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

Alsiddiqi, Mohamed, Mishra, Rakesh and Asim, Taimoor (2012) Development of an Extended Information Quality Framework for E-Learning System Content for Engineering Education Courses. 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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    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
    Related URLs:

    Alkhattabi, M., Neagu, D., & Cullen, A. (2010). Information Quality Framework for e-Learning Systems. Knowledge Management and E-Learning: An International Journal, 2 (4)

    Alseddiqi, M., Mishra, R., & Pislaru, C. (2010). Design and Development of an On-Line Work-Based Learning (WBL) Module to Enhance the Technical and Vocational Education (TVE) System in Bahrain. In: Global Learn Asia Pacific 2010: Global Conference on Learning and Technology. Association for the Advancement of Computing in Education (AACE), Vancouver, Canada, p. 1168. ISBN 1-880094-79-7

    Anderson, L., & Krathwohl, K. (2001). A taxonomy for learning, teaching, and assessing: a revision of Bloom's taxonomy of educational objectives. Complete edition, Longman: New York

    Brown, B.L. (2002). Generic skills in career and technical education. Retrieved September 6, 2005, from

    Ministry of Education (MoE). (2011) King Hamad’s School of the Future Projects, Retrieved January 3, 2011, from

    Mishra, R., Alseddiqi, M., & Pislaru, C. (2009). An Improved Employability Skills Model and its Compliance Through Vocational Educational System in Bahrain. International Journal of Learning, 16.

    Quality Assurance Authority for Education and Training (QAA), (2011) The Vocational Unit Review, Retrieved January 3, 2011, from

    TVE Directorate in Bahrain (2006). Private Sector Requirements in Kingdom of Bahrain, Ministry of Education: Internal Report

    Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5

    Depositing User: Sara Taylor
    Date Deposited: 08 May 2012 12:31
    Last Modified: 08 May 2012 12:31

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