Developing a Conversational Agent to Explore Machine Learning Concepts

A. Arslan
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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.
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开发一个会话代理来探索机器学习概念
本研究旨在介绍一个讨论平台和课程,旨在帮助人们了解机器如何学习。研究展示了如何通过对话来训练智能体,以及如何使用可视化来理解信息是如何表示的。本文首先在现有研究的基础上提供了人工智能素养的全面定义,并将广泛的不同主题文档集成到一套关键的人工智能素养技能中,以开发以用户为中心的人工智能。这些功能和结构上的考虑被组织成一个基于文献的概念框架。对本文的贡献可以用来在计算机科学社区内发起讨论和指导未来的人工智能学习研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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