Dr Neil Gordon

Professor Neil Gordon

Professor in Computer Science

Faculty and Department

  • Faculty of Science and Engineering
  • School of Computer Science

Qualifications

  • BSc (University of Hull)
  • PhD / DPhil (University of Hull)

Summary

Neil Gordon is a professor in Computer Science. He has research interests at the interface of mathematics with computer science, particularly in the areas of finite geometry and its applications and in formal approaches.

He is also an advocate for the effective development and use of technology for teaching, especially in higher education, and has worked on a number of projects with the AdvanceHE.

He leads a research group within the School of Computer Science on the use of technology to enhance learning: https://tinyurl.com/hull-cs-ped

After a joint degree in Mathematics and Computer Science, he went on to complete a PhD in Applied Mathematics (Finite Geometry and Computer Algebra, with Applications).

This was followed by work as a Research Assistant, initially on geometry and group theory, and later on solving differential equations and their applications in mathematical physics. He worked for some time as an Educational Technology Advisor, exploring and supporting the use of computer technology in teaching mathematics.

In 2000, he began working as a lecturer in Computer Science. In that time he has been responsible for admissions, staff development, module leader on multiple modules and the programme leader for a variety of degree programmes. He was head of Computer Science from 2016 to 2018.

He was the lead tutor for the Faculty of Science Foundation Year for several years, and has been the senior lead academic on a number of KTP projects for the faculty.

More widely across campus, he is a regular chair or member of programme approval and review panels, of the Hull DARTE scheme to recognise and award AdvanceHE accredited fellowships, and has led working groups developing our approach to digital assessment, and to supporting and enhancing the work of external examiners.

Neil is chair (2022 to present) of the British Computer Societies Ethics specialist group, and is a regular speaker on the topic of ethics and professionalism, sustainability and, more recently, the ethical implications of Generative AI.

Neil is a principal fellow of the Higher Education Academy. His teaching interests include the teaching of Computer Science, flexible learning, Technology Enhanced Learning and Gamification applied to learning.

He teaches on modules across the range of levels, from level 4 (first year) through to taught Masters. Modules include:

Level 4 "Computational Thinking", and also "Professional Develpoment";

Level 6 "Commercial Game Development", "Communicating and Teaching Computing" and "Advanced Software Engineering",

and "Level 7 Component Based Architectures".

Neil also supervises undergraduate and postgraduate project students.

Recent outputs

View more outputs

Journal Article

Teaching and Assessing at Scale: The Use of Objective Rubrics and Structured Feedback Teaching and Assessing at Scale: The Use of Objective Rubrics and Structured Feedback

Grey, S., & Gordon, N. (2024). Teaching and Assessing at Scale: The Use of Objective Rubrics and Structured Feedback Teaching and Assessing at Scale: The Use of Objective Rubrics and Structured Feedback. New Directions in the Teaching of Physical Sciences, 19(1), 1-9. https://doi.org/10.29311/ndtns.vi19.4103

Computing for Social Good in Education

Ellis, H., Hislop, G. W., Goldweber, M., Rebelsky, S., Pearce, J., Ordonez, P., Pias, M., & Gordon, N. (2024). Computing for Social Good in Education. ACM Inroads, 15(4), 47-57. https://doi.org/10.1145/3699719

Artificial Intelligence in Education: An automatic Rule-Based Chatbot to generate guidance from lecture recordings

Hing, W., Gordon, N., & 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), 64-74

Assessing the Impact of Usability from Evaluating Mobile Health Applications

Busari, A., Jaber, T., Gordon, N., & Mian, Z. (2024). Assessing the Impact of Usability from Evaluating Mobile Health Applications. International Journal on Engineering Technologies and Informatics, 5(2), https://doi.org/10.51626/ijeti.2024.05.00074

Application of Artificial Intelligence and Data Science in Detecting the Impact of Usability from Evaluation of Mobile Health Applications

Kayode, O., Al Jaber, T., & 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. https://doi.org/10.51626/ijeti.2024.05.00070

Research interests

Finite geometry and applications, including error correcting codes

HCI, gamification and computer-based instruction

Computer algebra

Safety and reliability analysis

Telehealth

Technology enhanced learning and information systems

Co-investigator

Project

Funder

Grant

Started

Status

Project

Use of Foundational AI in teaching and assessment – A practical case study in software engineering education

Funder

Council of Professors and Heads of Computing (CPHC)

Grant

£4,980.00

Started

1 February 2024

Status

Complete

Postgraduate supervision

Finite Geometry and Computer Algebra

Mathematical Modelling

Computer Gamification and Instruction

Human Computer Interaction

Computing Education

Membership/Fellowship of professional body

National Teaching Fellow

2022

Principal Fellow of the HEA (PFHEA)

2015

Certified Member of the Association of Learning Technology

2014

Certified Member of the Association of Learning Technology (CMALT)

MBCS

2002

Other

PGCertHE

2001

Postgraduate Certificate in Higher Education Teaching (PGCertHE).

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