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Augmenting E-learning Tools for STE Disciplines and Resource Constrained Environments

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 545))

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Abstract

E-learning includes elements of both on-line and off-line learning (and/or distance learning). Various Learning and Course Management Systems (LCMS) are used for blended or hybrid learning in Science, Technology and Engineering (STE) disciplines, where they provide a defined (guided) path of study intended for collaborative groups of learners (such as a typical classroom) within the confines of a closed web-based (online) environment. In the blended learning approach, e-learning platforms augment or enhance the face-to-face (traditional) approach to teaching, focusing on the adaptation and delivery of pedagogical material. Key challenges affecting the wider use of e-learning platforms in STE disciplines include lack of adequate support for practical/laboratory work, the need to reformat/transform existing pedagogical content for on-line use, the added demands of on-line interactivity on the part of instructors/providers of content and the accessing them from resource constraint environments. This paper presents two techniques that could be used to reduce the overhead of reformatting or adapting pedagogical material for use as learning objects, as well as, addressing the fundamental challenge of accessing/using online educational resources from resource constrained environments. The results obtained from experimental study are also presented and discussed as potential enhancements for self/personal and group learning.

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Acknowledgements

The authors acknowledge the support of the Director of ICTP; staff who manned video camera for recordings; lecturers/tutors and students of the ICTP Diploma programme (2011/2012 session) and other ICTP staff and scientists who contributed in one form or another.

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Correspondence to Clement Onime .

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Onime, C., Uhomoibhi, J. (2017). Augmenting E-learning Tools for STE Disciplines and Resource Constrained Environments. In: Auer, M., Guralnick, D., Uhomoibhi, J. (eds) Interactive Collaborative Learning. ICL 2016. Advances in Intelligent Systems and Computing, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-319-50340-0_26

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  • DOI: https://doi.org/10.1007/978-3-319-50340-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50339-4

  • Online ISBN: 978-3-319-50340-0

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