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A Development Framework for a Conversational Agent to Explore Machine Learning Concepts

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Author :  Ayse Kok Arslan

Affiliation :  Oxford Alumni of Northern California

Country :  USA

Category :  Machine Learning

Volume, Issue, Month, Year :  8, 3, September, 2021

Abstract :


This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.

Keyword :  Machine learning, visual editing, construction, neural nets, artificial intelligence.

Journal/ Proceedings Name :  Machine Learning and Applications: An International Journal (MLAIJ)

URL :  https://aircconline.com/mlaij/V8N3/8321mlaij01.pdf

User Name : MLAIJ
Posted 15-07-2026 on 18:57:19 AEDT



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