Content area
Concept mapping is a powerful educational tool that facilitates students' organization and integration of knowledge, leading to improved understanding and retention. Numerous studies have highlighted the potential of concept mapping to enhance students' achievement. However, comprehensive quantitative analyses focusing on its impact specifically in STEM education are limited. This meta-analysis synthesizes findings from 37 studies conducted between 2004 and 2023, identifying a moderate overall effect size of concept mapping on students' achievement in STEM disciplines (ES = 0.630). The analysis of six moderating variables (subject, educational level, duration of the experiment, concept map construction mode, learning equipment, and pedagogical approach) reveals that concept mapping is particularly effective in science and technology, with the greatest impact observed at the secondary education level. Interventions lasting between one week and one month yielded the most significant improvements in learning outcomes, especially when students independently constructed their concept maps. Both digital and paper-based tools demonstrated moderate and comparable effects on students' achievement. In addition, among various pedagogical approaches, contextual and inquiry-based pedagogical approaches are more effective when integrated into STEM education. This study provides recommendations for future research and practical implementation of concept mapping in educational contexts.
Details
Cognitive Processes;
Cooperative Learning;
Elementary Education;
Construction (Process);
Animals;
Educational Assessment;
Concept Mapping;
Engineering Education;
Cognitive Structures;
Cognitive Ability;
Educational Strategies;
High Achievement;
Influence of Technology;
Learning Strategies;
Learning Processes;
Meta Analysis;
Instructional Materials;
Mathematics Education;
Mathematics Instruction;
Elementary Secondary Education;
Outcomes of Education;
Educational Facilities Improvement;
Educational Researchers;
Educational Needs
Teaching methods;
Science education;
Education;
Impact analysis;
Mapping;
Engineering;
Self-efficacy;
Meta-analysis;
Learning;
Digital mapping;
Concept mapping;
Interdisciplinary aspects;
Mathematics education;
STEM education;
Cognitive load;
Technology education;
Educational objectives;
Concept learning;
Quantitative analysis
1 Zhejiang Normal University, Zhejiang Key Laboratory of Intelligent Education Technology and Application, Jinhua, China (GRID:grid.453534.0) (ISNI:0000 0001 2219 2654)