Analytics for the Measurement of Process Dimensions of Self-Regulated Learning and Feedback Impact. - John Saint (EC-TEL (Doctoral Consortium), 2018)

Detecting Learning Strategies Through Process Mining. - John Saint; Dragan Gasevic; Abelardo Pardo (EC-TEL, 2018)

Combining analytic methods to unlock sequential and temporal patterns of self-regulated learning. - John Saint; Dragan Gasevic; Wannisa Matcha; Nora'ayu Ahmad Uzir; Abelardo Pardo (LAK, 2020)

Trace-SRL: A Framework for Analysis of Microlevel Processes of Self-Regulated Learning From Trace Data. - John Saint; Alexander Whitelock-Wainwright; Dragan Gasevic; Abelardo Pardo (IEEE Trans. Learn. Technol., 2020)

A learning analytic approach to unveiling self-regulatory processes in learning tactics. - Yizhou Fan; John Saint; Shaveen Singh; Jelena Jovanovic 001; Dragan Gasevic (LAK, 2021)

Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms. - John Saint; Yizhou Fan; Shaveen Singh; Dragan Gasevic; Abelardo Pardo (LAK, 2021)

Temporally-focused analytics of self-regulated learning: A systematic review of literature. - John Saint; Yizhou Fan; Dragan Gasevic; Abelardo Pardo (Comput. Educ. Artif. Intell., 2022)

Revealing the regulation of learning strategies of MOOC retakers: A learning analytic study. - Yizhou Fan; Jelena Jovanovic 001; John Saint; Yuhang Jiang; Qiong Wang; Dragan Gasevic (Comput. Educ., 2022)

Analytics of scaffold compliance for self-regulated learning. - John Saint; Yizhou Fan; Dragan Gasevic (LAK, 2024)