Closing the chasm between virtual and physical delivery for innovative learning spaces using learning analytics

Saleeb, Noha ORCID logoORCID: https://orcid.org/0000-0002-8509-1508 (2021) Closing the chasm between virtual and physical delivery for innovative learning spaces using learning analytics. International Journal of Information and Learning Technology, 38 (2) . pp. 209-229. ISSN 2056-4880 [Article] (doi:10.1108/IJILT-05-2020-0086)

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Abstract

Purpose – One of the misconceptions of teaching and learning for practical-based programmes, such as engineering, sciences, architecture, design and arts, is the necessity to deliver via face-to-face physical modality. This paper refutes this claim by providing case studies of best practices in delivering such courses and their hands-on skillsets using completely online virtual delivery that utilises different formats of 2D and 3D media and tools, supported by evidence of efficiency using learning analytics.
Design/methodology/approach – The case studies were designed using pedagogical principles of constructivism and deep learning, conducted within a mixture of 2D and 3D virtual learning environments with flexible interface and tools capabilities. State-of-the-art coding and scripting techniques were also used to automate different student tasks and increase engagement. Regression and descriptive analysis methods were used for Learning Analytics.
Findings – Learning analytics of all case studies demonstrated the capability to achieve course/project learning outcomes, with high engagement from students amongst peers and with tutors. Furthermore, the diverse virtual learning tools used, allowed students to display creativity and innovation efficiently analogous to physical learning.
Originality/value – The synthesis of utilised media and tools within this study displays innovation and originality in combining different technology techniques to achieve an effectual learning experience. That would usually necessitate face-to-face, hands-on physical contact to perform practical tasks and receive feedback on them. Furthermore, this paper provides suggestions for future research using more advanced technologies.

Item Type: Article
Sustainable Development Goals:
Theme:
Research Areas: A. > School of Science and Technology
Item ID: 36494
Notes on copyright: Copyright © 2020, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher
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Depositing User: Noha Saleeb
Date Deposited: 10 Oct 2022 09:27
Last Modified: 29 Nov 2022 17:57
URI: https://eprints.mdx.ac.uk/id/eprint/36494

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