Ismaila Sanusi
Postdoctoral Researcher
School of Computing, Faculty of Science, Forestry and Technology
ismaila.sanusi@uef.fi | +358 50 472 4677
I’m currently studying how to teach the basics of machine learning in K-12 settings. My interest is democratizing ML and AI through K-12.
Research groups
Publications
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Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory
Sanusi, Ismaila Temitayo; Ayanwale, Musa Adekunle; Tolorunleke, Adebayo Emmanuel. 2024. Computers and education : artificial intelligence. 6: -
A Structural Equation Approach and Modelling of Pre-service Teachers' Perspectives of Cybersecurity Education
Ayanwale, Musa Adekunle; Sanusi, Ismaila Temitayo; Molefi, Rethabile Rosemary; Otunla, Adekunle Olusola. 2023. Education and information technologies. 2024; 29: 3699-3727 -
A bibliometric review of global visibility, impact and adoption of electronic invoicing: The past and the future
Olaleye, Sunday Adewale; Sanusi, Ismaila Temitayo; Dada, Oluwaseun Alexander; Agbo, Friday Joseph. 2023. Heliyon. 9: -
Artificial intelligence in compulsory level of education: perspectives from Namibian in-service teachers
Jatileni, Cloneria Nyambali; Sanusi, Ismaila Temitayo; Olaleye, Sunday Adewale; Ayanwale, Musa Adekunle; Agbo, Friday Joseph; Oyelere, Peter B.. 2023. Education and information technologies. [Epub ahead of print 7 Dec 2023]: 1-28 -
Building Recommendations for Conducting Equity-Focused, High Quality K-12 Computer Science Education Research
McGill, Monica M; Heckman, Sarah; Chytas, Christos; Diaz, Lien; Liut, Michael; Kazakova, Vera; Sanusi, Ismaila Temitayo; Shah, Selina Marianna; Szabo, Claudia. 2023. Annual Conference on Innovation & Technology in Computer Science Education -
Conducting Sound, Equity-Enabling Computing Education Research
McGill, Monica M; Heckman, Sarah; Chytas, Christos; Liut, Michael; Kazakova, Vera; Sanusi, Ismaila Temitayo; Shah, Selina Marianna; Szabo, Claudia. Teoksessa: Barker, Lecia(toim.) , 2023. ITiCSE-WGR 2023 - Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education. s. 30-56. ACM -
Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches
Ma, Ruizhe; Sanusi, Ismaila Temitayo; Mahipal, Vaishali; Gonzales, Joseph E; Martin, Fred G. Teoksessa: (toim.) , 2023. Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1. s. 298-304. ACM -
Developing middle school students’ understanding of machine learning in an African school
Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Vartiainen, Henriikka; Suhonen, Jarkko; Tukiainen, Markku. 2023. Computers and education : artificial intelligence. 5: . 100155 -
DoodleIt: A Beginner's Tool for Understanding Image Recognition
Mahipal, Vaishali; Ghosh, Srija; Sanusi, Ismaila Temitayo; Ma, Ruizhe; Gonzales, Joseph E; Martin, Fred G. 2023. -
DoodleIt: A Novel Tool and Approach for Teaching How CNNs Perform Image Recognition
Mahipal, Vaishali; Ghosh, Srija; Sanusi, Ismaila Temitayo; Ma, Ruizhe; Gonzales, Joseph E; Martin, Fred G. Teoksessa: Denny, Paul; Herbert, Nicole(toim.) , 2023. ACE '23: Proceedings of the 25th Australasian Computing Education Conference. s. 31-38. ACM