| 2021 | ACE | Progress Networks as a Tool for Analysing Student Programming Difficulties. | Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | ast2vec: Utilizing Recursive Neural Encodings of Python Programs. | Benjamin Paaen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2021 | EDM | Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). | Benjamin Paaen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2020 | ACE | Understanding Gender Differences to Improve Equity in Computer Programming Education. | Jessica McBroom, Irena Koprinska, Kalina Yacef |
| 2020 | AIED | DETECT: A Hierarchical Clustering Algorithm for Behavioural Trends in Temporal Educational Data. | Jessica McBroom, Kalina Yacef, Irena Koprinska |
| 2020 | EDM | How Does Student Behaviour Change Approaching Dropout? A Study of Gender and School Year Differences. | Jessica McBroom, Irena Koprinska, Kalina Yacef |
| 2020 | EDM | Scalability in Online Computer Programming Education: Automated Techniques for Feedback, Evaluation and Equity. | Jessica McBroom, Kalina Yacef, Irena Koprinska |
| 2018 | AIED | A Data-Driven Method for Helping Teachers Improve Feedback in Computer Programming Automated Tutors. | Jessica McBroom, Kalina Yacef, Irena Koprinska, James R. Curran |
| 2016 | EDM | Mining behaviors of students in autograding submission system logs. | Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2016 | EDM | Exploring and Following Students' Strategies When Completing Their Weekly Tasks. | Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |