JOURNAL ARTICLE

Meaningful Learning in Mathematics: A Research Synthesis of Teaching Approaches

Rauno KoskinenHarri Pitkäniemi

Year: 2022 Journal:   International Electronic Journal of Mathematics Education Vol: 17 (2)Pages: em0679-em0679

Abstract

The premise on which our synthesis is based is the fragmentation of research focused on teaching and learning in mathematics. Our intention is to build an aggregate synthesis from these sources in the context of school education and meaningful learning. Our research targets the links between the different approaches used in teaching, interaction during the teaching-learning process and learning outcomes. Methodologically, our dataset consists of qualitative, quantitative, and mixed-methods studies and meta-analyses. An EBSCO search produced 69 analysis-eligible publications from 2007-2019. According to our findings, the use of contextual, concrete and social approaches promotes meaningful learning in mathematics, although with certain refinements. The analyses revealed that high-quality learning in mathematics requires guidance during student activities and evaluation with immediate feedback during the teaching-learning process. It also requires the skill among teachers to choose suitable contexts and learning tools, and to focus the students’ communication on what is relevant. Additional significant factors in a meaningful learning process include an affectively favourable classroom atmosphere and teachers who treat their students as individuals. Keywords: mathematics, teaching, learning, synthesis, holistic approach

Keywords:
Premise Mathematics education Context (archaeology) Process (computing) Teaching method Experiential learning Quality (philosophy) Meaningful learning Computer science Psychology

Metrics

37
Cited By
23.41
FWCI (Field Weighted Citation Impact)
93
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Technology-Enhanced Education Studies
Social Sciences →  Social Sciences →  Education
Educational Innovations and Technology
Physical Sciences →  Computer Science →  Information Systems
Neuroscience, Education and Cognitive Function
Life Sciences →  Neuroscience →  Cognitive Neuroscience

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