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Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Memorial University of Newfoundland

$217,690.00

Formal verification and optimization of adaptive training systems for marine simulators

FY 2021-22 · 2021-09-01

Summary
This Project aims to develop computer simulations to explore and determine optimized tutoring strategies to foster improved learning of ice management operations. The main objective is to develop a set of tools to verify and optimize the design of adaptive instructional systems (AIS). These AIS play the role of an expert instructor, but are automated so that trainees are guided by the simulator through optimal and bespoke learning pathways. The anticipated benefits of the Project are: 1) an increase in knowledge of the cognitive demands and skill acquisition related to ice management in the context of freight transportation; 2) a cost reduction of training scenario development by testing alternative learning scenarios and instructional designs prior to empirical validation with human participants; 3) an increase in training efficiency using optimized scenarios and adaptive instructions.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
St. John's|St. John's, Newfoundland and Labrador, Canada
Recipient Type
Academia
Business Number
107690273
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

As published

Agreement End Date
2023-08-31
Agreement Number
979737
Agreement Start Date
2021-09-01
Agreement Title
Formal verification and optimization of adaptive training systems for marine simulators
Agreement Title (French)
Vérification formelle et optimisation des systèmes didactiques adaptatifs pour les simulateurs de gestion des glaces et de bateaux de sauvetage
Agreement Type
Grant
Agreement Value
$217,690.00
Amendment Number
0
Description
This Project aims to develop computer simulations to explore and determine optimized tutoring strategies to foster improved learning of ice management operations. The main objective is to develop a set of tools to verify and optimize the design of adaptive instructional systems (AIS). These AIS play the role of an expert instructor, but are automated so that trainees are guided by the simulator through optimal and bespoke learning pathways. The anticipated benefits of the Project are: 1) an increase in knowledge of the cognitive demands and skill acquisition related to ice management in the context of freight transportation; 2) a cost reduction of training scenario development by testing alternative learning scenarios and instructional designs prior to empirical validation with human participants; 3) an increase in training efficiency using optimized scenarios and adaptive instructions.
Description (French)
Ce projet vise à développer des simulations informatiques pour explorer et déterminer des stratégies de tutorat optimisées afin de favoriser un meilleur apprentissage des opérations de gestion des glaces. L’objectif principal est de développer un ensemble d’outils pour vérifier et optimiser la conception de systèmes didactiques adaptatifs (SDA). Ces SDA jouent le rôle d’un instructeur expert, mais sont automatisés de sorte que les stagiaires sont guidés par le simulateur à travers des parcours d’apprentissage optimaux et sur mesure. Les avantages attendus du projet sont les suivants : 1) augmentation des connaissances sur les exigences cognitives et l’acquisition de compétences liées à la gestion des glaces dans le contexte du transport de marchandises; 2) réduction des coûts de développement de scénarios de formation en testant des scénarios d’apprentissage et des conceptions pédagogiques alternatifs avant la validation empirique avec des participants humains; 3) augmentation de l’efficacité de la formation en utilisant des scénarios optimisés et des instructions adaptatives.
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
St. John's East
Federal Riding (French)
St. John's-Est
Federal Riding Number
10006
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
107690273
Recipient City
St. John's|St. John's
Recipient Country
CA
Recipient Legal Name
Memorial University of Newfoundland
Recipient Postal Code
A1C 5S7
Recipient Province or Territory
NL
Recipient Type
S
Reference Number
172-2021-2022-Q2-979737