Teachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy Education
Ariel Han, Xiaofei Zhou, Zhenyao Cai, Shenshen Han, Richard Ko, Seth Corrigan, Kylie A. Peppler
摘要
The viral launch of new generative AI (GAI) systems, such as Chat-GPT and Text-to-Image (TTL) generators, sparked questions about how they can be efectively incorporated into writing education. However, it is still unclear how teachers, parents, and students perceive and suspect GAI systems in elementary school settings. We conducted a workshop with twelve families (parent-child dyads) with children ages 8-12 and interviewed sixteen teachers in order to understand each stakeholder's perspectives and opinions on GAI systems for learning and teaching writing. We found that the GAI systems could be benefcial in generating adaptable teaching materials for teachers, enhancing ideation, and providing students with personalized, timely feedback. However, there are concerns over authorship, students' agency in learning, and uncertainty concerning bias and misinformation. In this article, we discuss design strategies to mitigate these constraints by implementing an adults-oversight system, balancing AI-role allocation, and facilitating customization to enhance students' agency over writing projects.
• Human-centered computing → Empirical studies in HCI.
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