Abstract

This study was carried out to confirm that Malaysian Gen Z visual learners preferred technological inclined teaching approach in their learning style. It involved respondents from a private university college in Malaysia which has 9 branches all over the country. A total of 500 questionnaires were distributed and 486 were analysed. The findings showed that 169 cases were identified as visual learners. These cases were then, used to test in confirming the prediction. Based on the analyses using Smart PLS, it was confirmed that Gen Z in Malaysia are visual learners who preferred active learning activities which are technological inclined. This confirmation was made based on the outcome of two predictive ability using the Stone-Geisser's Q2 and PLS Predict Q2. Since the prediction accuracy of the proposal was established, therefore, it was concluded that Malaysian Gen Z Visual Learners prefer technological inclined approaches in their learning._

Details

Title
Predicting Preferred Learning Styles on Teaching Approaches Among Gen Z Visual Learner
Author
Azman, Othman Mohd Noor 1 ; Anom, Abdul Rashid Mas 1 ; Rosnita, Ismail Ida 2 ; Aziz, Mohd Faiq Abd 3 ; Saifulrizan, Norizan 4 ; Mohamad, Saad Sarah Artikah

 Kolej Universiti Poly-Tech MARA, Faculty of Business, Accounting and Communication, 56100 Kuala Lumpur, Malaysia 
 Graduate Business School, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia 
 Faculty of Educational Studies, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia 
 Kolej Universiti Poly-Tech MARA, Institute of Professional Studies, 56100 Kuala Lumpur, Malaysia 
Pages
2969-2978
Section
Research Article
Publication year
2021
Publication date
2021
Publisher
Ninety Nine Publication
e-ISSN
13094653
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2623465452
Copyright
© 2021. This work is published under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.