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Experiences from implementing teach-back In the teaching of Artificial Intelligence
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-0546-116X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-7924-4953
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-6158-3543
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0002-6756-0147
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2023 (English)In: New perspectives in science education: 12th edition / [ed] Pixel, Libreriauniversitaria.it , 2023, Vol. 12, no 12Conference paper, Published paper (Refereed)
Abstract [en]

Teach back, initially used in health care, has recently been also applied in higher education, for selfassessment, and to enhance student engagement. These applications, however, have been limited to the field of humanities. In our work, we extend the concept of teach-back to one of our STEM courses,namely “Introduction to Artificial Intelligence”. Here, we couple teach-back with the use of study groups. Our goal with this exercise was many-fold. For one, we want to increase student engagementand student activation in the course. Moreover, we want to increase student understanding. Lastly, we want to attain the above with an efficient use of teacher hours. In this paper, we describe how we implemented the teach-back method. Our results show that after introducing teach-back, we have a slightly decreased rate of fails at the oral exam. We also found that students who engaged in the teach-back activity found it mostly beneficial and engaging. Unfortunately, however, it was only a small portion of students who participated in teach-back. Thus, beyond improving the implementation ofteach-back, our main target for future work will be to engage more students in it.

Place, publisher, year, edition, pages
Libreriauniversitaria.it , 2023. Vol. 12, no 12
Series
International conference New perspectives in science education, ISSN 2420-9732
Keywords [en]
student engagement, motivation, teach-back, Artificial Intelligence
National Category
Computer and Information Sciences Educational Sciences
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-111938Scopus ID: 2-s2.0-85216748264OAI: oai:DiVA.org:ltu-111938DiVA, id: diva2:1943419
Conference
New Perspective in Science Education 2023, Florence, Italy [DIGITAL], March 16-17, 2023
Note

ISBN for host publication: 979-12-80225-55-9

Available from: 2025-03-10 Created: 2025-03-10 Last updated: 2025-10-21Bibliographically approved

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Kovács, GyörgyAl-Azzawi, Sana SabahMokayed, HamamLiwicki, FoteiniLiwicki, Marcus

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