ERIC Number: EJ1449017
Record Type: Journal
Publication Date: 2024-Oct
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1360-2357
EISSN: EISSN-1573-7608
Influence of School Characteristics on Computational Thinking: A Supervised Machine Learning Approach
Education and Information Technologies, v29 n15 p20077-20101 2024
This study explores the influence of schools' general characteristics, and their information and communication technology (ICT) capabilities on students' computational thinking. The computational thinking achievements of 31,823 students who participated in a large-scale comparative study in 1412 schools and across nine countries/regions were analyzed using supervised machine learning. Five classification rules were triangulated to determine how 22 schools' general characteristics and their ICT capabilities predicted students' computational thinking achievements. Data analysis showed no predictive relationship between schools' ICT capabilities and computational thinking. However, some classification rules predicted higher computational thinking achievement for students from affluent schools. The discussion amplifies the need for proper incorporation of ICT in schools with recommendations for more research on the nuanced relationship between schools' characteristics and computational thinking development.
Descriptors: Institutional Characteristics, Information Technology, Communications, Mental Computation, Advantaged, Correlation, School Effectiveness
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://bibliotheek.ehb.be:2123/
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A