Skip to main content
Log in

The Effectiveness of Concept Maps on Students’ Achievement in Science: A Meta-Analysis

  • META-ANALYSIS
  • Published:
Educational Psychology Review Aims and scope Submit manuscript

Abstract

This study aims to evaluate the effectiveness of concept maps on science achievement among elementary and secondary education students, including low-achieving students. A systematic search located 55 studies about concept mapping in science achievement published in peer-reviewed journals and dissertations between 1980 and 2020. We extracted 58 independent standardized mean difference effect sizes from 55 eligible studies involving 5,364 students from Grade 3 to Grade 12 who used concept maps for learning in physics/earth science, chemistry, and biology that met the specified design criteria. A random-effects model meta-analysis revealed that the mean effect size was moderate for overall science (g = 0.776). The mean effect sizes varied from moderate to large based on the subject area (g = 0.671 for biology; g = 0.590 for chemistry; g = 1.040 for physics and earth science); these differences between groups were not statistically significant (p = 0.220). Concept maps were generally associated with increased science learning across several learning and teaching conditions, and methodological features (low-achieving students, higher teaching guidance, intermediate grades, low- or middle-income countries, journal publications, and late year of publication). However, we found significant heterogeneity in most subsets. Implications for future research and practice recommendations are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

References marked with an asterisk indicate studies included in the meta-analysis.

  • * Abayomi, B. I. (1988). The effects of concept mapping and cognitive style on science achievement (Publication No. 8814330) [Doctoral dissertation, Georgia State University Atlanta]. ProQuest Dissertations and Theses.

  • * Ade-Ogunnowo, F. E., Ogundele, O. E., & Kalejaiye, B. A. (2015). Mind mapping and concept mapping as effective learning tools in biology education. Proceedings of the 1st Interdisciplinary Conference of UCC-TASUED 2015, University of Cape Coast Ghana.

  • * Adlaon, R. B. (2012). Assessing effectiveness of concept map as instructional tool in high school biology [Unpublished master’s thesis]. Louisiana State University.

  • * Akay, S. Ö., Baştürk, K. A. Y. A., & Kilic, S. (2012). The effects of concept maps on the academic success and attitudes of 11th graders while teaching urinary system. International Online Journal of Primary Education1(1), 23-30.

  • * Akpinar, E., & Ergin, O. (2008). Fostering primary school students' understanding of cells and other related concepts with interactive computer animation instruction accompanied by teacher and student-prepared concept maps. Asia-Pacific Forum on Science Learning and Teaching, 9(1), 1–13.

  • * Al khawaldeh, S. A., & Al Olaimat, A. M. (2009). The contribution of conceptual change texts accompanied by concept mapping to eleventh-grade students understanding of cellular respiration concepts. Journal of Science Education and Technology, 19(2), 115–125. https://doi.org/10.1007/s10956-009-9185-z

  • Amadieu, F., Van Gog, T., Paas, F., Tricot, A., & Mariné, C. (2009). Effects of prior knowledge and concept-map structure on disorientation, cognitive load, and learning. Learning and Instruction, 19(5), 376–386. https://doi.org/10.1016/j.learninstruc.2009.02.005

    Article  Google Scholar 

  • * Asan, A. (2007). Concept mapping in science class: A case study of fifth grade students. Educational Technology & Society, 10(1), 186–195.

  • Ausubel, D. (1962). A subsumption theory of meaningful verbal learning and retention. The Journal of General Psychology, 66, 213–222. https://doi.org/10.1080/00221309.1962.9711837

    Article  Google Scholar 

  • Ausubel, D. (1963). The psychology of meaningful verbal learning. Grune & Stratton.

    Google Scholar 

  • Bagos, P. G., & Nikolopoulos, G. K. (2009). Generalized least squares for assessing trends in cumulative meta-analysis with applications in genetic epidemiology. Journal of Clinical Epidemiology, 62(10), 1037–1044. https://doi.org/10.1016/j.jclinepi.2008.12.008

    Article  Google Scholar 

  • * Balım, A. G. (2013). Use of technology-assisted techniques of mind mapping and concept mapping in science education: A constructivist study. Irish Educational Studies, 32(4), 437–456.https://doi.org/10.1080/03323315.2013.862907

  • Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50(4), 1088–1101. https://doi.org/10.2307/2533446

    Article  Google Scholar 

  • * Berry, J., Potter, J., & Hollas, V. (2013). Concept Maps and Informational Read-Alouds: Strengthening Both Science and Reading for Elementary Students. Texas Journal of Literacy Education1(1), 29–44.

