LabCompass

Kyungbin Kwon

Computer Science · Indiana University

Mid career · publishing since 2006Rising activity

Publications

75

Citations

1,502

Est. group size

Recurring co-author estimate

Active years

21

Publishing since 2006

Research summary
AI-generated

Kyungbin Kwon studies how technology is used to teach computing and other subjects in classrooms, from elementary school through college. Recent work focuses on teaching computational thinking (breaking problems down in ways computers can help solve), integrating artificial intelligence into school curricula, and using tools like augmented reality, mixed reality, and educational games to support learning. The research also examines issues such as gender gaps in computer science education and how teachers adopt new curricula.

Computer science and computational thinking educationAI in K-12 and higher educationEmbodied and mixed-reality learningGamification and online learningEquity and gender gaps in CS education

Publication activity has varied year to year but rose sharply in 2024-2025, indicating a recent period of growing output.

Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026

Funding
Public award records

Current awards run through August 2029 — about 3 years of funding on record from today. Awards are often renewed, so this is what is currently public, not a forecast.

  • ActiveNSF 2517354through Aug 2029 · $583k awarded

    Collaborative Research: Semiconductor Informal Learning Initiative through Community-Oriented Networks using Tangibles and Mixed Reality

  • ActiveNSF 2431574through May 2028 · $133k awarded

    Collaborative Research: CISE-MSI: RDP: IIS: Integrating Biology and Computer Science through Embodied Robotics in Elementary Classrooms

1 earlier award
  • NSF 2048989Sep 2021 – Aug 2025 · $725k awarded

    Supporting Early Learning of Computational Thinking Using Mixed Reality Technology

Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.

In context
Among 784 mid career Computer Science PIs within our index
Citations: 1,502cohort median 434
h-index: 20cohort median 10
Publications / year (recent): 6.0cohort median 3.8

Typically publishes in teams of ~3 · 62% small-team papers (≤3 authors) · across 34 venues

Publication cadence
Publications per year over the last 10 years — averaging 6.0/year recently
2017: 10 publications172018: 3 publications182019: 7 publications192020: 4 publications202021: 9 publications212022: 4 publications222023: 2 publications232024: 12 publications12242025: 11 publications252026: 1 publication26
Collaborators per year
Distinct co-authors at Indiana University each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.
2017: 2 collaborators at the same institution2018: 0 collaborators at the same institution2019: 0 collaborators at the same institution2020: 5 collaborators at the same institution2021: 1 collaborator at the same institution2022: 0 collaborators at the same institution2023: 0 collaborators at the same institution2024: 1 collaborator at the same institution2025: 6 collaborators at the same institution1719212325
Recent publications
Publishes in
  • Educational Technology Research and Development×4
  • Journal of Educational Computing Research×4
  • International Journal of Computer Science Education in Schools×4
  • Computers and Education Artificial Intelligence×3
  • Education and Information Technologies×3
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 27, 2026.

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