Prof. Neil Gordon

School of Digital and Physical Sciences

University of Hull, UK

Professor

Email: [email protected]

Qualifications

2001 Post Graduate Higher Education Teaching Certificate (PGCHE), University of Hull, UK

1994 Ph.D., Applied Mathematics (Finite Geometry and Computer Algebra, with Applications)

1990 B.Sc. (Hons), Joint Mathematics and Computer Science, First Class

Departmental Prize in Computer Science and Slater Prize in Applied Mathematics

Research Interests

Computer Science Education & Pedagogy

Technology-Enhanced Learning & Assessment

Programming Education & Agile Development

Personalised Learning & Learning Analytics

Inquiry-Based Learning & Mathematics Support

Publications (Selected)

1. Pelumi, I., & Gordon, N. (2025). SmartRead: A Multimodal eReading Platform Integrating Computing and Gamification to Enhance Student Engagement and Knowledge Retention. Multimodal Technologies and Interaction, 9(10), 101.
2. Gordon, N., Dixon, J., & Mian, Z. (2025). A step change in education: Generative AI, Ethics and Transformation for Higher Education. In Leading Global Excellence in Pedagogy: Transforming Teaching Excellence: Future Proofing Education for All. International Federation of National Teaching Fellows.
3. Morenigbade, H., Al Jaber, T., Gordon, N., and Eke, G. (2025). Evaluating and implementing machine learning models for personalised mobile health app recommendations. PLoS ONE, 20(3), e0319828.
4. Yusuf, A., Al Jaber, T., and Gordon, N. (2025). Comprehensive Health Tracking Through Machine Learning and Wearable Technology. Journal of Data Science and Intelligent Systems.
5. Gordon, N. (2025). Scaling up and automating formative assessment in computer science. In Formative Assessment and Feedback in Post-Digital Learning Environments (pp. 172–178). Routledge.
6. Grey, S. J., & Gordon, N. A. (2024). Teaching and Assessing at scale: the use of objective rubrics and structured feedback. New Directions in the Teaching of Natural Sciences, (19).
7. Ellis, H. J., Hislop, G. W., Goldweber, M., Rebelsky, S., Pearce, J., Ordonez, P., Pias, M., and Gordon, N. (2024). Computing for Social Good in Education. ACM Inroads, 15(4), 47–57.
8. Omughelli, D., Gordon, N., and Al Jaber, T. (2024). Fairness, Bias, and Ethics in AI: Exploring the Factors Affecting Student Performance. Journal of Intelligent Communication, 4(1), 100–110.
9. Hing, W., Gordon, N., and Al Jaber, T. (2024). Artificial Intelligence in Education: An Automatic Rule-Based Chatbot to Generate Guidance from Lecture Recordings. Acta Scientific Computer Sciences, 6(7).
10. Busari, A., Jaber, T., Gordon, N., and Mian, Z. (2024). Assessing the Impact of Usability from Evaluating Mobile Health Applications. International Journal on Engineering Technologies and Informatics, 5(2).
11. Kayode, O. J., Jaber, T. A., and Gordon, N. (2024). Application of Artificial Intelligence and Data Science in Detecting the Impact of Usability from Evaluation of Mobile Health Applications. International Journal on Engineering Technologies and Informatics, 5(1), 1–9.
12. Mohamad Mohsin, M. F., Umana, M. K., Hassan, M. G., Sharif, K. I. M., Ismail, M. A., Salleh, K., Zahari, S. M., Sarmani, M. A., and Gordon, N. (2023). Improving Rice Yield Prediction Accuracy Using Regression Models with Climate Data. In International Conference on Computing and Informatics (pp. 258–267). Springer Nature Singapore.

Profile Details

WoS Researcher ID: E-6398-2011

Scopus Author ID: 56182357300

ORCID URL: https://orcid.org/0000-0001-6889-0781

ResearchGate Profile: https://www.researchgate.net/profile/Neil_Gordon4

Google Scholar Profile: https://scholar.google.co.uk/citations?user=02yArpcAAAAJ&hl=en