Closing the Block-to-Text Gap: A Domain-Specific JavaScript Editor for Early Computational Thinking
October 15, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Andrei Enea
arXiv ID
2512.00012
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper presents a web-based JavaScript editor designed to help children aged 8-10 transition from block-based to text-based programming. The system introduces a simplified domain-specific language (DSL) focused on visual art, combining authentic JavaScript syntax with immediate, creative visual feedback. A four-week pilot study (N = 15) demonstrated significant improvements in computational thinking skills (mean CTCI gain of +10.9, p < 0.001), along with a 70% reduction in syntax errors. Participants advanced from basic drawing functions to sophisticated algorithmic designs using loops, conditionals, and animations. By integrating constructionist principles with a visual-first DSL, this research contributes a validated pedagogical framework for easing the block-to-text transition in K-12 computer science education. The system encourages creativity, self-correction, and sustained engagement, offering educators a practical, scalable tool for introducing authentic coding to young learners.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted