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Learning and Teaching Mechanical Engineering Courses with Blended Learning Environment - Higher Order Application of Bloom’s Taxonomy.

Abdulrasool, Salah Mahdi and Mishra, Rakesh (2010) Learning and Teaching Mechanical Engineering Courses with Blended Learning Environment - Higher Order Application of Bloom’s Taxonomy. In: Future Technologies in Computing and Engineering: Proceedings of Computing and Engineering Annual Researchers' Conference 2010: CEARC’10. University of Huddersfield, Huddersfield, pp. 84-91. ISBN 9781862180932

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Abstract

Mechanical Engineering students who learn how to design and analyse usually experience complex and /or abstract aspects that they may not be able to fully understand without additional tutorial lessons or further explanations. For example, to learn construction of manufacturing, at Higher Order of Cognitive Skills (HOCS)
of Bloom’s Taxonomy, students need to visualize materials and sequences of construction process. This paper presents the development and implementation of a computer tutoring software, this method of teaching, named ‘learning with blended environment’, is designed to assist students in thoroughly understanding and effectively mastering teaching material. The tutoring software was used to teach mechanical engineering course at Sheikh Khalifa Institute of Technology in Bahrain. The evaluation of the effectiveness of the tutoring tool is also
discussed.

Item Type: Book Chapter
Uncontrolled Keywords: Lower Order of Cognitive Skills(LOCS), Higher Order of Cognitive Skills (HOCS).
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Schools: School of Computing and Engineering
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > Diagnostic Engineering Research Centre
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
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 > Energy, Emissions and the Environment Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 13 Jan 2011 11:42
Last Modified: 20 Aug 2015 04:10
URI: http://eprints.hud.ac.uk/id/eprint/9317

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