An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh
The increasing demand for skilled professionals in Artificial Intelligence (AI) within the Fourth Industrial Revolution (4IR) has led to the establishment of AI courses in universities worldwide. This study investigated effective pedagogical approaches in an AI course through in-depth interviews wit...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Social Sciences and Humanities Open |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590291124002729 |
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| author | Ashiru Ahmad Rufai Md Shahadat Hossain Khan Mahbub Hasan |
| author_facet | Ashiru Ahmad Rufai Md Shahadat Hossain Khan Mahbub Hasan |
| author_sort | Ashiru Ahmad Rufai |
| collection | DOAJ |
| description | The increasing demand for skilled professionals in Artificial Intelligence (AI) within the Fourth Industrial Revolution (4IR) has led to the establishment of AI courses in universities worldwide. This study investigated effective pedagogical approaches in an AI course through in-depth interviews with eighteen undergraduate students in Bangladesh. Grounded theory methodology was employed, resulting in the development of five thematic categories: the significance of feedback, combination of theory and practice, promotion of self-paced learning, connection to real-life problems, and integration with future education and emerging technologies. The findings highlight the importance of these pedagogical approaches in enhancing students' learning outcomes. The study's implications include informing the design of professional development programs for AI teachers to improve instructional methods and learning outcomes. The proposed “Holistic Framework for Teaching and Learning in Emerging AI Courses” combines these five categories to provide practical guidance for instructors in the global context of AI education. |
| format | Article |
| id | doaj-art-6eea788f8b7644df9996e2b9d520d6f8 |
| institution | Kabale University |
| issn | 2590-2911 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Social Sciences and Humanities Open |
| spelling | doaj-art-6eea788f8b7644df9996e2b9d520d6f82024-11-21T06:06:00ZengElsevierSocial Sciences and Humanities Open2590-29112024-01-0110101075An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of BangladeshAshiru Ahmad Rufai0Md Shahadat Hossain Khan1Mahbub Hasan2Department of Technical and Vocational Education, Islamic University of Technology, Board Bazar, Gazipur, 1704, BangladeshCorresponding author.; Department of Technical and Vocational Education, Islamic University of Technology, Board Bazar, Gazipur, 1704, BangladeshDepartment of Technical and Vocational Education, Islamic University of Technology, Board Bazar, Gazipur, 1704, BangladeshThe increasing demand for skilled professionals in Artificial Intelligence (AI) within the Fourth Industrial Revolution (4IR) has led to the establishment of AI courses in universities worldwide. This study investigated effective pedagogical approaches in an AI course through in-depth interviews with eighteen undergraduate students in Bangladesh. Grounded theory methodology was employed, resulting in the development of five thematic categories: the significance of feedback, combination of theory and practice, promotion of self-paced learning, connection to real-life problems, and integration with future education and emerging technologies. The findings highlight the importance of these pedagogical approaches in enhancing students' learning outcomes. The study's implications include informing the design of professional development programs for AI teachers to improve instructional methods and learning outcomes. The proposed “Holistic Framework for Teaching and Learning in Emerging AI Courses” combines these five categories to provide practical guidance for instructors in the global context of AI education.http://www.sciencedirect.com/science/article/pii/S2590291124002729Artificial intelligenceInstructional methodEngineering educationGrounded theoryTeaching methods in AI |
| spellingShingle | Ashiru Ahmad Rufai Md Shahadat Hossain Khan Mahbub Hasan An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh Social Sciences and Humanities Open Artificial intelligence Instructional method Engineering education Grounded theory Teaching methods in AI |
| title | An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh |
| title_full | An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh |
| title_fullStr | An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh |
| title_full_unstemmed | An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh |
| title_short | An exploration of pedagogical approaches in teaching artificial intelligence courses: Experience from undergraduates students of Bangladesh |
| title_sort | exploration of pedagogical approaches in teaching artificial intelligence courses experience from undergraduates students of bangladesh |
| topic | Artificial intelligence Instructional method Engineering education Grounded theory Teaching methods in AI |
| url | http://www.sciencedirect.com/science/article/pii/S2590291124002729 |
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