Technologies for Learning and Development
Group description
The research group of Technologies for Learning and Development at the School of Computing, designs, investigates, and develops solutions for learning and development in a digitalised society. Together with the Learning Analytics and Interactive Technologies research groups, we form the Future Technologies research area in the School of Computing.
Our research involves, for example, studies of tools and models for computational thinking, investigating the role of digitalization in society, designing and experimenting with digital solutions for learning and development, as well as developing novel solutions and interventions for computing education. The current research interests of our group are digital learning environments; learning analytics, AI in education, and educational data mining; VR/AR technologies in education; design research in educational technology; computing education; computational thinking; and ICT for development.
An essential aspect of our research activities is the IMPDET online doctoral studies, which provides doctoral training related to the group’s research interests around the globe. We have launched IMPDET doctoral training hubs in collaboration with the College of Business Education in Tanzania and the Makerere University of Business School in Uganda for improving the quality, relevance, and impact of research activities of the two Sub-Saharan African higher education institutions.
We are a member of the DIGS research community at UEF; https://www.uef.fi/en/research-community/learning-in-digitalized-society-digs
Outside funded projects (past five years)
- Generation AI, Academy of Finland, 2022-2025, https://www.generation-ai-stn.fi/
- Improving Online and Blended Learning with Educational Data Analytics (ILEDA), Erasmus+, 2021-2023, https://ileda.eu/
- Data-driven support of self-regulated learning across digital and physical spaces through learning analytics, Swedish Research Council
- Towards Precision Education: Idiographic Learning Analytics (TOPEILA), Academy of Finland, 2022-2025, https://sites.uef.fi/edtech/projects/topeila/
- ENVISION – Network for Virtual Lab & Interactive Simulated Online Learning, Erasmus+, Finnish National Agency for Education, 2021-2023, https://sites.utu.fi/envision2027/
- TRUE – Transparency of Learning Outcomes through Blockchain Technology, Erasmus+ KA2: Strategic Partnership in the Field of Higher Education, 2020-2023
- Evaluation of Teacher Training in Latin America and the Caribbean – Guarantee of the Quality of Education Degrees, Erasmus+ KA2: Capacity Building in Higher Education, 2021-2023, https://ecalfor.eu/en/ecalfor/
- Development of New Andragogical Diagnostic Approaches and Interventions of the Adult Docility Phenomenon (DANUBE), Erasmus+ KA2: Strategic Partnership for School Education, 2020-2023, https://sites.uef.fi/edtech/projects/danube/
- Smart Ecosystem for Learning and Inclusion, 2019-2020, EU-CELAC/ERANet-LAC
- RoboSTEAM – Integrating STEAM and Computational Thinking, 2019-2020, Erasmus+ KA2 Strategic Partnership
- eCraft2Learn, Horizon 2020, 2017-2018, https://project.ecraft2learn.eu/
Additional information
Website: https://sites.uef.fi/edtech/
IMDPET studies: https://sites.uef.fi/impdet/
Deep Learning Analytics consortium: https://sites.uef.fi/dla/
News
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Future Technologies research seminar
Cooperation
Keywords
Professors
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Matti Tedre
ProfessorSchool of Computing, Faculty of Science, Forestry and Technology -
Markku Tukiainen
ProfessorSchool of Computing, Faculty of Science, Forestry and Technology
Senior Researchers
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Jarkko Suhonen
Staff ScientistSchool of Computing, Faculty of Science, Forestry and Technology -
Ilkka Jormanainen
University LecturerSchool of Computing, Faculty of Science, Forestry and Technology -
Mikko-Ville Apiola
University LecturerSchool of Computing, Faculty of Science, Forestry and Technology -
Nicolas Pope
Senior ResearcherSchool of Computing, Faculty of Science, Forestry and Technology
Post-doctoral Researchers
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Samuel Yigzaw
University LecturerSchool of Computing, Faculty of Science, Forestry and Technology -
Ismaila Sanusi
Postdoctoral ResearcherSchool of Computing, Faculty of Science, Forestry and Technology
Doctoral Researchers
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Amos Sunday
Doctoral Researcher -
Anssi Lin
Doctoral ResearcherSchool of Computing, Faculty of Science, Forestry and Technology -
Toni Sanio
Doctoral ResearcherSchool of Computing, Faculty of Science, Forestry and Technology -
Maryum Hamdani
Doctoral ResearcherSchool of Computing, Faculty of Science, Forestry and Technology
Other group members
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LIST OF DOCTORAL STUDENTS
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Prof. Kinshuk, Docent, PhD student supervisor, University of North Texas
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Dr. Carolina Islas Sedano, alumni, doctoral student supervisor, Ubium Ltd.
