Staff View: Predicting learnersa agility and readiness for future learning ecosystem

Predicting learnersa agility and readiness for future learning ecosystem

Agility and future readiness are fundamental 21st-century skills that could guide university students globally to thriving and benefiting from a VUCA—volatile, uncertain, complex, and ambiguous—world. The ability to respond flexibly, make informed decisions, and adapt to rapid change reflects future...

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Main Authors:	Ab Jalil, Habibah, Ismail, Ismi Arif, Ma’rof, Aini Marina, Lim, Chee Leong, Hassan, Nurhanim, Che Nawi, Nur Raihan
Format:	Article
Published:	MDPI 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/102830/ https://www.mdpi.com/2227-7102/12/10/680
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id	my.upm.eprints.102830
record_format	eprints
spelling	my.upm.eprints.1028302024-06-23T00:20:38Z http://psasir.upm.edu.my/id/eprint/102830/ Predicting learnersa agility and readiness for future learning ecosystem Ab Jalil, Habibah Ismail, Ismi Arif Ma’rof, Aini Marina Lim, Chee Leong Hassan, Nurhanim Che Nawi, Nur Raihan Agility and future readiness are fundamental 21st-century skills that could guide university students globally to thriving and benefiting from a VUCA—volatile, uncertain, complex, and ambiguous—world. The ability to respond flexibly, make informed decisions, and adapt to rapid change reflects future-readiness capabilities. However, little is known about the empirical role of the university curriculum, learning ecosystem, and learning experience as perceived by university students in developing these skills. Therefore, we analysed data collected from 209 Malaysian university students from 16 universities to assess whether these three pertinent factors impact the students’ learning agility and determine how well learning agility predicts learners’ future readiness. The present study empirically assessed a theoretical model using a partial least squares structural equation modelling (PLS-SEM) approach. The analysis supported all the hypotheses proposed in this study, which implies that the extended model could effectively predict learners’ agility and future readiness. The results revealed that the university learning experience, ecosystem, and curriculum positively, directly, and significantly affected learning agility and future readiness. Furthermore, the findings showed that student agility significantly mediated the relationships between the student learning experience, university learning ecosystem, and curriculum and student future readiness. Taken together, these results highlight the importance of a future-ready education nurtured by a vibrant learning ecosystem that delivers lasting values and experiences for students and communities to appreciate the opportunities for a challenging yet exciting future offered by a VUCA environment. The established empirical model describing the empirical interplays between these correlates could, in turn, aid better evidence-based policy making in higher education. MDPI 2022 Article PeerReviewed Ab Jalil, Habibah and Ismail, Ismi Arif and Ma’rof, Aini Marina and Lim, Chee Leong and Hassan, Nurhanim and Che Nawi, Nur Raihan (2022) Predicting learnersa agility and readiness for future learning ecosystem. Education Sciences, 12 (10). art. no. 680. pp. 1-13. ISSN 2227-7102 https://www.mdpi.com/2227-7102/12/10/680 10.3390/educsci12100680
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	Agility and future readiness are fundamental 21st-century skills that could guide university students globally to thriving and benefiting from a VUCA—volatile, uncertain, complex, and ambiguous—world. The ability to respond flexibly, make informed decisions, and adapt to rapid change reflects future-readiness capabilities. However, little is known about the empirical role of the university curriculum, learning ecosystem, and learning experience as perceived by university students in developing these skills. Therefore, we analysed data collected from 209 Malaysian university students from 16 universities to assess whether these three pertinent factors impact the students’ learning agility and determine how well learning agility predicts learners’ future readiness. The present study empirically assessed a theoretical model using a partial least squares structural equation modelling (PLS-SEM) approach. The analysis supported all the hypotheses proposed in this study, which implies that the extended model could effectively predict learners’ agility and future readiness. The results revealed that the university learning experience, ecosystem, and curriculum positively, directly, and significantly affected learning agility and future readiness. Furthermore, the findings showed that student agility significantly mediated the relationships between the student learning experience, university learning ecosystem, and curriculum and student future readiness. Taken together, these results highlight the importance of a future-ready education nurtured by a vibrant learning ecosystem that delivers lasting values and experiences for students and communities to appreciate the opportunities for a challenging yet exciting future offered by a VUCA environment. The established empirical model describing the empirical interplays between these correlates could, in turn, aid better evidence-based policy making in higher education.
format	Article
author	Ab Jalil, Habibah Ismail, Ismi Arif Ma’rof, Aini Marina Lim, Chee Leong Hassan, Nurhanim Che Nawi, Nur Raihan
spellingShingle	Ab Jalil, Habibah Ismail, Ismi Arif Ma’rof, Aini Marina Lim, Chee Leong Hassan, Nurhanim Che Nawi, Nur Raihan Predicting learnersa agility and readiness for future learning ecosystem
author_facet	Ab Jalil, Habibah Ismail, Ismi Arif Ma’rof, Aini Marina Lim, Chee Leong Hassan, Nurhanim Che Nawi, Nur Raihan
author_sort	Ab Jalil, Habibah
title	Predicting learnersa agility and readiness for future learning ecosystem
title_short	Predicting learnersa agility and readiness for future learning ecosystem
title_full	Predicting learnersa agility and readiness for future learning ecosystem
title_fullStr	Predicting learnersa agility and readiness for future learning ecosystem
title_full_unstemmed	Predicting learnersa agility and readiness for future learning ecosystem
title_sort	predicting learnersa agility and readiness for future learning ecosystem
publisher	MDPI
publishDate	2022
url	http://psasir.upm.edu.my/id/eprint/102830/ https://www.mdpi.com/2227-7102/12/10/680
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score	13.211869

Predicting learnersa agility and readiness for future learning ecosystem

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