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Computer Assisted Laboratory Instructions: Learning Outcomes Analysis

Abdulrasool, Salah Mahdi and Mishra, Rakesh (2006) Computer Assisted Laboratory Instructions: Learning Outcomes Analysis. In: Proceedings of IV international conference on multimedia and information and communication technologies in communication. m-ICTE, Seville, Spain, pp. 330-341. ISBN 8469024698

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Abstract

For this students in mechanical engineering subject area were exposed to computer assisted instructions to satisfy following learning outcomes in computer aided design/computer aided manufacturing module.
i- Creation of drawing and design using Computer aided design
ii- Using data exchange format (DXF) to create numerical control file
iii- Final setup check of computerised numerical control machine
iv- Final manufacturing of the product using CNC
v- e ytilauQ valuation
The teaching and learning methodology consisted of a teacher delivering a lecture on the basics of the operation and then explaining entire operation with the help of a software coupled to the CNC machine. This enabled students to carry out repeated tests on the software till they felt confident in carrying out the above operations. At the end all students were examined for knowledge, comprehension, application, analysis, synthesis and evaluation. A typical flow chart explaining the above operations is shown below.
The results indicated that computer assisted instructions help students achieve learning out comes at all levels of cognitive domains. A correlation was seen between the pre test ability of students and the levels of cognition most affected. High pre test ability students gained both in high and low levels of cognition where as low ability students gained primarily in low levels of cognition namely knowledge acquisition and routine application.

Item Type: Book Chapter
Uncontrolled Keywords: Computer technology
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: 25 May 2010 11:37
Last Modified: 04 Nov 2015 15:44
URI: http://eprints.hud.ac.uk/id/eprint/7683

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