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A Conversational AI Bot for Efficient Learning: A Prototypical Design | IEEE Journals & Magazine | IEEE Xplore

A Conversational AI Bot for Efficient Learning: A Prototypical Design


A conversational artificial intelligent bot for efficient learning (COFFEE) from a prototypical design to operation

Abstract:

In an ideal world, how individuals learn should align with the methods they are taught. However, this is not always the case, and it is necessary to reconsider the approa...Show More

Abstract:

In an ideal world, how individuals learn should align with the methods they are taught. However, this is not always the case, and it is necessary to reconsider the approach to teaching in academic institutions, such as universities, to help students learn at their own pace. Innovative technology plays a vital role in achieving this objective. This study proposes using Artificial Intelligence (AI) to teach in academic institutions. Specifically, an AI-powered conversational bot called Conversational AI Bot for Efficient Learning (COFFEE) is designed, implemented, and will be used as an adaptive learning technology. COFFEE will analyze students’ learning habits and adjust the teaching style based on their strengths and weaknesses. Teaching and learning are closely linked to the disciplinary areas of education, behavior, and technology. Combining these areas into a conversational bot equipped with AI algorithms and access to big data makes it possible to disrupt traditional teaching methods. This will benefit students who require special attention, such as those with severe learning disabilities who cannot receive adequate support from instructors due to time constraints or lack of experience. COFFEE is a valuable tool that can be used in academic institutions at all levels, including primary and secondary education. It will be based on the latest advancements in AI and data science and is designed to be feasible, reliable, and customizable.
A conversational artificial intelligent bot for efficient learning (COFFEE) from a prototypical design to operation
Published in: IEEE Access ( Volume: 12)
Page(s): 154877 - 154887
Date of Publication: 09 October 2024
Electronic ISSN: 2169-3536

Funding Agency:


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