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A Systematic Map of Evaluation Criteria Applicable for Evaluating E-Portfolio Systems

A Systematic Map of Evaluation Criteria Applicable for Evaluating E-Portfolio Systems

Gary F. McKenna, Gavin J. Baxter
Copyright: © 2016 |Pages: 47
ISBN13: 9781466686199|ISBN10: 1466686197|EISBN13: 9781466686205
DOI: 10.4018/978-1-4666-8619-9.ch004
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MLA

McKenna, Gary F., and Gavin J. Baxter. "A Systematic Map of Evaluation Criteria Applicable for Evaluating E-Portfolio Systems." Web Design and Development: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2016, pp. 60-106. https://doi.org/10.4018/978-1-4666-8619-9.ch004

APA

McKenna, G. F. & Baxter, G. J. (2016). A Systematic Map of Evaluation Criteria Applicable for Evaluating E-Portfolio Systems. In I. Management Association (Ed.), Web Design and Development: Concepts, Methodologies, Tools, and Applications (pp. 60-106). IGI Global. https://doi.org/10.4018/978-1-4666-8619-9.ch004

Chicago

McKenna, Gary F., and Gavin J. Baxter. "A Systematic Map of Evaluation Criteria Applicable for Evaluating E-Portfolio Systems." In Web Design and Development: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 60-106. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-8619-9.ch004

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Abstract

This chapter examines the literature on evaluation methods within e-learning with respect to their applicability to evaluate e-portfolio systems within higher education as evaluation criteria for reviewing e-portfolio provisions do not currently exist in the literature. The appr­oach taken is to initiate two extensive literature searches and reviews. The first search was undertaken in 2009 involved reviewing over 600 articles by abstract dating from 1995 to 2010 to develop evaluation criteria suitable for Blackboard LMS e-portfolio systems evaluation. The second search undertaken in 2013 involved extending the search criteria to include further terminology and databases and returned over 4107 articles, which were read by title and abstract dating from 2009 to 2013, in order to systematically map evaluation methods used within e-learning to assess their quality and applicability for evaluating e-portfolio systems. The implications of the research undertaken provide a starting-point for further research into the development of robust e-portfolio evaluation models and frameworks. The lack of evidence uncovered in the 2009 and 2013 searches of the literature justify the need for further research into the design, development, and testing of evaluation methods for the evaluation of e-portfolio systems.

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