A proposed Evidential Reasoning (ER) Methodology for Quantitative Assessment of Non-Technical Skills (NTS) Amongst Merchant Navy Deck Officers in a Ship’s Bridge Simulator Environment

• Autorzy: Saeed F. , Bury A. , Bonsall S. , Riahi R.

Identyfikatory

DOI

10.12716/1001.12.03.20

• Języki publikacji: EN

Abstrakty

EN

Ship’s bridge simulators are very popular in the worldwide training and assessment of merchant navy deck officers. The examiners of simulator courses presently do not have a method to quantitatively assess the performance of a group or an individual. Some examiners use checklists and others use their gut feeling to grade competence. In this paper a novel methodology is established that uses the Evidential Reasoning algorithm to quantitatively assess the Non-Technical Skills (NTS) of merchant navy officers. To begin with, interviews were conducted with experienced deck officers to develop the taxonomy and behavioural markers that would be used in the assessment process. A random selection of students studying towards their Chief Officer’s Certificate of Competency were recruited to have their NTS to be observed in a ship’s bridge simulator. The participant’s behaviour was rated against five criteria and the subsequent data was entered into the Evidential Reasoning algorithm to produce a crisp number. The results that were generated demonstrate that this approach provides a reliable method to quantitatively assess the NTS performance of merchant navy officers in a simulated bridge environment.

Słowa kluczowe

EN

Evidential Reasoning (ER); quantitative assessment; methodology for quantitative assessment; Non-Technical Skills (NTS); merchant navy deck officers; ship’s bridge simulator; evidential reasoning algorithm; simulated bridge environment

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2018
• Tom: Vol. 12, no. 3
• Strony: 597--608
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Saeed F.

• Higher Colleges of Technology, Abu Zabi, United Arab Emirates

autor

Bury A.

• Liverpool John Moores University, Liverpool, United Kingdom

autor

Bonsall S.

• Liverpool John Moores University, Liverpool, United Kingdom

autor

Riahi R.

• Liverpool John Moores University, Liverpool, United Kingdom

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).