most citedBuilding Scaffolding Dialogue Data with LLM-Simulated Novices

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cs.HC2026

A Human-Centred AI System for Multi-Actor Planning and Collaboration in Family Learning

Si Chen, Jingyi Xie, Yao Li +8

Family learning takes place in everyday routines where children and caregivers read, practice, and develop new skills together. Despite growing interest in AI tutors, most existing…

cs.HC20251 cited

Building AI Literacy at Home: How Families Navigate Children's Self-Directed Learning with AI

Jingyi Xie, Chuhao Wu, Ge Wang +4

As generative AI becomes embedded in children's learning spaces, families face new challenges in guiding its use. Middle childhood (ages 7-13) is a critical stage where children se…

cs.HC2025

AI Academy: Building Generative AI Literacy in Higher Ed Instructors

Si Chen, Xiuxiu Tang, Alison Cheng +3

Generative AI is reshaping higher education, yet research has focused largely on students, while instructors remain understudied despite their central role in mediating adoption an…

cs.HC2025

Exploring Conversational Design Choices in LLMs for Pedagogical Purposes: Socratic and Narrative Approaches for Improving Instructor's Teaching Practice

Si Chen, Isabel R. Molnar, Peiyu Li +5

Large language models (LLMs) typically generate direct answers, yet they are increasingly used as learning tools. Studying instructors' usage is critical, given their role in teach…

cs.HC20252 cited

Bridging the AI Adoption Gap: Designing an Interactive Pedagogical Agent for Higher Education Instructors

Si Chen, Reid Metoyer, Khiem Le +6

Instructors play a pivotal role in integrating AI into education, yet their adoption of AI-powered tools remains inconsistent. Despite this, limited research explores how to design…