Multiple Intelligences of Grade 12 Senior High School Learners: Basis for Career Guidance Program

Authors

Servillano B. Sudio Jr

Graduate School,Virgen Milagrosa University Foundation, Inc.,Bayambang, Pangasinan, Philippines (Philippines)

Dulce B. Solis, Phd

Graduate School,Virgen Milagrosa University Foundation, Inc.,Bayambang, Pangasinan, Philippines (Philippines)

Jonathan C. Diola

Graduate School,Virgen Milagrosa University Foundation, Inc.,Bayambang, Pangasinan, Philippines (Philippines)

Phd,Marcelo G. Paz, Phd

Graduate School,Virgen Milagrosa University Foundation, Inc.,Bayambang, Pangasinan, Philippines (Philippines)

Jose Emmauel C. Mandapat, Da

Graduate School,Virgen Milagrosa University Foundation, Inc.,Bayambang, Pangasinan, Philippines (Philippines)

Article Information

DOI: 10.47772/IJRISS.2026.100900416

Subject Category: Guidance and Counseling

Volume/Issue: 10/9 | Page No: 6165-6177

Publication Timeline

Submitted: 2026-09-23

Accepted: 2026-09-28

Published: 2026-10-13

Abstract

This quantitative descriptive study determined the multiple intelligences of Grade 12 Senior High School learners at Speaker Eugenio Perez National Agricultural School in San Carlos City, Pangasinan, as a basis for career guidance during the School Year 2020–2021. A total of 884 Grade 12 learners served as respondents of the study.

The findings revealed that most of the learners were 17–18 years old (566, 78.2%), male (392, 54.1%), enrolled in the Technical-Vocational-Livelihood (TVL) track (390, 53.9%), and in the Humanities and Social Sciences (HUMSS) strand (157, 21.7%). Most of their families had a monthly income below Php 10,000.00 (423, 58.4%). In terms of multiple intelligences, the learners sometimes demonstrated verbal/linguistic intelligence (AWM = 2.9), visual/spatial intelligence (AWM = 3.0), musical intelligence (AWM = 3.2), logical/mathematical intelligence (AWM = 3.1), interpersonal intelligence (AWM = 3.1), intrapersonal intelligence (AWM = 3.3), naturalistic intelligence (AWM = 3.2), and bodily-kinesthetic intelligence (AWM = 3.2). Age was significantly and positively correlated with several indicators of verbal/linguistic intelligence, including the ability to use a variety of words to express ideas, enjoyment of crossword puzzles and word games, accurate recall of spoken information, participation in debates and discussions, ease in explaining concepts to others, interest in keeping journals and writing stories or articles, and enjoyment of reading (p = 0.000). Furthermore, age, sex, track, strand, and monthly family income were found to significantly influence the level of multiple intelligences among Grade 12 learners.

Based on these findings, the study recommends the utilization of the guidance program to help learners gain a deeper understanding of their interests, abilities, and skills. School administrators should provide appropriate learning materials and information on multiple intelligences to increase awareness among learners and teachers and to support the recognition and development of diverse abilities, talents, and skills. Class advisers and teachers should incorporate varied and engaging learning activities into their lessons to stimulate learners' interests and help them identify their strengths and areas for improvement. Further studies may also be conducted using qualitative approaches, such as one-on-one interviews or focus group discussions, to provide a more in-depth understanding of learners' multiple intelligences and to further support the findings of the present study.

Keywords: Multiple Intelligences, Senior High School Learners, Career Guidance, Grade 12, Quantitative Descriptive Research

Keywords

Multiple Intelligences, Senior High School Learners, Career Guidance, Grade 12, Quantitative Descriptive Research

Downloads

References

1. Abdi et al. (2013). Effect of teaching strategy based on multiple intelligences on students’ academic achievement in science course. Universal Journal of Educational Research, 1(4), 281–284. [Google Scholar] [Crossref]

2. Abella (2020). Career barriers and career advancement strategies of women administrators in higher education institution. University of Santo Tomas. [Google Scholar] [Crossref]

3. Ahvan et al. (2016). The correlation of multiple intelligences for the achievements of secondary students. Department of Psychology, Hormozgan University, Iran. ISSN 1990-3839. [Google Scholar] [Crossref]

4. Aliaga, M., & Gunderson, B. (2002). Interactive statistics. Sage Publications. [Google Scholar] [Crossref]

5. Ancheta, M. L. F. (2014). Psychosocial characteristics of adolescents – Basis for a comprehensive guidance program. DMMMSU Graduate School, Agoo, La Union. [Google Scholar] [Crossref]

6. Aringay et al. (2019). Multiple intelligence inventory of public secondary school teachers in Bukidnon, Philippines. International Journal of Scientific & Technology Research, 8(11). [Google Scholar] [Crossref]

7. Armstrong, T. (1994). Awakening your child’s natural genius: Enhancing curiosity, creativity, and learning ability. The Putnam Publishing Group. [Google Scholar] [Crossref]

8. Arnold, J. (2004). The congruence problem in John Holland’s theory of vocational decisions. Journal of Occupational and Organizational Psychology, 77. [Google Scholar] [Crossref]

9. Bakkar (2019). The effect of a counseling microskills course on the mastery level of communication skills among Omani career counselors. Sultan Qaboos University, Sultanate of Oman. [Google Scholar] [Crossref]

10. Baker, D. (2009). Choosing a vocation at 100: Time, change, and context. The Career Development Quarterly: Special Section: The 100th Anniversary of Vocational Guidance, 57(3), 199–206. [Google Scholar] [Crossref]

11. Bandura, A. (1977). Social learning theory. Prentice-Hall. [Google Scholar] [Crossref]

12. Baranda, R. M. C. (2019). Adolescent behavior characteristics and academic performance: Basis for a guidance program. VMUF Graduate School, San Carlos City, Pangasinan. [Google Scholar] [Crossref]

13. Binet, A., & Simon, T. (1916). The development of intelligence in children. Williams & Wilkins. (Reprinted 1973, New York: Arno Press; 1983, Salem, NH: Ayer Company). [Google Scholar] [Crossref]

14. Brewer, J. M. (1942). History of vocational guidance: Origins and early development. Harper and Brothers. [Google Scholar] [Crossref]

15. Cabrera et al. (2010). Multiple intelligences as predictors of academic performance in accounting: Evidence from a private university in the Philippines. Far Eastern University, Manila, Philippines. [Google Scholar] [Crossref]

16. Cattell, R. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology. [Google Scholar] [Crossref]

17. Cherry, K. (2019). Gardner’s theory of multiple intelligences. Verywell Mind. https://www.verywellmind.com/gardners-theory-of-multiple-intelligences-2795161 [Google Scholar] [Crossref]

18. Congress of the Philippines. (2012). Republic Act No. 10533: An Act Enhancing the Philippine Basic Education System by Strengthening Its Curriculum and Increasing the Number of Years for Basic Education, Appropriating Funds Therefor and for Other Purposes. https://lawphil.net/statutes/repacts/2013/ra_10533_2013.html [Google Scholar] [Crossref]

19. Congress of the Philippines. (2018). Republic Act No. 11206: An Act Establishing a Career Guidance and Counseling Program for All Secondary Schools and Appropriating Funds Therefor. https://lawphil.net/statutes/repacts/repacts.html [Google Scholar] [Crossref]

20. Davis, J. B. (1956). The saga of a schoolmaster: An autobiography. Boston University Press. [Google Scholar] [Crossref]

21. Dela Cruz, M. V. (2003). Multiple intelligences of graduating secondary students. VMUF Graduate School, San Carlos City, Pangasinan. [Google Scholar] [Crossref]

22. Fancher, R. E., & Rutherford, A. (2012). Pioneers of psychology. W. W. Norton & Company. [Google Scholar] [Crossref]

23. Garlick, D. (2002). Intelligence and the brain: Solving the mystery of why people differ in IQ and how a child can be a genius. Aesop Press. [Google Scholar] [Crossref]

24. Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books. [Google Scholar] [Crossref]

25. Gottfredson, L. S. (2006). Social consequences of group differences in cognitive ability. In C. E. Flores-Mendoza & R. Colom (Eds.), Introdução à psicologia das diferenças individuais (pp. 433–456). ArtMed Publishers. [Google Scholar] [Crossref]

26. Hernández-Torrano et al. (2014). The theory of multiple intelligences in the identification of high-ability students. Anales de Psicología. ISSN edición impresa: 0212-9728; ISSN edición web: 1695-2294. [Google Scholar] [Crossref]

27. Holland, J. L. (1997). Making vocational choices. [Google Scholar] [Crossref]

28. Hughes, & Moore. (1993). Thinking in the future tense: Leadership skills for a new age. Simon and Schuster. [Google Scholar] [Crossref]

29. McLeod, S. (2018). Erik Erikson’s stages of psychosocial development. Simply Psychology. https://www.simplypsychology.org/Erik-Erikson.html [Google Scholar] [Crossref]

30. McMahon et al. (2010). Multiple intelligences and reading achievement: An examination of the Teele Inventory of Multiple Intelligences. pp. 41–52. [Google Scholar] [Crossref]

31. Mettetal et al. (2010). Attitudes toward a multiple intelligences curriculum. pp. 115–122. [Google Scholar] [Crossref]

32. Naoe (2010). The multiple intelligences of Grade V pupils: Bases for the proposed learning enhancement program of David Elementary School. E-International Scientific Research Journal, 2(1). ISSN 2094-1749. [Google Scholar] [Crossref]

33. Pam, N. (2013). Cattell-Horn theory of intelligence. Psychology Dictionary. https://psychologydictionary.org/cattell-horn-theory-of-intelligence/ [Google Scholar] [Crossref]

34. Piaget, J. (1972). The psychology of the child. Basic Books. [Google Scholar] [Crossref]

35. Sternberg, C. (1998). Accelerated learning. Dell Publishing. [Google Scholar] [Crossref]

36. Szymanowicz et al. (2013). Gender and gender role differences in self- and other-estimates of multiple intelligences. pp. 399–423. [Google Scholar] [Crossref]

37. Terman, L. M., & Merrill, M. A. (1960). Stanford-Binet Intelligence Scale: Manual for the third revision, Form L-M. Houghton Mifflin. [Google Scholar] [Crossref]

38. Vernon, P. E. (1979). Intelligence: Heredity and environment. W. H. Freeman & Company. [Google Scholar] [Crossref]

39. Williams, C. (2011). Research methods. Journal of Business & Economics Research (JBER), 5(3). [Google Scholar] [Crossref]

Metrics

Views & Downloads

Similar Articles