Research

Areas of focus

A feedback loop. Co-design carries career and life design research into practice, and AI and learning analytics turn practice back into evidence. Career &Life Design Practice Co-design AI · Learning Analytics

I study how people design their careers and lives. I co‑design learning with learners, educators, and communities. With AI and learning analytics I examine what works, for whom, and under what conditions. That evidence goes back into practice.

Publications

Peer-reviewed journal articles

  • Lee, C., Noh, E., Lee, S., & Kwon, H. G. (2026). Pre-post changes following an AI-integrated career education course for first-year students in emerging technology fields with deferred major selection. The Journal of Career Education Research, 39(3), 143–161. In Korean
  • Hong, S., Park, S., Park, G., Han, D., Kim, J., Kwon, H., Lee, E., Kim, G., Kwon, H. G., & Lim, C. (2026). The effects of programming mentoring for elementary school students on college student mentors’ programming self-efficacy and teaching self-efficacy. The Journal of Korean Association of Computer Education, 29(9), 138–147. In Korean
  • Rye, K., & Kwon, H. G. (2025). Populism and healthcare crisis in Korea: An actor–discourse network analysis. Korean Policy Studies Review, 34(3), 261–293. In Korean
  • Kwon, H. G., & Kang, S. (2024). What factors most significantly predict student satisfaction with K-MOOCs? A machine learning approach. International Journal of Contents, 20(3), 62–70.
  • Kwon, H. G., & Jang, H. (2024). An interaction-based instructional design model for enhancing career development competencies of university students. The Journal of Career Education Research, 37(3), 1–24. In Korean
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  • Kwon, H. G., Lee, J., & Jang, H. (2023). A study on the informal learning process in an online community. Journal of Competency Development & Learning, 18(3), 33–61.
  • Kwon, H. G., Eum, S., & Jang, H. (2023). The effect of informal learning and formal learning on entrepreneurship of university students: Focusing on the mediating effects of career development competencies. The Journal of Lifelong Education and HRD, 19(3), 79–100. In Korean
  • Yoon, S., Kwon, H. G., Jeon, Y., Lee, Y., Lee, H., Lim, D., & Kim, S. (2023). Co-designing human-centered learning analytics: A case study. Journal of the Korean Association of Information Education, 27(3), 331–343. In Korean
  • Kwon, H. G., Eum, S., & Jang, H. (2023). A study on the process of forming career development competencies of university students. The Journal of Career Education Research, 36(1), 1–20. In Korean
  • Hong, S., Kwon, H. G., & Han, H. (2022). An exploratory study on online education scaffolding strategy and effect at the university using a systematic review. Journal of Digital Convergence, 20(4), 63–72. In Korean
  • Lee, Y., Jang, H., Ann, H., & Kwon, H. G. (2020). Qualitative research on the experiences and perceptions of participants in field placements. The Journal of Business Education, 34(2), 1–2. In Korean

Government and policy reports

  • Ban, G., Cho, S., Park, L., Kwon, H. G., Yun, J. H., Hwang, H., & Lee, D. (2024). In the era of transformation: Establishing a future work and skill anticipation system. KRIVET. In Korean
  • Kim, J., Min, J., Ban, G., Jang, S., Lee, J., Kim, H., Yun, J. H., Kwon, H. G., Yoon, H., & Kang, S. (2024). Korean Education and Employment Panel II (2024). KRIVET. In Korean
  • Kim, J., Min, J., Ban, G., Jang, S., Lee, J., Kim, H., Yun, J. H., Kwon, H. G., Yoon, H., & Kang, S. (2024). Research project on talent development trend analysis (2024). KRIVET. In Korean
  • Min, J., Ban, G., Kim, J., Jang, S., Lee, J., Kim, H., Yun, J. H., & Kwon, H. G. (2024). Generation and utilization of the 4th Human Capital Corporate Panel data (2023). KRIVET. In Korean
  • Yoon, H., Min, J., Kim, J., Choi, S., Kang, S., Kim, H., Lee, J., Yun, J. H., & Kwon, H. G. (2023). Korean Education and Employment Panel II (2023). KRIVET. In Korean
  • Yoon, H., Min, J., Kim, J., Choi, S., Kang, S., Kim, H., Lee, J., Yun, J. H., & Kwon, H. G. (2023). Research project on talent development trend analysis (2023). KRIVET. In Korean
  • Min, J., Yoon, H., Kim, J., Choi, S., Kang, S., Kim, H., Lee, J., Yun, J. H., & Kwon, H. G. (2023). Human Capital Corporate Panel (2023). KRIVET. In Korean

Professional and policy magazines

  • Kwon, H. G., Kim, D., Kim, H., Nam, J., Moon, A., Park, L., Ban, G., Yang, J., Yun, J. H., Hwang, H., Hong, S., & Hong, Y. (2024). [Special roundtable] Artificial intelligence and vocational competencies: The changing future and research. THE HRD REVIEW. In Korean
  • Kwon, H. G., & Ban, G. (2024). Analysis of skills demand and supply programs in Singapore’s SkillsFuture. THE HRD REVIEW. In Korean

