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Development of an Extended Information Quality Framework for E-Learning System Content for Engineering Education Courses (EECs)

Alseddiqi, Mohamed, Mishra, Rakesh and Asim, Taimoor (2012) Development of an Extended Information Quality Framework for E-Learning System Content for Engineering Education Courses (EECs). In: Learning with Mobile Technologies, Handheld Devices, and Smart Phones: Innovative Methods. IGI Global, Hershey, PA, USA, pp. 162-170. ISBN 9781466609365

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      Abstract

      Poor integration of pedagogical and technological learning elements within teaching and learning methodologies may have substantial impacts on the effectiveness of learning. Although educational institutions are improving their courses, teaching and learning methodologies and assessment strategies with tailored approaches, their efforts at improvement tend to focus narrowly on academic results. The authors believe that educational courses should give priority to educational goals and labour market expectations (industrial companies' requirements) in devising the methodology of teaching and learning. The technology based learning system has a capability to comply with diverse requirements as mentioned above. The purpose of this paper is to develop an extended information quality framework to measure the effectiveness of e-learning content for technology based learning system for engineering education courses (EECs) in Technical and Vocational Education (TVE) in Bahrain. The model incorporates the requirements of educational goals (TVE goals) and modern industrial needs and integrates these with existing information quality frameworks. The extended model incorporates pedagogical and technological elements, is consistent with the educational objectives and industrial requirements, and can be used as guidelines for measuring the effectiveness of e-learning packages delivered in EECs.

      Item Type: Book Chapter
      Subjects: L Education > L Education (General)
      Schools: School of Computing and Engineering
      School of Computing and Engineering > Automotive Engineering Research Group
      School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
      School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
      School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
      School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
      School of Computing and Engineering > Pedagogical Research Group
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      Depositing User: Mohamed Alseddiqi
      Date Deposited: 19 Jun 2012 14:35
      Last Modified: 19 Jun 2012 14:35
      URI: http://eprints.hud.ac.uk/id/eprint/13796

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