Meta-model interaction for collaborative school subject management

Bibliographic Details
Format: Restricted Document
_version_ 1860800036938448896
building INTELEK Repository
collection Online Access
collectionurl https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
date 2019-06-27 02:36:03
eventvenue Thailand
format Restricted Document
id 8395
institution UniSZA
originalfilename 1768-01-FH03-FIK-19-25650.pdf
person Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/75.0.3770.100 Safari/537.36
recordtype oai_dc
resourceurl https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8395
spelling 8395 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8395 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 4 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/75.0.3770.100 Safari/537.36 2019-06-27 02:36:03 1768-01-FH03-FIK-19-25650.pdf UniSZA Private Access Meta-model interaction for collaborative school subject management 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. 2nd International Conference on Computer, Communication and Computational Sciences, IC4S 2017 Thailand
spellingShingle Meta-model interaction for collaborative school subject management
summary 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.
title Meta-model interaction for collaborative school subject management
title_full Meta-model interaction for collaborative school subject management
title_fullStr Meta-model interaction for collaborative school subject management
title_full_unstemmed Meta-model interaction for collaborative school subject management
title_short Meta-model interaction for collaborative school subject management
title_sort meta-model interaction for collaborative school subject management