Books

  • Oh, Y. J., Lee, M. H., Kwon, H. G., Jeong, S. E., & Moon, S. G. (2026). AI-enabled public administration: Innovation with big data and AI agents. In Korean
  • Kwon, H. G.*, & Lee, C.* (2025). Career journey with AI. Geultong Publishing. *Equal contribution. In Korean
  • Kwon, H. G.*, & Song, S.* (2025). Entrepreneurship with AI. Geultong Publishing. *Equal contribution. In Korean

Book chapters

  • Kwon, H. G.*, & Lee, H.* (2023). Practicing learning analytics and ethics. In AdTech Books. *Equal contribution. In Korean
  • Park, A., & Kwon, H. G. (2022). Big data and AI; Blockchain and NFTs. In 2022 online arts and culture education trend analysis report No. 3: EdTech evolving alongside emerging technologies (pp. 29–53). Korea Arts & Culture Education Service. In Korean

Presentations

  • Kwon, H. G., Song, Y., Lee, H. H., Eom, J., Lee, Y., & Sung, J. (2026). LLM-based multi-agent simulation for pre-validating an AI core curriculum. AECT International Convention, Chicago, IL, USA. Accepted
  • Lee, H. H., Kwon, H. G., Kim, J., Sung, J., Choi, J., Yang, H., Kim, C., & Lujan, M. (2026). Influence and negotiation in co-designing an AI-enhanced multimodal learning analytics platform for secondary STEM classrooms. Impactful and Responsible AI Systems for Education Workshop (IRAISE), Festival of Learning 2026. Proceedings of Machine Learning Research.
  • Kwon, H. G., Song, Y., Lee, H. H., Eom, J., Lee, Y., & Sung, J. (2026). Designing university-wide AI core courses for higher education: A design-development research approach. International Conference on Learning Sciences and Educational Innovation (ICOLSEI).
  • Kim, S., & Kwon, H. G. (2025). Exploring a learning analytics model for career-based subject education. Summer Conference of the Korean Educational Research Association.
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  • Rye, K., & Kwon, H. G. (2025). How populism undermines systems: Cognition, organization, and resource mobilization in the politics of medical school quota expansion. Spring Conference of the Korean Association for Critical Sociology.
  • Kwon, H. G., Jung, K., Kim, E., & Kim, A. (2024). Enhancing AI literacy through gamification in open learning environments: Using statistical methods and text mining. Academy of Human Resource Development (AHRD) International Conference.
  • Kwon, H. G., Jung, K., Kim, E., & Kim, A. (2024). The impact of gamification on AI literacy enhancement in open learning environments: A comparative discourse analysis based on levels of AI literacy. Korean Society for Learning and Performance Conference.
  • Kwon, H. G., & Yun, J. H. (2024). Analysis of research trends in the Korean Education and Employment Panel using topic modeling and generative AI. KRIVET Panel Conference.
  • Kwon, H. G., Eum, S., & Jang, H. (2023). A study on the process of forming career development competencies of university students. 42nd Graduate School Colloquium, Department of Education, Dongguk University.
  • Hong, S., Kwon, H. G., & Han, H. (2022). An exploratory study on online education scaffolding strategy and effect at the university using a systematic review. Korean Society for Educational Technology Conference.

Grants & Funded Projects

2026 – 2027Multimodal Futures: Responsible AI for Equitable, Multilingual STEM Education Across Global ContextsCo-Investigator · University of Virginia Global Programs of Distinction Grant · PI: H. H. Lee
2026 – 2027Multimodal STEM+AI Classrooms: A Sociocultural Inquiry into Participatory Design for Collaborative LearningCollaborator · UVA School of Education and Human Development IDEAs Award · PI: H. H. Lee
2026What Should Be the Core Curriculum for Universities in the Age of AI?Principal Investigator · National Center of Excellence in SW, Korea University
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2022 – 2023Metaverse-Based AI BootcampProject Director · Korea University
2022Designing Learning Analytics Indicators to Improve LiteracyProject Director · Seoul Metropolitan Office of Education (SERII)
2022AI Leaders Forum: A Learning Analytics Approach to Developing New EdTech ServicesProject Director · Korea EduTech Industry Association and NIPA
2022Machine Learning Camp for Non-MajorsProject Director · University of Seoul

Methods

The research question and its assumptions come first. I trained across methods so that I can choose the one that fits.

Quantitative
Supervised machine learning · Topic modeling · Social network analysis · Discourse network analysis · Structural equation modeling
Qualitative
Grounded theory · Phenomenological research · Case study · Content analysis
Mixed methods
Design and development research · Co-design