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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hetzner, S., Steiner, C.M., Dimitrova, V., Brna, P., Conlan, O.: Adult self-regulated learning through linking experience in simulated and real world: a holistic approach. In: Kloos, C.D., Gillet, D., Crespo GarcÃa, R.M., Wild, F., Wolpers, M. (eds.) EC-TEL 2011. LNCS, vol. 6964, pp. 166–180. Springer, Heidelberg (2011)
Krogstie, B.R., Prilla, M., Wessel, D., Knipfer, K., Pammer, V.: Computer support for reflective learning in the workplace: a model. In: 2012 IEEE 12th International Conference on Advanced Learning Technologies (ICALT), pp. 151–153. IEEE, Italy (2012)
Eamsinvattana, W.: Reflective Dialogue for On-the-Job Training in Emergency Services. School of Computing. University of Leeds, United Kingdom (2011)
Murphy, A., Laxton, J.: Views of a structured assessment tool for observing practice. Soc. Work Educ. 33, 190–208 (2014)
Kai, H., Hanni, M., Hannu, M.: Design principles for the knowledge-practices laboratory (KP-Lab) project. In: Proceedings of the 7th International Conference on Learning Sciences, pp. 934–935. International Society of the Learning Sciences, Bloomington (2006)
Rogers, E.: VIA-RAD: a blackboard-based system for diagnostic radiology. Artif. Intell. Med. 7, 343–360 (1995)
Azevedo, R., Lajoie, S.: The cognitive basis for the design of a mammography interpretation tutor. Int. J. Artif. Intell. Educ. 9, 32–44 (1998)
Sharples, M., Jeffery, N.P., du Boulay, B., Teather, B.A., Teather, D., du Boulay, G.H.: Structured computer-based training in the interpretation of neuroradiological images. Int. J. Med. Informatics 60, 263–280 (2000)
Yap, M.H., Gale, A.G., Scott, H.J.: Generic infrastructure for medical informatics (GIMI): the development of a mammographic training system. In: Krupinski, E.A. (ed.) IWDM 2008. LNCS, vol. 5116, pp. 577–584. Springer, Heidelberg (2008)
Munro, P.L., Bradshaw, N., Stephenson, N.: 2012 RANZCR Radiology Workforce Census Report: Trainees. RANZCR, Sydney (2013)
Knowles, M.S.: The Modern Practice of Adult Education. New York Association Press, New York (1970)
The Royal Australian and New Zealand College of Radiologists: Radiodiagnosis Training Program Curriculum. RANZCR, Sydney (2014)
Wiegand, M., Balahur, A., Roth, B., Klakow, D., Montoyo, A.: A survey on the role of negation in sentiment analysis. In: Proceedings of the Workshop on Negation and Speculation in Natural Language Processing, pp. 60–68. Association for Computational Linguistics (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Lee, H., Weerasinghe, A., Barnes, J., Oakden-Rayner, L., Gale, W., Carneiro, G. (2016). CRISTAL: Adapting Workplace Training to the Real World Context with an Intelligent Simulator for Radiology Trainees. In: Micarelli, A., Stamper, J., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2016. Lecture Notes in Computer Science(), vol 9684. Springer, Cham. https://doi.org/10.1007/978-3-319-39583-8_52
Download citation
DOI: https://doi.org/10.1007/978-3-319-39583-8_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-39582-1
Online ISBN: 978-3-319-39583-8
eBook Packages: Computer ScienceComputer Science (R0)