Integrating computational thinking into teacher education: A systematic literature review
Year: 2025
Type: review
Study design: Systematic Review
Abstract: Integrating computational thinking (CT) into teacher education is essential for preparing future teachers in the 21st century. This systematic literature review selected 43 journal articles (2014–2024) using the PRISMA standard to examine the subject area, CT model, intervention, tools, and assessments. The results show that the literature (1) focuses on STEM subjects, with most researchers using (2) the CT model, including decomposition, pattern recognition, abstraction and algorithm thinking, (3) plugged activity, (4) visual programming, and (5) questionnaires and achievement tests as assessment tools. Further potential research includes studies on non-STEM subjects, CT model testing, unplugged interventions, non-programming tools, and assessment validity and reliability. This study provides important and evidence-based insights for researchers in teacher education and development so that they can design more effective teaching strategies in integrating CT into in-service and pre-service teacher education.
Authors: Prasetyo Listiaji, Gyöngyvér Molnár
Institution: University of Szeged
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
Estimated APC paid: $3,470
Awards: G7364449954, G7411503171
OpenAlex ID: W4411603277
