E-university delivery model: handling the evaluation process
Article
Ismail, R., Safieddine, F. and Jaradat, A. 2019. E-university delivery model: handling the evaluation process. Business Process Management Journal. 25 (7), pp. 1633-1646. https://doi.org/10.1108/BPMJ-10-2018-0281
Authors | Ismail, R., Safieddine, F. and Jaradat, A. |
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Abstract | Purpose The setting up of e-university has been slow-going. Much of e-university slow progress has been attributed to poor business models, branding, disruptive technologies, lack of organisational structure that accommodates such challenges, and failure to integrate a blended approach. One of the stumbling blocks, among many, is the handling of evaluation process. E-university models do not provide much automation compared to the original brick-and-mortar classroom model of delivery. The underlining technologies may not have been supportive; however, the conditions are changing, and more evaluation tools are becoming available for academics. The paper aims to discuss these issues. This paper identifies the extent of current online evaluation processes. In this process, the team reviews the case study of a UK E-University using Adobe Connect learning model that mirrors much of the physical processes as well as online exams and evaluation tools. Using the Riva model, the paper compares the physical with the online evaluation processes for e-universities to identify differences in these processes to evaluate the benefits of e-learning. As a result, the models can help us to identify the processes where improvements can take place for automating the process and evaluate the impact of this change. The paper concludes that this process can be significantly shortened and provide a fairer outcome but there remain some challenges for e-university processes to overcome. This paper examines the vital quality assurance processes in academia as more universities move towards process automation, blended or e-university business models. Using the case study of Arden University online distance learning, the paper demonstrates, through modelling and analysis that the process of online automation of the evaluation process is achieved with significant efficiency. |
Journal | Business Process Management Journal |
Journal citation | 25 (7), pp. 1633-1646 |
ISSN | 1463-7154 |
Year | 2019 |
Publisher | Emerald Publishing Limited |
Publisher's version | License File Access Level Anyone |
Digital Object Identifier (DOI) | https://doi.org/10.1108/BPMJ-10-2018-0281 |
Web address (URL) | https://doi.org/10.1108/BPMJ-10-2018-0281 |
Publication dates | |
Online | 14 Oct 2019 |
Publication process dates | |
Accepted | 16 Dec 2018 |
Deposited | 13 Nov 2019 |
Copyright holder | © 2019 The Authors |
https://repository.uel.ac.uk/item/8746y
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