A. Test of the platform:
At the beginning, traditional simulator training sessions will be implemented. New features, such as automatic assessment and feedback, will be integrated gradually to the simulator training sessions. This way, it will be possible to compare the learning outcomes of the different sessions, and we will be able to identify aspects that could be improve for the following sessions.
B. Learning module:
OsloMet: Decide the course and the topic for the OsloMet students in collaboration with the teacher. Design the learning module using the didactic principles (goals, contents, inner and outer framework, evaluation, participant prerequisites, etc.). Design the simulator training module and the quiz with the teacher. Implement the simulator training module o for the course. Test with students, evaluate training and exam results and develop the learning module and simulator training sessions further.
End User: Decide simulator course and pre-simulator training topic in collaboration with the simulator instructor. Design the learning module using the didactic principles (goals, contents, inner and outer framework, evaluation, participant prerequisites, etc.). Design the simulator training module and the quiz with the simulator instructor. Implement the simulator training module on the mobile platform. Test with the operators, evaluate training and exam results.
C. Time:
Fall 2016: HiOA students test1, End User case description
Spring/fall 2017: HiOA students test2, End User test0
Spring/fall 2018: HiOA students test3, End User test1
Spring 2019: HiOA students test4, End User test2
D. Group size:
HiOA students (20-120): the size of the group will depend on the corresponding course in which simulation module will be implemented; all participants will take the same mi-exam and final exam on the learning topic at the end.
End User: to be decided how many operators will be evaluated.
E. Analysis:
The simulator training records will be compared with the quiz scores. The data will be processed using Microsoft Excel and IBM SPSS Statistics.
The project has been approved by the Data Protection Official, NSD, with the number 50496.