2026

  1. T.-H. Nguyen, T.-N. Ngo, Q.-A.-K. Tran, H.-D.-N. Tran, M.-H. Trinh, H.-A. Pham, Accuracy is not enough: Counterfactual robustness analysis for Vietnamese hallucination detection. In Nguyen, N.T., Iliadis, L., Kozierkiewicz, A., Papaleonidas, A., Vossen, G., Treur, J. (Eds.) Advances in Computational Collective Intelligence. ICCCI 2026. Communications in Computer and Information Science, vol 3043. Springer, Cham.
  2. Q.-A.-K. Tran, H.-D.-N. Tran, T.-N. Ngo, T.-P. Pham, P. Tran, T.-H. Nguyen, M.-H. Trinh, H.-A. Pham, RiceCAM-bench: Focus score benchmarking of CAM explainability methods. In Nguyen, N.T., Iliadis, L., Kozierkiewicz, A., Papaleonidas, A., Vossen, G., Treur, J. (Eds.) Advances in Computational Collective Intelligence. ICCCI 2026. Communications in Computer and Information Science, vol 3043. Springer, Cham.
  3. T.-N. Ngo, H.-D.-N. Tran, M.-H. Trinh, T.-Q. Truong, T.-P. Pham, T.-N.-H. Ngo, Q.-A.-K. Tran, T.-H. Nguyen, H.-A. Pham, Divergent effects of cross-lingual translation on calibrations and explanations in cyber threath sentiment. In Nguyen, N.T., Iliadis, L., Kozierkiewicz, A., Papaleonidas, A., Vossen, G., Treur, J. (Eds.), Advances in Computational Collective Intelligence. ICCCI 2026. Communications in Computer and Information Science, vol 3043. Springer, Cham.
  4. A. Lin, H. Vartiainen, A. Salonen, M. Tedre, Interaction patterns and embodied design processes using an AI robotics for K-12 education. ACM Transactions on Computing Education, 2026.
  5. H. Ahmed, S. López-Pernas, M. Tukiainen, M. Saqr, Idiographic, aligned, and AI-supported learning analytics dashboard to aid student self-regulated learning: Preliminary design and evaluation. In: Weidlich, J., Chounta, I.-A., Tammets, K., Nazaretsy, T., Limbu, B., Wild, F., Arnau-González, P. (Eds.). Mindful TEL: Learning Technologies Shaped with Intention. EC-TEL 2026. Lecture Notes in Computer Science, vol 16906. Springer, Cham, 2026.
  6. H. Vartiainen, J. Kahila, N. Pope, M. Tedre, Understanding AI mechanisms supports disciplinary reasoning and ethical judgement in K-12 literacy education. Informatics in Education, vol. 25, no. 3, pp. 115-150, 2026.
  7. Q.-A-K. Tran, T.-N. Ngo, M.-H. Trinh, H.-D.-N. Tran, T.-H. Nguyen, P. Tran, H.-A. Pham, Transformer-based classification of ilicit darkent marketplace products: A comparative NPL study of machine learning. In Fujita, H., Selamat, A., Ghazali, M., Ali, M. (Eds.), Advances and Trends in Artificial Intelligence. Theory and Applications. IEA/AIE 2026. Lecture Notes in Computer Science, vol 16616. Springer, Singapore.
  8. Q.-A.-K. Tran, M.-H. Trinh, T.-H. Nguyen, H.-D.-N. Tran, T. -N. Ngo, P. Tran, H.-A. Pham, Benchmarking local XAI againts TreeSHAP for explainable diabetes prediction. In Fujita, H., Selamat, A., Ghazali, M., Ali, M. (Eds.), Advances and Trends in Artificial Intelligence. Theory and Applications. IEA/AIE 2026. Lecture Notes in Computer Science, vol 16616. Springer, Singapore.
