Growth mindset in mathematics: A bibliometric analysis
DOI:
https://doi.org/10.23917/jramathedu.v10i1.6482Keywords:
Bibliometric analysis, Growth mindset, Mathematics, VOSviewerAbstract
A growth mindset is the belief that one's intellect and abilities may develop through effort. This mindset suggests that intelligence is not fixed but adaptable. With the continuous growth in literature on the growth mindset in mathematics, there is a need to investigate the current trends from a bibliometric perspective. To meet this need, the leading countries, source citations, author co-citations, and word co-occurrences were examined. A total of 317 articles were retrieved from the Scopus and Web of Science (WoS) databases spanning 2014–2023. The VOSviewer software was used to analyze the collected data. The United States was the leading contributor to growth mindset research, Frontiers in Psychology emerged as the major source of citations, with Dweck being the most cited author. The word co-occurrence map was grouped into different clusters. The Scopus database shows how belief systems shape mindsets and how motivation intersects with clinical and longitudinal investigations. WoS emphasizes the importance of interventions that narrow belief-achievement gaps, as well as the role of technology. These findings offer valuable insights into the expanding body of research on growth mindset in mathematics, paving the way for further research to explore interventions, cultural influences, and long-term effects on student outcomes.
References
Aguilar, J. J. (2021). High school students’ reasons for disliking mathematics: The intersection between teacher’s role and student’s emotions, belief and self-efficacy. International Electronic Journal of Mathematics Education, 16(3), 1-11. https://doi.org/10.29333/iejme/11294
Bedford, S. (2017). Growth mindset and motivation: A study into secondary school science learning. Research Papers in Education, 32(4), 424-443. https://doi.org/10.1080/02671522.2017.1318809
Bettinger, E., Ludvigsen, S., Rege, M., Solli, I. F., & Yeager, D. (2018). Increasing perseverance in math: Evidence from a field experiment in Norway. Journal of Economic Behavior & Organization, 146, 1-15. https://doi.org/10.1016/j.jebo.2017.11.032
Blackwell, L. S., Rodriguez, S., & Guerra-Carrillo, B. (2015). Intelligence as a malleable construct. In S. Goldstein, D. Princiotta, & J. Naglieri (Eds.), Handbook of Intelligence (pp. 263-282). Springer. https://doi.org/10.1007/978-1-4939-1562-0_18
Blackwell, L. S., Trzesniewski, K. H., & Dweck, C. S. (2007). Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and intervention. Child Development, 78(1), 246-263. https://doi.org/10.1111/j.1467-8624.2007.00995.x
Boroush, M. & Guci, L. (2022, April 28). Research and Development: U.S. Trends and International Comparisons. National Center for Science and Engineering Statistics. https://bit.ly/3JORTme
Bosch, N. (2021). Identifying supportive student factors for mindset interventions: A two-model machine learning approach. Computers & Education, 167(104190). https://doi.org/10.1016/j.compedu.2021.104190
Bostwick, K. C., Collie, R. J., Martin, A. J., & Durksen, T. L. (2017). Students’ growth mindsets, goals, and academic outcomes in mathematics. Zeitschrift für Psychologie, 225(2), 107-116. https://doi.org/10.1027/2151-2604/a000287
Bostwick, K. C., Martin, A. J., Collie, R. J., & Durksen, T. L. (2019). Growth orientation predicts gains in middle and high school students’ mathematics outcomes over time. Contemporary Educational Psychology, 58, 213-227. https://doi.org/10.1016/j.cedpsych.2019.03.010
Chain, C. P., Santos, A. C. D., Castro, L. G. D., & Prado, J. W. D. (2019). Bibliometric analysis of the quantitative methods applied to the measurement of industrial clusters. Journal of Economic Surveys, 33(1), 60-84. https://doi.org/10.1111/joes.12267
Cheng, K., Guo, Q., Shen, Z., Yang, W., Wang, Y., Sun, Z., & Wu, H. (2022). Bibliometric analysis of global research on cancer photodynamic therapy: focus on nano-related research. Frontiers in Pharmacology, 13, 1-19. https://doi.org/10.3389/fphar.2022.927219
Claro, S., Paunesku, D., & Dweck, C. S. (2016). Growth mindset tempers the effects of poverty on academic achievement. Proceedings of the National Academy of Sciences, 113(31), 8664-8668. https://doi.org/10.1073/pnas.1608207113
Degol, J. L., Wang, M. T., Zhang, Y., & Allerton, J. (2018). Do growth mindsets in math benefit females? Identifying pathways between gender, mindset, and motivation. Journal of Youth and Adolescence, 47, 976-990. https://doi.org/10.1007/s10964-017-0739-8
Dong, L., & Kang, Y. (2022). Cultural differences in mindset beliefs regarding mathematics learning. Current Opinion in Behavioral Sciences, 46(101159). https://doi.org/10.1016/j.cobeha.2022.101159
Donthu, N., Kumar, S., & Pandey, N. (2020). A retrospective evaluation of Marketing Intelligence and Planning: 1983–2019. Marketing Intelligence & Planning, 39(1), 48-73. https://doi.org/10.1108/MIP-02-2020-0066
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Dweck, C. S. (2000). Self-Theories: Their role in motivation, personality, and development. Psychology Press.