  • * Bodolus, J. E. (1986). The use of a concept mapping strategy to facilitate meaningful learning for ninth grade students in science [Unpublished doctoral dissertation]. Temple University.

  • * BouJaoude, S., & Attieh, M (2003 March 23–26). The effect of using concept maps as study tools on achievement in chemistry [Paper presentation]. Annual Meeting of the National Association for Research in Science Teaching, Philadelphia, PA, United States.

  • Boyle, J. R. (1996). The effects of a cognitive mapping strategy on the literal and inferential comprehension of students with mild disabilities. Learning Disability Quarterly, 19(2), 86–98. https://doi.org/10.2307/1511250

    Article  Google Scholar 

  • * Bramwell-Lalor, S., & Rainford, M. (2014). The effects of using concept mapping for improving advanced level biology students' lower- and higher-order cognitive skills. International Journal of Science Education36(5), 839-864.https://doi.org/10.1080/09500693.2013.829255

  • * Brandt, L., Elen, J., Hellemans, J., Heerman, L., Couwenberg, I., Volckaert, L., & Morisse, H. (2001). The impact of concept mapping and visualization on the learning of secondary school chemistry students. International Journal of Science Education23(12), 1303-1313.https://doi.org/10.1080/09500690110049088

  • * Brown, D. S. (2000). The effect of individual and group concept mapping on students’ conceptual understanding of photosynthesis and cellular respiration in three different academic levels of biology classes (Publication No. 9970734) [Doctoral dissertation, University of Missouri-Kansas City]. ProQuest Dissertation and Theses.

  • Bunge, M. (2013). Medical philosophy: Conceptual issues in medicine. World Scientific.

  • Carnine, L., & Carnine, D. (2004). The interaction of reading skills and science content knowledge when teaching struggling secondary students. Reading & Writing Quarterly, 20(2), 203–218. https://doi.org/10.1080/10573560490264134

    Article  Google Scholar 

  • Chang, K.-E., Sung, Y.-T., & Chen, I.-D. (2002). The effect of concept mapping to enhance text comprehension and summarization. The Journal of Experimental Education, 71(1), 5–23. https://doi.org/10.1080/00220970209602054

    Article  Google Scholar 

  • * Chang, W. (1994). The effects of using concept mapping to supplement class notes on the biology test scores of seventh grade students in Taiwan, R.O.C. (Publication No. 9513557) [Doctoral dissertation, University of Iowa]. ProQuest Dissertation and Theses.

  • * Chang, C., Yeh, T., & Shih, C. (2016). The effects of integrating computer-based concept mapping for physics learning in junior high school. Eurasia Journal of Mathematics, Science and Technology Education12(9). https://doi.org/10.12973/eurasia.2016.1284a

  • * Chen, C., Chou, Y., & Huang, C. (2016). An augmented-reality-Based concept map to support mobile learning for science. The Asia-Pacific Education Researcher, 25(4), 567–578.https://doi.org/10.1007/s40299-016-0284-3

  • Chen, O., Paas, F., & Sweller, J. A. (2023). Cognitive load theory approach to defining and measuring task complexity through element interactivity. Educational Psychology Review, 35(63), 1–18. https://doi.org/10.1007/s10648-023-09782-w

    Article  Google Scholar 

  • Clark, J. M., & Paivio, A. (1991). Dual coding theory and education. Educational Psychology Review, 3(3), 149–210. https://doi.org/10.1007/BF01320076

    Article  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). L. Erlbaum

  • * Conklin, E. (2007). Concept mapping: Impact on content and organization of technical writing in science (Publication No. 3254433) [Doctoral dissertation, Walden University]. ProQuest Dissertation and Theses.

  • Cook, B. G., & Cook, S. C. (2013). Unraveling evidence-based practices in special education. Journal of Special Education, 47, 71–82. https://doi.org/10.1177/0022466911420877

    Article  Google Scholar 

  • * Damaso, K., & Banda, A. (2019). Effect of concept mapping on learner achievement on mole concept. International Journal of Advanced Research and Publications3(11), 18–26.

