Scaffolding Progress: How Structured Editors Shape Novice Errors When Transitioning from Blocks to Text

TL;DR

This study examines how structured editors influence novice learners' errors during the transition from block-based to text-based programming, revealing that structured editors significantly reduce syntax and data-type issues.

Contribution

The paper provides a detailed classification of transition issues and demonstrates the impact of structured editors on reducing specific programming errors among novices.

Findings

Structured editors reduce syntax issues by 4.6 times.

Learners using structured editors have fewer data-type issues.

Transitioning to unstructured editors increases syntax errors fourfold.

Abstract

Transitioning from block-based programming to text-based programming environments can be challenging as it requires students to learn new programming language concepts. In this paper, we identify and classify the issues encountered when transitioning from block-based to text-based programming. In particular, we investigate differences that emerge in learners when using a structured editor compared to an unstructured editor. We followed 26 high school students (ages 12-16; M=14 years) as they transitioned from Scratch to Python in three phases: (i) learning Scratch, (ii) transitioning from Scratch to Python using either a structured or unstructured editor, and (iii) evaluating Python coding skills using an unstructured editor. We identify 27 distinct types of issues and show that learners who used a structured editor during the transition phase had 4.6x less syntax issues and 1.9x less data-type issues compared to those who did not. When these learners switched to an unstructured editor for evaluation, they kept a lower rate on data-type issues but faced 4x more syntax errors.