Students’‎ Readiness for Self-Regulated Smart Learning Environment

Authors

DOI:

https://doi.org/10.46328/ijtes.341

Keywords:

Self-regulated learning, Online learning, Students’ readiness, mixed method, Smart learning environment, Online skills, smart device

Abstract

The increasing development in smart and mobile technologies supports transformation of learning environment into a smart learning environment to meet diverse learners’ needs. Learning in an online environment requires motivation and skills to succeed.  Self-regulated learning has been identified as one of the strategies for supporting students in an online learning environment.  However, despite these innovations, there is a scarcity of well exploratory works to understand if students have skills, experiences, and technology resources for implementing a self-regulated smart learning environment. This study attempts to fill the gaps by investigating these experiences and technology resources. The study used mixed-method to investigate the readiness of 157 undergraduate students. The quantitative data used an online self-regulated learning questionnaire (OSLQ), and the qualitative data used focus group discussions. The quantitative data were analyzed using descriptive statistics and correlations, and the qualitative data used a thematic method to understand students’ experiences. The investigations show that students understood the self-regulated learning process and its’ role in their academic success. Moreover, they have access to mobile internet services and smart devices, mostly an android operating system. More so, goal setting, time management, and self-evaluation are among the top-level skills readiness, and there is a relationship between previous online learning experiences and these skills. Future research could investigate facilitators’ readiness to develop a self-regulated smart learning environment for engaging online learning experiences and skills development. 

Author Biographies

Yusufu Gambo, School of Computing, Engineering and Physical Sciences, University of the West of Scotland, UK

Yusufu Gambo is currently a PhD candidate at the School: Computing, Engineeringand Physical Sciences, University of the West of Scotland (UWS), UK. He receivedBTech in Operations Research from Federal University of Technology, Yola, Nigeriaand MSc in Information Technology from Stirling University, Scotland, UK. He is alecturer at the Department of Computer Science, Adamawa State University, Mubi, Nigeria.He is a member of IEEE and has some publications in both peer-review journalsand conferences.

Muhammad Zeeshan Shakir, School of Computing, Engineering and Physical Sciences, University of the West of Scotland, UK

Muhammad Zeeshan Shakir is Reader (Associate Professor) in Computer Networksat the University of the West of Scotland (UWS), UK received over £3m researchfunding from bodies such as Innovate UK, ERASMUS, QNRF and UK industries.With over 10 years of research expertise in the design and development of informationand communication technologies (ICT), he has published over 150 research articlesand edited or contributed to 10 books. He has an interest in wireless technologiesand the application of tools such as Artificial Intelligence & Machine Learning to supportglobal connectivity around the world and related emerging applications. He is a recipientof IEEE Communications Society Fred W. Ellersick Award 2021, IEEE CommunicationsSociety and China Institute of Communications Best Journal Article Award2019 and UWS STARS Award 2020 & 2018 (Staff Appreciation and Recognitionscheme) for outstanding research and enterprise performance. He has been serving as aChair and organising committee of several symposiums/workshops in IEEE flagship conferences, including Globecom, ICC and WCNC. He is an Editor of PHYCOM,IEEE Communications Letters and served as a guest editor to IEEE Wireless Communications,IEEE Communications, and IEEE Access. He is a founding Chair of IEEEComSoc emerging technologies committee on backhaul/fronthaul. He is a Fellow ofHigher Education Academy, UK, Senior Member of IEEE, and an active member ofIEEE ComSoc and member of International Association of Smart Learning Environments(IASLE). Recently, he has been selected (through a competitive process) by theScottish Parliament as a Member Scottish Parliament Framework Agreement Covid-19Pandemic to provide expert advice on the impact of Covid-19 on digital infrastructure,energy, education, and healthcare

References

Gambo, Y., & Shakir, M. Z. (2022). Students’‎ readiness for self-regulated smart learning environment. International Journal of Technology in Education and Science (IJTES), 6(2), 306-322. https://doi.org/10.46328/ijtes.341

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Published

2022-05-25

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Articles