Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/108039
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Type: Conference paper
Title: CRISTAL: adapting workplace training to the real world context with an intelligent simulator for radiology trainees
Author: Lee, H.
Weerasinghe, A.
Barnes, J.
Oakden-Rayner, L.
Gale, W.
Carneiro, G.
Citation: Proceedings of the 13th International Conference on Intelligent Tutoring Systems, 2016 / Micarelli, A., Stamper, J., Panourgia, K. (ed./s), vol.9684, pp.430-435
Publisher: Springer
Issue Date: 2016
Series/Report no.: Lecture Notes in Computer Science
ISBN: 9783319395821
ISSN: 0302-9743
1611-3349
Conference Name: 13th International Conference on Intelligent Tutoring Systems (ITS) (07 Jun 2016 - 10 Jun 2016 : Zagreb, Croaria)
Statement of
Responsibility: 
Hope Lee, Amali Weerasinghe, Jayden Barnes, Luke Oakden-Rayner, William Gale, and Gustavo Carneiro
Abstract: Intelligent learning environments based on interactions within the digital world are increasingly popular as they provide mechanisms for interactive and adaptive learning, but learners find it difficult to transfer this to real world tasks. We present the initial development stages of CRISTAL, an intelligent simulator targeted at trainee radiologists which enhances the learning experience by enabling the virtual environment to adapt according to their real world experiences. Our system design has been influenced by feedback from trainees, and allows them to practice their reporting skills by writing freeform reports in natural language. This has the potential to be expanded to other areas such as short-form journalism and legal document drafting.
Keywords: Adult learning; Self-regulated learning; Simulated environments for learning; Radiology training; Natural language processing
Rights: © Springer International Publishing Switzerland 2016
RMID: 0030051118
DOI: 10.1007/978-3-319-39583-8_52
Published version: http://dx.doi.org/10.1007/978-3-319-39583-8
Appears in Collections:Computer Science publications

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