School of Education

Education

• Ph.D. in Education: Curriculum, Culture and Change/ Instructional Technology, Virginia Commonwealth University  
• M.Ed. in Curriculum and Instruction: Instructional Technology, Virginia Commonwealth University
• B.A. in Linguistics, Moulay Ismail University, Morocco
  
  

Research interests

Examining the use and application of emerging technologies such as makerspaces, virtual reality, and artificial intelligence (AI) in teacher education, and their potential to support personalized learning and data-driven instructional decision-making. This includes applying techniques such as machine learning, text mining, and data analytics to analyze how emerging technologies intersect with contextual factors, and how these interactions impact student learning and teacher development, with the goal of designing data-informed educational practices.

Career highlights

Virginia Commonwealth University Community-Engaged Data Dissemination Grant, 2025. Research Meets Community: Disseminating STEAM Findings Through Family-Centered Engagement. Amount: $5,000; Role: Key Personnel.

Robins Foundation Grant, 2024. Engaging Parents in After-School STEAM Projects (Science and Technology). Amount: $50,000; Role: Co-Principal Investigator.

Virginia Commonwealth University Accelerate Fund Award, 2022. Engaging Parents in After-School STEM Projects (Science and Technology). Amount: $99,680; Role: Principal Investigator.

Mexico-U.S. Innovation Fund Grant (100,000 Strong in the Americas Innovation Fund), 2021. Building a Collaborative, Innovative, and Impactful STEM and Language Training Exchange Program through Virtual and Study Abroad Partnerships. Amount: $24,952.56; Role: Principal Investigator.

U.S.-Colombia Grant Competition for 21st Century Higher Education Partnerships (100,000 Strong in the Americas Innovation Fund), 2021. Preparing Early Childhood Teacher Candidates in Inclusive STEM Learning through Innovative Virtual and Study Abroad Partnerships. Amount: $26,160.97; Role: Co-Principal Investigator.

Recent publications/projects

Greene, M. D., & Xu, Y. (2025). Using a design thinking framework to promote practical AI in K–12 STEM education. In M. Strawderman, J. Senechal, E. Ekholm, J. Vest, M. D. Greene, Y. Xu, et al. (Eds.), AI in education: Teaching, learning, and thinking with machines (pp. 21–28). Scholars Compass. https://doi.org/10.21974/x4xj-za15

Strawderman, M., Senechal, J., Ekholm, E., Vest, J., Greene, M. D., Xu, Y., et al. (Eds.). (2025). AI in education: Teaching, learning, and thinking with machines. Scholars Compass. https://doi.org/10.21974/x4xj-za15

Greene, M., & Jones, M. (2025). Teaching with technology: A quantitative analysis of the impact of contextual factors. The Computer Assisted Language Instruction Consortium (CALICO) Journal, 42(2), 215–235.

Schad, M., Greene, M., & Jones, M. (2025). Maker-centered learning in STEM: A case study of a chemistry teacher's lived experience. International Journal of Instruction, 18(2), 85–102.

Greene, M. D., Xu, Y., & Blondin, J. E. (2024). Designing and implementing a globally focused interdisciplinary STEM program: A model for preservice teacher preparation programs. In A. Slapac & C. A. Huertas-Abril (Eds.), Encouraging transnational learning through virtual exchange in global teacher education (pp. 172–194). IGI Global.

National and international refereed presentations

Greene, M. D., Broda, M., Chen, C.C., Chang, C.-N., Wang, T. W., Joy, J., & Xia, Y. (2025, April). Zero-shot learning and support vector machine methods for automated abstract screening in scoping reviews. Conference presentation at the American Educational Research Association (AERA) Annual Conference, Denver, CO.

Broda, M., Joy, J., Greene, M. D., Wang, T.-W., Liu, X., Chen, C.-C., & Xia, Y. (2025, April). A scoping review of machine learning applications in education research. Poster presentation at the American Educational Research Association (AERA) Annual Conference, Denver, CO.

Jones, W., LeVault, R., Hanson, K., Liu, X., & Greene, M. D. (2025, April). Teaching computer programming through digital music composition: Effects on college students’ dispositions toward computer science. Conference presentation at the American Educational Research Association (AERA) Annual Conference, Denver, CO.

Chang, C.-N., Chen, C.-C., Corning, A., Saw, G., Liu, X., Wang, T.-W., & Greene, M. D. (2025, April). Science identity pathways and STEM career aspirations: Intersectional analysis from high school to postsecondary education. Roundtable presentation at the American Educational Research Association (AERA) Annual Conference, Denver, CO.

Dabney, K., Xu, Y., Greene, M., & Dayton, M. (2025, March). Informal STEAM family experiences with preschool-aged learners. Virtual presentation at the Society for Information Technology & Teacher Education International (SITE) Conference, Orlando, FL.

Bio

Dr. Moe Debbagh Greene earned his Ph.D. in Education with a focus on Curriculum, Culture and Change/Instructional Technology and his M.Ed. in Curriculum and Instruction with a concentration in Instructional Technology from Virginia Commonwealth University. He also completed advanced studies abroad, focusing on languages, cultures, and communication. Dr. Greene is a Fulbright recipient with a strong record of leadership in instructional technology, program management, accreditation, assessment, and curriculum development. He currently serves as the Director of VCU’s English Language Program. His research focuses on instructional technology, particularly the use and application of emerging technologies such as makerspaces, virtual reality, and artificial intelligence (AI) in teacher education. His work investigates how technology can support personalized learning and data-driven instructional decision-making, and how technological tools can be integrated in evidence-based and measurable ways to enhance student learning and teacher professional development.

Curriculum Vitae