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cs.SE2026

Raven: Rethinking Automated Assessment for Scratch Programs via Video-Grounded Evaluation

Donglin Li, Daming Li, Hanyuan Shi +1

Block-based programming environments such as Scratch are widely used in introductory computing education, yet scalable and reliable automated assessment remains elusive. Scratch pr…

cs.SE2026

EcoScratch: Cost-Effective Multimodal Repair for Scratch Using Execution Feedback

Yuan Si, Ming Wang, Daming Li +2

Scratch is the most popular programming environment for novices, with over 1.15 billion projects created worldwide. Unlike traditional languages, correctness in Scratch is defined…

cs.SE2026

ScratchEval : A Multimodal Evaluation Framework for LLMs in Block-Based Programming

Yuan Si, Simeng Han, Daming Li +2

LLMs have achieved strong performance on text-based programming tasks, yet they remain unreliable for block-based languages such as Scratch. Scratch programs exhibit deeply nested,…

cs.SE2025

Stitch: Step-by-step LLM Guided Tutoring for Scratch

Yuan Si, Kyle Qi, Daming Li +2

Block-based environments such as Scratch are increasingly popular in programming education. While block syntax reduces surface errors, semantic bugs remain common and challenging f…

cs.SE2025

A Systematic Study of Time Limit Exceeded Errors in Online Programming Assignments

Jialu Zhang, Jialiang Gu, Wangmeiyu Zhang +5

Online programming platforms such as Codeforces and LeetCode attract millions of users seeking to learn to program or refine their skills for industry interviews. A major challenge…

cs.SE2025

ViScratch: Using Large Language Models and Gameplay Videos for Automated Feedback in Scratch

Yuan Si, Daming Li, Hanyuan Shi +1

Block-based programming environments such as Scratch are increasingly popular in programming education, in particular for young learners. While the use of blocks helps prevent synt…