Developing a Conversational Agent to Explore Machine Learning Concepts


  • Ayse Kok Arslan University of Oxford Alumni- (Research Group, Alumni Association, Northern California, USA)



artificial intelligence, neural nets, construction, visual editing, Machine learning


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.


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How to Cite

Arslan, A. K. . (2021). Developing a Conversational Agent to Explore Machine Learning Concepts. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 21, 26–34.



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