Schoolchildren in the United States are increasingly exposed to Educational Technologies (EdTech) , many of which are or will be infused with AI. Despite this growing integration, there is limited understanding of the current perceptions and attitudes toward EdTech with AI among parents, teachers, and teens. To address this gap, we conducted a mixed-method study involving an A/B experiment through an online survey with 3,051 participants and complemented by focus group discussions with 80 participants. Providing a comprehensive snapshot of AI perception in education in 2024, our findings indicate that participants, particularly teachers, may hold more negative perceptions of our AI-powered EdTech mock-up compared to the one powered by human tutors. Based on these insights, we discuss the future of EdTech regarding the current perceptions. This research contributes to an empirical understanding of the perceptions and attitudes toward AI in K-12 education, providing valuable insights through a comprehensive national survey and in-depth focus group sessions.

As generative AI becomes increasingly integrated into children's creative lives, designing responsible and meaningful tools for Child-AI co-creation is a growing concern in HCI and education.This paper presents a scoping review of 20 studies on Child-AI co-creation, analyzing the types of creative activities involved, the age groups studied, and the roles AI systems play.Based on this synthesis, we identify six key design considerations: protecting child data privacy, minimizing bias and hallucinations, fostering appropriate reliance on AI, balancing support and creative freedom, encouraging peer and family collaboration, and making AI's creative process understandable.This work contributes an initial framework to guide the design of child-centered and developmentally appropriate AI co-creation systems, and highlights directions for future research.

media and content creation literacies becomes critical.Yet little research examines how children engage with video creation or how emerging technologies, such as generative AI, can support this creative process.This study explores children's engagement and challenges during a two-week, project-based learning workshop where they learned to create educational videos teaching school-aligned science topics.Our exploratory findings suggest that educational video creation activity, when designed properly, can serve as an intervention for the dual learning of science literacy CCS Concepts• Human-centered computing → Empirical studies in HCI; Empirical studies in collaborative and social computing; Collaborative interaction.

The viral launch of new generative AI (GAI) systems, such as ChatGPT and Text-to-Image (TTL) generators, sparked questions about how they can be effectively 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 beneficial 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.

extended-abstract Share on AI virtuous circle: preparing youth for the future of creative economy Author: Ariel Han Informatics, UC Irvine, United States Informatics, UC Irvine, United States 0000-0002-0047-0817View Profile Authors Info & Claims IDC '23: Proceedings of the 22nd Annual ACM Interaction Design and Children ConferenceJune 2023Pages 748–751https://doi.org/10.1145/3585088.3593919Published:19 June 2023Publication History 0citation20DownloadsMetricsTotal Citations0Total Downloads20Last 12 Months20Last 6 weeks20 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

The study examines the design implications of leveraging generative AI tools such as ChatGPT, Stable Diffusion, Midjourney for literacy development and creative expression for children [6, 8, 18]. We sought to elicit insights on the applicability of generative AI for educational purposes from various stakeholders (i.e., parents, teachers, and AI researchers). We recruited nine participants to elicit their perspectives on designing a visual narrative app with generative AI. We examined the opportunities and limitations of the current generative AI tools. Using the implications from our evaluation, we propose AIStory, an AI-powered visual storytelling application prototype that can be used for children’s creative expression, storytelling, and literacy development.