Dr Bryn Jeffries

GradCertEd (Higher Education), M.IT, D.Phil (Laser Physics), M.Phys
Research Associate, School of Information Technologies

J12 - The School of Information Technologies
The University of Sydney

Biographical details

Dr Bryn Jeffries is a Physicist and Computer Scientist, with experience in industry and academia. He works in the School of Information Technologies at the University of Sydney, researching database systems and teaching several database units. Bryn also provides database infrastructure and expertise to the CRC for Alertness, Safety and Productivity.

Teaching and supervision

Current research students

Project title Research student
Sleep Disorder Analysis Using Machine Learning Techniques Stephen MCCLOSKEY

Associations

  • Institute of Physics

Selected grants

2017

  • Practical Databases: Managing and Analysing Data with SQL (Open Learning Environment - Undergraduate); Roehm U, Jeffries B; DVC Education/Small Educational Innovation Grant.

2014

  • Enhancing feedback in online assessment of computer programming; Jeffries B, Koprinska I, Viglas A, Gramoli V; DVC Education/Large Educational Innovation Grant.

Selected publications

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Conferences

  • McBroom, J., Jeffries, B., Koprinska, I., Yacef, K. (2016). Exploring and following students' strategies when completing their weekly tasks. The 9th International Conference on Educational Data Mining (EDM 2016), Raleigh: International Educational Data Mining Society.
  • Gramoli, V., Charleston, M., Jeffries, B., Koprinska, I., McGrane, M., Radu, A., Viglas, A., Yacef, K. (2016). Mining autograding data in Computer Science Education. Eighteenth Australasian Computing Education Conference (ACE 2016), New York: Association for Computing Machinery (ACM). [More Information]
  • McBroom, J., Jeffries, B., Koprinska, I., Yacef, K. (2016). Mining behaviors of students in autograding submission system logs. The 9th International Conference on Educational Data Mining (EDM 2016), Raleigh: International Educational Data Mining Society.

2016

  • McBroom, J., Jeffries, B., Koprinska, I., Yacef, K. (2016). Exploring and following students' strategies when completing their weekly tasks. The 9th International Conference on Educational Data Mining (EDM 2016), Raleigh: International Educational Data Mining Society.
  • Gramoli, V., Charleston, M., Jeffries, B., Koprinska, I., McGrane, M., Radu, A., Viglas, A., Yacef, K. (2016). Mining autograding data in Computer Science Education. Eighteenth Australasian Computing Education Conference (ACE 2016), New York: Association for Computing Machinery (ACM). [More Information]
  • McBroom, J., Jeffries, B., Koprinska, I., Yacef, K. (2016). Mining behaviors of students in autograding submission system logs. The 9th International Conference on Educational Data Mining (EDM 2016), Raleigh: International Educational Data Mining Society.

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