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Cloud computing platforms for delivering computer science and mathematics instructional course content to learners

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Resource type
Conference Paper
Authors/contributors
Title
Cloud computing platforms for delivering computer science and mathematics instructional course content to learners
Abstract
The cloud computing can be considered as a major driver in innovations and transformations in teaching and learning. The research on cloud computing in education is on the increase and is attracting the attention of researchers. In this paper, we designed and developed an integrated cloud computing learning platform based on Unified Modelling Language for delivering course contents of computer science and mathematics courses to learners. The propose cloud learning framework has the potentials for improving ubiquitous and learner centred learning activities. Educators can find the propose cloud learning platform useful for improving learning outcomes and motivation. 2017 IEEE.
Date
2018
Language
English
DOI
10.1109/NIGERCON.2017.8281933
Loc. in Archive
Chiroma, H., Ahmad, M.M., Abdulhamid, G.M., Gital, A.Y., Abdullahi, U., Abubakar, A.I., Shuib, L., 2018. Cloud computing platforms for delivering computer science and mathematics instructional course content to learners. Presented at the 2017 IEEE 3rd International Conference on Electro-Technology for National Development, NIGERCON 2017, pp. 639643. https://doi.org/10.1109/NIGERCON.2017.8281933
Citation
Chiroma, H., Ahmad, M. M., Abdulhamid, G. M., Gital, A. Y., & Abdullahi, U. (2018). Cloud computing platforms for delivering computer science and mathematics instructional course content to learners (Chiroma, H., Ahmad, M.M., Abdulhamid, G.M., Gital, A.Y., Abdullahi, U., Abubakar, A.I., Shuib, L., 2018. Cloud computing platforms for delivering computer science and mathematics instructional course content to learners. Presented at the 2017 IEEE 3rd International Conference on Electro-Technology for National Development, NIGERCON 2017, pp. 639643. https://doi.org/10.1109/NIGERCON.2017.8281933). https://doi.org/10.1109/NIGERCON.2017.8281933
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Link to this record
https://docs.metea.org.uk/lib/KTAWJFSD