Dweck, C. S. (2006). Mindset: The new psychology of success. Random House Publishing Group.
Dweck C. S. (2008). Mindsets and math/science achievement. Carnegie Corp. of New York–Institute for Advanced Study Commission on Mathematics and Science Education. https://www.scirp.org/reference/referencespapers?referenceid=1359204
Eccles, J. (2009). Who am I and what am I going to do with my life? Personal and collective identities as motivators of action. Educational Psychologist, 44(2), 78-89. https://doi.org/10.1080/00461520902832368
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?. Scientometrics, 105, 1809-1831. https://doi.org/10.1007/s11192-015-1645-z
Espina, E., Marbán, JM, & Maroto, A. (2022). A retrospective look at the research on dyscalculia from a bibliometric approach1 A retrospective look at the research on dyscalculia from a bibliometric approach. Journal of Education , 396 , 201-229. https://doi.org/10.4438/1988-592X-RE-2022-396-535
Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google scholar: strengths and weaknesses. The Federation of American Societies for Experimental Biology journal, 22(2), 338-342. https://doi.org/10.1096/fj.07-9492LSF
Fuesting, M. A., Diekman, A. B., Boucher, K. L., Murphy, M. C., Manson, D. L., & Safer, B. L. (2019). Growing STEM: Perceived faculty mindset as an indicator of communal affordances in STEM. Journal of Personality and Social Psychology, 117(2), 260-281. https://psycnet.apa.org/doi/10.1037/pspa0000154
Gonzalez-DeHass, A. R., Furner, J. M., Vásquez-Colina, M. D., & Morris, J. D. (2023). Undergraduate students’ math anxiety: the role of mindset, achievement goals, and parents. International Journal of Science and Mathematics Education, 1-20. https://doi.org/10.1007/s10763-023-10416-4
Gorleku, M., Brancaccio, S., & Campbell, J. R. (2018). Examining attributions and perceptions of family influences on the mindset of junior high school students in different socioeconomic settings in Ghana Africa. Journal for Leadership and Instruction, 17(2), 8-12. https://eric.ed.gov/?id=EJ1199678
Haq, I. U. (2021). Bio-Bibliometric Portrait of Dr. Tasawar Hayat, Distinguished Professor of Mathematics. Library Philosophy and Practice (e-journal), 4681, 1-13. https://bit.ly/4ciSzwP
Harzing, A. W., & Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison. Scientometrics, 106, 787-804. https://doi.org/10.1007/s11192-015-1798-9
Hong, R., Liu, H., Xiang, C., Song, Y., & Lv, C. (2020). Visualization and analysis of mapping knowledge domain of oxidation studies of sulfide ores. Environmental Science and Pollution Research, 27, 5809-5824. https://doi.org/10.1007/s11356-019-07226-z
Howard, L., & Whitaker, M. (2011). Unsuccessful and successful mathematics learning: Developmental students' perceptions. Journal of Developmental Education, 35(2), 2-16. https://bit.ly/3KTbUsx
Huang, X., Zhang, J., & Hudson, L. (2019). Impact of math self-efficacy, math anxiety, and growth mindset on math and science career interest for middle school students: the gender moderating effect. European Journal of Psychology of Education, 34, 621-640. https://doi.org/10.1007/s10212-018-0403-z
Hwang, N., Reyes, M., & Eccles, J. S. (2019). Who holds a fixed mindset and whom does it harm in mathematics?. Youth & Society, 51(2), 247-267. https://doi.org/10.1177/0044118X16670058
Karakus, M., Ersozlu, A., & Clark, A. C. (2019). Augmented Reality research in education: A bibliometric study. EURASIA Journal of Mathematics, Science and Technology Education, 15(10), 1-12. https://doi.org/10.29333/ejmste/103904
Kumar, M., George, R. J., & PS, A. (2023). Bibliometric analysis for medical research. Indian Journal of Psychological Medicine, 45(3), 277-282. https://doi.org/10.1177/02537176221103617
Lauermann, F., Tsai, Y. M., & Eccles, J. S. (2017). Math-related career aspirations and choices within Eccles et al.’s expectancy–value theory of achievement-related behaviors. Developmental psychology, 53(8), 1540. https://psycnet.apa.org/doi/10.1037/dev0000367
