2024

  1. E. Sointu, S. Väisänen, L. Hirsto, T. Paavalainen, M. Saqr, S. López-Pernas, T. Valtonen, Creatively opening the constraints of learning analytics in inclusive, Elementary-School Level STEAM Education. In: Tillman, D.A. (Eds.) Exploring Perspectives on Creativity Theory and Research in Education. Creativity Theory and Action in Education, vol 8. Springer, Cham, 2024.
  2. I. Kilanioti, M. Saqr, M.Á. Queiruga-Dios, Editorial: Diversity in the social sciences: researching digital education in and for the global south. Frontiers in Education, vol.9, 2024.
  3. M.A. Ayanwale, E.K. Frimbong, O.A.G. Opesemowo, I.T. Sanusi, Exploring factors that support pre-service teachers’ engagement in learning artificial intelligence. Journal of STEM Education Research, 2024.
  4. M. Fundi, I.T. Sanusi, S.S. Oyelere, M. Ayere, Advancing AI education: Assessing Kenyan in-service teachers’ prepardness for integrating artificial intelligence in competence-based curriculum. Computers in Human Behavior Reports, vol. 14, 2024.
  5. A. Munoz-Arcentales, J. Conde, Á. Alonzo, J. Salvachúa, W. Velasquez, S. López-Pernas, Data fusion and homogenization: Two key aspecrts for building digital twins of smart spaces. In: Liu, Z. (Eds.), Intelligent Data-Centric Systems, Smart Spaces. Academic Press, 2024.
  6. M.M. McGill, S. Heckman, M. Liut, I.T. Sanusi, C. Szabo, Unlocking excellence in educational research: Guidelines for high-quality research that promotes learning for all, 2024.
  7. F. Martin, S.V. Movahed, J. Dimino, A. Farrell, E. Irankhah, S. Ghosh, G. Jain, V. Mahipal, P. Rayavaram, I.T. Sanusi, E. Salas, K. Wolkowicz, S. Narain, Perception, trust, attitudes, and models: Introducing children to AI and machine learning with five software exhibits. In the Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024.
  8. T.K.F. Chiu, Z. Ahmad, M. Ismailov, I.T. Sanusi, What are artificial intelligence literacy and competency? A comprehensive framework to support them. Computers and Education Open, vol. 6, 2024.
  9. R. Kaliisa, K. Misiejuk, S. López-Pernas, M. Khalil, M. Saqr, Have learning analytics dashboards lived up the hype? A systematic review of impact on students’ achievement, motivation, participation and attitude. Proceedings of 14th Learning Analytics and Knowledge Conference, pp. 296-304, ACM, 2024.
  10. M. Saqr, S. López-Pernas, Mapping the self in self-regulation using complex dynamic systems approach. British Journal of Educational Technology, 2024.
  11. Denning, P.J., Tedre, M., Yongpradit, P., Misconceptions about computer science, vol. 60, no. 3, pp. 31-33, 2024.
  12. O.P. Adelana, M.A. Ayanwale, I.T. Sanusi, Exploring pre-service biology teachers’ intention to teach genetics using an AI intelligent tutoring – based system. Cogent Education, vol. 11, no. 1, 2024.
  13. F. Martin, Y. Mahipal, G. Jain, S. Ghosh, I.T. Sanusi, ChemAIstry: A novel software tool for teaching model training in K-8 education. In the Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024.
  14. M. Oyedoyin, I.T. Sanusi, M.A. Ayanwale, Young children’s conception of computing in an African setting. Computer Science Education, 2024.
  15. R. Piiroinen, I. Jormanainen, M. Tukiainen, Positive customer experience is enhanced by effective agile practices. In: Hyrynsalmi, S., Münch, J., Smolander, K., Melegati, J. (eds) Software Business. ICSOB 2023. Lecture Notes in Business Information Processing, vol 500. Springer, Cham, 2024.
  16. M. Saqr (2024). Group-level analysis of engagement poorly reflects individual students’ processes: Why we need idiographic learning analytics. Computers in Human Behavior, art. no. 107991, 2024.
  17. A. Mühling, I. Jormanainen, Koli Calling conference recap. ACM SIGCSE Bulleting, vol. 56, no. 1, pp. 6-7, 2024.
  18. H. Aludhilu, E. Sutinen, Software startup ecosystem in Namibia. In: Kruchten, P., Gregory, P. (Eds.), Agile Processes in Software Engineering and Extreme Programming – Workshops. XP XP 2022 2023. Lecture Notes in Business Information Processing, vol 489. Springer, Cham, 2024.
  19. H. Vartiainen, M. Tedre, How text-to-image generative AI is transforming mediated action. IEEE Computer Graphics and Applications, 2024.
  20. J. Kahila, H. Vartiainen, M. Tedre, E. Arkko, A. Lin, N. Pope, I. Jormanainen, T. Valtonen, Pedagogical framework for cultivating children’s data agency and creative abilities in the age of AI. Informatics in Education, 2024.
  21. S. López-Pernas, M. Saqr, M. Conde-González, M. Apiola, M. Tedre, Mapping computer engineering education research: A topic analysis. Computer, 2024.
  22. I.T. Sanusi, M.A. Ayanwale, A.E. Tolorunkele, Investigating pre-service teachers’ artificial intelligence perception from the perspective of planned behavior theory. Computers and Education: Artificial Intelligence, 2024.
  23. P. Mertala, S. López-Pernas, H. Vartiainen, M. Saqr, M. Tedre, Digital natives in the scientific literature: A topic modeling approach. Computers in Human Behavior, vol. 152, 2024.
  24. K. Bobrowicz, S. López-Pernas, Z. Tauber, M. Saqr, S. Greiff, Prospects in the field of learning and individual differences: Examining the past to forecast the future using bibliometrics. Learning and Individual Differences, vol. 109, 2024.