LabCompass

Moses Olayemi

Engineering · Purdue University West Lafayette

Mid career · publishing since 2016Rising activity

Publications

24

Citations

18

Est. group size

~1

Recurring co-author estimate

Active years

11

Publishing since 2016

Research summary
AI-generated

Moses Olayemi works in engineering education, focusing on how engineering is taught and learned, with particular attention to culturally relevant teaching approaches, African and Nigerian contexts, and student experiences such as self-efficacy and sense of belonging. He also applies these educational interests to petroleum engineering, exploring how data analytics and machine learning can be integrated into that curriculum. His work combines qualitative and mixed-methods studies of students, teachers, and curricula rather than laboratory or purely technical engineering research.

Engineering education and curriculum designCulturally relevant and African-context educationPetroleum/reservoir engineering education and data analytics integrationStudent self-efficacy, belonging, and diversity in engineeringFaculty development and international engineering education communities

Publication output was minimal or absent from 2017-2020, then increased noticeably starting in 2021, peaking sharply in 2024, suggesting a recent and growing period of research activity.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
171819202021: 3 publications212022: 4 publications222023: 1 publication232024: 10 publications10242025: 4 publications252026: 1 publication26
Recent publications
Publishes in
  • Journal on Education in Emergencies×2
  • SPE Nigeria Annual International Conference and Exhibition×1
  • 2021 ASEE Virtual Annual Conference Content Access Proceedings×1
  • Proceedings of the 2021 AERA Annual Meeting×1
  • Proceedings of the 2022 AERA Annual Meeting×1
Similar researchers
By research-topic overlap

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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