Research Article

Multiple Intelligences and Perceptual Learning Style Preferences of Education and Engineering Students

Jordan Miranda Pocaan 1 *
More Detail
1 Sorsogon State University, Sorsogon City, PHILIPPINES* Corresponding Author
International Journal of Professional Development, Learners and Learning, 4(2), 2022, ep2209, https://doi.org/10.30935/ijpdll/12327
Published: 10 August 2022
OPEN ACCESS   1574 Views   1326 Downloads
Download Full Text (PDF)

ABSTRACT

Effective learning varies based on the students’ different learning styles and intelligence across the curriculum. This research determines the learning styles and multiple intelligences of 250 second-year education students and 200 engineering students. It employed a stratified sampling technique in the data collection process. It reveals that individual, group, auditory, and visual learning are among engineering students’ most common learning styles, while auditory, visual, and kinesthetic learning were the most prevalent among education students. Furthermore, engineering students most commonly demonstrated interpersonal, mathematical, and kinesthetic intelligence. Moreover, visual, linguistic, interpersonal, and kinesthetic intelligence were education students’ most commonly exhibited intelligence. Most intelligence types and learning styles of education and engineering students show a moderate positive correlation. The results of this study suggest that employing teaching strategies based on learning styles and multiple intelligences may positively affect students’ achievement. Likewise, the academic institutions must also consider the multiple intelligences in admitting students for any specific courses.

CITATION (APA)

Pocaan, J. M. (2022). Multiple Intelligences and Perceptual Learning Style Preferences of Education and Engineering Students. International Journal of Professional Development, Learners and Learning, 4(2), ep2209. https://doi.org/10.30935/ijpdll/12327

