Bryn Jeffries

According to our database, Bryn Jeffries authored at least 26 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Interpretable Methods for Early Prediction of Student Performance in Programming Courses.

Ziwei Wang, Irena Koprinska, Bryn Jeffries

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

Predicting Successful Programming Submissions Based on Critical Logic Blocks.

Ka Weng Pan, Bryn Jeffries, Irena Koprinska

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Sleep Apnea Prediction Using Deep Learning.

Eileen Wang, Irena Koprinska, Bryn Jeffries

IEEE J. Biomed. Health Informatics, November, 2023

Predicting Progress in a Large-Scale Online Programming Course.

Vincent Zhang, Bryn Jeffries, Irena Koprinska

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

Teaching Simple Constructive Proofs with Haskell Programs.

Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard

Proceedings of the Proceedings Tenth and Eleventh International Workshop on Trends in Functional Programming In Education, 2022

Insomnia Disorder Detection Using EEG Sleep Trajectories.

Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher Gordon, Ronald R. Grunstein

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

115 Ways Not to Say Hello, World!: Syntax Errors Observed in a Large-Scale Online CS0 Python Course.

Bryn Jeffries, Jung A. Lee, Irena Koprinska

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Programming to Learn: Logic and Computation from a Programming Perspective.

Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods.

Sophia Polito, Irena Koprinska, Bryn Jeffries

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Data Mining of Syntax Errors in a Large-Scale Online Python Course.

Jung A. Lee, Irena Koprinska, Bryn Jeffries

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Online Examinations in a Large Australian CS1 Course.

Bryn Jeffries, Timothy Baldwin, Marion Zalk

Proceedings of the ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14, 2022

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

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

ast2vec: Utilizing Recursive Neural Encodings of Python Programs.

Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Toward Empirical Analysis of Pedagogical Feedback in Computer Programming Learning Environments.

Gabriel Raubenheimer, Bryn Jeffries, Kalina Yacef

Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

Progress Networks as a Tool for Analysing Student Programming Difficulties.

Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020

SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching.

Uwe Röhm, Lexi Brent, Tim Dawborn, Bryn Jeffries

Proc. VLDB Endow., 2020

Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains.

Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Online Tutoring to Support Programming Exercises.

Bryn Jeffries, Timothy Baldwin, Marion Zalk, Ben Taylor

Proceedings of the ACE 2020, 2020

2019

Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables.

Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher B. Miller, Ronald R. Grunstein

Knowl. Based Syst., 2019

Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection.

Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow.

Stephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events.

Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks.

Rim Haidar, Irena Koprinska, Bryn Jeffries

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Exploring and Following Students' Strategies When Completing Their Weekly Tasks.

Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Mining behaviors of students in autograding submission system logs.

Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Mining autograding data in computer science education.

Vincent Gramoli, Michael A. Charleston, Bryn Jeffries, Irena Koprinska, Martin McGrane, Alex Radu, Anastasios Viglas, Kalina Yacef

Proceedings of the Australasian Computer Science Week Multiconference, 2016