Meta-model interaction for collaborative school subject management

Mohd Nordin, Abdul Rahman and Ab. Aziz, Sulaiman and Mohd Fadzil, Abdul Kadir and Syarilla Iryani, Ahmad Saany and Syadiah Nor, Wan Shamsuddin and Nuhu, A (2019) Meta-model interaction for collaborative school subject management. In: 2nd International Conference on Computer, Communication and Computational Sciences, IC4S 2017, 11-12 October 2017, Thailand.

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Abstract

Subject management is a process of developing and coordinating of teaching materials. A collaborative subject module management is used to allow participants to share and manage course modules via Internet technology. Currently, Malaysian school does not have collaborative platform to manage subject materials. Teachers usually used personalized tools to manage their subject modules. This article will discuss the modelling of cloud-based subject module management. Raquel’s interaction meta-model is adopted as the central framework of the model. Based on developed model, a prototype has been developed which implemented under cloud computing platform. In the experiment, the prototype is evaluated using four cloud quality of service metrics. The results show that the model has accomplished the metrics of efficiency of 62%, effectiveness of 64%, learnability of 62%, and attractiveness of 68%. The proposed model could help to facilitate the development and management collaboration of subject module in Malaysian schools. It provides a reliable collaborative platform among teachers, students, and school management.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cloud computing platforms, Cloud platforms, Collaborative platform, Internet technology, Meta model, Quality of service metrics, Subject materials, Teaching materials
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Divisions: Faculty of Informatics & Computing
Depositing User: Muhammad Akmal Azhar
Date Deposited: 22 Nov 2020 07:39
Last Modified: 22 Nov 2020 07:39
URI: http://eprints.unisza.edu.my/id/eprint/1768

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