Mining behaviors of students in autograding submission system logs. - Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM, 2016)

Exploring and Following Students' Strategies When Completing Their Weekly Tasks. - Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM, 2016)

A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. - Jessica McBroom; Kalina Yacef; Irena Koprinska; James R. Curran (AIED (1), 2018)

Understanding Gender Differences to Improve Equity in Computer Programming Education. - Jessica McBroom; Irena Koprinska; Kalina Yacef (ACE, 2020)

DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. - Jessica McBroom; Kalina Yacef; Irena Koprinska (AIED (1), 2020)

How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences. - Jessica McBroom; Irena Koprinska; Kalina Yacef (EDM, 2020)

Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. - Jessica McBroom; Kalina Yacef; Irena Koprinska (EDM, 2020)

Progress Networks as a Tool for Analysing Student Programming Difficulties. - Jessica McBroom; Benjamin Paassen; Bryn Jeffries; Irena Koprinska; Kalina Yacef (ACE, 2021)

ast2vec: Utilizing Recursive Neural Encodings of Python Programs. - Benjamin Paaßen; Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM, 2021)

Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). - Benjamin Paaßen; Jessica McBroom; Bryn Jeffries; Irena Koprinska; Kalina Yacef (EDM (Workshops), 2021)

A Survey of Automated Programming Hint Generation: The HINTS Framework. - Jessica McBroom; Irena Koprinska; Kalina Yacef (ACM Comput. Surv., 2022)