Teaching effectiveness has been a key concern for universities since it pertains to the achievements of skills required for the competitive job market. This study aims to identify the factors that might influence teaching effectiveness. For the purpose of the study, data were collected from the seventh semester students of manufacturing engineering programme and product design engineering programme of one university in the northern Peninsular of Malaysia. A structured questionnaire was used and the responses were gathered with a five point Likert Scale. 130 set of questionnaires were collected and were then analysed with partial least square structural equation modelling (PLS SEM) method. The PLS findings revealed that lecturers’ ability, course characteristics and teaching methods & materials are strong predictors of teaching effectiveness. The outcome of this PLS analysis may pave the way for universities to develop new guidelines so as to improve teaching effectiveness. Consequently, this effective teaching will equip the university graduates with the necessary knowledge and skills required by employers.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.