Treffer: Effects of a Peer Assessment-Based Scrum Project Learning System on Computer Programming's Learning Motivation, Collaboration, Communication, Critical Thinking, and Cognitive Load

Title:
Effects of a Peer Assessment-Based Scrum Project Learning System on Computer Programming's Learning Motivation, Collaboration, Communication, Critical Thinking, and Cognitive Load
Language:
English
Authors:
Shao-Chen Chang, Charoenchai Wongwatkit (ORCID 0000-0002-7885-866X)
Source:
Education and Information Technologies. 2024 29(6):7105-7128.
Availability:
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Peer Reviewed:
Y
Page Count:
24
Publication Date:
2024
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Postsecondary Education
DOI:
10.1007/s10639-023-12084-x
ISSN:
1360-2357
1573-7608
Entry Date:
2024
Accession Number:
EJ1421052
Database:
ERIC

Weitere Informationen

As computational thinking becomes increasingly essential, the challenge of designing effective teaching approaches to foster students' abilities in this area persists, especially for higher order thinking skills. This study addresses this challenge by proposing and implementing a peer assessment-based Scrum project (PA-SP) learning approach in university computer programming learning. The approach involves dividing 98 third-year college students into an experimental group, which employs the PA-SP approach, and a control group, which uses the conventional Scrum project (C-SP) approach. The study investigates the impact of the PA-SP approach on students' programming projects, learning motivation, project collaboration, communication, critical thinking, and cognitive load. The results demonstrate that the PA-SP approach significantly enhances learning achievement and motivation while also improving collaboration, communication, and critical thinking. By providing practical insights into effective teaching strategies to promote students' computational thinking, this research has significant implications for improving programming education in universities.

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