LabCompass

Michelle Soledad

Engineering · The Ohio State University

Mid career · publishing since 2016Rising activity

Publications

44

Citations

270

Est. group size

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Michelle Soledad studies engineering education, focusing on how engineering students learn, feel a sense of belonging, and develop professional identity within project-based and co-op (alternating work and study) learning models. Her work examines topics like student assessment methods, grading practices, team development, mentoring, and using new tools such as generative AI to analyze qualitative feedback. This research is aimed at improving how engineering programs are designed and taught, particularly in practice-based and community-engaged curricula.

Engineering education and curriculum designStudent belonging, identity, and wellbeingAssessment and grading practicesCo-op and project-based learning modelsQualitative research methods in education, including AI-assisted analysis

Publication output has fluctuated over the past decade with a notable surge in 2024, suggesting an active but variable rather than steadily increasing pace.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.8/year recently
2017: 1 publication172018: 8 publications182019: 2 publications192020: 5 publications202021: 2 publications212022: 1 publication222023: 1 publication232024: 16 publications16242025: 5 publications252026: 1 publication26
Recent publications
Publishes in
  • 2021 ASEE Virtual Annual Conference Content Access Proceedings×2
  • Thinking Skills and Creativity×1
  • International Journal of Qualitative Methods×1
  • International Journal of Education in Mathematics Science and Technology×1
  • Innovations in Education and Teaching International×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 19, 2026.

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