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Teachers’ and Students' Attitudes Towards Traditional and Computer Assisted Blended Teaching and Learning Processes in Mechanical Engineering Subjects Area

Abdulrasool, Salah Mahdi, Mishra, Rakesh and Khalaf, Haifa (2010) Teachers’ and Students' Attitudes Towards Traditional and Computer Assisted Blended Teaching and Learning Processes in Mechanical Engineering Subjects Area. In: Proceedings of the 10th IEEE International Conference on Computer and Information Technology. IEEE Computer Society Conference Publishing Services (CPS), pp. 1436-1441. ISBN 9780769541082

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    Abstract

    The effectiveness of traditional teaching-learning process in Computer Aided Design (CAD), Computer Aided Manufacturing CAM and Computer Numerical control CNC (CAD-CAM-CNC) module has been evaluated against recently developed two blended teaching learning models. The blended learning systems have been developed by integrating computer assisted instructions with the traditional teaching learning system. This study in particular reports teachers’ and students’ views about various facets of teaching and learning process under different modes. It has been see that blended learning modes find better acceptance amongst teachers and students as co mpared to traditional teaching mode.

    Item Type: Book Chapter
    Additional Information: Paper presented at the 10th IEEE International Conference on Computer Information and Technology (CIT 2010), Bradford, UK, 29th June - 1st July 2010 (c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    Subjects: T Technology > TJ Mechanical engineering and machinery
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Pedagogical Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre
    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
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    Related URLs:
    Depositing User: Salah Al Hamad
    Date Deposited: 21 Jul 2010 15:31
    Last Modified: 22 Jun 2011 12:47
    URI: http://eprints.hud.ac.uk/id/eprint/8126

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