Learning with Generative AI
Learning with GenAI
The "Learning with Generative AI" project aims to explore the integration of generative artificial intelligence into educational settings to enhance learning through human-AI shared regulation. This initiative focuses on how learners and generative AI models can collaboratively manage the learning process through setting goals, monitoring progress, and reflecting on outcomes. By emphasizing shared control and decision-making between humans and AI, the project seeks to foster active engagement and develop learners' self-regulation skills.
Related Publications
Nguyen, A. (2025, preprint). Human-AI Shared Regulation for Hybrid Intelligence in Learning and Teaching: Conceptual Domain, Ontological Foundations, Propositions, and Implications for Research. Hawaii International Conference on System Sciences (HICSS).
Nguyen, A., Hong, Y., Dang, B., & Huang, X. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education, 1-18.
Nguyen, A., Ilesanmi, F., Dang, B., Vuorenmaa, E., & Järvelä, S. (2024). Hybrid Intelligence in Academic Writing: Examining Self-Regulated Learning Patterns in an AI-Assisted Writing Task. In HHAI 2024: Hybrid Human AI Systems for the Social Good (pp. 241-254). IOS Press.
Dang, B., Nguyen, A., & Hong, Y. (2024). Decoding AI-Assisted Academic Writing Process: Insights from Lag Sequential and Epistemic Network Analyses. Pacific Asia Conference on Information Systems (PACIS). Ho Chi Minh, Vietnam
Project Core Members
Dr. Luna Huynh
Dr. Luna Huynh is a postdoctoral researcher at the Learning and Educational Technology Research Lab - University of Oulu. She holds a PhD in Applied Linguistics, specializing in cognitive psycholinguistics and second language acquisition within multimodal learning environments. Luna has extensive experience in teaching and conducting research across diverse contexts, including Vietnam, Taiwan, Australia, and Finland. Luna conducts research on the cognitive and affective aspects of multimedia learning.
Belle Dang
Belle Dang is a researcher at the Learning & Educational Technology Research Unit (LET) at the University of Oulu, where she focuses on the intersection of artificial intelligence (AI) and education. Her work investigates how AI can enhance learning environments, particularly through understanding and supporting how learners regulate their own learning processes. Her business background has shaped her interest in conducting research that not only advances theoretical understanding but also has practical applications with real-world impact.
ORCID: https://orcid.org/0009-0006-8734-6697.
LinkedIn: https://www.linkedin.com/in/belle-dang-402252b0/
Boshra Najari
Boshra is a Ph.D. researcher in the Hybrid Intelligence Program at the University of Oulu. She earned her master’s degree in teaching English as a Second Language from Tarbiat Modares University, where her research focused on the sociocultural guidance of IELTS writing tasks. She continued her studies in the Language Education and Technology (LET) master's programme. She has also worked as a research assistant in LET and has over 7 years of teaching experience. Boshra's research has focused on Vygotsky’s approach to teaching writing, as well as the role of out-of-classroom activities in enhancing motivation and learner engagement. She is particularly interested in exploring the educational dimensions of human-AI interaction.
Dr. Andy Nguyen
Dr. Andy Nguyen is an Assistant Professor working at the Learning and Educational Technology (LET) Research Lab, Faculty of Education and Psychology and the leader of LET-X research team within the lab. He is also an Adjunct Professor in Applied Artificial Intelligence at the Faculty of Information Technology and Electrical Engineering (ITEE) at the same university. Beyond his academic research, he also brings industry experience as a business analyst and ICT consultant in New Zealand (2014-2018). He is currently a co-chair of the Advances in Teaching and Learning Technologies minitrack at Hawaii International Conference on System Sciences (HICSS), an Associate Editor of ICIS2024 “Digital Learning and IS Curricula” track, an Editorial Board Member of British Journal of Educational Technology and an Associate Editor of the journal of Policy Futures in Education.