ARC Science of Learning Research Centre

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

learning Social Sciences
Education Engineering & Materials Science
teacher Social Sciences
Students Engineering & Materials Science
social capital Social Sciences
Teaching Engineering & Materials Science
learning environment Social Sciences
student Social Sciences

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Research Output 2005 2017

  • 5 Article
  • 4 Conference proceeding contribution
  • 1 Chapter
  • 1 Book/Film/Article/Exhibition review

Inside out: detecting learners' confusion to improve interactive digital learning environments

Arguel, A., Lockyer, L., Lipp, O. V., Lodge, J. M. & Kennedy, G., 1 Jul 2017, In : Journal of Educational Computing Research. 55, 4, p. 526-551 26 p.

Research output: Contribution to journalArticleResearchpeer-review

learning environment

Eye tracking and early detection of confusion in digital learning environments: proof of concept

Pachman, M., Arguel, A., Lockyer, L., Kennedy, G. & Lodge, J. M., 2016, In : Australasian journal of educational technology. 32, 6, p. 58-71 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Improving self-detection of confusion: is metacognitive monitoring a key?

Pachman, M. & Lockyer, L., 2016, 12th International Conference of the Learning Sciences, ICLS 2016: Transforming Learning, Empowering Learners, Proceedings. Looi, C-K., Polman, J., Cress, U. & Reimann, P. (eds.). Singapore: International Society of the Learning Sciences (ISLS), Vol. 2. p. 1165-1166 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review