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The Effects of Differentiated Mathematics Instruction on the Academic and Attitudinal Outcomes of Gifted Students: A Meta-Analysis

Yıl 2025, Cilt: 13 Sayı: 26, 980 - 1007, 21.10.2025
https://doi.org/10.18009/jcer.1660375

Öz

This meta-analysis investigates the impact of differentiated mathematics instructions on gifted students’ academic achievement and attitudes. Such programs address advanced learning needs through curriculum compacting, acceleration, and enrichment. Synthesizing data from multiple studies, this analysis explores overall effectiveness, effects on attitudes, and moderating factors. Findings indicate positive effects on academic performance (effect size = 0.23) and attitudes toward mathematics (effect size = 0.34), though significant variability exists. Moderating factors included study origin and grade level; international and elementary-level studies showed greater academic gains, whereas high school students exhibited stronger improvements in attitudes. Results highlight the potential of differentiated instructions to support gifted learners academically and emotionally, emphasizing the importance of considering context, age groups, and cultural settings. The study calls for additional research into long-term impacts across diverse populations

Kaynakça

  • Antoun, M. (2022). Framing the education for gifted Lebanese and gifted refugees in Lebanon. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1077278
  • Asher, W. (2003). Meta-analysis and gifted education. Journal for the Education of the Gifted, 27, 7-19. https://doi.org/10.1177/016235320302700102
  • Assouline, S. G., Colangelo, N., VanTassel-Baska, J., & Shoplik, A. (2015). A nation empowered. Belin-Blank Center. https://www.accelerationinstitute.org/Nation_Empowered/Order/NationEmpowered_Vol2.pdf
  • Bal, A. (2016). The effect of the differentiated teaching approach in the algebraic learning field on students' academic achievements. Eurasian Journal of Educational Research, 16(63), 185-204. https://doi.org/10.14689/ejer.2016.63.11
  • Berman, N. G. ve Parker, R. A. (2002). Meta-analysis: Neither quick nor easy. BMC Medical Research Methodology, 2, 1-9. Bernstein, B. O., Lubinski, D., & Benbow, C. P. (2021). Academic acceleration in gifted youth and fruitless concerns regarding psychological well-being: A 35-year longitudinal study. Journal of Educational Psychology, 113(4), 830–845. Böttger, H. & Reid, E. (2015). Gifted education in various countries of Europe. Slavonic Pedagogical Studies Journal, 4(2), 158-171. https://doi.org/10.18355/pg.2015.4.2.158-171
  • Can, A. (2013). SPSS ile bilimsel araştırma sürecinde nicel veri analizi. [Quantitative data analysis in the scientific research process with SPSS]. Pegem Yayıncılık.
  • Çayir, A., & Balci, E. (2023). The effect of differentiated instruction on gifted students’ critical thinking skills and mathematics problem-solving attitudes. Educational Research and Reviews, 18(12), 392–398. https://doi.org/10.5897/ERR2023.4375
  • Cooper, H. (2017). Step 2: searching the literature. In Research synthesis and meta-analysis: A step-by-step approach (Fifth Edition ed., pp. 61-109). SAGE Publications.
  • Dada, O., & Akpan, S. M. (2019). Discriminant analysis of psycho-social predictors of mathematics achievement of gifted students in Nigeria. Journal for the Education of Gifted Young Scientists, 7(3), 581-594. https://doi.org/10.17478/jegys.605981
  • Diezmann, C. M., & Watters, J. J. (2000). Catering for mathematically gifted elementary students: Learning from challenging tasks. Gifted Child Today, 23(4), 14–19. https://doi.org/10.4219/gct-2000-737
  • Dinçer, S. (2014). Eğitim bilimlerinde uygulamalı meta analiz. Pegem Yayıncılık.
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Ellis, P. D. (2010). The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results. Cambridge University Press.
  • Fadlelmula, F. K. (2013). Attitudes of pre-service teachers towards teaching profession. Turkish Journal of Education, 2(4), 55-63.
  • Gadanidis, G., Hughes, J., & Cordy, M. (2011). Mathematics for gifted students in an arts- and technology-rich setting. Journal for the Education of the Gifted, 34(3), 397-433.
