Dr. Esohe, PhD.
Assistant Professor of Instruction in Artificial Intelligence
Texas State University
Advancing AI through education & practice.
I am an Assistant Professor of Instruction in Artificial Intelligence in the Department of Organization, Workforce, and Leadership Studies (OWLS) at Texas State University. My scholarship sits at the crossroads of AI education, computer science instruction, and organizational workforce development.
PI: Dr. Shetay Ashford-Hanserd · Co-PI: Aimee Roundtree, Rebecca Campbell-Montalvo
Through ACCEYSS, I led large-scale, multi-state initiatives including summer enrichment programs to advance STEM+C access for middle and high school students, coordinating multi-institutional collaboration to build sustainable pathways across multiple states.
My research and instructional design experience spans K-12 CS education, corporate SAP ERP training (IBM, Kraft Heinz, PepsiCo, Newmont Mining), and university-level curriculum development. Prior to my current role, I held data and planning roles at the University of East London.
I hold a PhD in Science and Math Education from Southern University and A&M College, an MSc in Business Information Systems from the University of East London, and a BSc in Computer Science from Benson Idahosa University.
Courses Designed & Instruction
Original and co-developed curricula spanning AI literacy, data analytics, business strategy, and CS education across university, K-12, and corporate settings.
AI in the Workforce
Examines how AI is restructuring labor markets, redefining professional roles, and reshaping organizational structures. Students develop workforce readiness frameworks.
AI Policy & Governance
Survey of AI regulation, national and international policy frameworks, and algorithmic accountability. Students develop policy briefs.
AI in Organizational Leadership
How executives and managers strategically integrate AI into decision-making, culture, and operations while managing risk and stakeholder trust.
Quantitative Analysis in Business
Mathematical, statistical, and data analytics in business contexts using Excel and Tableau. Emphasis on case studies and real-world problem solving.
International & Sports Marketing
Data-driven marketing strategies, global market analysis, and sports industry case studies for third- and fourth-year students.
AI, Game Design & Python for Young Learners
Multi-state summer enrichment AI curricula including Python data science, Scratch, Unity, and computing pathways for middle and high school students.
Curriculum Development
Publications & Presentations
Teaching, Learning & Areas of Practice
Honors & Awards
Service & Leadership
- NSF Panel Reviewer, 2018 – Present
- Associate Program Chair — Posters, SIGCSE 2026
- Reviewer, CSTA K-12 Standards, 2025 – Present
- Reviewer, Education Sciences (MDPI), 2025 – Present
- ISTE Book Reviewer (Differentiation with AI; AI for School Leaders), 2024–2025
- Frontiers for Young Minds, Mathematics & Economics — Science Mentor, 2023
- Reviewer: NCWIT · ACM SIGCSE · ASEE · AERA · CSTA · SITE · US Dept. of Education G5
- Community Leader, ISTE
- Committee Member, CSTA Awards (Cutler-Bell Prize; CS Teachers Excellence)
- Member, SIAM & SIAM Data Science Activity Group
- Squad Leader, IBM BEAM Business Resource Group, 2022–2023
- Track Chair, ACM SIGUCCS Conference Committee, 2019
- Session Chair, ACM SIGUCCS Conference Committee, 2018
- Represented OWLS Dept. at Texas Workforce Commission Conference, 2025
Professional Memberships
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