Towards a generalised e-learning business process model

Hammad, Rawad; Odeh, Mohammed; Khan, Zaheer

Abstract

Modelling learning scenarios is central for e-learning domain. This has been manifested in the proliferation of the different Educational Modelling Languages, as well as in developed e-learning models. However, the existing modelled scenarios are deficient as they lack flexibility and the agility to respond to the dynamic nature of an e-learning process that is suitable to answer learners’ needs. This paper proposes a novel approach to develop a generalised business process model from a set of related business processes sharing the same goals and associated objectives. The proposed approach has been applied in the e-learning domain, which demonstrated its ability to develop a generalised e-learning business process model that is derived from the existing pedagogical models and technology-enhanced learning artefacts. Moreover, the proposed approach has been evaluated to test its effectiveness in generalising a set of business processes, which paves the ground to apply it in different contexts. The generalised e-learning business process model has been modelled using the industrial standard Business Process Modelling Notations (BPMN 2.0) so that processes can be dynamically enacted in service-oriented environments and, at the same time, adapting to answering e-learners’ learning requirements.

• Journal Article Type: Article
• Conference Name: BUSTECH 2017, The Seventh International Conference on Business Intelligence and Technology
• Acceptance Date: Jan 3, 2017
• Publication Date: Feb 19, 2017
• Deposit Date: Mar 20, 2017
• Publicly Available Date: Apr 4, 2017
• Journal: BUSTECH 2017, The Seventh International Conference on Business Intelligence and Technology
• Print ISSN: 2308-4391
• Peer Reviewed: Peer Reviewed
• Pages: 20-28
• Keywords: e-learning processes, business process models for e-learning, e-learning, technology-enhanced learning, process-based e-learning, business process generalisation
• Public URL: https://uwe-repository.worktribe.com/output/898313
• Publisher URL: https://thinkmind.org/index.php?view=article&articleid=bustech_2017_1_40_90025
• Additional Information: Additional Information : This is the author's accepted manuscript. The full text can be accessed via the following link: https://thinkmind.org/index.php?view=article&articleid=bustech_2017_1_40_90025.; Title of Conference or Conference Proceedings : The Seventh International Conference on Business Intelligence and Technology BUSTECH 2017
• Contract Date: Mar 20, 2017