Laski, E. V., Reeves, T. D., Ganley, C. M., & Mitchell, R. (2013). Mathematics teacher educators' perceptions and use of cognitive research. Mind, Brain, and Education, 7(1), 63-74. https://doi.org/10.1111/mbe.12009
Liao, H., Tang, M., Luo, L., Li, C., Chiclana, F., & Zeng, X. J. (2018). A bibliometric analysis and visualization of medical big data research. Sustainability, 10(1), 166-188. https://doi.org/10.3390/su10010166
Limeri, L. B., Carter, N. T., Choe, J., Harper, H. G., Martin, H. R., Benton, A., & Dolan, E. L. (2020). Growing a growth mindset: Characterizing how and why undergraduate students’ mindsets change. International Journal of STEM Education, 7, 1-19. https://doi.org/10.1186/s40594-020-00227-2
Masalee, N., Ariratana, W., & Sirisooksilp, S. (2021). Developing factors and indicators of growth mindset for school administrators in Thailand. International Educational Research, 4(1), 61-70. https://doi.org/10.30560/ier.v4n1p61
Mas-Tur, A., Roig-Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M., Porter, A., & Merigó, J. M., (2021). Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change. Technological Forecasting and Social Change, 165(120487). https://doi.org/10.1016/j.techfore.2020.120487
Metu, C.A, Ugwuanyi, C.C, Nwoye, M.N., Odo, I.O.,& Nwachukwu, W.C. (2023). Unlocking students areas of difficulties in mathematics through the teachers creativity fostering behaviours. International Journal of Research and Innovation in Social Science (IJRISS), 7(9), 389–396. https://dx.doi.org/10.47772/IJRISS.2023.70932
McWilliam, R. (2017). Growth mindset: Engaging pupils, parents and staff. Headteacher Update, 2017(1), 46-47. https://doi.org/10.12968/htup.2017.1.46
Mielicki, M. K., Schiller, L. K., Fitzsimmons, C. J., Scheibe, D., & Thompson, C. A. (2022). Perceptions of ease and difficulty, but not growth mindset, relate to specific math attitudes. British Journal of Educational Psychology, 92(2), 707-729. https://doi.org/10.1111/bjep.12472
Nadzar, N. M. A. M., Bakri, A., & Ibrahim, R. (2017). A bibliometric mapping of Malaysian publication using co-word analysis. International Journal of Advances in Soft Computing and its Applications, 9(3), 90-113. https://bit.ly/3VUZmal
Naveed, M., Ali, N., Aslam, S., & Siddique, N. (2021). Research output of the library quarterly: A bibliometric analysis during 2010-2019. Library Philosophy and Practice, 1-15. https://digitalcommons.unl.edu/libphilprac/5377/
Newcombe, N. S., Ambady, N., Eccles, J., Gomez, L., Klahr, D., Linn, M., Miller, K. & Mix, K. (2009). Psychology’s role in mathematics and science education. American Psychologist, 64(6), 538-550. https://psycnet.apa.org/doi/10.1037/a0014813
Nix, S., Perez-Felkner, L., & Thomas, K. (2015). Perceived mathematical ability under challenge: A longitudinal perspective on sex segregation among STEM degree fields. Frontiers in Psychology, 6(132452). https://doi.org/10.3389/fpsyg.2015.00530
Norton, A., & Nurnberger-Haag, J. (2018). Bridging frameworks for understanding numerical cognition. Journal of Numerical Cognition, 4(1), 1-8. https://doi:10.5964/jnc.v4i1.160
Orr, A. M., & Kukner, J. M. (2015). Fostering a creativity mindset in content area pre-service teachers through their use of literacy strategies. Thinking Skills and Creativity, 16, 69-79. https://doi.org/10.1016/j.tsc.2015.02.003
Outhwaite, L. A., Faulder, M., Gulliford, A., & Pitchford, N. J. (2019). Raising early achievement in math with interactive apps: A randomized control trial. Journal of Educational Psychology, 111(2), 284-298. https://doi.org/10.1037/edu0000286
Parlina, A., Ramli, K., & Murf, H. (2020). Theme mapping and bibliometrics analysis of one decade of big data research in the Scopus database. Information, 11(2), 69. https://doi.org/10.3390/info11020069
Pennington, C. R., & Heim, D. (2016). Creating a critical mass eliminates the effects of stereotype threat on women's mathematical performance. British Journal of Educational Psychology, 86(3), 353-368. https://doi.org/10.1111/bjep.12110
