Abstract
Based on diagnostic performance and eye tracking data, the present study demonstrates that technology-enhanced replays of expert gaze can promote the visual learning of students in clinical visualization-based training.
Keywords
Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Gegenfurtner, A., Lehtinen, E., Säljö, R.: Expertise Differences in the Comprehension of Visualizations: A Meta-Analysis of Eye-Tracking Research in Professional Domains. Educ. Psychol. Rev. 23, 523–552 (2011)
Gegenfurtner, A., Siewiorek, A., Lehtinen, E., Säljö, R.: Assessing the Quality of Expertise Differences in the Comprehension of Medical Visualizations. Vocat. Learn. 6 (2013)
Helle, L., Nivala, M., Kronqvist, P., Gegenfurtner, A., Björk, P., Säljö, R.: Traditional Microscopy Instruction versus Process-Oriented Virtual Microscopy Instruction: A Naturalistic Experiment with Control Group. Diagn. Pathol. 6, S8 (2011)
Gegenfurtner, A., Vauras, M.: Age-related Differences in the Relation between Motivation to Learn and Transfer of Training in Adult Continuing Education. Contemp. Educ. Psychol. 37, 33–46 (2012)
Gegenfurtner, A., Festner, D., Gallenberger, W., Lehtinen, E., Gruber, H.: Predicting Autonomous and Controlled Motivation to Transfer Training. Int. J. Train. Dev. 13, 124–138 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Seppänen, M., Gegenfurtner, A. (2012). Technology-Enhanced Replays of Expert Gaze Promote Students’ Visual Learning in Medical Training. In: Ravenscroft, A., Lindstaedt, S., Kloos, C.D., Hernández-Leo, D. (eds) 21st Century Learning for 21st Century Skills. EC-TEL 2012. Lecture Notes in Computer Science, vol 7563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33263-0_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-33263-0_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33262-3
Online ISBN: 978-3-642-33263-0
eBook Packages: Computer ScienceComputer Science (R0)