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Xuechen Liu 0003

dblp:139/3108-3 · DBLP profile ↗
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4ranked-venue papers
1as first author
4since 2021 · last 2025
0009-0003-7847-5604ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 4 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Learning and educational technologies · 50% Human-AI interaction · 50%
Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › human-centered AI
child-AI interaction
0.812024
Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytelling · CHI 2024

Methods — techniques the papers use, named apart from their topics

user study · 1.5prompt engineering · 1.5
YearPublicationVenuePosition
2025 "Carlitos the Curious Caterpillar": Exploring Teacher-AI Co-Creation of Culturally Responsive Educational Materials for Young Learners
abstract
Peer Reviewed
Kunlei He, Xuechen Liu 0003, Andres S. Bustamante, Mark Warschauer
IDC2
2025 Children's Narrative Participation in Story Co-Creation with AI vs. Human Partners: Response Styles and Narrative Features
abstract
Peer Reviewed
Xuechen Liu 0003, Yuqing Xing, Youran Chen, Wenfei Pei, Jinshil Choi
IDC1
2024 Mathemyths: Leveraging Large Language Models to Teach Mathematical Language through Child-AI Co-Creative Storytelling
abstract
Mathematical language is a cornerstone of a child’s mathematical development, and children can effectively acquire this language through storytelling with a knowledgeable and engaging partner. In this study, we leverage the recent advances in large language models to conduct free-form, creative conversations with children. Consequently, we developed Mathemyths, a joint storytelling agent that takes turns co-creating stories with children while integrating mathematical terms into the evolving narrative. This paper details our development process, illustrating how prompt-engineering can optimize LLMs for educational contexts. Through a user study involving 35 children aged 4-8 years, our results suggest that when children interacted with Mathemyths, their learning of mathematical language was comparable to those who co-created stories with a human partner. However, we observed differences in how children engaged with co-creation partners of different natures. Overall, we believe that LLM applications, like Mathemyths, offer children a unique conversational experience pertaining to focused learning objectives.
Chao Zhang 0082, Xuechen Liu 0003, Katherine Ziska, Chi-Lin Yu
CHI2
2023 "Rosita Reads With My Family": Developing A Bilingual Conversational Agent to Support Parent-Child Shared Reading
abstract
Bilingual children have unique needs for school readiness as they navigate between two languages and cultures. A supportive home language environment, where children are frequently exposed to language through conversation and reading, can positively impact their language development and prepare them for school. However, current conversational agents and e-books designed for children do not typically take into account the cultural and linguistic needs of bilingual children and do not involve parents. This project presents the development of a bilingual conversational agent and accompanying e-book, designed to support parent-child interactions and promote language development for Latinx Spanish-English bilingual children. Results from a user study indicate that the bilingual agent effectively engages children verbally and encourages parental involvement in reading processes. The study also provides design insights for creating conversational agents for bilingual children.
Kunlei He, Valery Vigil, Santiago Ojeda-Ramirez, Xuechen Liu 0003, Julian Levine, Kelsyann Cervera, Mark Warschauer
IDC5