Belle Dang

Belle's research examines how humans and AI collaborate and learn together in increasingly hybrid digital environments

PhD student Belle Dang
PhD student Belle Dang

Supervisors: Dr Yvonne Hong and Dr Cathal Doyle

Profile

Belle Dang is currently a doctoral researcher in the School of Information Management whose work examines how humans and artificial intelligence interact, collaborate, and learn together in increasingly hybrid digital environments.

Her research sits at the intersection of information systems, AI in education, and learning sciences, focusing on how emerging AI systems reshape human decision-making, regulatory processes, and professional capability. Her prior work at the University of Oulu advanced understanding of human-AI interactions and hybrid intelligence through multimodal learning analytics, mixed-reality experiments, and studies of different AI application in education and educational research.

Her doctoral research project at VUW investigates how higher education can be redesigned to prepare learners for AI-integrated professional environments. Using an Action Design Research approach, the project develops and evaluates curriculum models that embed meaningful human–AI collaboration into disciplinary learning.

This work examines how AI reshapes cognitive, metacognitive, and organizational practices, and how curricula can cultivate the competencies required for graduates to work effectively with AI systems. This also aims to generate actionable guidance for universities seeking to design human-centered, future-focused AI curricula.

Qualifications

  • Master’s Degree in Education and Technology, University of Oulu, Finland (2023)
  • Bachelor of Hospitality Management (Honour's), Oxford Brookes University, UK (2018)
  • Diploma of Higher Education, International Business Foundation (Distinction), Chichester College, UK (2014)

Research Interests

  • Human–AI collaboration and hybrid intelligence
  • Human–AI co-working competencies and workforce readiness
  • AIED, learning analytics, and self-/co-regulation of learning
  • Generative AI in organizational and educational contexts
  • AI-mediated decision-making and user behavior
  • Responsible and human-centered AI design in information systems