  • Davies, M. (2011). Concept mapping, mind mapping and argument mapping: What are the differences and do they matter? Higher Education, 62, 279–301. https://doi.org/10.1007/s10734-010-9387-6

    Article  Google Scholar 

  • Demetriou, A., Spanoudis, G., & Mouyi, A. (2011). Educating the developing mind: Towards an overarching paradigm. Educational Psychology Review, 23(4), 601–663. https://doi.org/10.4324/9781003187486

    Article  Google Scholar 

  • DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177–188. https://doi.org/10.1016/0197-2456(86)90046-2

    Article  Google Scholar 

  • Duval, S., & Tweedie, R. (2000). A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95(449), 89–98. https://doi.org/10.2307/2669529

    Article  Google Scholar 

  • Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315, 629–634. https://doi.org/10.1136/bmj.315.7109.629

    Article  Google Scholar 

  • Erdogan, Y. (2009). Paper-based and computer-based concept mappings: The effects on computer achievement, computer anxiety and computer attitude. British Journal of Educational Technology, 40(5), 821–836. https://doi.org/10.1111/j.1467-8535.2008.00856.x

    Article  Google Scholar 

  • * Fatokun, K. V. F., & Eniayeju, P. A. (2014). The effect of concept mapping-guided discovery integrated teaching approach on Chemistry students achievement and retention. Educational Research and Reviews9(22), 1218-1223.https://doi.org/10.5897/ERR2014.1848

  • * Ferreira, P., & Zygouris-Coe, V. (2013). Concept mapping and middle school science students’ vocabulary and comprehension: A quasi-experimental study. Journal of Reading Education39(1), 23–31.

  • Flanagan, S. M., & Bouck, E. C. (2015). Mapping out the details: Supporting struggling writers’ written expression with concept mapping. Preventing School Failure, 59(4), 244–252. https://doi.org/10.1080/1045988X.2014.933400

    Article  Google Scholar 

  • Forero, D. A., Lopez-Leon, S., González-Giraldo, Y., & Bagos, P. G. (2019). Ten simple rules for carrying out and writing meta-analyses. PLOS Computational Biology, 15(5), 1–7. https://doi.org/10.1371/journal.pcbi.1006922

    Article  Google Scholar 

  • * Gongden, E. J., & Delmang, T. K. (2016). The efficacy of concept mapping instructional strategy in remedying students' problem-solving difficulties in stoichiometry. African Research Review10(2), 144.https://doi.org/10.4314/afrrev.v10i2.9

  • * Greene, P. (2011). Concept mapping and the science achievement of third grade students (Publication No. 3450514) [Doctoral dissertation, Walden University]. ProQuest Dissertation and Theses.

  • * Guastello, E. F., Beasley, T. M., & Sinatra, R. C. (2000). Concept mapping effects on science content comprehension of low-achieving inner-city seventh graders. Remedial and Special Education21(6), 356–364.https://doi.org/10.1177/074193250002100605

  • * Gulati, S. (2005). a comparison of inquiry-based teaching through concept maps and traditional teaching in biology (Publication No. 3188183) [Doctoral dissertation, University of South Dakota]. ProQuest Dissertation and Theses.

  • * Hagemans, M. G., Van der Meij, H., & De Jong, T. (2013). The effects of a concept map-based support tool on simulation-based inquiry learning. Journal of Educational Psychology105(1), 1-24.https://doi.org/10.1037/a0029433

  • Halford, G. S., Wilson, W. H., & Phillips, S. (1998). Processing capacity defined by relational complexity: Implications for comparative, developmental, and cognitive psychology. The Behavioral and Brain Sciences, 21, 803–864. https://doi.org/10.1017/S0140525X98001769

    Article  Google Scholar 

  • * Haugwitz, M., Nesbit, J. C., & Sandmann, A. (2010). Cognitive ability and the instructional efficacy of collaborative concept mapping. Learning and Individual Differences20(5), 536–543.https://doi.org/10.1016/j.lindif.2010.04.004

  • Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press.

