Journal is indexed in following databases:
- SCOPUS
- Web of Science Core Collection - Journal Citation Reports
- EBSCOhost
- Directory of Open Access Journals
- TRID Database - Transportation Research Board
- Index Copernicus Journals Master List
- BazTech
- Google Scholar
2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Maritime Students’ Use and Perspectives of Cloud-Based Desktop Simulators: CSCL and Implications for Educational Design
1 University of South-Eastern Norway, Borre, Norway
2 University of Gothenburg, Gothenburg, Sweden
2 University of Gothenburg, Gothenburg, Sweden
ABSTRACT: This study investigates the challenges and opportunities of using cloud-based simulators for training in maritime education and training (MET). The aim is to map bachelor students’ use and perspectives to inform educational design when implementing cloud simulation into the curricula. This study uses an ethnographic design approach in the tradition of Computer Supported Collaborative Learning (CSCL) and draws on video-recorded exercises and interviews (n=22) from 1st and 3rd-class maritime bachelor’s students engaged in navigation exercises on cloud simulation. The findings suggest that individual training with cloud-based simulators in MET can enhance the repetition of skills necessary for better performance in a full-mission simulator with current technology and rather straightforward instructional designs. However, the findings also emphasise that simulator exercises need to be more engaging for students in order to provide a meaningful learning experience. Hence, simulator software needs to provide the means for students to collaborate during exercises, and feedback provided by the system needs to be carefully aligned with the student’s previous knowledge in order to provide adequate scaffolding.
KEYWORDS: Maritime Education and Training (MET), Navigational Simulator, Students Approaches to Learning, New Learning Methods, Collaborative Learning, Maritime Students, Ethnographic Study, Maritime Navigation Cloud
REFERENCES
T.-E. Kim et al., ‘The continuum of simulator-based maritime training and education’, WMU J. Marit. Aff., vol. 20, no. 2, pp. 135–150, Jun. 2021, doi: 10.1007/s13437-021-00242-2. - doi:10.1007/s13437-021-00242-2
A. Sharma, S. Nazir, A. C. Wiig, C. Sellberg, M. Imset, and S. Mallam, ‘Computer supported collaborative learning as an intervention for maritime education and training’, in Advances in Intelligent Systems and Computing, Cham: Springer International Publishing, 2019, pp. 3–12, doi: 10.1007/978-3-319-93882-0_1. - doi:10.1007/978-3-319-93882-0_1
A. Crabtree, M. Rouncefield, and P. Tolmie, Doing Design Ethnography, 2012th ed. London, England: Springer, 2012, doi: 10.1007/978-1-4471-2726-0. - doi:10.1007/978-1-4471-2726-0
C. Sellberg, ‘From briefing, through scenario, to debriefing: the maritime instructor’s work during simulator-based training’, Cogn. Technol. Work, vol. 20, no. 1, pp. 49–62, Feb. 2018, doi: 10.1007/s10111-017-0446-y. - doi:10.1007/s10111-017-0446-y
G. Stahl, ‘A decade of CSCL’, Int. J. Comput. Support. Collab. Learn., vol. 10, no. 4, pp. 337–344, Dec. 2015, doi: 10.1007/s11412-015-9222-2. - doi:10.1007/s11412-015-9222-2
G. Stahl, T. Koschmann, and D. Suthers, “Computer-supported Collaborative Learning: An Historical Perspective,” in Cambridge Handbook of the Learning Sciences, 2006, p. 409. - doi:10.1017/CBO9780511816833.025
S. Ludvigsen and R. Steier, ‘Reflections and looking ahead for CSCL: digital infrastructures, digital tools, and collaborative learning’, Int. J. Comput. Support. Collab. Learn., vol. 14, no. 4, pp. 415–423, Dec. 2019, doi: 10.1007/s11412-019-09312-3. - doi:10.1007/s11412-019-09312-3