Porter, T., Martinus, A., Ross, R., Cyster, C. F., & Trzesniewski, K. (2020). Changing learner beliefs in South African townships: An evaluation of a growth mindset intervention. Social Psychological and Personality Science, 11(7), 991-998. https://doi.org/10.1177/1948550620909738
Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12. https://doi.org/10.3390/publications9010012
Puusepp, I., Linnavalli, T., Tammi, T., Huotilainen, M., Kujala, T., Laine, S., Kuusisto, E. & Tirri, K. (2023). Development of associations between elementary school students’ mindsets and attentional neural processing of feedback in an arithmetic task. Frontiers in Psychology, 14(1155264). https://doi.org/10.3389/fpsyg.2023.1155264
Rodriguez-Rodriguez, I., Rodriguez, J. V., Shirvanizadeh, N., Ortiz, A., & Pardo-Quiles, D. J. (2021). Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic: A scientometric review using text mining. International Journal of Environmental Research and Public Health, 18(16). https://doi.org/10.3390/ijerph18168578
Seaton, F. S. (2018). Empowering teachers to implement a growth mindset. Educational Psychology in Practice, 34(1), 41-57. https://doi.org/10.1080/02667363.2017.1382333
Shen, Z., Wu, H., Chen, Z., Hu, J., Pan, J., Kong, J., & Lin, T. (2022). The global research of artificial intelligence on prostate cancer: A 22-year bibliometric analysis. Frontiers in Oncology, 12(843735). https://doi.org/10.3389/fonc.2022.843735
Steffe, L. P. (2017). Psychology in Mathematics Education: Past, present, and future. Plenary Papers, 27-56. https://eric.ed.gov/?id=ED581388
Sun, K. L. (2019). The mindset disconnect in mathematics teaching: A qualitative analysis of classroom instruction. The Journal of Mathematical Behavior, 56, 1-18. https://doi.org/10.1016/j.jmathb.2019.04.005
Vamvakoussi, X., Christou, K. P., & Vosniadou, S. (2018). Bridging psychological and educational research on rational number knowledge. Journal of Numerical Cognition, 4(1), 84-106. https://doi.org/10.5964/jnc.v4i1.82
Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
Van Eck, N. J., Waltman, L., Dekker, R., & Van Den Berg, J. (2010). A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS. Journal of the American Society for Information Science and Technology, 61(12), 2405-2416. https://doi.org/10.1002/asi.21421
Van Hoeve, M., Doorman, M., & Veldhuis, M. (2023). Fostering a growth mindset in secondary mathematics classrooms in the Netherlands. Research in Mathematics Education, 1-22, https://doi.org/10.1080/14794802.2023.2241433
Wani, N. S. (2023). Compassionate capitalism: An analysis of its trends and themes. International Journal of Financial Management and Economics, 6(1), 51-57. https://doi.org/10.33545/26179210.2023.v6.i1.167
Wigfield, A., Muenks, K., & Eccles, J. S. (2021). Achievement motivation: What we know and where we are going. Annual Review of Developmental Psychology, 3, 87-111. https://doi.org/10.1146/annurev-devpsych-050720-103500
Xu, X., Zhang, Q., Sun, J., & Wei, Y. (2022). A bibliometric review on latent topics and research trends in the growth mindset literature for mathematics education. Frontiers in Psychology, 13(1039761). https://doi.org/10.3389/fpsyg.2022.1039761
Yeager, D. S., & Dweck, C. S. (2020). What can be learned from growth mindset controversies? American psychologist, 75(9), 1269-1284. https://doi.org/10.1037/amp0000794
Yeager, D. S., Carroll, J. M., Buontempo, J., Cimpian, A., Woody, S., Crosnoe, R., Muller, C., Murray, J., Mhatre, P., Kersting, N., Hulleman, C., Kudym, M., Murphy, M., Duckworth, A. L., Walton, G. M., & Dweck, C. S. (2021). Teacher mindsets help explain where a growth-mindset intervention does and doesn’t work. Psychological Science, 33(1), 18-32. https://doi.org/10.1177/09567976211028984
Zhu, J., & Liu, W. (2020). A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics, 123(1), 321-335. https://doi.org/10.1007/s11192-020-03387-8
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