Academic Journal

Computational Thinking in K-12 Education. An Insight through Meta-Analysis

التفاصيل البيبلوغرافية
العنوان: Computational Thinking in K-12 Education. An Insight through Meta-Analysis
اللغة: English
المؤلفون: Merino-Armero, José Miguel (ORCID 0000-0001-8907-9779), González-Calero, José Antonio (ORCID 0000-0003-0842-8151), Cózar-Gutiérrez, Ramón (ORCID 0000-0001-8255-6376)
المصدر: Journal of Research on Technology in Education. 2022 54(3):410-437.
الاتاحة: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 28
تاريخ النشر: 2022
نوع الوثيقة: Journal Articles
Reports - Research
Education Level: Early Childhood Education
Elementary Education
Kindergarten
Primary Education
Elementary Secondary Education
Descriptors: Meta Analysis, Computer Science Education, Thinking Skills, Intervention, Kindergarten, Elementary Secondary Education, Instructional Effectiveness, Effect Size, Comparative Analysis, Programming, Teaching Methods
DOI: 10.1080/15391523.2020.1870250
تدمد: 1539-1523
1945-0818
مستخلص: The interest in computational thinking development at pre-university education stage is increasing. In this study, a meta-analysis was conducted to address two main objectives: (a) to analyze the effectiveness of empirical interventions in K-12 education for the development of Computational Thinking (CT); and (b) to identify and evaluate the variables that influences the effectiveness of the interventions. The analysis was especially focused on the intra-group effect sizes. Interventions show large effect size in the development of CT in the comparison between pre- and post-tests (g = 1.044). Among the different types of interventions, programming is the most efficient learning tool.
Abstractor: As Provided
Entry Date: 2023
رقم الانضمام: EJ1365559
قاعدة البيانات: ERIC
الوصف
تدمد:1539-1523
1945-0818
DOI:10.1080/15391523.2020.1870250