S. Ludvigsen, A. Lund, and I. Rasmussen, “Introduction: Learning across sites; new tools, infrastructures and practices,” in Learning Across Sites, Routledge, 2010. - doi:10.4324/9780203847817
S. Ludvigsen and H. C. Arnseth, ‘Computer-supported collaborative learning’, in Technology Enhanced Learning, Cham: Springer International Publishing, 2017, pp. 47–58, doi: 10.1007/978-3-319-02600-8_5. - doi:10.1007/978-3-319-02600-8_5
R. Säljö, ‘Development, ageing and hybrid minds: Growth and decline, and ecologies of human functioning in a sociocultural perspective’, Learn. Cult. Soc. Interact., vol. 37, no. 100465, p. 100465, Dec. 2022, doi: 10.1016/j.lcsi.2020.100465. - doi:10.1016/j.lcsi.2020.100465
C. E. Hmelo-Silver and H. Jeong, ‘An overview of CSCL methods’, in International Handbook of Computer-Supported Collaborative Learning, Cham: Springer International Publishing, 2021, pp. 65–83, doi: 10.1007/978-3-030-65291-3_4. - doi:10.1007/978-3-030-65291-3_4
G. Stahl, “Contributions to a theoretical framework for CSCL,” in Computer Support for Collaborative Learning, Routledge, 2023, pp. 62–71. - doi:10.4324/9781315045467-11
Y. Kali and C. Hoadley, ‘Design-based research methods in CSCL: Calibrating our epistemologies and ontologies’, in International Handbook of Computer-Supported Collaborative Learning, Cham: Springer International Publishing, 2021, pp. 479–496, doi: 10.1007/978-3-030-65291-3_26. - doi:10.1007/978-3-030-65291-3_26
M. Hontvedt and K. I. Øvergård, ‘Simulations at work —a framework for configuring simulation fidelity with training objectives’, Comput. Support. Coop. Work, vol. 29, no. 1–2, pp. 85–113, Apr. 2020, doi: 10.1007/s10606-019-09367-8. - doi:10.1007/s10606-019-09367-8
P. Dillenbourg, “What do you mean by collaborative learning?,” in Collaborative learning: cognitive and computational approaches, Amsterdam, NL: Pergamon, Elseiver Science, 1999, pp. 1–16.
J. Roschelle and S. D. Teasley, “The construction of shared knowledge in collaborative problem solving,” presented at the Computer supported collaborative learning, Springer, 1995, pp. 69–97. - doi:10.1007/978-3-642-85098-1_5
J. Chen, M. Wang, P. A. Kirschner, and C.-C. Tsai, ‘The role of collaboration, computer use, learning environments, and supporting strategies in CSCL: A meta-analysis’, Rev. Educ. Res., vol. 88, no. 6, pp. 799–843, Dec. 2018, doi: 10.3102/0034654318791584.. - doi:10.3102/0034654318791584
M. Hontvedt and H. C. Arnseth, ‘On the bridge to learn: Analysing the social organisation of nautical instruction in a ship simulator’, Int. J. Comput. Support. Collab. Learn., vol. 8, no. 1, pp. 89–112, Mar. 2013, doi: 10.1007/s11412-013-9166-3. - doi:10.1007/s11412-013-9166-3
C. Heath, J. Hindmarsh, and P. Luff, Video in Qualitative Research. Thousand Oaks, CA: SAGE Publications, 2010, doi: 10.4135/9781526435385. - doi:10.4135/9781526435385
K. Jackson, Qualitative data analysis with NVivo, 3rd edition. Thousand Oaks, CA: SAGE Publications, 2019.
V. Braun and V. Clarke, ‘Reflecting on reflexive thematic analysis’, Qual. Res. Sport Exerc. Health, vol. 11, no. 4, pp. 589–597, Aug. 2019, doi: 10.1080/2159676X.2019.1628806. - doi:10.1080/2159676X.2019.1628806
Citation note:
Gyldensten W., Wiig A.C., Sellberg C.: Maritime Students’ Use and Perspectives of Cloud-Based Desktop Simulators: CSCL and Implications for Educational Design. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17, No. 2, doi:10.12716/1001.17.02.07, pp. 315-321, 2023
Authors in other databases:
William Gyldensten:
Astrid Camilla Wiig:
orcid.org/0000-0003-2729-7900
57217103585
orcid.org/0000-0003-2729-7900
57217103585
EktLntMAAAAJOther publications of authors:
File downloaded 347 times