  9. N.-T.-X. Nguyen, N.-S. Vo, N.-D.-N. Tran, M.-H. Trinh, H.-V. Truong, H.-A. Pham, An agentic RAG-based LLM system for medicine recommendation. In Fujita, H., Selamat, A., Ghazali, M., Ali, M. (Eds.), Advances and Trends in Artificial Intelligence. Theory and Applications. IEA/AIE 2026. Lecture Notes in Computer Science, vol 16616. Springer, Singapore.
  10. L. Morales-Navarro, Y.B. Kafai, O. Hilke, N. Pope, M. Tedre, D.J. Noh, D.A. Fields, D. Metaxa, J. Solyst, R.B. Shapiro, C. Fong, F. Nurdin, S. Sharma, N. Iivari, P.A. Klemettilä, K.-E.K. Bilstrup, L.H. Musaeus, R. Landesman, J. Everson, J. Ryoo, O.S. Iversen, Learning to deconstruct AI/ML systems: Scaffolds to support learners in critically evaluating AI/ML systems. In Litts, B. K., DeLiema, D., Lee, C., Krist, S. Mawasi, A., Martin, L., & Kumpulainen, K. (Eds.), Proceedings of the 20th International Conference of the Learning Sciences – ICLS 2026 (pp. 2204-2214). International Society of the Learning Sciences.
  11. S.S. Oyelere, A.A. Kadams, When code is no longer enough for programming assessment in the GenAI era. Accepted to the Koli Calling ’26: International Conference on Computing Education Research, ACM, 2026.
  12. M. Moilanen, O. Hilke, J. Kahila, T. Parkki, E. Silvennoinen, N. Pope, M. Tedre, Learning machine learning through destructing (X)AI systems in K-12 education. In 2026 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2026.
  13. M. Hamdani, M.A. Abbasi, M. Jäntti, M. Tukiainen, Challenges and opportunities in quality of AI-based software: A systematic mapping study. In: Berger, C., Klös, V. (Eds.), Software Engineering and Advanced Applications. SEAA 2026. Lecture Notes in Computer Science, vol 16864. Springer, Cham, 2026.
  14. J. Muntuumo, I. Tchikenge, I. Jormanainen, J. Nielsen, G. Nhinda, M. Tukiainen, SteamMate: A retrieval-augmented generation architecture for curriculum-grounded STEM education. Accepted to the 2026 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), 2026.
  15. J. Muntuumo, J. Nielsen, G.T. Nhinda, I. Jormanainen, M. Tukiainen, ROS-based robotics education in K-12: A systematic review of teaching approaches and learning outcomes. Accepted to the International Conference on Computing and Communication Networks (ICCCNet-2026), 2026.
  16. S. Kontkanen, V. Rønneberg, T. Matveinen, I. Jormanainen, Supporting children’s creative writing skills with the help of generative arificial intelligence. eleed, Issue se2026, 2026.
  17. K. Aruleba, K.L. Ladipo, I.T. Sanusi, S.S. Oyelere, Scaffoleded AI-verification: Assessment patterns for resource-constrained environments. Proceedings of the ICER 2026: ACM Conference on International Computing Education Research, ACM Press, 2026.
  18. A.A. Kadams, S.S. Oyelere, C.B. Omeh, Transforming computing education in Africa: A scoping review of potential of Generative AI to enhance higher-order thinking skills in programming education. Proceedings of the ICER 2026: ACM Conference on International Computing Education Research, ACM Press, 2026.
  19. H. Ahmed, A. Siddika, S. López-Pernas, M. Tukiainen, M. Saqr, The longitudinal dynamics of GenAI roles: An idiographic approach. In: Saqr, M., Misiejuk, K., López-Pernas, S. (eds) Innovations in Analytics of Learning Dynamics. TNA 2026. Communications in Computer and Information Science, vol 3079. Springer, Cham, 2026.
  20. N. Pope, M. Tedre, Turning language model training from black box into a sandbox. In 2026 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2026.
