Quality design for maritime studies programme in the digital era

Competition among academic institutions for students and Industry 4.0 have spurred institutions to actively improve undergraduates’ learning experiences and outcomes. The objectives of this research are to identify the quality dimensions of maritime studies programmes from students’ perspectives and...

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Main Authors: Koh, Le Yi, Li, Kevin, Chia, Ying Ying, Yuen, Kum Fai
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/160317
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1603172022-07-19T04:57:08Z Quality design for maritime studies programme in the digital era Koh, Le Yi Li, Kevin Chia, Ying Ying Yuen, Kum Fai School of Civil and Environmental Engineering Engineering::Maritime studies Quality Dimensions Satisfaction Competition among academic institutions for students and Industry 4.0 have spurred institutions to actively improve undergraduates’ learning experiences and outcomes. The objectives of this research are to identify the quality dimensions of maritime studies programmes from students’ perspectives and examine their impacts on learning outcomes which include satisfaction, engagement, and academic performance. After reviewing the literature, six quality dimensions containing 29 measurement items were generated. An online survey was conducted on maritime students from Nanyang Technological University, Singapore. Thereafter, exploratory factor analysis and path analysis were used to analyse the survey data. The exploratory factor analysis produces a six-factor solution that confirms the proposed quality dimensions. Further, the quality dimension with the most impact on student satisfaction is (1) technology integration, followed by (2) industrial exposure, (3) learning and teaching environment, (4) industry-aligned & innovative curriculum, (5) faculty member competencies, and finally (6) supporting activities. In addition, student satisfaction positively influences engagement and academic performance. Further, engagement positively influences academic performance. The developed quality dimension model can serve as a measurement tool for maritime institutions to assess the quality of their programme and update their curriculums respectively to meet students’ expectations and learning outcomes. 2022-07-19T04:57:08Z 2022-07-19T04:57:08Z 2021 Journal Article Koh, L. Y., Li, K., Chia, Y. Y. & Yuen, K. F. (2021). Quality design for maritime studies programme in the digital era. Maritime Policy and Management, 1-20. https://dx.doi.org/10.1080/03088839.2021.1983220 0308-8839 https://hdl.handle.net/10356/160317 10.1080/03088839.2021.1983220 2-s2.0-85116794975 1 20 en Maritime Policy and Management © 2021 Informa UK Limited, trading as Taylor & Francis Group. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Maritime studies
Quality Dimensions
Satisfaction
spellingShingle Engineering::Maritime studies
Quality Dimensions
Satisfaction
Koh, Le Yi
Li, Kevin
Chia, Ying Ying
Yuen, Kum Fai
Quality design for maritime studies programme in the digital era
description Competition among academic institutions for students and Industry 4.0 have spurred institutions to actively improve undergraduates’ learning experiences and outcomes. The objectives of this research are to identify the quality dimensions of maritime studies programmes from students’ perspectives and examine their impacts on learning outcomes which include satisfaction, engagement, and academic performance. After reviewing the literature, six quality dimensions containing 29 measurement items were generated. An online survey was conducted on maritime students from Nanyang Technological University, Singapore. Thereafter, exploratory factor analysis and path analysis were used to analyse the survey data. The exploratory factor analysis produces a six-factor solution that confirms the proposed quality dimensions. Further, the quality dimension with the most impact on student satisfaction is (1) technology integration, followed by (2) industrial exposure, (3) learning and teaching environment, (4) industry-aligned & innovative curriculum, (5) faculty member competencies, and finally (6) supporting activities. In addition, student satisfaction positively influences engagement and academic performance. Further, engagement positively influences academic performance. The developed quality dimension model can serve as a measurement tool for maritime institutions to assess the quality of their programme and update their curriculums respectively to meet students’ expectations and learning outcomes.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Koh, Le Yi
Li, Kevin
Chia, Ying Ying
Yuen, Kum Fai
format Article
author Koh, Le Yi
Li, Kevin
Chia, Ying Ying
Yuen, Kum Fai
author_sort Koh, Le Yi
title Quality design for maritime studies programme in the digital era
title_short Quality design for maritime studies programme in the digital era
title_full Quality design for maritime studies programme in the digital era
title_fullStr Quality design for maritime studies programme in the digital era
title_full_unstemmed Quality design for maritime studies programme in the digital era
title_sort quality design for maritime studies programme in the digital era
publishDate 2022
url https://hdl.handle.net/10356/160317
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