Abstract thought in STEM education: an integrative literature review

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Publicado en:International Journal of STEM Education vol. 12, no. 1 (Dec 2025), p. 54
Autor principal: Vermehren, J. A. Vega
Otros Autores: Trikoili, A., Pittich, D.
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Springer Nature B.V.
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Acceso en línea:Citation/Abstract
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024 7 |a 10.1186/s40594-025-00573-z  |2 doi 
035 |a 3259461547 
045 2 |b d20251201  |b d20251231 
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100 1 |a Vermehren, J. A. Vega  |u Technical University of Munich, Munich, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Center for Digital Technology and Management, Munich, Germany (GRID:grid.6936.a) 
245 1 |a Abstract thought in STEM education: an integrative literature review 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a PurposeAbstract thought builds the basis for problem-solving and knowledge consolidation across the disciplines of science, technology, engineering, and mathematics (STEM). Scientists across these fields acknowledge its significance and have approached the topic from their distinct perspectives, and yet, in STEM, there is a lack of a unified understanding and definition of abstraction.MethodsTo bridge this gap, in this study we employed the integrative literature review methodology to identify the most relevant literature in STEM education and unify the literature into a comprehensive model of abstraction for STEM.ResultsAbstraction is a process of consolidation common to all STEM fields. Starting from a specific point of view, empirical and reflective abstraction strategies, such as reduction, pattern recognition, generalization, interiorization, encapsulation, and coordination, work in parallel to manipulate objects across the concrete-abstract continuum. Beyond, we identified six discrete levels of abstraction in STEM and aligned the new model to the prevalent discourses on modeling, representation, problem-solving, and computational thinking.ConclusionOur model of abstraction for STEM contributes to a unified understanding of STEM education by highlighting the fundamental role that abstraction plays across all disciplines. In doing so, this study provides a foundational framework that can inform curriculum development and interdisciplinary teaching approaches across STEM. 
653 |a Problem solving 
653 |a Mathematics 
653 |a Scientists 
653 |a Computer science 
653 |a Pattern recognition 
653 |a Mathematics education 
653 |a STEM education 
653 |a Consolidation 
653 |a Psychologists 
653 |a Literature reviews 
653 |a Technology education 
653 |a Science education 
653 |a Education 
653 |a Databases 
653 |a Philosophers 
653 |a Social 
653 |a Competence 
653 |a Educational Research 
653 |a Piagetian Theory 
653 |a Engineering 
653 |a Mathematics Achievement 
653 |a Electronic Equipment 
653 |a Meta Analysis 
653 |a Middle Schools 
653 |a Search Strategies 
653 |a Information Seeking 
653 |a Interdisciplinary Approach 
653 |a Database Management Systems 
653 |a Definitions 
653 |a Philosophy 
653 |a Mechanics (Physics) 
653 |a Algorithms 
653 |a Selection Criteria 
700 1 |a Trikoili, A.  |u Technical University of Munich, Munich, Germany (GRID:grid.6936.a) (ISNI:0000000123222966) 
700 1 |a Pittich, D.  |u Technical University of Munich, Munich, Germany (GRID:grid.6936.a) (ISNI:0000000123222966) 
773 0 |t International Journal of STEM Education  |g vol. 12, no. 1 (Dec 2025), p. 54 
786 0 |d ProQuest  |t Agriculture Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3259461547/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
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