Dr John Saint

Dr John Saint is a Senior Lecturer in Information Systems and Data Analytics, with extensive experience inside and outside of the education sector. Prior to joining Regent's University London, he spent 12 years in the IT industry, mainly in the banking sector. He has developed his portfolio of skills mainly at Regent's University London but also taught at the University of Westminster.

Qualifications

• PhD in Learning Analytics, University of Edinburgh, 2021
• MSc in Business Intelligence and Data Mining (with distinction), De Montfort University, 2015
• Post Graduate Certificate in Higher Education, University of Westminster, 2011
• BSc (Hons), Data Processing, University of Leeds, 1990

Relevant Past Employment

• 2002 – current, Lecturer in ICT, Faculty of Business and Management, Regent's University London, London
• 2004 – 2006, Lecturer in ICT, University of Westminster, London
• 1990 – 2001, Analyst Programmer at various institutions including Royal Bank of Scotland, ACI Watford, Caltex South Africa and Girobank.

• Saint, J., Fan, Y., Singh, S., Gasevic, D., Pardo, A., 2022. Temporally-focused analytics of self-regulated learning: A systematic review of literature. Computers and Education: Artificial Intelligence 3, https://doi.org/10.1016/j.caeai.2022.100060
• Saint, J., 2022. Analytics of self-regulated learning: a temporal and sequential approach (PhD Thesis). University of Edinburgh, http://dx.doi.org/10.7488/era/1877 
• Fan, Y., Jovanović, J., Saint, J., Jiang, Y., Wang, Q., Gasevic, D., 2021. Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study. Computers & Education 178,  https://doi.org/10.1016/j.compedu.2021.104404
• Saint, J., Fan, Y., Singh, S., Gasevic, D., Pardo, A., 2021. Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms, in: LAK21: 11th International Learning Analytics and Knowledge Conference, LAK21. Association for Computing Machinery, New York, NY, USA, pp. 333–343. https://doi.org/10.1145/3448139.3448171
• Fan, Y., Saint, J., Singh, S., Jovanovic, J., Gašević, D., 2021. A learning analytic approach to unveiling self-regulatory processes in learning tactics, in: LAK21: 11th International Learning Analytics and Knowledge Conference, LAK21. Association for Computing Machinery, New York, NY, USA, pp. 184–195. https://doi.org/10.1145/3448139.3448211
• Saint, J., Whitelock-Wainwright, A., Gašević, D., Pardo, A., 2020. Trace-SRL: A Framework for Analysis of Microlevel Processes of Self-Regulated Learning From Trace Data. IEEE Transactions on Learning Technologies 13, 861–877. https://doi.org/10.1109/TLT.2020.3027496
• Saint, J., Gašević, D., Matcha, W., Uzir, N.A., Pardo, A., 2020. Combining analytic methods to unlock sequential and temporal patterns of self-regulated learning, in: Proceedings of the Tenth International Conference on Learning Analytics & Knowledge, LAK ’20. Association for Computing Machinery, Frankfurt, Germany, pp. 402–411. https://doi.org/10.1145/3375462.3375487
• Saint, J., Gašević, D., Pardo, A., 2018. Detecting Learning Strategies Through Process Mining, in: Pammer-Schindler, V., Pérez-Sanagustín, M., Drachsler, H., Elferink, R., Scheffel, M. (Eds.), Lifelong Technology-Enhanced Learning, Lecture Notes in Computer Science. Springer International Publishing, Cham, pp. 385–398. https://doi.org/10.1007/978-3-319-98572-5_29
• Saint, J., Gutierrez, A., 2017. Adoption of Learning Analytics in the UK: Identification of Key Factors Using the TOE Framework, in: Proceedings of the 2017 AIS SIGED International Conference on Information Systems Education and Research. pp. 1–10.

John has experience of dissertation and consultancy project supervision at undergraduate and postgraduate level.

Research Interests

As well as Big Data Analytics in Business and Marketing, his PhD studies focused on Learning Analytics in Higher Education. This discipline seeks to utilise various educational data sources and mine useful insights into learner behaviour, with a view to improving the digital experience for students.

• Fellow of the Higher Education Academy
• Member of the British Computer Society (BCS)
• Member of the Society for Learning Analytics Research

John is an experienced course developer at undergraduate and postgraduate level. For the BA International Business and the MSc in Digital Marketing and Analytics, he has created successful modules in Web Design, Database Design, IT Skills, Big Data Analytics, Business Intelligence, and Statistical Methods.