Publications

  • For Belle's Google Scholarly articles click here 
  • Dang, B., Huynh, L., Gul, F., Rosé, C., Järvelä, S., & Nguyen, A. (2025). Human–AI collaborative learning in mixed reality: Examining the cognitive and socio-emotional interactions. British Journal of Educational Technology.
  • Dang, B., Gul, F., Huynh, L., & Nguyen, A. (2025). Stimulating Active Learning Through Learner-AI Interactions in Mixed Reality for Hybrid Intelligence. Joint Proceedings of LAK 2025 Workshops:
  • Co-Located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025).
  • Nguyen, A., Kishore, S., Hong, Y., Qutab, S., & Dang, B. (2025). Generative Artificial Intelligence (AI) in education: From organizing visions to official guidelines. Information Technology & People, 38(8), 172–199.
  • Su, M., Dang, B., Nguyen, A., & Nagashima, T. (2025). Choice-making in an adaptive learning system with motivational pedagogical agents. Npj Science of Learning, 10(1), 77.
  • Tran, P. T. H., Huynh, L., Bien, T.-A., Dang, B., & Nguyen, A. (2025). Preparing preservice teachers for generative AI in lesson planning: A process mining study of AI mindset and tool-only training. Journal of Digital Learning in Teacher Education, 1–15.
  • Huynh, L., Le, T. H., Dang, B., An, B. T., Vu, C. T., & Nguyen, A. (2025). Mindset matters: Fostering teachers’ responsible AI use through professional development. Journal of New Approaches in Educational Research, 14(1), 23.
  • Nguyen, A., Dang, B., Gul, F., & Huynh, L. (2025). Mapping the Knowledge Construction Process Through Interactions with an Embodied GenAI Agent in Mixed Reality. 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), 212–216.
  • Nguyen, A., Duong, A. T., Nguyen, D. T. B., Lai, V. T. T., & Dang, B. (2025). Guidelines for learning design and assessment for generative artificial intelligence-integrated education: A unified view. Information and Learning Sciences.
  • Nguyen, A., Gul, F., Dang, B., Huynh, L., & Tuunanen, T. (2025). Designing embodied generative artificial intelligence in mixed reality for active learning in higher education. Innovations in Education and Teaching International, 1–16.
  • Nguyen, A., Huynh, L., Dang, B., Pohjolainen, S., Mattila, J., Paajala, I. J., Tikkanen, R., Lehto, E., Poikonen, F., & Karppinen, P. (2025). Conceptualizing and enhancing metaverse literacy for education. Education and Information Technologies, 1–21.
  • Edwards, J., Nguyen, A., Lämsä, J., Sobocinski, M., Whitehead, R., Dang, B., Roberts, A.-S., & Järvelä, S. (2025). Human-AI collaboration: Designing artificial agents to facilitate socially shared regulation among learners. British Journal of Educational Technology, 56(2), 712–733.
  • Edwards, J., Nguyen, A., Lämsä, J., Sobocinski, M., Whitehead, R., Dang, B., & Järvelä, S. (2025). A Wizard of Oz methodology for designing future learning spaces. Higher Education Research & Development, 44(1), 147–162.
  • Ngo, D., Nguyen, A., Dang, B., & Ngo, H. (2024). Facial expression recognition for examining emotional regulation in synchronous online collaborative learning. International Journal of Artificial Intelligence in Education, 34(3), 650–669.
  • Nguyen, H. L., Dang, B., Hong, Y., & Nguyen, A. (2024). Digital transformation in Vietnamese higher education: An epistemic network analysis of policy documents. Journal of International Cooperation in Education.
  • Edwards, J., Nguyen, A., Sobocinski, M., Lämsä, J., De Araujo, A., Dang, B., Whitehead, R., Roberts, A.-S., Kaarlela, M., & Jarvela, S. (2024). MAI-A Proactive Speech Agent for Metacognitive Mediation in Collaborative Learning. Proceedings of the 6th ACM Conference on Conversational User Interfaces, 1–5.
  • Dang, B., Nguyen, A., & Järvelä, S. (2024a). Deliberative Interactions for Socially Shared Regulation in Collaborative Learning: An AI-Driven Learning Analytics Study. Journal of Learning Analytics, 11(3), 192–209.
  • Dang, B., Nguyen, A., & Hong, Y. (2024). Decoding AI-Assisted Academic Writing Process: Insights from Lag Sequential and Epistemic Network Analyses. Proceedings of the 2024 2024 Pacific Asia Conference on Information Systems (PACIS).
  • 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. Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 241–254.
  • Nguyen, A., Hong, Y., Dang, B., & Huang, X. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education, 49(5), 847–864.
  • Dang, B., Nguyen, A., & Järvelä, S. (2024b). The Unspoken Aspect of Socially Shared Regulation in Collaborative Learning: AI-Driven Learning Analytics Unveiling ‘Silent Pauses’. Proceedings of the 2024 Learning Analytics and Knowledge Conference (LAK24).
  • Dang, B., Nguyen, A., & Järvelä, S. (2023). Clustering deliberation sequences through regulatory triggers in collaborative learning. Proceedings of the 2023 IEEE International Conference on Advanced Learning Technologies (ICALT), 158–160.
  • Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B.-P. T. (2023). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221–4241.
  • Dang, B., Nguyen, A., Hong, Y., Nguyen, B.-P. T., & Tran, B.-N. D. (2023). Revealing the Hidden Structure of Affective States During Emotion Regulation in Synchronous Online Collaborative Learning. Proceedings of the 56th Hawaii International Conference on System (HICSS).
  • Dang, B., Vitiello, R., Nguyen, A., Rosé, C. P., & Järvelä, S. (2023). How Do Students Deliberate for Socially Shared Regulation in Collaborative Learning? A Process-Oriented Approach. Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning (CSCL), Pp. 59-66.
  • Hong, Y., Nguyen, A., Dang, B., & Nguyen, B.-P. T. (2022). Data ethics framework for artificial intelligence in education (AIED). 2022 International Conference on Advanced Learning Technologies (ICALT), 297–301.
  • Dang, B., Hong, Y., Nguyen, B.-P. T., & Nguyen, A. (2022). Methodological Progress in Co-Regulation and Socially Shared Regulation of Learning Research: A Systematic Review. Proceedings of International Conference of the Learning Sciences (ICLS), 2078–2079.
  • Nguyen, A., Hong, Y., Dang, B., & Nguyen, P. T. B. (2022). Emotional Regulation in Synchronous Online Collaborative Learning: A Facial Expression Recognition Study. ICIS 2022 Proceedings, 12.