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Designing for Children to Build Conversational Agents and Learn About Artificial Intelligence /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Designing for Children to Build Conversational Agents and Learn About Artificial Intelligence // Xiaoyi Tian.
作者:
Tian, Xiaoyi,
面頁冊數:
1 electronic resource (138 pages)
附註:
Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
Contained By:
Dissertations Abstracts International86-04B.
標題:
Computer science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31485041
ISBN:
9798384470588
Designing for Children to Build Conversational Agents and Learn About Artificial Intelligence /
Tian, Xiaoyi,
Designing for Children to Build Conversational Agents and Learn About Artificial Intelligence /
Xiaoyi Tian. - 1 electronic resource (138 pages)
Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
As Artificial Intelligence (AI) becomes increasingly ubiquitous in society, conversational agents such as Siri, Alexa, and ChatGPT are shaping the experiences of younger generations. However, these young users often lack opportunities to learn about the inner workings of these AI technologies. One way to foster such learning is by empowering children to create AI that is personally and socially meaningful to them.To address this educational need, my dissertation investigates research questions using a novel learning tool, AMBY ("AI Made By You"), which enables children to build their own conversational agents and learn about artificial intelligence without prior programming experience. AMBY was iteratively designed with and for children aged 12-13 through contextual inquiry and usability studies and has been deployed in an AI summer camp over two years.In these summer camps, I explored learners' experiences and perceptions of using AMBY. Insights from these studies guided the development of AMBY 2.0, which introduced a new interface feature, "entity," to support abstraction and enhance the learning experience. Results from subsequent summer camps indicate that this feature aids in the better design of projects and mitigates learners' frustration.Building on the summer camp deployment, my final dissertation study transitions to a formal learning environment: middle school science classrooms. In this classroom study, 100 children used the updated AMBY 2.0 interface in a between-subject experiment. The primary goal of this experiment was to evaluate the impact of the "entity" feature on students' enjoyment and project outcomes. Additionally, I investigated how the "Conversational AI + Science" learning experience shapes learners' understanding of AI, as well as their attitudes and identities toward it, in the context of middle school science education.This dissertation advances the field of human-computer interaction and computing education research by paving the way for the design and research of child-centered AI-authoring tools that enhance AI education for children. The findings highlight potential future directions for conversational AI learning environments, particularly in fostering attitudes and enhancing learning experiences in AI among middle school learners.
English
ISBN: 9798384470588Subjects--Topical Terms:
573171
Computer science.
Subjects--Index Terms:
Artificial intelligence education
Designing for Children to Build Conversational Agents and Learn About Artificial Intelligence /
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As Artificial Intelligence (AI) becomes increasingly ubiquitous in society, conversational agents such as Siri, Alexa, and ChatGPT are shaping the experiences of younger generations. However, these young users often lack opportunities to learn about the inner workings of these AI technologies. One way to foster such learning is by empowering children to create AI that is personally and socially meaningful to them.To address this educational need, my dissertation investigates research questions using a novel learning tool, AMBY ("AI Made By You"), which enables children to build their own conversational agents and learn about artificial intelligence without prior programming experience. AMBY was iteratively designed with and for children aged 12-13 through contextual inquiry and usability studies and has been deployed in an AI summer camp over two years.In these summer camps, I explored learners' experiences and perceptions of using AMBY. Insights from these studies guided the development of AMBY 2.0, which introduced a new interface feature, "entity," to support abstraction and enhance the learning experience. Results from subsequent summer camps indicate that this feature aids in the better design of projects and mitigates learners' frustration.Building on the summer camp deployment, my final dissertation study transitions to a formal learning environment: middle school science classrooms. In this classroom study, 100 children used the updated AMBY 2.0 interface in a between-subject experiment. The primary goal of this experiment was to evaluate the impact of the "entity" feature on students' enjoyment and project outcomes. Additionally, I investigated how the "Conversational AI + Science" learning experience shapes learners' understanding of AI, as well as their attitudes and identities toward it, in the context of middle school science education.This dissertation advances the field of human-computer interaction and computing education research by paving the way for the design and research of child-centered AI-authoring tools that enhance AI education for children. The findings highlight potential future directions for conversational AI learning environments, particularly in fostering attitudes and enhancing learning experiences in AI among middle school learners.
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