Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff

The abundance of literature on effective teaching that relates to student achievement bears witness to the ongoing quest for a better understanding of the effect of lecturers’ characteristics and attributes (inputs) on students’ learning gain. What is rarely looked at is how lecturers actually perfo...

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Main Authors:	Hassanuddin, Nor Aini, Mat Zin, Sakinah, Yusoff, Rohana
Format:	Article
Language:	English
Published:	Research Management Institute (RMI) 2013
Subjects:	Teaching aids and devices Professional aspects of teaching and school administrators. Vocational guidance
Online Access:	http://ir.uitm.edu.my/id/eprint/13109/ http://ir.uitm.edu.my/id/eprint/13109/1/AJ_NOR%20AINI%20HASSANUDDIN%20SMRJ%2013%201.pdf

id	uitm-13109
recordtype	eprints
spelling	uitm-131092016-06-30T08:25:47Z http://ir.uitm.edu.my/id/eprint/13109/ Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff Hassanuddin, Nor Aini Mat Zin, Sakinah Yusoff, Rohana Teaching aids and devices Professional aspects of teaching and school administrators. Vocational guidance The abundance of literature on effective teaching that relates to student achievement bears witness to the ongoing quest for a better understanding of the effect of lecturers’ characteristics and attributes (inputs) on students’ learning gain. What is rarely looked at is how lecturers actually performs in the classroom and how that performance translates into students’ learning advantage. The aim of this paper is to provide an in-depth analysis of the relationship between the lecturers’ teaching contribution and students’ learning gain. The methods of analysis start with establishing construct validity of the instrument through confirmatory factor analysis (CFA), using Analysis of Moment Structures software (AMOS). Data from this study were further analyzed with Structural Equation Modelling (SEM). All four dimensions of the lecturers’ teaching attributes; namely rapport, clear explanation, preparation and organization, and feedback are considered as independent variables and students’ learning gain as the dependent variable. The results of this study indicate that among the four teaching dimensions examined, the significant predictors of students’ learning gain in the process of teaching and learning are clear explanation and lecturers’ feedback. Research Management Institute (RMI) 2013 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/13109/1/AJ_NOR%20AINI%20HASSANUDDIN%20SMRJ%2013%201.pdf Hassanuddin, Nor Aini and Mat Zin, Sakinah and Yusoff, Rohana (2013) Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff. Social and Management Research Journal, 10 (1). pp. 77-98. ISSN 1675-7017
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Teaching aids and devices Professional aspects of teaching and school administrators. Vocational guidance
spellingShingle	Teaching aids and devices Professional aspects of teaching and school administrators. Vocational guidance Hassanuddin, Nor Aini Mat Zin, Sakinah Yusoff, Rohana Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff
description	The abundance of literature on effective teaching that relates to student achievement bears witness to the ongoing quest for a better understanding of the effect of lecturers’ characteristics and attributes (inputs) on students’ learning gain. What is rarely looked at is how lecturers actually performs in the classroom and how that performance translates into students’ learning advantage. The aim of this paper is to provide an in-depth analysis of the relationship between the lecturers’ teaching contribution and students’ learning gain. The methods of analysis start with establishing construct validity of the instrument through confirmatory factor analysis (CFA), using Analysis of Moment Structures software (AMOS). Data from this study were further analyzed with Structural Equation Modelling (SEM). All four dimensions of the lecturers’ teaching attributes; namely rapport, clear explanation, preparation and organization, and feedback are considered as independent variables and students’ learning gain as the dependent variable. The results of this study indicate that among the four teaching dimensions examined, the significant predictors of students’ learning gain in the process of teaching and learning are clear explanation and lecturers’ feedback.
format	Article
author	Hassanuddin, Nor Aini Mat Zin, Sakinah Yusoff, Rohana
author_facet	Hassanuddin, Nor Aini Mat Zin, Sakinah Yusoff, Rohana
author_sort	Hassanuddin, Nor Aini
title	Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff
title_short	Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff
title_full	Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff
title_fullStr	Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff
title_full_unstemmed	Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff
title_sort	modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / nor aini hassanuddin, sakinah mat zin and rohana yusoff
publisher	Research Management Institute (RMI)
publishDate	2013
url	http://ir.uitm.edu.my/id/eprint/13109/ http://ir.uitm.edu.my/id/eprint/13109/1/AJ_NOR%20AINI%20HASSANUDDIN%20SMRJ%2013%201.pdf
first_indexed	2023-09-18T22:49:53Z
last_indexed	2023-09-18T22:49:53Z
_version_	1777417473117650944

Modelling predictors of students’ learning gain - an empirical evidence using structural equation modelling / Nor Aini Hassanuddin, Sakinah Mat Zin and Rohana Yusoff

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