Ariel Han
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Ariel Han has a total of 23 co-authors. Here are the top co-authors by number of shared publications:
- Zhenyao Cai
School of Education, University of California Irvine, Irvine, California, USA
5 shared publications - Kylie Peppler
Informatics and Education, University of California - Irvine, Irvine, CA, USA
4 shared publications - Shenshen Han
Department of Informatics, University of California, Irvine
3 shared publications - Aehong Min
Department of Informatics, University of California, Irvine, Irvine, California, USA
2 shared publications - Candice L. Odgers
University of California, Irvine
2 shared publications - Ella J. Lombard
Department of Psychology, University of Washington, Seattle, Washington
2 shared publications
Latest Publications
- Open Access
- 13 October 2026
- Published by Taylor & Francis in International Journal of Human–Computer Interaction
- p. 1-36
Design Implications for Teacher-Configurable Generative AI Writing Tools: A Participatory Design Study with StoryBot
1. Writing proficiency is widely recognized as foundational to academic success yet develops slowly through sustained practice, making upper elementary years a particularly important period for sup...
- 13 October 2026
- Published by Taylor & Francis in International Journal of Human–Computer Interaction
- p. 1-36
Open AccessDesign Implications for Teacher-Configurable Generative AI Writing Tools: A Participatory Design Study with StoryBot
1. Writing proficiency is widely recognized as foundational to academic success yet develops slowly through sustained practice, making upper elementary years a particularly important period for sup...
- Open Access
- 16 June 2026
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Computer-Human Interaction
- Vol. 33 (3) , 1-40
Perceptions of AI-Driven EdTech: Nationwide Survey and Focus Group Insights from Key End Users
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.
- 16 June 2026
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Computer-Human Interaction
- Vol. 33 (3) , 1-40
Open AccessPerceptions of AI-Driven EdTech: Nationwide Survey and Focus Group Insights from Key End Users
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.
- 1 June 2026
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 2337
GAI FOR THE CLASSROOM: UNDERSTANDING TEACHER AND TEEN PERSPECTIVES ON GENERATIVE AI INTEGRATION THROUGH FOCUS GROUP INSIGHTS
- 1 June 2026
- Published by IATED Academy in EDULEARN Proceedings
- Vol. 1, 2337
GAI FOR THE CLASSROOM: UNDERSTANDING TEACHER AND TEEN PERSPECTIVES ON GENERATIVE AI INTEGRATION THROUGH FOCUS GROUP INSIGHTS
- Open Access
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 994-999
Empowering Children’s AI Literacy Through Co-Creating Stories with LLM
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 994-999
Open AccessEmpowering Children’s AI Literacy Through Co-Creating Stories with LLM
- Open Access
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 916-922
Child-AI Co-Creation: A Review of the Current Research Landscape and a Proposal for Six Design Considerations
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 916-922
Open AccessChild-AI Co-Creation: A Review of the Current Research Landscape and a Proposal for Six Design Considerations
- Open Access
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 684-698
"Hi Kids, Let's Talk About How Snakes Hunt": Understanding the Process of Children's Instructional Video Creation through a Workshop Study
- 23 June 2025
- Published by Association for Computing Machinery (ACM)
- p. 684-698
Open Access"Hi Kids, Let's Talk About How Snakes Hunt": Understanding the Process of Children's Instructional Video Creation through a Workshop Study
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
From HCI Classroom to Complex Challenges: Enhancing HCI Education through Cross-Disciplinary Teamwork and Stakeholder Engagement
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Open AccessFrom HCI Classroom to Complex Challenges: Enhancing HCI Education through Cross-Disciplinary Teamwork and Stakeholder Engagement
- Top Cited PapersOpen Access
- 11 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-17
Teachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy Education
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.
- 11 May 2024
- Published by Association for Computing Machinery (ACM)
- p. 1-17
Top Cited PapersOpen AccessTeachers, Parents, and Students' perspectives on Integrating Generative AI into Elementary Literacy Education
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.
- Top Cited PapersOpen Access
- 19 June 2023
- Published by Association for Computing Machinery (ACM)
- p. 470-474
Design implications of generative AI systems for visual storytelling for young learners
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.
- 19 June 2023
- Published by Association for Computing Machinery (ACM)
- p. 470-474
Top Cited PapersOpen AccessDesign implications of generative AI systems for visual storytelling for young learners
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.
- Open Access
- 19 June 2023
- Published by Association for Computing Machinery (ACM)
- p. 748-751
AI virtuous circle: preparing youth for the future of creative economy
- 19 June 2023
- Published by Association for Computing Machinery (ACM)
- p. 748-751
Open AccessAI virtuous circle: preparing youth for the future of creative economy