Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Academic Achievement | 1 |
| Algorithms | 1 |
| Animation | 1 |
| Elementary School Students | 1 |
| Foreign Countries | 1 |
| Independent Study | 1 |
| Learning Motivation | 1 |
| Personal Autonomy | 1 |
| Visualization | 1 |
Source
| Journal of Computer Assisted… | 1 |
Author
| Qian Fu | 1 |
| Xinyi Zhou | 1 |
| Yafeng Zheng | 1 |
| Zhenyi Wang | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
Audience
Location
| China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Qian Fu; Xinyi Zhou; Yafeng Zheng; Zhenyi Wang – Journal of Computer Assisted Learning, 2025
Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…
Descriptors: Algorithms, Visualization, Elementary School Students, Learning Motivation

Peer reviewed
Direct link
