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Personal profile

Biography

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.

Fingerprint Dive into the research topics where Amael Arguel is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Projects 2015 2015

MQ Learning Sciences Laboratory (MQSL)

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

1/01/1531/12/15

Project: Research

Research Outputs 2005 2019

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 proceedingChapterResearchpeer-review

learning environment
emotion
teacher
learning
boredom

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 journalArticleResearchpeer-review

Open Access
File
Confusion
Emotions
Students
Boredom
Exploratory Behavior

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 journalArticleResearchpeer-review

learning environment
emotion
Students
management
learning
Learning
Nonprofessional Education
Literacy
Reading

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 contributionResearchpeer-review

Open Access
File
Computer science
intelligence
ability
Teaching
Education