Intelligent Adaptable e-Assessment for Inclusive e-Learning

Lilyana Nacheva-Skopalik and Steve Green
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Lilyana Nacheva-Skopalik: Technical University of Gabrovo, Gabrovo, Bulgaria
Steve Green: Teesside University, Middlesbrough, UK

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2016, vol. 11, issue 1, 21-34

Abstract: Access to education is one of the main human rights. Everyone should have access to education and be capable of benefiting from it. However there are a number who are excluded, not because of a lack of ability but simply because they have a disability or specific need which current education systems do not address. A learning system in which content, tools and interfaces can be personalised and adapted to the individual needs and preferences of a variety of learners, including those with disabilities, becomes inclusive. Assessment is an integral part of an e-learning environment and therefore it has to provide not only inclusive e-learning content but also inclusive e-assessment. The proposed research investigates an intelligent adaptable e-learning system for assessing students' level of skill, knowledge and understanding regardless of their disabilities or accessibility needs. It is based on an innovative use of world's first open source adaptable widget design and authoring toolkit (WIDGaT) as the prototyping environment.

Date: 2016
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International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

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