making was manifested (M=4.38), with Student Performance Analysis as the highest (M=4.52). Industry Consultation was established (M=4.33), led by Work Immersion Collaboration and Industry Standards Adoption (M=4.40). Emotional Intelligence was high (M=4.45), with Relationship Management as the highest (M=4.48). Curriculum Assessment was found to be effective (M=4.43), particularly in terms of Pedagogical and Instructional Quality (M=4.45). Significant positive relationships were observed between Curriculum Assessment and Data-Driven Decision Making (r=0.711), Industry Consultation (r=0.667), and Emotional Intelligence (r=0.696). Regression analysis identified nine significant predictors that collectively explained 63.5% of the variance in Curriculum Assessment outcomes. The findings indicate that both technical competencies and emotional intelligence significantly influence curriculum assessment effectiveness among TVL administrators. Strengthening these areas through targeted professional development and industry collaboration is essential to improve curriculum implementation and alignment with educational and workforce demands.

Curriculum Assessment, Data – Driven Decision Making, Industry Consultation, Emotional Intelligence

1. Alcoran, J. F., & Mobo, F. D. (2020). Emotional intelligence and leadership effectiveness of school principals. International Journal of Scientific Research and Management, 8(9), 1535–1546. https://doi.org/10.18535/ijsrm/v8i09.el01 [Google Scholar] [Crossref]

2. Arban, J. C., Enad, F., & Pabalan, A. (2024). The senior high school technical-vocational-livelihood track: Implementation and challenges. Psychology and Education: A Multidisciplinary Journal, *26*(1), 6–12. https://ssrn.com/abstract=4975284 [Google Scholar] [Crossref]

3. Arban, R. B., et al. (2024). Challenges in the implementation of Technical Vocational Livelihood programs in public secondary schools. Journal of Educational Research and Practice, 14(1), 45–60. [Google Scholar] [Crossref]

4. Berkovich, I., & Eyal, O. (2020). Ethical leadership in education: The role of emotional intelligence. Educational Management Administration & Leadership, 48(3), 439–456. https://doi.org/10.1177/1741143218822775 [Google Scholar] [Crossref]

5. Billett, S. (2020). Integrating practice-based experiences into higher education. Springer. https://doi.org/10.1007/978-3-030-48059-3 [Google Scholar] [Crossref]

6. Boyatzis, R. E. (2018). The competent manager: A model for effective performance. John Wiley and Sons. [Google Scholar] [Crossref]

7. Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. https://doi.org/10.1080/10888691.2018.1537791 [Google Scholar] [Crossref]

8. Department of Education. (2019). DepEd Order No. 21, s. 2019: Policy guidelines on the K to 12 Basic Education Program. https://www.deped.gov.ph/wp-content/uploads/2019/08/DO_s2019_021.pdf [Google Scholar] [Crossref]

9. Drake, S. M., & Reid, J. L. (2018). Integrated curriculum as an effective way to teach 21st century capabilities. Asia Pacific Journal of Educational Research, 1(1), 31–50. https://doi.org/10.30777/APJER.2018.1.1.03 [Google Scholar] [Crossref]

10. Grossman, P., Hammerness, K., & McDonald, M. (2019). Redefining teaching, re-imagining teacher education. Teachers and Teaching, 25(2), 119–137. https://doi.org/10.1080/13540602.2019.1638484 [Google Scholar] [Crossref]

11. Hattie, J. (2023). Visible Learning: The Sequel. Routledge. [Google Scholar] [Crossref]

12. Ikemoto, G. S., & Marsh, J. A. (2017). Cutting through the “data-driven” mantra: Different conceptions of data-driven decision making. Teachers College Record, 119(4), 1–34. https://www.tcrecord.org/Content.asp?ContentId=21791 [Google Scholar] [Crossref]

13. International Labour Organization. (2019). Skills for a greener future: A global view based on 32 country studies. ILO. [Google Scholar] [Crossref]

14. Leithwood, K. (2021). A review of evidence about the impact of school leadership on student outcomes. School Leadership & Management, 41(4–5), 281–298. https://doi.org/10.1080/13632434.2021.1949610 [Google Scholar] [Crossref]

15. Mandinach, E. B., & Gummer, E. S. (2016). Data literacy for educators: Making it count in teacher preparation and practice. Teachers College Press. [Google Scholar] [Crossref]

16. Mayer, J. D., Caruso, D. R., & Salovey, P. (2016). The ability model of emotional intelligence: Principles and updates. Emotion Review, 8(4), 290–300. https://doi.org/10.1177/1754073916639667 [Google Scholar] [Crossref]

17. Metante, J. T. (2024). Elevating educational quality: Evaluating the senior high school (SHS) - technical vocational livelihood (TVL) caregiving program with Stufflebeam's CIPP evaluation model. International Journal of Educational Researchers, *15*(3), 30–43. [Google Scholar] [Crossref]

18. National Economic and Development Authority Region X. (2022). Regional development report Northern Mindanao. NEDA Region X. [Google Scholar] [Crossref]

