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The Electronic Journal of e-Learning Volume 13 Issue 5 2015 collects data among heads of e-Learning departments in various Higher Education Institutions in UK. The study found that the institutions perceived potential of technology to enhance the learning led to the adoption of a wide range of approaches to staff development in this particular area. However the study also found that successful implementation of Technology Enhanced Learning requires a coordinated institutional approach and a long-term investment. The paper by Nitchot and Gilbert is an empirical study addressing the question of whether the Web contains pedagogical materials. The paper provides explanation of the competency models and structures and on the basis of this develops a competence-based system for recommending study materials from the web, and compares the results of using the competence-based system COSREW with the use of traditional search engines. The study concludes that the Web is currently not a good resource for a pedagogically informed competence-based system since Web pages predominantly comprise text-based subject matter content with little support for learning competence or capability. In the last paper of this issue Al-Azawei and Lundqvist take their outset in current reseach that indicates that allthough distance-learning is related to positive core features its efficacy is not consistent across all learners. The study uses Technology Acceptance Model (TAM), one of the most commonly used models to examine factors that can help towards the prediction of user intention to accept technologies, or perceived satisfaction. Here Tam is used and extended to examine perceived satisfaction of an Arabic sample in a purposefully developed online learning course based on the Felder and Silverman Learning Styles Model (FSLSM) in order to reveal the pedagogical implications of learning styles on learner satisfaction. The study found that neither learning styles nor gender diversity had direct influence on the dependent factors. Accordingly, the research suggested that other variables may have to be integrated to enhance the power of the TAM-model.

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