  • Higgins, J., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327, 557–560. https://doi.org/10.1136/bmj.327.7414.557

    Article  Google Scholar 

  • Horton, P. B., McConney, A. A., Gallo, M., Woods, A. L., Senn, G. J., & Hamelin, D. (1993). An investigation of the effectiveness of concept mapping as an instructional tool. Science Education, 77(1), 95–111. https://doi.org/10.1002/sce.3730770107

    Article  Google Scholar 

  • Hughes, C. A., Morris, J. R., Therrien, W. J., & Benson, S. K. (2017). Explicit instruction: Historical and contemporary contexts. Learning Disabilities Research & Practice, 32(3), 140–148. https://doi.org/10.1111/ldrp.12142

    Article  Google Scholar 

  • * Hwang, G., Shi, Y., & Chu, H. (2011). A concept map approach to developing collaborative Mindtools for context-aware ubiquitous learning. British Journal of Educational Technology42(5), 778–789.https://doi.org/10.1111/j.1467-8535.2010.01102.x

  • * Hwang, G., Yang, L., & Wang, S. (2013). A concept map-embedded educational computer game for improving students' learning performance in natural science courses. Computers & Education69, 121–130.https://doi.org/10.1016/j.compedu.2013.07.008

  • * Hwang, G., Zou, D., & Lin, J. (2020). Effects of a multi-level concept mapping-based question-posing approach on students’ ubiquitous learning performance and perceptions. Computers & Education149. https://doi.org/10.1016/j.compedu.2020.103815

  • Ioannidis, J. P., & Trikalinos, T. A. (2005). Early extreme contradictory estimates may appear in published research: The Proteus phenomenon in molecular genetics research and randomized trials. Journal of Clinical Epidemiology, 58, 543–549. https://doi.org/10.1016/j.jclinepi.2004.10.019

    Article  Google Scholar 

  • * Jegede, O. J., Alaiyemola, F. F., & Okebukola, P. A. (1990). The effect of concept mapping on students' anxiety and achievement in biology. Journal of Research in Science Teaching27(10), 951–960.https://doi.org/10.1002/tea.3660271004

  • * Jena, A. K. (2019). Concept map in photosynthesis and its effects on achievement and self-classroom management. International Journal of Research in Teacher Education10(4), 1–18.

  • Karpicke, J. D., & Blunt, J. R. (2011). Retrieval practice produces more learning than elaborative studying with concept mapping. Science, 331(6018), 772–775. https://doi.org/10.1126/science.1199327

    Article  Google Scholar 

  • * Keown, S. L. (2008). Effects of the use of thematic organizers in conjunction with concept mapping on learning, misconceptions, and retention in middle school science classes (Publication No. 3341861) [Doctoral dissertation, Tennessee State University]. ProQuest Dissertation and Theses.

  • * Kim, P., & Olaciregui, C. (2008). The effects of a concept map-based information display in an electronic portfolio system on information processing and retention in a fifth-grade science class covering the earth's atmosphere. British Journal of Educational Technology39(4), 700–714.https://doi.org/10.1111/j.1467-8535.2007.00763.x

  • Kirschner, P. A. (2002). Cognitive load theory: Implications of cognitive load theory on the design of learning. Learning and Instruction, 12(1), 1–10. https://doi.org/10.1016/S0959-4752(01)00014-7

    Article  Google Scholar 

  • Kirschner, P. A. & Hendrick, C. (2020). How learning happens: Seminal works in educational psychology and what they mean in practice. Routledge.

  • Kirschner, P. A. & Hendrick, C., & Heal, J. (2022). How teaching happens: Seminal works in teaching and teacher effectiveness and what they mean in practice. Routledge.

  • * Kwon, S. Y., & Cifuentes, L. (2007). Using computers to individually-generate vs. collaboratively-generate concept maps. Journal of Educational Technology & Society10(4), 269–280.

  • * Kwon, S. Y., & Cifuentes, L. (2009). The comparative effect of individually-constructed vs. collaboratively-constructed computer-based concept maps. Computers & Education52(2), 365–375. https://doi.org/10.1016/j.compedu.2008.09.012

  • Lau, J., Schmid, C. H., & Chalmers, T. C. (1995). Cumulative meta-analysis of clinical trials builds evidence for exemplary medical care. Journal of Clinical Epidemiology, 48, 45–57. https://doi.org/10.1016/0895-4356(94)00106-Z

    Article  Google Scholar 

  • * Leary, R. (1993). Effect of concept maps on concept learning and problem-solving achievement in high school chemistry (Publication No. 3341861) [Doctoral dissertation, Arizona State University]. ProQuest Dissertation and Theses.

