Pilot Trainees Benefit from Modelling and Adaptive Feedback
Limited training capacity has contributed to a critical shortage of licensed commercial pilots.Adaptive educational technologies and simulators could alleviate current training bottlenecks if these technologies could assess trainee performance and provide appropriate feedback.Agents can be used to assess trainee performance, but there is insufficient guidance on how to provide concurrent feedback in simulation-based learning environments.So, we designed 4 feedback conditions that provide varying degrees of elaboration and used a within-subject study ( = 20) to compare feedback approaches.Trainee performance was best when they received highly-elaborative feedback that modeled expert behaviour.Variability in participant performance and preferences indicates a need to adapt the feedback type to individual learners and provides insight into the use of concurrent feedback in simulation-based learning environments.Specifically, learners appreciated the expert model because it facilitated a sense of control which was associated with lower negative affect and lower extraneous cognitive load.
Authors
- Carrie Demmans Epp (ORCID: https://orcid.org/0000-0001-9079-4921)
- Yalmaz Ali Abdullah (ORCID: https://orcid.org/0009-0001-9175-7070)
- Matthew E. Taylor (ORCID: https://orcid.org/0000-0001-8946-0211)
- Minghao Cai (ORCID: https://orcid.org/0000-0002-3331-5979)
- Michael Guevarra
- Jingye Yan
Institutions
- University of Alberta (CA)
Publication Details
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1145/3699682.3728337
- Citations
- 1
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Canadian Institute for Advanced Research
- University of Alberta
- Mitacs
- Natural Sciences and Engineering Research Council of Canada