SparkTales: Facilitating Cross-Language Collaborative Storytelling through Coordinator-AI Collaboration

📅 2026-03-05
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the high cognitive load experienced by facilitators in cross-lingual collaborative storytelling, which often stems from language barriers, cultural differences, and the demands of sustaining interaction, ultimately leading to insufficient child engagement. To mitigate these challenges, the authors propose SparkTales, an intelligent system that pioneers AI co-design specifically for this context. Grounded in facilitators’ needs and informed by both individual and group characteristics of children, SparkTales automatically generates story scaffolds, diverse prompting strategies, and comprehension-oriented materials. Empirical evaluation demonstrates that the system significantly reduces facilitators’ workload while enhancing their instructional efficiency and quality, concurrently fostering greater child participation. This work thus offers an innovative paradigm and empirical foundation for designing intelligent systems that support cross-lingual collaborative learning environments.

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📝 Abstract
Cross-language collaborative storytelling plays a vital role in children's language learning and cultural development, fostering both expressive ability and intercultural awareness. Yet, in practice, children's participation is often shallow, and facilitating such sessions places heavy cognitive and organizational burdens on coordinators, who must coordinate language support, maintain children's engagement, and navigate cultural differences. To address these challenges, we conducted a formative study with coordinators to identify their needs and pain points, which guided the design of SparkTales, an intelligent support system for cross-language collaborative storytelling. SparkTales leverages both individual and common characteristics of participating children to provide coordinators with story frameworks, diverse questions, and comprehension-oriented materials, aiming to reduce coordinators'workload while enhancing children's interactive engagement. Evaluation results show that SparkTales not only significantly increases coordinators'efficiency and quality of guidance but also improves children's participation, providing valuable insights for the design of future intelligent systems supporting cross-language collaboration.
Problem

Research questions and friction points this paper is trying to address.

cross-language collaborative storytelling
children's participation
coordinator burden
language learning
cultural differences
Innovation

Methods, ideas, or system contributions that make the work stand out.

cross-language collaboration
AI-coordinator collaboration
collaborative storytelling
intelligent support system
child language learning
W
Wenxin Zhao
Fudan University
P
Peng Zhang
Fudan University
H
Hansu Gu
Independent
H
Haoxuan Zhou
Fudan University
X
Xiaojie Huo
Jiedou Edtech, Inc
L
Lin Wang
Fudan University
Wen Zheng
Wen Zheng
PhD of Computer Science, Stanford University
Computer GraphicsComputational Physics
T
Tun Lu
Fudan University
Ning Gu
Ning Gu
Fudan University
Collaborative ComputingCSCWSocial ComputingHuman Computer InteractionRecommendation