most citedDo Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives

3 citations · 6 across the 8 of their papers we have counts for

collaborators

9 papers

cs.HC2026

Exploring K-12 Teachers' Perceptions of Students' Relationships with AI Companions: Boundaries, Intervention Strategies, and Design Implications

Qing Xiao, Wenhan Xie, Ziyu Deng +7

K-12 students increasingly form relationships with AI companions. Schools face growing expectations to teach AI literacy, yet existing frameworks treat AI as a tool rather than a r…

cs.HC2026

Transforming GenAI Policy to Prompting Instruction: An RCT of Scalable Prompting Interventions in a CS1 Course

Ruiwei Xiao, Runlong Ye, Xinying Hou +4

Despite universal GenAI adoption, students cannot distinguish task performance from actual learning and lack skills to leverage AI for learning, leading to worse exam performance w…

cs.HC2025

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning

Xinying Hou, Ruiwei Xiao, Runlong Ye +2

The broad adoption of Generative AI (GenAI) is impacting Computer Science education, and recent studies found its benefits and potential concerns when students use it for programmi…

cs.HC2025

Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices

Ruiwei Xiao, Qing Xiao, Xinying Hou +4

Generative AI (GenAI) is rapidly entering K-12 classrooms, offering teachers new ways for teaching practices. Yet GenAI models are often trained on culturally uneven datasets, embe…

cs.HC2025★ 3 cited

Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives

Ruiwei Xiao, Qing Xiao, Xinying Hou +4

Generative artificial intelligence (GenAI) is rapidly entering K-12 classrooms worldwide, initiating urgent debates about its potential to either reduce or exacerbate educational i…

cs.CY2025★ 1 cited

Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design

Jiayi Wang, Ruiwei Xiao, Xinying Hou +1

K-12 educators are increasingly using Large Language Models (LLMs) to create instructional materials. These systems excel at producing fluent, coherent content, but often lack supp…

cs.HC2025

Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module

Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng +4

As Artificial Intelligence (AI) becomes increasingly integrated into daily life, there is a growing need to equip the next generation with the ability to apply, interact with, eval…

cs.HC2025★ 1 cited

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education

Ruiwei Xiao, Xinying Hou, Runlong Ye +4

With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight…

cs.CY2025★ 1 cited

LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example

Jiayi Wang, Ruiwei Xiao, Xinying Hou +4

Culturally Relevant Pedagogy (CRP) is vital in K-12 education, yet teachers struggle to implement CRP into practice due to time, training, and resource gaps. This study explores ho…