REFERENCES

  1. Abdelhadi, A., Ibrahim, Y., & Nurunnabi, M. (2019). Investigating engineering student learning style trends by using multivariate statistical analysis. Education Sciences, 9(1), 58. https://doi.org/10.3390/educsci9010058
  2. Abdi, A., Laei, S., & Ahmadyan, H. (2013). The effect of teaching strategy based on multiple intelligences on students’ academic achievement in science course. Universal Journal of Educational Research, 1(4), 281-284. https://doi.org/10.13189/ujer.2013.010401
  3. Ahvan, Y. R., & Pour, H. Z. (2016). The correlation of multiple intelligences for the achievements of secondary students. Educational Research and Reviews, 11(4), 141-145. https://doi.org/10.5897/ERR2015.2532
  4. Armstrong, T. (2013). Kecerdasan multipel di dalam kelas [Multiple intelligences in the classroom]. Indeks.
  5. Arum, D. P., Kusmayadi, T. A., & Pramudya, I. (2018). Students’ logical-mathematical intelligence profile. Journal of Physics: Conference Series, 1008(1), 012071. https://doi.org/10.1088/1742-6596/1008/1/012071
  6. Asmorowati, D., Wardani, S., & Mahatmanti, F. (2021). Analysis of student science process skills in the practicum of physical chemistry based on linguistic and interpersonal intelligence. International Journal of Active Learning, 6(1), 34-40.
  7. Barkana, B., Gupta, N., & Hmurcik, L. (2009). Improving tools and techniques of teaching graduate engineering courses based on students’ learning styles and multiple intelligences. In Proceedings of the 2009 Annual Conference & Exposition. https://doi.org/10.18260/1-2--4928
  8. Childs-Kean, L., Edwards, M., & Smith, M. D. (2020). Use of learning style frameworks in health science education. American Journal of Pharmaceutical Education, 84(7), ajpe7885. https://doi.org/10.5688/ajpe7885
  9. Ekwueme, C. O., Ekon, E. E., & Ezenwa-Nebife, D. C. (2015). The impact of hands-on-approach on student academic performance in basic science and mathematics. Higher Education Studies, 5(6), 47-51. https://doi.org/10.5539/hes.v5n6p47
  10. Flores, M. A., Simão, A. M. V., Barros, A., & Pereira, D. (2015). Perceptions of effectiveness, fairness, and feedback of assessment methods: A study in higher education. Studies in Higher Education, 40(9), 1523-1534. https://doi.org/10.1080/03075079.2014.881348
  11. Gholami, S., & Bagheri, M. S. (2013). Relationship between VAK learning styles and problem-solving styles regarding gender and students’ fields of study. Journal of Language Teaching and Research, 4(4), 700. https://doi.org/10.4304/jltr.4.4.700-706
  12. Hasanudin, C., & Fitrianingsih, A. (2018). The implementation of flipped classroom using screencast-o-matic to improve students’ verbal linguistic intelligence. International Journal of Engineering & Technology, 7(4), 435-439. https://doi.org/10.14419/ijet.v7i4.15.23602
  13. Hasnidar, H., Sulihin, S., & Elihami, E. (2020). Developing of multiple intelligences in students with the two stay two strays type. Edumaspul: Jurnal Pendidikan [Edumaspul: Journal of Education], 4(2), 7-12.
  14. Hayes, A. (2021). Stratified random sampling. Investopedia. https://www.investopedia.com/terms/stratified_random_sampling
  15. Husin, M. B., Ahmad, H. B., & Hamzah, M. B. (2019). Video application to accommodate students’ learning style for moral education in teacher education institutes. Indonesian Journal of Electrical Engineering and Computer Science, 16(1), 349-354. https://doi.org/10.11591/ijeecs.v16.i1.pp349-354
  16. Jalinus, N., Ganefri, S., Wulansari, R. E., Nabawi, R. A., Yunos, J. M., & Kiong, T. T. (2020). Comparison of learning style between engineering and non-engineering students in vocational education. International Journal of Innovation, Creativity and Change, 13(12), 283-294.
  17. Kapadia, R. J. (2008). Teaching and learning styles in engineering education. In Proceedings of the 2008 38th Annual Frontiers in Education Conference. https://doi.org/10.1109/FIE.2008.4720326
  18. Kezar, A. (2001). Theory of multiple intelligences: Implications for higher education. Innovative Higher Education, 26(2), 141-154. https://doi.org/10.1023/A:1012292522528
  19. Kinsella, K. (1995). Understanding and empowering diverse learners in ESL classrooms. In J. M. Reid (Ed.), Learning styles in the ESL/EFL classroom (pp. 170-194). Heinle and Heinle Publishers.
  20. Kobandaha, P. E., Fuad, Y., & Masriyah, M. (2019). Algebraic reasoning of students with logical-mathematical intelligence and visual-spatial intelligence in solving algebraic problems. International Journal of Trends in Mathematics Education Research, 2(4), 207-211. https://doi.org/10.33122/ijtmer.v2i4.138
  21. Landrum, T. J., & McDuffie, K. A. (2010). Learning styles in the age of differentiated instruction. Exceptionality, 18(1), 6-17, https://doi.org/10.1080/09362830903462441
  22. Larkin-Hein, T., & Budny, D. D. (2001). Research on learning style: Applications in the physics and engineering classrooms. IEEE Transactions on Education, 44(3), 276-281. https://doi.org/10.1109/13.941000
