3 research outputs found
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Evaluating accessible adaptable e-learning
Two different approaches can increase the accessibility of digital educational materials: content that has been built with the widest possible set of users in mind (universal design), or content that has been designed in such a way that it can be personalised to individual user needs and preferences (personalised design). This paper outlines a number of approaches that could be used to evaluate the provision of learning materials that have been adapted to or chosen for individual learners. A number of different perspectives are considered in this paper: a learner's perspective, the perspective of the tutor or teacher, and an institutional perspective. A number of complementary methodologies are presented. It is argued that the evaluation of a system that provides personalised learning content is a challenging activity that necessitates the application of multiple methods to effectively understand the underlying costs and benefits of providing personalised learning materials
Adaptive intelligent personalised learning (AIPL) environment
As individuals the ideal learning scenario would be a learning environment tailored just for how we like to learn, personalised to our requirements. This has previously been almost inconceivable given the complexities of learning, the constraints within the environments in which we teach, and the need for global repositories of knowledge to facilitate this process. Whilst it is still not necessarily achievable in its full sense this research project represents a path towards this ideal.In this thesis, findings from research into the development of a model (the Adaptive Intelligent Personalised Learning (AIPL)), the creation of a prototype implementation of a system designed around this model (the AIPL environment) and the construction of a suite of intelligent algorithms (Personalised Adaptive Filtering System (PAFS)) for personalised learning are presented and evaluated. A mixed methods approach is used in the evaluation of the AIPL environment. The AIPL model is built on the premise of an ideal system being one which does not just consider the individual but also considers groupings of likeminded individuals and their power to influence learner choice. The results show that: (1) There is a positive correlation for using group-learning-paradigms. (2) Using personalisation as a learning aid can help to facilitate individual learning and encourage learning on-line. (3) Using learning styles as a way of identifying and categorising the individuals can improve their on-line learning experience. (4) Using Adaptive Information Retrieval techniques linked to group-learning-paradigms can reduce and improve the problem of mis-matching. A number of approaches for further work to extend and expand upon the work presented are highlighted at the end of the Thesis
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An Investigation Into The Accessibility Of Massive Open Online Courses (MOOCs)
Massive Open Online Courses (MOOCs) are an evolution of open online learning that enables people to study online and for little or no cost. MOOCs can provide learners with the flexibility to learn, opportunities for social learning, and the chance to gain new skills and knowledge. While MOOCs have the potential to also bring these benefits to disabled learners, there is little understanding of how accessibility is embedded in the creation of MOOCs. The goal of this research has been to understand the accessibility barriers in MOOCs and to develop processes to identify and address those barriers.
In the extant literature, the expectations of disabled learners when they take up MOOCs are not discussed and studies on MOOCs that report demographic data of learners do not consider disabled learners. However, disabled learners can face difficulties in accessing MOOCs, and certain learning designs of MOOCs may affect their engagement, causing them to miss out on opportunities offered by MOOCs. Technologies and the learning design approaches for MOOCs need to be as accessible as possible, so that learners can use MOOCs in a range of contexts, including via assistive technologies.
This research has investigated the current state of accessibility in MOOCs. It has involved the following:
Interviews with 26 MOOC providers; including software developers, accessibility managers, inclusion designers, instructional designers, course editors and learning media developers;
Comparative quantitative survey data involving disabled and non-disabled learners participating in 14 MOOCs;
Interviews with 15 disabled learners which have captured their experiences; and
An accessibility audit was devised and then used to evaluate MOOCs from 4 major platforms: FutureLearn, edX, Coursera and Canvas. This audit comprises 4 components: technical accessibility, user experience (UX), quality and learning design; 10 experts were involved in its design and validation.
This research programme has yielded an understanding of how MOOC providers cater for disabled learners, the motivations of disabled learners when taking part in MOOCs, and how MOOCs should be designed to be accessible for disabled learners. A range of barriers to accessibility in MOOCs have been identified, and an accessibility audit for MOOCs has been proposed.
An open online learning environment should take into account learners’ abilities, learning goals, where learning takes place, and the different devices learners use. The research outcomes will be beneficial to MOOC providers to support the accessible design of MOOCs, including the educational resources and the platforms where the MOOCs are hosted. The ultimate beneficiaries of this research project are MOOC learners because accessible MOOCs will help support their lifelong learning and provide re-skilling opportunities