  • * Ledger, A. F. (2003). The effects of collaborative concept mapping on the achievement, science self-efficacy and attitude toward science of female eighth grade students (Publication No. 3090329) [Doctoral dissertation, University of Massachusetts Lowell]. ProQuest Dissertation and Theses.

  • * Ling, Y., & Boo, H. K. (2007). Concept mapping and pupils’ learning in primary science in Singapore. Asia-Pacific Forum on Science Learning and Teaching, 8(2), 1–28.

  • Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Sage.

    Google Scholar 

  • Marzetta, K., Mason, H., & Wee, B. (2018). ‘Sometimes they are fun and sometimes they are not’: Concept mapping with English Language acquisition (ELA) and gifted/talented (GT) elementary students learning science and sustainability. Education Sciences, 8(1), 1–13. https://doi.org/10.3390/educsci8010013

    Article  Google Scholar 

  • Mayr, E. (1997). This is Biology: The science of the living world. The Belknap Press of Harvard University Press.

    Google Scholar 

  • McAuley, L., Pham, B., Tugwell, P., & Moher, D. (2000). Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? The Lancet, 356(9237), 1228–1231. https://doi.org/10.1016/S0140-6736(00)02786-0

    Article  Google Scholar 

  • * Mcfall, R. E. (1999). Effects of concept maps and dialogue journals on bilingual students’ conceptual understanding in science (Publication No. 9928205) [Doctoral dissertation, Boston University]. ProQuest Dissertation and Theses.

  • Merchie, E., & Van Keer, H. (2016). Mind mapping as a meta-learning strategy: Stimulating preadolescents’ text-learning strategies and performance? Contemporary Educational Psychology, 46, 128–147. https://doi.org/10.1016/j.cedpsych.2016.05.005

    Article  Google Scholar 

  • Miller, R. D. (2016). Contextualizing instruction for English Language learners with learning disabilities. Teaching Exceptional Children, 49(1), 58–65. https://doi.org/10.1177/0040059916662248

    Article  Google Scholar 

  • Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(6), e1000097. https://doi.org/10.1371/journal.pmed1000097

    Article  Google Scholar 

  • * Morfidi, E., Mikropoulos, A., & Rogdaki, A. (2017). Using concept mapping to improve poor readers’ understanding of expository text. Education and Information Technologies, 23(1), 271–286.https://doi.org/10.1007/s10639-017-9600-7

  • Nesbit, J. C., & Adesope, O. O. (2006). Learning with concept and knowledge maps: A meta-analysis. Review of Educational Research, 76(3), 413–448. https://doi.org/10.3102/00346543076003413

    Article  Google Scholar 

  • Nesbit, J. C., & Adesope, O. O. (2013). Concept maps for learning, theory, research, and design. In G. Schraw, M. T. McCrudden, & D. Robinson (Eds.), Learning through visual displays (pp. 303–328). Information Age Publishing.

    Google Scholar 

  • Nicoara, S. M., Szabo, B.A., Micu, C. M, & Badea, A. F. (2017). Meta-analysis on the study with concept maps on the medical field. Transylvanian Journal of Psychology, 18, 133–170. https://doi.org/10.24193/epsz.2017.2.4

  • Normand, S. L. (1999). Meta-analysis: Formulating, evaluating, combining, and reporting. Statistics in Medicine, 18(3), 321–359. https://doi.org/10.1002/(SICI)1097-0258(19990215)18:3%3C321::AID-SIM28%3E3.0.CO;2-P

    Article  Google Scholar 

  • Novak, J. D., & Cañas A. J. (2008). The theory underlying concept maps and how to construct and use them (Technical Report IHMC Cmap Tools 2006–01 Rev 01–2008). Florida Institute for Human and Machine Cognition.

  • Novak, J. D., & Gowin, D. B. (1984). Learning how to learn. Cambridge University Press. https://doi.org/10.1017/CBO9781139173469

    Book  Google Scholar 

  • Novak, J. D. (1991). Clarify with concept maps: A tool for students and teachers alike. The Science Teacher, 58, 45–49.

