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Title: | Teaching Digital Electronics Course for Electrical Engineering Students in Cognitive Domain |
Authors: | Bhuyan, Muhibul Haque Khan, Sher Shermin Azmiri Rahman, Mohammad Ziaur |
Keywords: | Bloom’s taxonomy Cognitive domain Digital electronics course Teaching methods |
Issue Date: | 31-Jan-2018 |
Publisher: | Universidad de Alcala, College of Education, Madrid, Spain |
Citation: | M. H. Bhuyan, S. S. A. Khan and M. Z. Rahman, “Teaching Digital Electronics Course for Electrical Engineering Students in Cognitive Domain,” International Journal of Learning and Teaching (IJLT), ISSN: 1986-4558, vol. 10, issue 1, January 2018, pp. 1-12. |
Series/Report no.: | ;1 |
Abstract: | Digital electronics course is one of the very fundamental courses for the students of undergraduate programme of electrical and electronic engineering (EEE) and the other undergraduate engineering disciplines. Therefore, ‘digital electronics’ shall be taught effectively, so that students can apply the knowledge learned to solve their real-life engineering problems. A teacher needs to adopt new teaching methodologies to attract current generation of students, and thus, to prepare them with practical knowledge and skills. Skills in the cognitive domain of Bloom’s taxonomy revolve around knowledge, comprehension and critical thinking of a particular topic. This makes teaching and learning more effective and efficient. In this paper, the teaching method of ‘digital electronics’ course for the undergraduate EEE students in the cognitive domain has been described with an example. Class performance evaluation in two different cohorts shows that the students’ results improve after using this approach. |
Description: | This is also a joint research work. |
URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/533 |
ISSN: | 1986-4558 |
Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
File | Description | Size | Format | |
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Draft_DSpace_Publication_Info_Upload_FE_Prof Muhibul Teaching Digital IJLT.docx | 2.93 MB | Microsoft Word XML | View/Open |
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