Analysing Learning Styles for Engineering Capstone Projects: 4MAT Analysis on Student Outcomes and Perceptions

Authors

  • Hamad Al Jassmi
  • Babitha Philip
  • Luqman Ali
  • Mohammad Issam Younes

Keywords:

Bayesian Belief Networks; Capstone project; Education; Engineering; 4MAT system

Abstract

Capstone projects are integrated into engineering curricula to combine various subjects and impart essential professional skills that may be difficult to teach solely through traditional lecture-based courses. These projects play a crucial role in preparing students for their future roles as professional engineers, thereby significantly impacting a university’s industry reputation and ranking. The challenge in engineering education lies in aligning the teaching approach of educators with the diverse learning styles of their students. This study aims to examine the impact of the learning style of the students measured by their watching-doing scores using the 4MAT tool, on the attainment of the benefits of the graduation project (GP). The Bayesian Belief Networks (BBN) approach was adopted in this study to analyse the data collected from 271 students enrolled in both GP1 and GP2 semesters in the engineering department of United Arab Emirates University. Results show that regardless of learning style, both watching and doing category students share similar perspectives on various aspects of the GP course, such as the optimal team performance ratio. However, when assessing the overall effectiveness of the GP programme, doing students exhibit a higher level of agreement than watching students. The study provides valuable insights to faculty members, helping them navigate the optimal balance between providing mentorship and fostering students’ independence during the different stages of their final-year design capstone projects. These findings underscore the importance of tailored educational strategies to accommodate diverse learning styles, contributing to more effective engineering education and better-prepared graduates. 

https://doi.org/10.26803/ijlter.23.8.20

References

Abdullah, G., Arifin, A., Saro’i, M., & Uhai, S. (2024). Assessing the influence of learning styles, instructional strategies, and assessment methods on student engagement in college-level science courses. International Education Trend Issues, 2(2), 142–150. https://doi.org/10.56442/ieti.v2i2.466

Alaskar, H. (2023). The role of online learning in enhancing the performance of introverted female Saudi students in translation. Saudi Journal of Language Studies. https://doi.org/10.1108/sjls-12-2022-0092

Dick, W., Carey, L., & Carey, J. O. (2005). The systematic design of instruction. Harper Collins.

Elwell, G. R., Dickinson, T. E., & Dillon, M. D. (2021). A postgraduate capstone project: Impact on student learning and organizational change. Industry and Higher Education, 36(3), 334–343. https://doi.org/10.1177/09504222211036584

Felder, R. M., & Spurlin, J. (2005). Applications, reliability and validity of the index of learning styles. International Journal of Engineering Education, 21(1), 103–112.

Halim, M. H. A., Buniyamin, N., Imazawa, A., Naoe, N., & Ito, M. (2014). The role of final year project and capstone project in undergraduate engineering education in Malaysia and Japan. 2014 IEEE 6th Conference on Engineering Education (ICEED), 1–6. https://doi.org/10.1109/ICEED.2014.7194678

He, C., Liu, W., & Ren, J. (2022). Bayesian network structure learning: A review. 2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT), 1–7. https://doi.org/10.1109/ACAIT56212.2022.10137915

Howe, S., & Goldberg, J. (2019). Engineering capstone design education: Current Practices, emerging trends, and successful strategies. In D. Schaefer, G. Coates, & C. Eckert (Eds.), Design education today: Technical contexts, programs and best practices (pp. 115–148). Springer International Publishing. https://doi.org/10.1007/978-3-030-17134-6_6

Irfan, O. M., Almufadi, F. A., & Brisha, A. M. (2016). Effect of using 4MAT method on academic achievement and attitudes toward engineering economy for undergraduate students. International Journal of Vocational and Technical Education, 8(1), 1–11.