  • Gallagher, S. A., Stepien, W. J., & Rosenthal, H. (1992). The effects of problem-based learning on problem solving. Gifted Child Quarterly, 36(4), 195-200.
  • Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books.
  • Gavin, M. K., Casa, T. M., Adelson, J. L., Carroll, S. R., & Sheffield, L. J. (2009). The impact of advanced curriculum on the achievement of mathematically promising elementary students. Gifted Child Quarterly, 53(3), 188–202.
  • Gavin, M. K., Casa, T. M., Adelson, J. L., & Firmender, J. M. (2013). The impact of challenging geometry and measurement units on the achievement of grade 2 students. Journal for Research in Mathematics Education, 44(3), 478–509.
  • Haciömeroğlu, G. (2017). Reciprocal relationships between mathematics anxiety and attitude towards mathematics in elementary students. Acta Didactica Napocensia, 10(3), 59-68. https://doi.org/10.24193/adn.10.3.6
  • Hedges, L. V. (1981). Distribution theory for glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6(2), 107-128.
  • Hedges, L. V., & Pigott, T. D. (2004). The power of statistical tests for moderators in meta-analysis. Psychological Methods, 9(4), 426–445. https://doi.org/10.1037/1082-989X.9.4.426
  • Higgins, J. P. T. & Thompson, S. G. (2002). Quantifying heterogeneity in a meta analysis. Statistics in Medicine, 21, 1539-1558. https://doi.org/10.1002/sim.1186
  • Hockett, J. (2009). Curriculum for highly able learners that conforms to general education and gifted education quality indicators. Journal for the Education of the Gifted, 32(3), 394-440. https://doi.org/10.4219/jeg-2009-857
  • Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16, 235-266. Huedo-Medina, T. B., Sánchez Meca, J., Marín Martínez, F. ve Botella, J. (2006). Assessing heterogeneity in meta-analysis: Q statistic or I 2 index?. Psychological Methods, 11(2), 193-206. https://opencommons.uconn.edu/chip_docs/19
  • Kış, A., Demir, M., & Şad, S. (2016). A meta-analysis of the effect of contemporary learning approaches on students’ mathematics achievement. Hacettepe University Journal of Education, 1-1. https://doi.org/10.16986/huje.2016017222
  • Kuan, Y., Amat, S., & Mahmud, M. (2021). Overexcitabilities and psychological issues among gifted learners at higher education level. International Journal of Academic Research in Business and Social Sciences, 11(12). https://doi.org/10.6007/ijarbss/v11-i12/11763
  • Kul, Ü., Çelik, S., & Aksu, Z. (2018). The impact of educational material use on mathematics achievement: a meta-analysis. International Journal of Instruction, 11(4), 303-324.
  • Kulik, J. A. (2004). Meta-analytic studies of acceleration. A nation deceived: How schools hold back America’s Brightest Students, 2, 13-22. https://www.accelerationinstitute.org/Nation_Deceived/ND_v2.pdf
  • Kulik, J. A., & Kulik, C. C. (1984). Effects of accelerated instruction on students. Review of Educational Research, 54, 409-425. https://doi.org/10.3102/00346543054003409
  • Kulik, J. A., & Kulik, C. C. (1992). Meta-analytic findings on grouping programs. Gifted Child Quarterly, 36(2), 73–77. https://doi.org/10.1177/001698629203600204
  • Kurnaz, A. (2018). The correlation between gifted students' cost and task value perceptions towards mathematics: the mediating role of expectancy belief. Journal of Education and Training Studies, 6(8), 12-22. https://files.eric.ed.gov/fulltext/EJ1181951.pdf
  • Landrum, M. (2001). Resource consultation and collaboration in gifted education. Psychology in the Schools, 38(5), 457-466. https://doi.org/10.1002/pits.1034
  • Leana-Tascilar, M., Özyaprak, M., & Yilmaz, Ö. (2016). An online training program for gifted children's parents in Turkey. Eurasian Journal of Educational Research, 16(65), 1-35.
  • Leikin, R. (2011). The education of mathematically gifted students: Some complexities and questions. The Mathematics Enthusiast, 8(1–2), 167–188.
  • Leikin, R. (2021). When practice needs more research: The nature and nurture of mathematical giftedness. ZDM–Mathematics Education, 53, 1579–1589. https://doi.org/10.1007/s11858-021-01276-9
  • Lou, Y., Abrami, P. C., Spence, J. C., Poulsen, C., Chambers, B., & d’Apollonia, S. (1996). Within-class grouping: A meta-analysis. Review of Educational Research, 66(4), 423–458.
