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Improving Student Engagement in Teaching Electric Machines Through Blended Learning | IEEE Journals & Magazine | IEEE Xplore

Improving Student Engagement in Teaching Electric Machines Through Blended Learning


Abstract:

Contribution: This paper has demonstrated that the use of blended learning in an electrical machines course has increased student engagement, pass rate, and scores across...Show More

Abstract:

Contribution: This paper has demonstrated that the use of blended learning in an electrical machines course has increased student engagement, pass rate, and scores across the GPA spectrum. Background: Lack of engagement by students in electric machine courses have been reported across the world. Interventions however, usually take the form of laboratory and simulation assignments. There is little information on, however, the use of blended learning and flipped classroom techniques to combat these problems. Intended Outcomes: Increased engagement in the course evidenced by exam performance. In particular, for the transformer, dc motor, induction motor, and synchronous motor the students should be able to explain the construction and principle of operation, and compute voltages, currents and power for various operating conditions. Application Design: The approach involved online lectures, tutorial submissions, and peer feedback forums followed by face to face tutorial sessions. These were chosen because online activities would allow students to access material on devices with which they are accustomed to engaging deeply and because peer feedback has been shown to build community, and increase the quality of discourse for both students and lecturer. Findings: There was a significant improvement in exam performance when compared to previous years. The pass rate of the course moved from approximately 60% in previous years to 86%. The class average mark also increased from approximately 50% in previous years to 63%.
Published in: IEEE Transactions on Education ( Volume: 62, Issue: 4, November 2019)
Page(s): 297 - 304
Date of Publication: 10 June 2019

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