Staff Profile

School of Science and Technology People Key Staff Staff Profile
Dr. Ezeamuzie Ndudi Okechukwu 博士
BSc NAU, MSc HKU, PhD HKU
Lecturer
School of Science and Technology

Teaching Areas & Research Interests

  • Computer Science Education
  • Educational Technology
  • Learning Science
  • Curriculum and Instructional Design
  • STEM Education

Selected Publications

Journal Articles

  • Ezeamuzie, N. O., & Ezeamuzie, M. N. (2024). Multidimensional framing of environments beyond blocks and texts in K–12 programming. Review of Educational Research. https://doi.org/10.3102/00346543231216958 (Q1; IF = 8.3).
  • Ezeamuzie, N. O. (2024). Influence of school characteristics on computational thinking: A supervised machine learning approach. Education and Information Technologies. https://doi.org/10.1007/s10639-024-12644-9 [IF = 4.8]
  • Ezeamuzie, N. O., Leung, J. S. C., Fung, D. C. L., & Ezeamuzie, M. N. (2024). Educational policy as predictor of computational thinking: A supervised machine learning approach. Journal of Computer Assisted Learning . https://doi.org/10.1111/jcal.13041 [IF.2023 = 5.1]
  • Ezeamuzie, N. O. (2023). Abstractive-based approach to computational thinking: Discover, extract, create, and assemble (DECA). Journal of Educational Computing Research. https://doi.org/10.1177/07356331221134423 (Q1; IF = 4.0)
  • Ezeamuzie, N. O. (2023). Project-first approach to programming in K–12: Tracking the development of novice programmers in technology-deprived environments. Education and Information Technologies. https://doi.org/10.1007/s10639-022-11180-8 (Q1; IF = 4.8)
  • Ting, F. S. T., Shroff, R. H., Lam, W. H., Garcia, R., Chan, C. L., Tsang, W. K., & Ezeamuzie, N. O. (2023). A meta-analysis of studies on the effects of active learning on Asian students' performance in science, technology, engineering and mathematics (STEM) subjects. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-022-00661-6 (Q2; IF = 3.4)
  • Ezeamuzie, N. O., & Leung, J. S. C. (2022). Computational thinking through an empirical lens: A systematic review of literature. Journal of Educational Computing Research, 60(2), 481–511. https://doi.org/10.1177/07356331211033158 (Q1; IF = 4.0)
  • Ezeamuzie, N. O., Leung, J. S. C., Garcia, R., & Ting, F. S. T. (2022). Discovering computational thinking in everyday problem solving: A multiple case study of route planning. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12720 (Q1; IF = 5.1)
  • Ezeamuzie, N. O., Leung, J. S. C., & Ting, F. S. T. (2022). Unleashing the potential of abstraction from cloud of computational thinking: A systematic review of literature. Journal of Educational Computing Research, 60(4), 877–905. https://doi.org/10.1177/07356331211055379 (Q1; IF = 4.0)

Further Information

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Modified Date: 27 Aug, 2024
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