    Google Scholar 

  • Novak, J. D. (2010a). Learning, creating, and using knowledge: Concept maps as facilitative tools for schools and corporations (2nd ed.). New York: Routledge. https://doi.org/10.4324/9780203862001

  • Novak, J. D. (2010b). Learning, creating and using knowledge: Concept maps as facilitating tools in schools and corporations. Journal of e-Learning and Knowledge Society, 6(3), 21–30. https://doi.org/10.4324/9780203862001

    Article  Google Scholar 

  • Novak, J. D., & Cañas, A. J. (2006). The origins of the concept mapping tool and the continuing evolution of the tool. Information Visualization, 5(3), 175–184. https://doi.org/10.1057/palgrave.ivs.9500126

    Article  Google Scholar 

  • * Ogonnaya, U. P., Okafor, G., Abonyi, O. S., & Ugama, J. O. (2016). Effects of concept mapping instruction approach on students' achievement in basic science. Journal of Education and Practice7(8), 79–84.

  • * Okebukola, P. A. (1992). Concept mapping with a cooperative learning flavor. The American Biology Teacher54(4), 218–221.https://doi.org/10.2307/4449458

  • * Olgun, Ö. S. Ç. (2008). Examining the fifth graders’ understanding of heat and temperature concepts via concept mapping. H. U. Journal of Education34(34), 54–62.

  • Oliver, K. (2009). An investigation of concept mapping to improve the reading comprehension of science texts. Journal of Science Education and Technology, 18(5), 402–414. https://doi.org/10.1007/s10956-009-9157-3

    Article  Google Scholar 

  • Paez, A. (2017). Gray literature: An important resource in systematic reviews. Journal of Evidence-Based Medicine, 10(3), 233–240. https://doi.org/10.1111/jebm.12266

    Article  Google Scholar 

  • Paivio, A. (1986). Mental representations: A Dual-coding approach. New York, NY.

    Google Scholar 

  • *Pankratius, W. J. (1990). Building an organized knowledge base: Concept mapping and achievement in secondary school physics. Journal of Research in Science Teaching27(4), 315–333.https://doi.org/10.1002/tea.3660270404

  • Pullen, P. C., & Hallahan, D. P. (2015). What is special education instruction? In B. Bateman, J. W. Lloyd, & M. Tankersley (Eds.), Enduring issues in special education: Personal perspectives (pp. 37–50). Routledge.

  • Petiti, D. B. (1994). Meta-Analysis, decision analysis, and cost-effectiveness analysis: Methods for quantitative synthesis in medicine (Monographs in epidemiology and biostatistics). Oxford University Press.

    Google Scholar 

  • * Redford, J. S., Thiede, K. W., Wiley, J., & Griffin, T. D. (2012). Concept mapping improves metacomprehension accuracy among 7th graders. Learning and Instruction22(4), 262-270.https://doi.org/10.1016/j.learninstruc.2011.10.007

  • Reiska, P., Soika, K., Möllits, A., Rannikmäe, M., & Soobard, R. (2015). Using concept mapping method for assessing students’ scientific literacy. Procedia - Social and Behavioral Sciences, 177, 352–357. https://doi.org/10.1016/j.sbspro.2015.02.357

    Article  Google Scholar 

  • Rewey, K. L., Dansereau, D. F., Skaggs, L. P., Hall, R. H., & Pitre, U. (1989). Effects of scripted cooperation and knowledge maps on the processing of technical material. Journal of Educational Psychology, 81(4), 604–609. https://doi.org/10.1037/0022-0663.81.4.604

    Article  Google Scholar 

  • Rivet, A. E., & Krajcik, J. S. (2007). Contextualizing instruction: Leveraging students’ prior knowledge and experiences to foster understanding of middle school science. Journal of Research in Science Teaching, 45(1), 79–100. https://doi.org/10.1002/tea.20203

    Article  Google Scholar 

  • * Roberts, V., & Joiner, R. (2007). Investigating the efficacy of concept mapping with pupils with autistic spectrum disorder. British Journal of Special Education34(3), 127–135.https://doi.org/10.1111/j.1467-8578.2007.00468.x

  • * Schmid, R. F., & Telaro, G. (1990). Concept mapping as an instructional strategy for high school biology. The Journal of Educational Research, 84(2), 78–85. https://doi.org/10.1080/00220671.1990.10885996

