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Personal profile


Dr Amael Arguel is a psychological scientist specialised in learning from new technologies.

Besides of teaching Cognitive Psychology and Statistics, his research activity focuses on the learning of procedures (e.g., first aid techniques) from multimedia presentations and the role of emotions such as confusion on learning. He is honorary research fellow of the Science of Learning Research Centre (a Special Research Initiative of the Australian Research Council), and a member of the research group on understanding confusion in digital environments.

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MQ Learning Sciences Laboratory (MQSL)

Halbert, C., Lockyer, L., Mulligan, J., Arguel, A., Pachman, M., Highfield, K., Newall, C., Chik, A. & Bower, M.


Project: Research

Research Outputs

Identifying epistemic emotions from activity analytics in interactive digital learning environments

Arguel, A., Pachman, M. & Lockyer, L., 2019, Learning analytics in the classroom: translating learning analytics research for teachers. Lodge, J. M., Horvarth, J. C. & Corrin, L. (eds.). Abingdon, Oxon ; New York, NY: Routledge, Taylor and Francis Group, p. 56-67 12 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

  • Puzzle-solving activity as an indicator of epistemic confusion

    Arguel, A., Lockyer, L., Chai, K., Pachman, M. & Lipp, O., 31 Jan 2019, In : Frontiers in Psychology. 10, JAN, p. 1-11 11 p., 163.

    Research output: Contribution to journalArticle

    Open Access
  • 1 Citation (Scopus)
    14 Downloads (Pure)

    Seeking optimal confusion: a review on epistemic emotion management in interactive digital learning environments

    Arguel, A., Lockyer, L., Kennedy, G., Lodge, J. M. & Pachman, M., 2019, In : Interactive Learning Environments. 27, 2, p. 200-210 11 p.

    Research output: Contribution to journalArticle

  • 5 Citations (Scopus)
    Open Access
  • 4 Citations (Scopus)
    1 Downloads (Pure)

    Relationship between computational thinking and a measure of intelligence as a general problem-solving ability

    Boom, K. D., Bower, M., Arguel, A., Siemon, J. & Scholkmann, A., 2018, ITiCSE 2018: proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. New York, NY: Association for Computing Machinery, p. 206-211 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    Open Access
  • 3 Citations (Scopus)
    284 Downloads (Pure)