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Towards application of adaptive instructional systems in simulation-based lifeboat training using Bayesian networks

Par Conseil national de recherches du Canada

DOITrouver le DOI : https://doi.org/10.1007/978-3-031-34735-1_24
AuteurRechercher : Identifiant ORCID : https://orcid.org/0000-0002-3872-8561; Rechercher : Identifiant ORCID : https://orcid.org/0000-0001-8423-0572; Rechercher : Identifiant ORCID : https://orcid.org/0000-0002-1029-3615; Rechercher : 1Identifiant ORCID : https://orcid.org/0000-0003-0901-8293; Rechercher : 2Identifiant ORCID : https://orcid.org/0000-0002-3371-1082; Rechercher : Identifiant ORCID : https://orcid.org/0000-0001-5450-4587
Affiliation
  1. Conseil national de recherches du Canada. Technologies numériques
  2. Conseil national de recherches du Canada. Génie océanique, côtier et fluvial
FormatTexte, Chapitre de livre
ConférenceHCII 2023, July 23-28, Copenhagen, Denmark
Sujetadaptive instructional systems; Bayesian networks; learner model; simulation-based lifeboat training; marine operations
Résumé
Lifeboat coxswains need to be trained and assessed regularly on their performance in plausible emergencies. The ability to do this frequently is limited by the safety risks and logistics of practicing in harsh offshore conditions. Simulation-based lifeboat training provides a means for coxswains to practice typical offshore emergency scenarios, which are usually performed under the supervision of an instructor with occasional interventions. This research serves as a pilot study for automating the role of a human instructor and providing a customized training experience for learners by developing an adaptive instructional system (AIS) for simulation-based lifeboat training. To inform the learner model of the AIS, probabilistic models of learners’ behaviors were developed using Bayesian networks for launching, navigation, and slow-speed maneuvering tasks of a typical lifeboat training exercise. The model is able to evaluate learners’ actions and behaviors to diagnose their skill levels, strengths, and weaknesses, based on the evidence collected while the learners perform a variety of tasks during a training scenario. A case study is presented to demonstrate how the learner model can be trained with simulation-based assessment data and applied to inform a pedagogical model of an AIS to tailor instructional pace, training scenarios, and feedback to the learners’ needs. The results of this study provide an important step towards applying AISs in simulation-based lifeboat training and other maritime safety simulation-based training environments, which are expected to improve learners’ skill acquisition and speed their time to competence.
Date de publication
Maison d’éditionSpringer Nature
Dans
  • Adaptive Instructional Systems: 5th International Conference, AIS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023 (Proceedings) (9 juillet 2023) : 337–352.
Série
  • Lecture Notes in Computer Science 14044.
Langueanglais
Publications évaluées par des pairsOui
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Identificateur de l’enregistrement63c96798-d9fe-4859-af85-968105142e2c
Enregistrement créé2023-07-17
Enregistrement modifié2023-07-18
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