LabCompass

Daniel Guberman

Social Sciences · Purdue University West Lafayette

Mid career · publishing since 2011

Publications

21

Citations

98

Est. group size

Recurring co-author estimate

Active years

16

Publishing since 2011

Research summary
AI-generated

Daniel Guberman studies teaching and learning in higher education, focusing on topics like student motivation, course design, online and ungraded courses, and student-faculty partnerships. His recent work also explores emerging issues such as generative AI's impact on accessibility for students with disabilities in educational settings.

Teaching and learning in higher educationStudent motivation and engagementOnline and blended course designDisability and accessibility in educationEmerging educational technology (e.g., AI)

Publication output has been modest and irregular over the past decade, with a small uptick in 2024 followed by continued activity into 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.6/year recently
2017: 3 publications172018: 1 publication182019: 2 publications192020: 1 publication202021: 2 publications212022: 1 publication22232024: 4 publications4242025: 1 publication252026: 2 publications26
Recent publications
Publishes in
  • Teaching & Learning Inquiry The ISSOTL Journal×3
  • Journal of Assessment and Institutional Effectiveness×2
  • Purdue e-Pubs (Purdue University)×2
  • Higher Education Research & Development×1
  • Arts and Humanities in Higher Education×1
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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 20, 2026.

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