Kodsiah Mohd Juzad, Shamsul Bahri Mohd Tamrin, Ng Yee Guan, Rozanah Ab. Rahman, Norashiken Othman, Siti Hawa Mohd Kasmuri Haris...
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Ummi Noor Nazahiah ABDULLAH, Norashiken OTHMAN
School of Manufacturing Engineering, University Malaysia Perlis, Kampus Pauh Putra, 02600 Arau, Perlis.
Page 1 – 7 | Vol. 3, No. 1 (2018) | Available online on 1 June 2018
Abstract
Imbalance proportion of examination results between theory and coursework marks in engineering courses among engineering students become central issue among educators in higher learning institutions. This scenario gives indication that possibly the learning and teaching methods used in the class not accounted the students’ cognitive background and capability. So that, not every students received the benefits from teaching and learning process. This study investigate and emphasize the significant of understanding the cognitive capability among students as the target audience before educating them using teaching and learning method according to their cognitive capability. Two types of questionnaire were distributed to the two groups of engineering students based on neuro-linguistic programming (NLP) and multiple intelligences (MI) theory and methods. The answers were analysed using data categorizing and data entry technique. The results show that both students group dominated the kinaesthetic and digital auditory according to NLP principles while high percentage in body kinaesthetic and interpersonal category according to MI. However, the other parameters that present 10% feedback should be considered as input in teaching and learning methods because it is considered as high percentage. The contribution of this study not just for teaching and learning process among young students but also significant for ergonomics training that involving people from different groups of age, experience and culture. In future, further investigation will be conducted to examine the effectiveness of NLP and MI method implementation in teaching and learning process among engineering students using the results from this study.
Keywords
Cognitive, NLP, Multiple Intelligences, Engineering students
Acknowledgement
This study was supported by University Malaysia Perlis (UniMAP). I would like to express my
sincere grateful to School of Manufacturing Engineering, and Dr. Mohd Zakimi Zakaria. Many thankful also to students of School of Manufacturing Engineering for participates this research.
© 2022 Human Factors and Ergonomics Society (HFEM). All rights reserved.
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Human Factors & Ergonomics Journal (HFEJ), eISSN: 2590-3705 is the official Journal of Human Factors and Ergonomics Society Malaysia. The journal is published on a biannual basis. HFEJ aims to address current research in the field of Ergonomics in addition to the broad coverage of cognitive ergonomics, user experience, physical ergonomics and others such as transportation, industrial design and industrial engineering. HFEJ is a member of, and subscribes to the principles of the COPE (Committee on Publication Ethics), as such we only accept original work.