Towards a model-based approach to evaluate the effectiveness of e-learning

Hammad, Rawad; Odeh, M; Khan, Zaheer

Abstract

There is a lack of a standard based approach that can be used to evaluate the effectiveness of different e-learning models due to their diversity and complexity. This paper introduces a new evaluation approach to assess the effectiveness of e-learning models. This approach is derived using: (i) the ISO 25010 “Systems and software Quality Requirements and Evaluation (SQuaRE): System and software quality models” and (ii) the ISO 25012 “Systems and software Quality Requirements and Evaluation (SQuaRE): Data quality model”. Hence, the proposed evaluation approach is based on the following three main models: (i) quality in use, (ii) product quality and (iii) data quality models. In this research the proposed evaluation approach has been applied to compare and evaluate capabilities of five different e-learning models.
In addition to core qualities of ISO25010 and ISO25012 models, new qualities such as pedagogical, semantic and process-based techniques are defined to accommodate domain-specific aspects. The application of the proposed evaluation approach reveals promising results such as: (i) its ability to abstract the semantic heterogeneity between different terminologies used to describe the capabilities of different e-learning models and (ii) its holistic approach as well as its ability to be extended to assess unstructured e-learning contents. Additionally, this research identifies a list of e-learning models’ capabilities where some are common between different models e.g. interoperability and reusability; and others are specific to certain models such as processability.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: ECIME 2015
• Start Date: Sep 21, 2015
• End Date: Sep 22, 2015
• Publication Date: Sep 22, 2015
• Deposit Date: Sep 24, 2015
• Publicly Available Date: Feb 19, 2016
• Peer Reviewed: Peer Reviewed
• Pages: 111-119
• Keywords: e-learning effectiveness, e-learning evaluation, data quality, product quality, quality in use, e-learning capabilities
• Public URL: https://uwe-repository.worktribe.com/output/805456
• Publisher URL: http://academic-conferences.org/ecime/ecime2015/ecime15-proceedings.htm
• Additional Information: Additional Information : Published by Academic Conferences and Publishing International Limited; Title of Conference or Conference Proceedings : 9th European Conference on IS Management and Evaluation – ECIME 2015
• Contract Date: Feb 19, 2016