Publications

Quan Nguyen, Vivek Kumar (2025). Beyond answers: How a pedagogy-driven AI encourages students to think and learn in Computing Education. Under review in the Proceedings of the 26th International Conference on Artificial Intelligence in Education.

J. Gardner, R. Yu, Quan Nguyen, C. Brooks, R. Kizilcec (2023). Cross-institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pp. 1664-1684..

C. Brooks, V. Kovanović, Quan Nguyen (2023). Predictive Modeling of Student Success. In Handbook of Artificial Intelligence in Education, pp. 350-369. Edward Elgar Publishing..

Oleksandra Poquet, Quan Nguyen, Vitomir Kovanovic, Christopher Brooks, Shane Dawson, Alexandre Biotteau (2022). Grade-based similarity prevails in online course forums at scale. Computers & Education, Volume 178, Page 104401.

Dirk Tempelaar, Bart Rienties, Quan Nguyen (2020). Subjective data, objective data and the role of bias in predictive modelling: Lessons from a dispositional learning analytics application. PLOS ONE, Volume 15, Number 6, Page e0233977.

Quan Nguyen, Oleksandra Poquet, Christopher Brooks, Warren Li (2020). Exploring Homophily in Demographics and Academic Performance Using Spatial-Temporal Student Networks. Paper presented at the International Conference on Educational Data Mining (EDM) (13th, Online, Jul 10-13, 2020).

Quan Nguyen, Bart Rienties, John T.E. Richardson (2020). Learning Analytics to Uncover Inequality in Behavioural Engagement and Academic Attainment in a Distance Learning Setting. In Assessment & Evaluation in Higher Education, 45(4), pp. 594-606..

Quan Nguyen (2019). An example preprint / working paper.

Quan Nguyen

Equal contribution

, Robert Ford

Equal contribution

(2015). An example journal article. Journal of Source Themes, 1(1).

Quan Nguyen

Equal contribution

, Robert Ford

Equal contribution

(2013). An example conference paper. In ICW.