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Teachers’ Attitude towards Integration of Computer Assisted Instructions in Teaching and Learning Process in CAD/CAM/CNC Module

Abdulrasool, Salah Mahdi and Mishra, Rakesh (2010) Teachers’ Attitude towards Integration of Computer Assisted Instructions in Teaching and Learning Process in CAD/CAM/CNC Module. International Journal of Learning, 16 (12). pp. 137-147. ISSN 1447-9494

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Abstract

The purpose of this study was to understand the effects of teachers’ attitudes, effectiveness of various teaching methods employed as well as teachers’ perceptions of the teaching experience on effectiveness of teaching-learning processes in computer-aided design/computer-aided manufacturing and computer numerical control (CAD/CAM/CNC) module used in vocational education department in Bahrain. Previous studies suggested that a part of the problem in CAD/CAM/CNC subject area is the use of inappropriate teaching methods which affect students’ achievements negatively. It has been suggested that negative teaching practices for example, teaching without visual effects, lack of interaction in the class and lack of motivational tool may affect students’ achievement. A questionnaire has been developed to understand teacher’s experience of the teaching learning process. The questions have been designed under the five categories. These categories are organisation, presentation, class room management, assessment process and teachers’ perception of teaching methods used. These categories have been designed to help make the interpretation and explanation of the responses easier.

Item Type: Article
Additional Information: © Common Ground, Salah Mahdi Abdulrasool, Rakesh Mishra 2010
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 > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group
Related URLs:
Depositing User: Salah Al Hamad
Date Deposited: 24 May 2010 11:41
Last Modified: 09 Dec 2010 09:29
URI: http://eprints.hud.ac.uk/id/eprint/7689

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