19. Nieveen, N., & Kuiper, W. (2019). Balancing curriculum freedom and regulation in the Netherlands. European Journal of Education, 54(3), 337–351. https://doi.org/10.1111/ejed.12347 [Google Scholar] [Crossref]

20. Opfer, V. D., Kaufman, J. H., & Thompson, L. E. (2017). Implementation of K–12 state standards for mathematics and English language arts and literacy. RAND Corporation. https://www.rand.org/pubs/research_reports/RR1529.html [Google Scholar] [Crossref]

21. Orbeta, A. C., & Lagarto, M. R. (2018). Non-cognitive skills in Philippine education: Evidence from longitudinal data (PIDS Discussion Paper No. 2018-01). Philippine Institute for Development Studies. https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidsdps1801.pdf [Google Scholar] [Crossref]

22. Orbeta, A., & Paqueo, V. (2016). The K to 12 Basic Education Program: A status report (PIDS Discussion Paper No. 2016-40). Philippine Institute for Development Studies. https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidsdps1640.pdf [Google Scholar] [Crossref]

23. Organisation for Economic Cooperation and Development. (2018). The future of education and skills: Education 2030. OECD Publishing. https://www.oecd.org/education/2030/ [Google Scholar] [Crossref]

24. Pavlova, M. (2018). Fostering inclusive, sustainable economic growth through TVET. In Skills for a Sustainable Future (pp. 1–22). Springer. https://doi.org/10.1007/978-3-319-69673-5_1 [Google Scholar] [Crossref]

25. Pinar, W. F. (2019). What is curriculum theory? (3rd ed.). Routledge. [Google Scholar] [Crossref]

26. Priestley, M., Philippou, S., Alvunger, D., & Soini, T. (2021). Curriculum making in Europe: Policy and practice within and across diverse contexts. European Educational Research Journal, 20(5), 551–561. https://doi.org/10.1177/14749041211030078 [Google Scholar] [Crossref]

27. Ra, S., Chin, B., & Liu, A. (2019). Challenges and strategies in technical and vocational education and training in the Asia-Pacific region. International Journal of Training Research, 17(sup1), 1–14. https://doi.org/10.1080/14480220.2019.1638625 [Google Scholar] [Crossref]

28. Republic of the Philippines. (2013). Republic Act No. 10533: Enhanced Basic Education Act of 2013. Official Gazette. https://www.officialgazette.gov.ph [Google Scholar] [Crossref]

29. Sarkar, M., Overton, T., & Thompson, C. D. (2020). Academics’ perspectives of industry engagement in the curriculum. Higher Education Research & Development, 39(5), 923–938. https://doi.org/10.1080/07294360.2019.1695750 [Google Scholar] [Crossref]

30. Schildkamp, K., Poortman, C. L., Luyten, H., & Ebbeler, J. (2017). Factors promoting and hindering data-based decision making in schools. School Effectiveness and School Improvement, 28(2), 242–258. https://doi.org/10.1080/09243453.2016.1256901 [Google Scholar] [Crossref]

31. Schmidt, W. H., Burroughs, N. A., & Houang, R. T. (2021). The role of schooling in perpetuating educational inequality: An international perspective. Educational Researcher, 50(5), 269–282. https://doi.org/10.3102/0013189X21994458 [Google Scholar] [Crossref]

32. Senate of the Philippines. (2023, April 28). Gatchalian wants government to shoulder certification costs for TVL graduates in senior high school. https://legacy.senate.gov.ph/press_release/2023/0428_gatchalian1.asp [Google Scholar] [Crossref]

33. Tran, T. T., & Bui, H. T. M. (2021). Vietnamese higher education and the issue of enhancing graduate employability. Journal of Education and Work, 34(3), 259–273. https://doi.org/10.1080/13639080.2021.1916902 [Google Scholar] [Crossref]

34. Tyson, R. (2017). The didactics of vocational Bildung: How the subject matters in Swiss apprenticeship. Journal of Vocational Education & Training, 69(4), 485–504. https://doi.org/10.1080/13636820.2017.1322137 [Google Scholar] [Crossref]

35. UNESCO-UNEVOC. (2020). TVET systems for the future: Trends and challenges. UNESCO-UNEVOC International Centre. https://unevoc.unesco.org [Google Scholar] [Crossref]

36. Van den Akker, J. (2018). Curriculum perspectives: An introduction. In J. Van den Akker, W. Kuiper, & U. Hameyer (Eds.), Curriculum landscapes and trends (pp. 1-10). Springer. [Google Scholar] [Crossref]

37. Vanlommel, K., Van Gasse, R., Vanhoof, J., & Van Petegem, P. (2017). Teachers' decision-making: Data based or intuition driven? Teaching and Teacher Education, 65, 107–119. https://doi.org/10.1016/j.tate.2017.03.013 [Google Scholar] [Crossref]

38. Westbury, I. (2016). Making curricula: Why do states make curricula, and how? In Handbook of curriculum research (pp. 45-65). Routledge. [Google Scholar] [Crossref]

39. World Bank. (2020). Philippines education public expenditure review. World Bank Group. https://www.worldbank.org [Google Scholar] [Crossref]

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