Towards a Model-Based approach to evaluate the effectiveness of e-Learning

Hammad, Rawad, Odeh, Mohammed and Khan, Zaheer (2015) Towards a Model-Based approach to evaluate the effectiveness of e-Learning. In: UNSPECIFIED.

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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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Cited by: 5; Conference name: 9th European Conference on IS Management and Evaluation, ECIME 2015; Conference date: 21 September 2015 through 22 September 2015; Conference code: 119232
Depositing User:	RED Unit Admin
Date Deposited:	13 Mar 2025 13:27
Last Modified:	13 Mar 2025 13:27
URI:	https://bnu.repository.guildhe.ac.uk/id/eprint/19684

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