  • Schroeder, N. L., Nesbit, J. C., Anguiano, C. J., & Adesope, O. O. (2018). Studying and constructing concept maps: A meta-analysis. Educational Psychology Review, 30(2), 431–455. https://doi.org/10.1007/s10648-017-9403-9

    Article  Google Scholar 

  • Serajuddin, U., & Hamadeh, N. (2020). New World Bank country classifications by income level: 2020–2021. The World Bank. https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2020-2021

  • * Snead, D. (2000). Concept mapping and science achievement of middle grade students (Publication No. 9968097) [Doctoral dissertation, University of Kentucky]. ProQuest Dissertations and Theses.

  • * Spaulding, D. T. (1989) Concept mapping and achievement in high school biology and chemistry (Publication No. 8920449) [Doctoral dissertation, Florida Institute of technology]. ProQuest Dissertation.

  • * Stanisavljević, J. D., Bunijevac, M. M., & Stanisavljević, L. Ž. (2017). The application of concept maps in the teaching of pollination and pollinators in elementary school. Journal of Baltic Science Education16(5), 746–760. https://doi.org/10.33225/jbse/17.16.746

  • Stata Corporation. (2013). Stata Statistical Software: Release 13. StataCorp LP.

    Google Scholar 

  • * Stensvold, M. S. (1989). An assessment of concept mapping as a learning tool for the science instructional laboratory (Publication No. 9004949) [Doctoral dissertation, University of Iowa] ProQuest Dissertations and Theses.

  • Sturm, J. M., & Rankin-Erickson, J. L. (2002). Effects of hand-drawn and computer-generated concept mapping on the expository writing of middle school students with learning disabilities. Learning Disabilities Research and Practice, 17(2), 124–139. https://doi.org/10.1111/1540-5826.00039

    Article  Google Scholar 

  • Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295–312. https://doi.org/10.1016/0959-4752(94)90003-5

    Article  Google Scholar 

  • Sweller, J. (2020). Cognitive load theory and educational technology. Educational Technology Research and Development, 68, 1–16. https://doi.org/10.1007/s11423-019-09701-3

    Article  Google Scholar 

  • Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer-Verlag.

    Book  Google Scholar 

  • Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10, 251–296. https://doi.org/10.1023/A:1022193728205

    Article  Google Scholar 

  • * Tastan, I., Dikmenli, M., & Cardak, O. (2008). Effectiveness of the conceptual change texts accompanied by concept maps about students' understanding of the molecules carrying genetical information. In Asia-Pacific Forum on Science Learning and Teaching, 9(1), 1–13.

  • * Tekkaya, C. (2003). Remediating high school students' misconceptions concerning diffusion and osmosis through concept mapping and conceptual change text. Research in Science & Technological Education21(1), 5-16.https://doi.org/10.1080/02635140308340

  • Thompson, S. G., & Sharp, S. J. (1999). Explaining heterogeneity in meta-analysis: A comparison of methods. Statistics in Medicine, 18(20), 2693–2708. https://doi.org/10.1002/(SICI)1097-0258(19991030)18:20%3C2693::AID-SIM235%3E3.0.CO;2-V

    Article  Google Scholar 

  • * Udupa, P. S. (1992) Concept mapping/cooperative learning as a technique to improve the learning of "at-risk" and nondisabled students (Publication No. 9239159) [Doctoral dissertation, University of Minnesota]. ProQuest Dissertation.

  • * Uygur, M. (2019). The effects of using digitally supported concept maps method in science classes in primary education on the academic success and students’ opinions. Science Education International30(3), 209–216. https://doi.org/10.33828/sei.v30.i3.7

  • * Willerman, M., & Mac Harg, R. A. (1991). The concept map as an advance organizer. Journal of Research in Science Teaching28(8), 705–711.https://doi.org/10.1002/tea.36602808

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dimitris Anastasiou.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anastasiou, D., Wirngo, C.N. & Bagos, P. The Effectiveness of Concept Maps on Students’ Achievement in Science: A Meta-Analysis. Educ Psychol Rev 36, 39 (2024). https://doi.org/10.1007/s10648-024-09877-y

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10648-024-09877-y

Keywords

Navigation