Kapadia, R. J. (2008). Teaching and learning styles in engineering education. 2008 38th Annual Frontiers in Education Conference, T4B-1-T4B-4. https://doi.org/10.1109/FIE.2008.4720326

Keshavarz, M. H., & Hulus, A. (2019). The effect of students’ personality and learning styles on their motivation for using blended learning. Advances in Language and Literary Studies, 10(6), 78–88. https://doi.org/10.7575/aiac.alls.v.10n.6p.78

Laurila-Pant, M., Mäntyniemi, S., Venesjärvi, R., & Lehikoinen, A. (2019). Incorporating stakeholders’ values into environmental decision support: A Bayesian Belief Network approach. Science of the Total Environment, 697, 134026. https://doi.org/10.1016/j.scitotenv.2019.134026

Naveen, H. M. (2021). Enhancement of accountability in learning among engineering graduates through 4MAT model of instruction. International Journal of Scientific Research in Science and Technology, 8(5), 116–124.

Nicoll-Senft, J. M., & Seider, S. N. (2009). Assessing the Impact of the 4MAT Teaching Model Across Multiple Disciplines in Higher Education. College Teaching, 58(1), 19–27. https://doi.org/10.1080/87567550903245623

Obaya-Valdivia, A. E., Parrales-Vargas, D., & Osorio, C. M. (2023). Different learning styles and the 4 Mat in Science. International Journal of Education (IJE), 11(3). https://doi.org/10.5121/ije.2023.11304

Panezai, R. A., & Mahmood, A. (2022). Effect of 4MAT Cycle on the academic achievements of the students in the subject of biology at secondary level in Baluchistan. International Research Journal of Management and Social Sciences, 3(1), 142–148. https://doi.org/10.53575/irjmss.v3.1(22)15.142-148

Parul, Sarin, J., Sheoran, P., & Phanden, R. K. (2021). Alliance in teaching-learning strategies and learning styles. In N. Kumar, S. Tibor, R. Sindhwani, J. Lee, & P. Srivastava (Eds.), Advances in interdisciplinary engineering (pp. 67–76). Springer Singapore. https://doi.org/10.1007/978-981-15-9956-9_7

Pascasio, P. P., Miraran, L. A. M., Blin, A. S., Cabachete Jr, H. P., Ferreras, J. D. D., & Jimenez, P. L. D. (2020). The unsung prodigy: Navigating through the introspective world of introverts. International Journal of Research Publications, 44(1), 26.

Qattawi, A., Alafaghani, A., Ablat, M. A., & Jaman, M. S. (2019). A multidisciplinary engineering capstone design course: A case study for design-based approach. International Journal of Mechanical Engineering Education, 49(3), 223–241. https://doi.org/10.1177/0306419019882622

Rofi’i, A. (2017). A comparative analysis on extrovert and introvert students towards their speaking skill. ETERNAL (English Teaching Journal), 8(2). https://doi.org/10.26877/eternal.v8i2.3046

Scott, E., Rodríguez, G., Soria, Á., & Campo, M. (2014). Are learning styles useful indicators to discover how students use Scrum for the first time? Computers in Human Behavior, 36, 56–64. https://doi.org/10.1016/j.chb.2014.03.027

Sullivan, D., Colburn, M., & Fox, D. E. (2013). The influence of learning styles on student perception and satisfaction in a highly collaborative team taught course. American Journal of Business Education (AJBE), 6(4), 429–438. https://doi.org/10.19030/ajbe.v6i4.7942

Tezcan, G., & Güvenç, H. (2017). The effects of 4MAT teaching model and whole brain model on academic achievement in science. Education & Science/Egitim ve Bilim, 42(192). https://doi.org/10.15390/eb.2017.7085

Tuysuzoglu, G., Moarref, N., Cataltepe, Z., Misirli, A. T., & Yaslan, Y. (2015). Analysing graduation project rubrics using machine learning techniques. 2015 10th International Conference on Computer Science & Education (ICCSE), 19–24. https://doi.org/10.1109/iccse.2015.7250211

Ward, T. A. (2013). Common elements of capstone projects in the world’s top-ranked engineering universities. European Journal of Engineering Education, 38(2), 211–218. https://doi.org/10.1080/03043797.2013.766676

Yanti, A. W., Budayasa, I. K., Sulaiman, R., Sutini, S., & Hasanah, A. (2021). Statistical reasoning ability analysis observed from 4MAT learning style system. AIP Conference Proceedings, 2330(1). https://doi.org/10.1063/5.0043454

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Published

2024-08-30