  21. Y. Albadarin, M. Saqr, N. Pope, M. Tukiainen, Evaluating the effects of generative AI-assisted debugging on students’ critical thinking. Technology, Knowledge and Learning, 2026.
  22. H. Ahmed, S. López-Pernas, L.V.D.E. Vogelsmeier, M. Tukiainen, M. Saqr, An instrument for human-based evaluation of GenAI educational alignment. Technology, Knowledge and Learning, 2026.
  23. T. Pearson, Y.A. Rankin, J. Childs, S. Marshall, A. Grooms, C. Young, A.O. Sunday, B. Banwo, How white is the machine? Examining the racialized space(s) of computing education research. CompEd-WGR 2025: Working Group Reports of the ACM Global Computing Education Conference 2025, ACM, 2026.
  24. E. Silvennoinen, M. Sormunen, J. Kokkola, N. Pope, M. Tedre, Adversarial play as a bridge between computing education and children’s rights education in K-12. In 2026 IEEE Global Engineering Education Conference (EDUCON), IEEE, 2026.
  25. X. Han, T. Suovuo, U. Irshad, T. Lehtonen, T. Mäkilä, E. Sutinen, The paradox of presence: Asymentric interaction in mixed reality distance performance art education. In: Tareq Z. Ahram, T.Z., Karwowski, W., Caglar, T.R. (Eds.), Human-Computer Interaction & Emerging Technologies. AHFE (2026) International Conference. AHFE Open Access, vol 233. AHFE International, USA.
  26. O.P. Tiilikainen, S.K. Sorathia, M. Tukiainen, Virtual ambidextrous hand control: An interaction framework for amplified bimanual coordination in virtual reality. Companion Publications of the 2026 ACM Designing Interactive Systems Conference, pp. 310-314, ACM, 2026
  27. M. Abedi, Autonomous guardians: Integrating agentic AI and blockchain for real-time fraud detection in decentralized education platforms. In Kishor Kumar Reddy, C., Shikhika Kullar, S.S., Nag, A. (Eds.). Agentic AI for Fraud Detection – Autonomous Systems for Secure Transactions and Risk Migitation. Cambridge Scholars Publishing, 2026.
  28. N. Pope, P. Klemettilä, H. Hartikainen, L. Ventä-Olkkonen, S. Sharma, R. Tikkanen, M. Iwata, N. Iivari, M. Tedre, Crafting a language machine: Children’s experiences using a language learning model training tool for generative AI education. In Proceedings of EdMedia 2026 Edinburgh (pp. 2238-2247). Waynesville, NC: Association for the Advancement of Computing in Education (AACE).
  29. H. Vartiainen, J. Kahila, M. Tedre, N. Pope, Understanding data-driven mechanism of social media can facilitate collective, transformative agency. In Proceedings of EdMedia 2026 Edinburgh (pp. 1981-1989). Waynesville, NC: Association for the Advancement of Computing in Education (AACE), 2026.
  30. J. Kahila, H. Vartiainen, S. Kahila, N. Pope, M. Tedre, Children’s proposals for improving social media: Informed perspectives after clasroom workshops. In Proceedings of EdMedia 2026 Edinburgh (pp. 2039-2047). Waynesville, NC: Association for the Advancement of Computing in Education (AACE).
  31. M. Abedi, I.T. Sanusi, M. Tukiainen, Decentralizing truth – A blockchain-based framework for trustworthy information in the GenAI era. In Lahby, M., Schaffer, S.E., Maleh, Y., Banerjee J.S. (Eds.), Combating Misinformation in the Age of Generative AI, CRC Press.
  32. A.A. Adejumo, S.S. Oyelere, I.T. Sanusi, D.O. Okafor, AfriML: A culturally relevant AI tool for teaching machine learning concepts. International Journal of Technology in Education and Science, vol. 10, no. 3, pp.544-563.
  33. F.G. Deriba, M. Saqr, M. Tukiainen, Enhancing students’ learning outcomes through AI integration: An exploratory study in teaching interface design accessibility. Interactive Learning Environments, 2026.
