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ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12

Authors:

Lingyun SunAuthors Info & Claims

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

Article No.: 649, Pages 1 - 19

https://doi.org/10.1145/3613904.3642229

Published: 11 May 2024 Publication History

Abstract

As Computational Thinking (CT) continues to permeate younger age groups in K-12 education, established CT platforms such as Scratch face challenges in catering to these younger learners, particularly those in the elementary school (ages 6-12). Through formative investigation with Scratch experts, we uncover three key obstacles to children’s autonomous Scratch learning: artist’s block in project planning, bounded creativity in asset creation, and inadequate coding guidance during implementation. To address these barriers, we introduce ChatScratch, an AI-augmented system to facilitate autonomous programming learning for young children. ChatScratch employs structured interactive storyboards and visual cues to overcome artist’s block, integrates digital drawing and advanced image generation technologies to elevate creativity, and leverages Scratch-specialized Large Language Models (LLMs) for professional coding guidance. Our study shows that, compared to Scratch, ChatScratch efficiently fosters autonomous programming learning, and contributes to the creation of high-quality, personally meaningful Scratch projects for children.

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Cited By

Busuttil LVassallo DSchembri P(2025)Computational ThinkingEffective Computer Science Education in K-12 Classrooms10.4018/979-8-3693-4542-9.ch002(27-54)Online publication date: 24-Jan-2025
https://doi.org/10.4018/979-8-3693-4542-9.ch002
Xiao MRong WAmzah FKhalid N(2025)Utilising digital art for childhood education: a systematic review of evidence, challenges and prospectsEducation and Information Technologies10.1007/s10639-024-13274-xOnline publication date: 9-Jan-2025
https://doi.org/10.1007/s10639-024-13274-x

Index Terms

ChatScratch: An AI-Augmented System Toward Autonomous Visual Programming Learning for Children Aged 6-12

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems

May 2024

18961 pages

ISBN:9798400703300

DOI:10.1145/3613904

Editors:
Florian Floyd Mueller
Monash University
,
Penny Kyburz
The Australian National University
,
Julie R. Williamson
University of Glasgow
,
Corina Sas
Lancaster University
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Max L. Wilson
University of Nottingham
,
Phoebe Toups Dugas
Monash University/New Mexico State University
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Irina Shklovski
University of Copenhagen

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Cited By

Busuttil LVassallo DSchembri P(2025)Computational ThinkingEffective Computer Science Education in K-12 Classrooms10.4018/979-8-3693-4542-9.ch002(27-54)Online publication date: 24-Jan-2025
https://doi.org/10.4018/979-8-3693-4542-9.ch002
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