A PROPOSED WORKFLOW TO FOSTERING ACADEMIC TEACHING PRACTICES USING GENERATIVE AI CHATBOTS: MARINE ELECTRIFICATION AS A GUIDE COURSE EXAMPLE

Hamdy Ahmed Ashour

Abstract


This paper proposes a systematic workflow for integrating generative AI Chatbots into academic teaching practices. The "Marine " course has been employed as an example guide to verify the generic framework and then explore this integration's potential benefits and challenges. The proposed workflow is divided into four sub-frames; Before-Teaching, During-Teaching, After-Teaching and finally Keep-Connecting. For each frame, guided prompt examples are demonstrated; facilitating the effectiveness of this approach not only in the context of the given course but also can be tailored for any other academic courses. A list of suggested guidelines for educators to leverage the proposed approach is also introduced. This work aims to contribute to the recent development of best practices to utilize generative AI to provide insights into effective pedagogical approaches to enhance academic staff teaching experiences. 

Keywords


Academic Teaching, AI-Powered Chatbots, Marine Electrification, Framework

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References


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DOI: https://dx.doi.org/10.21622/MARLOG.2025.14.1.45

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The International Maritime Transport and Logistics Journal (MARLOG)

E-ISSN: 2974-3141
P-ISSN: 2974-3133

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