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Prof. Artur Lugmayr, doctoral student supervisor, Curtin University
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Dr. Richard A.W. Tortorella, alumni, doctoral student supervisor
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Dr. Andrés Moreno, alumni, doctoral student supervisor, SHEchange
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Dr. Calkin Suero Montero, alumni, doctoral student supervisor, Mälardalen University
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Prof. Sabine Graf, doctoral student supervisor, Athabasca University
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Prof. Violetta Cavalli-Sforza, doctoral student supervisor, Al Akwahayn University
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Assistant Prof. Teemu H. Laine, alumni, doctoral student supervisor, Luleå University of Technology
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Prof. Lazaro S.P. Busagala, doctoral student supervisor, College of Business Education
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Prof. Erkki Sutinen, alumni, doctoral student supervisor, University of Turku
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Prof. Vive Kumar, doctoral student supervisor, Athabasca University
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Dr. Verona Leendertz, doctoral student supervisor, North-West University
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Prof. Cindy Ives, doctoral student supervisor, Athabasca University
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Dr. Fuhua Lee, doctoral student supervisor, Athabasca University
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Prof. Piet Kommers, docent, University of Twente
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Dr. Tuomo Kakkonen, docent, LangWitty Ltd.
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Prof. Mike Joy, docent, doctoral student supervisor, University of Warwick
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Dr. Henriikka Vartiainen, doctoral student supervisor, UEF
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Prof. Laura Hirsto, doctoral student supervisor, UEF
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Dr. Kauna Mufeti, doctoral student supervisor, University of Namibia
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Prof. Kimmo Kettunen, doctoral student supervisor, University of Eastern Finland
Publications
135 items-
Advancing AI education: Assessing Kenyan in-service teachers' preparedness for integrating artificial intelligence in competence-based curriculum
Fundi, Maxwell; Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Ayere, Mildred. 2024. Computers in human behavior reports. 14: -
Assessment of accessibility in virtual laboratories: a systematic review
Deriba, Fitsum G; Saqr, Mohammed; Tukiainen, Markku. 2024. Frontiers in education. 9: -
Can ChatGPT Match Experts? Comparing input for Serious Game Development
Tyni, Janne; Turunen, Aatu; Bednarik, Roman; Kahila, Juho; Tedre, Matti. 2024. International journal of serious games. 11: 87-106 -
Capturing temporal pathways of collaborative roles: A multilayered analytical approach using community of inquiry
Elmoazen, Ramy; Saqr, Mohammed; Hirsto, Laura; Tedre, Matti. 2024. International journal of computer-supported collaborative learning. [Epub ahead of print 14 August 2024]: 1-37 -
ChatGPT and imaginaries of the future of education: insights of Finnish teacher educators
Vartiainen, Henriikka; Valtonen, Teemu; Kahila, Juho; Tedre, Matti. 2024. Information and learning sciences. [Epub ahead of print 13 August 2024]: 1-16 -
ChemAIstry: A Novel Software Tool for Teaching Model Training in K-8 Education
Martin, Fred; Mahipal, Vaishali; Jain, Garima; Ghosh, Srija; Sanusi, Ismaila Temitayo. Teoksessa: Stephenson, Ben; Stone, Jeffrey A(toim.) , 2024. SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education. s. 792-798. ACM -
Co-design Pedagogy for Computational Thinking Education in K-12: A Systematic Literature Review
Sunday, Amos Oyelere; Agbo, Friday Joseph; Suhonen, Jarkko. 2024. Technology, knowledge and learning. [Epub ahead of print 06 Aug 2024]: 1-56 -
Enhancing children’s understanding of algorithmic biases in and with text-to-image generative AI
Vartiainen, Henriikka; Kahila, Juho; Tedre, Matti; López-Pernas, Sonsoles; Pope, Nicolas. 2024. New media and society. [Epub ahead of print 18 May 2024]: 1-27 -
Exploring pre-service biology teachers' intention to teach genetics using an AI intelligent tutoring - based system
Adelana, Owolabi Paul; Ayanwale, Musa Adekunle; Sanusi, Ismaila Temitayo. 2024. Cogent education. 11: -
First Year CS Students Exploring and Identifying Biases and Social Injustices in Text-to-Image Generative AI
Apiola, Mikko; Vartiainen, Henriikka; Tedre, Matti. Teoksessa: Barker, Lecia(toim.) , 2024. ITiCSE 2024: Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education. Volume 1. s. 485-491. ACM