  23. Lopes, D. C., Gerolamo, M. C., Del Prette, Z. A. P., Musetti, M. A., & Del Prette, A. L. M. I. R. (2015). Social skills: A key factor for engineering students to develop interpersonal skills. International Journal of Engineering Education, 31(1), 405-413.
  24. Mahmood, S. (2020). Instructional strategies for online teaching in COVID-19 pandemic. Human Behavior and Emerging Technologies, 3(1), 199-203. https://doi.org/10.1002/hbe2.218
  25. Mel, B. N. (2021). The Gardner’s multiple intelligences and academic performance among the second-semester mechanical engineering students in Politeknik Kuching Sarawak: A correlation analysis. International Journal of Advanced Research in Education and Society, 3(1), 132-141.
  26. Menekse, M., & Chi, M. T. (2019). The role of collaborative interactions versus individual construction on students’ learning of engineering concepts. European Journal of Engineering Education, 44(5), 702-725. https://doi.org/10.1080/03043797.2018.1538324
  27. Nadrljanski, M., Buzaši, M., & Zokić, M. (2009). Development of spatial-visual intelligence. In Proceedings of the 2nd International Conference “The Future of Information Sciences: INFuture2009–Digital Resources and Knowledge Sharing”.
  28. Nja, C. O., Umali, C. U. B., Asuquo, E. E., & Orim, R. E. (2019). The influence of learning styles on academic performance among science education undergraduates at the University of Calabar. Educational Research and Reviews, 14(17), 618-624. https://doi.org/10.5897/ERR2019.3806
  29. Oxford, R. L. (1995). Gender differences in language learning styles: What do they mean? In J. M. Reid (Ed.), Learning styles in the ESL/EFL classroom (pp. 34-46). Heinle and Heinle Publishers.
  30. Peacock, M. (2001). Match or mismatch? Learning styles and teaching styles in EFL. International Journal of Applied Linguistics, 11(1), 1-20. https://doi.org/10.1111/1473-4192.00001
  31. Perez, M. M. P., & Ruz, N. R. (2014). Intrapersonal intelligence and motivation in foreign language learning. European Scientific Journal, 10(17), 142-150.
  32. Salam, M., Ibrahim, N., & Sukardjo, M. (2019). Effects of instructional models and spatial intelligence on the mathematics learning outcomes after controlling for students’ initial competency. International Journal of Instruction, 12(3), 699-716. https://doi.org/10.29333/iji.2019.12342a
  33. Sanjanaashree, P., & Soman, K. P. (2014). Language learning for visual and auditory learners using scratch toolkit. In Proceedings of the 2014 International Conference on Computer Communication and Informatics (pp. 1-5). https://doi.org/10.1109/ICCCI.2014.6921765
  34. Sellars, M. (2006). The role of intrapersonal intelligence in self-directed learning. Issues in Educational Research, 16(1), 95-119.
  35. Sener, S., & Cokcaliskan, A. (2018). An investigation between multiple intelligences and learning styles. Journal of Education and Training Studies, 6(2), 125-132. https://doi.org/10.11114/jets.v6i2.2643
  36. Sternberg, R. J., & Kibelsbeck, J. G. (2021). Teaching musical learning as problem-solving: Applying a theory of musical intelligence to musical instruction. Psychology of Music, 03057356211055215. https://doi.org/10.1177/03057356211055215
  37. Syofyan, R., & Siwi, M. K. (2018). The impact of visual, auditory, and kinesthetic learning styles on economics education teaching. In Proceedings of the 1st International Conference on Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (pp. 642-649). https://doi.org/10.2991/piceeba-18.2018.17
  38. Syurfah, A. (2007). Multiple intelligences for islamic teaching. Cerdas Interaktif.
  39. Tomlinson, C. A., Brighton, C., Hertberg, H., Callahan, C. M., Moon, T. R., Brimijoin, K., & Reynolds, T. (2003). Differentiating instruction in response to student readiness, interest, and learning profile in academically diverse classrooms: A review of literature. Journal for the Education of the Gifted, 27(2-3), 119-145. https://doi.org/10.1177/016235320302700203
  40. Vermote, B., Aelterman, N., Beyers, W., Aper, L., Buysschaert, F., & Vansteenkiste, M. (2020). The role of teachers’ motivation and mindsets in predicting a (de)motivating teaching style in higher education: A circumplex approach. Motivation and Emotion, 44(2), 270-294. https://doi.org/10.1007/s11031-020-09827-5
  41. Willmot, P., & Colman, B. (2016). Interpersonal skills in engineering education. In Proceedings of the AAEE2016 CONFERENCE.
  42. Wirdianti, N., Komala, R., & Miarsyah, M. (2019). Naturalist intelligence and personality: An understanding students’ responsible environmental behavior. JPBI (Jurnal Pendidikan Biologi Indonesia [Indonesian Journal of Biology Education]), 5(2), 229-236. https://doi.org/10.22219/jpbi.v5i2.7193
  43. Yavich, R., & Rotnitsky, I. (2020). Multiple intelligences and success in school studies. International Journal of Higher Education, 9(6), 107-117. https://doi.org/10.5430/ijhe.v9n6p107
  44. Young, B. E. (2003). Multiple intelligences learning and equity in middle school mathematics education [PhD dissertation, Curtin University].