Smarter education methodologies for met: an approach with augmented reality /

dc.campusChennai
dc.contributor.authorBalaji, Rajoo
dc.date.accessioned2025-02-26T11:35:30Z
dc.date.accessioned2025-03-31T16:57:56Z
dc.date.available2025-02-26T11:35:30Z
dc.date.issued2022-02-21
dc.description.abstractThe current Instructional Designs of Maritime Education and Training (MET) relies on models, oriented towards competency enhancement in a vocational backdrop. While outcome based models are being implemented to improve the formats, experiential learning methods have been proposed. These include simulator based training, virtual reality modules etc., which attempt to bring the physical and behavioural realism. It is deliberated that: inclusion of Augmented Reality (AR) in the formats would make training more effective.In this study, a pilot approach to investigate the effectiveness of AR has been followed. Conceptual Training Model based on AR is demonstrated to a selected target student population from Marine engineering discipline. They were put under this experience and the effects tested with formative and summative assessments. The variables for testing the hypothetical case on improvements are then formulated and probability of analysing impact of A R methodology on learner’s cognitive load and psychomotor skills will be proposed. This paper is limited to the review of literature and proposals of few AR models in the Competency formats of marine engineering training.
dc.identifier.urihttps://doi.org/10.1109/oceanschennai45887.2022.9775457
dc.identifier.urihttps://dspacenew8-imu.refread.com/handle/123456789/2443
dc.language.isoen
dc.publisherIEEE
dc.schoolSchool of Marine Engineering and Technology
dc.subjectAugmented Reality
dc.subjectEducation Methodologies
dc.subjectMaritime Training
dc.subjectMarine Engineering
dc.subjectMixed Reality
dc.titleSmarter education methodologies for met: an approach with augmented reality /
dc.typeArticle

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Plain Text
Description:

Collections