  34. P.K. Boruzie, E.A. Kolog, J. Suhonen, Exploring YouTube as a collaborative learning platform for accounting education in Ghana: A social capital theory approach. Research and Practice in Technology Enhanced Learning, 2026.
  35. P.K. Boruzie, M.M. Hassan, N. Kausar, Three decades of students’ partnership in pedagogical co-design: a scientometric mapping of an emerging research landscape. Discover Education, 2026.
  36. P.K. Boruzie, E.A. Kolog, J. Suhonen, Institutionalizing social networks for collaborative learning in accounting education: Developing country context. In Proceedings of the 7th International Conference on Modern Educational Technology (ICMET), pp. 125-133, IEEE, 2026.
  37. O. Hilke, N. Pope, J. Kahila, H. Vartiainen, T. Roos, T. Parkki, M. Tedre, Breakable machine: A K-12 clasroom game for transformative AI literacty through spoofing and eXplaianble AI (XAI). Proceedings of the 40th Annual AAAI Conference on Artificial Intelligence, vol. 40, no. 47, pp. 40762-40770.
  38. T. Valtonen, H. Vartiainen, E. Vähä, J. Kukkonen, E. Sointu, J. Kahila, M. Tedre, Measuring the data agency of pre-service teachers: A six factor model. Informatics in Education, vol. 25, no. 1, pp. 201-221.
  39. J. Nathaniel, S.S. Oyelere, J. Suhonen, M. Tedre, An experimental study of structured Generative AI integration to mitigate pedagogical, cognitive, and ehtical barriers in programming education. Frontiers in Computer Science, 2026.
  40. M. Abedi, I.T. Sanusi, M. Tukiainen, Cultivating AI literacty in young learners: A blockchain enhanced framework for trustworthy and privacy preserving educational experiences. AI, Brain and Child, vol. 2, no. 3, 2026.
  41. A. Adejumo, I.T. Sanusi, S.S. Oyelere, J. Suhonen, A systematic review of the impact of GenAI on learning performance, AI hallucinations and problem-solving in computer science education. Computers & Education: Artificial Intelligence, 2026.
  42. H. Mashood, I. Jormanainen, From novice to practitioner in two weeks: A qualitative study of intensive industrial robotics education. In Proceedings of 17th International Conference on Robotics in Education (RiE 2026). Accepted for publication.
  43. M. S. Pramanic, I. Jormanainen, P. Vartiainen, M. Kortelainen, RoboEdu: A remote robotics education environment for learning ROS 2. In Proceedings of 17th International Conference on Robotics in Education (RiE 2026). Accepted for publication.
  44. J. Laru, K. Mäkitalo, M. Tedre, T. Valtonen, H. Vartiainen, Ohjelmoinnista ohjelmoinnilliseen ajatteluun ja tekoälytaitojen edistämiseen. In Kyrönlampi, T., Mäkitalo, K., M. Uitto (Eds.), Esi- ja alkuopetuksen käsikirja (3. painos), 2026.
  45. M. Abedi, I.T. Sanusi, M. Tukiainen, An ethical AI framework for STEM education – A mixed methods evaluation. American Journal of STEM Education, vol. 26, 2026.
  46. M. Conde-González, F. Rodriguez-Sedano, F. J. Garcia-Peñalvo, L. Suganuma, J. Gonçalves, I. Jormanainen, S. Yigzaw, A Systematic Literature Review on the Benefits of Robotics and Active Learning Methodologies for Promoting STEAM Education among Students with Intellectual and Developmental Disabilities. International Journal of Engineering Education, vol. 42, no. 1, pp. 57-70, 2026.
  47. F.G. Deriba, M. Saqr, M. Tukiainen, Does the impact of GenAI persits in learning? Comparing AI and instructor feedback on accessibility. Universal Access in the Information Society, vol. 25, no. 29, 2026.