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Maritime students’ use and perspectives of cloud-based desktop simulators: CSCL and implications for educational design

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EN
Abstrakty
EN
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.
Twórcy
  • University of South-Eastern Norway, Borre, Norway
autor
  • University of South-Eastern Norway, Borre, Norway
autor
  • University of Gothenburg, Gothenburg, Sweden
Bibliografia
  • [1] 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.
  • [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.
  • [3] A. Crabtree, M. Rouncefield, and P. Tolmie, Doing Design Ethnography, 2012th ed. London, England: Springer, 2012, doi: 10.1007/978‐1‐4471‐2726‐0.
  • [4] 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.
  • [5] 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.
  • [6] G. Stahl, T. Koschmann, and D. Suthers, “Computersupported Collaborative Learning: An Historical Perspective,” in Cambridge Handbook of the Learning Sciences, 2006, p. 409.
  • [7] S. Ludvigsen and R. Steier, ‘Reflections and looking ahead for CSCL: digital infrastructures, digital tools, andcollaborative learning’, Int. J. Comput. Support. Collab. Learn., vol. 14, no. 4, pp. 415–423, Dec. 2019, doi: 10.1007/s11412‐019‐09312‐3.
  • [8] S. Ludvigsen, A. Lund, and I. Rasmussen, “Introduction: Learning across sites; new tools, infrastructures and practices,” in Learning Across Sites, Routledge, 2010.
  • [9] 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.
  • [10] 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.
  • [11] 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.
  • [12] G. Stahl, “Contributions to a theoretical framework for CSCL,” in Computer Support for Collaborative Learning, Routledge, 2023, pp. 62–71.
  • [13] 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.
  • [14] 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.
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  • [17] 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.
  • [18] 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.
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a109c35d-d636-480e-9868-af04ca217a61
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