  • Maker, C. J. (1982). Teaching models in education of the gifted. Aspen Systems.
  • Mergendoller, J. R., Maxwell, N. L., & Bellisimo, Y. (2006). The effectiveness of problem-based instruction: A comparative study of instructional methods and student characteristics. Interdisciplinary Journal of Problem-Based Learning, 1(2), 49–69.
  • Mohd, S., Kaco, H., Idris, F., Ahmad, R., Spawi, M., & Theis, N. (2022). Muslim gifted and talented curriculum: a design of framework. International Journal of Academic Research in Progressive Education and Development, 11(2).
  • National Association for Gifted Children. (2019). Pre-K–Grade 12 gifted education programming standards (2nd ed.). National Association for Gifted Children. https://assets.noviams.com/novi-file-uploads/nagc/pdfs-and-documents/nagc_2019_prek-grade_12_gift.pdf
  • Nicholas, M., Skourdoumbis, A., & Bradbury, O. (2024). Meeting the needs and potentials of high-ability, high-performing, and gifted students via differentiation. Gifted Child Quarterly, 68(2), 154–172. https://doi.org/10.1177/00169862231222225
  • Organisation for Economic Co-operation and Development. (2020). A literature review on the policy approaches and initiatives for the inclusion of gifted students in OECD countries (EDU/EDPC/RD(2020)4). OECD. https://one.oecd.org/document/EDU/EDPC/RD(2020)4/En/pdf
  • Oğurlu, U. (2021). Overview of meta-analyses on giftedness. Gifted and Talented International, 35(2), 110–127. https://doi.org/10.1080/15332276.2021.1893135
  • Plucker, J. A., & Callahan, C. M. (2014). Research on giftedness and gifted education: status of the field and considerations for the future. Exceptional Children, 80(4), 390-406. https://doi.org/10.1177/0014402914527244
  • Redding, C., & Grissom, J. A. (2021). Do students in gifted programs perform better? Linking gifted program participation to achievement and nonachievement outcomes. Educational Evaluation and Policy Analysis, 43(3), 520–544.
  • Reis, S. M., & Boeve, H. (2009). How academically gifted elementary, urban students respond to challenge in an enriched, differentiated reading program. Journal for the Education of the Gifted, 33(2), 203-240. https://doi.org/10.1177/016235320903300204
  • Reis, S. M., & Renzulli, J. S. (1992). Using curriculum compacting to challenge the above-average. Educational Leadership, 50(2), 51–57.
  • Reis, S. M., Westberg, K. L., Kulikowich, J. M., & Purcell, J. H. (1993). Why not let high ability students start school in January? The curriculum compacting study. https://files.eric.ed.gov/fulltext/ED379847.pdf
  • Renzulli, J. S., & Reis, S. M. (2010). The schoolwide enrichment model: A focus on student strengths and interests. Gifted Education International, 26(2–3). https://doi.org/10.1177/026142941002600303
  • Rosenthal, R. (1991). Meta-analytic procedures for social research. Sage.
  • Russell, J. (2018). High school teachers’ perceptions of giftedness, gifted education, and talent development. Journal of Advanced Academics, 29(4), 275-303.
  • Shore, B. (2021). Context matters in gifted education. Education Sciences, 11(8), 424. https://doi.org/10.3390/educsci11080424
  • Smedsrud, J. H. (2022). Mathematically gifted students’ experience with their teachers’ mathematical competence and boredom in school: A qualitative interview study. Frontiers in Psychology, 13, 876350. https://doi.org/10.3389/fpsyg.2022.876350
  • Sriraman, B. (2003). Mathematical giftedness, problem solving, and the ability to formulate generalizations: The problem-solving experiences of four gifted students. Journal of Secondary Gifted Education, 14(3), 151–165. https://doi.org/10.4219/jsge-2003-425
  • Steenbergen-Hu, S. & Moon, S. M. (2011). The effects of acceleration on high-ability learners: A meta-analysis. Gifted Child Quarterly, 55(1), 39-53.
  • Sternberg, R. J. (Ed.). (2000). Handbook of intelligence. Cambridge University Press.
  • Stott, A. & Hobden, P. (2015). Effective learning. Gifted Child Quarterly, 60(1), 63-74.
  • Szabo, A. (2024). Displaying gifted students’ mathematical reasoning during problem solving: Challenges and possibilities. The Mathematics Enthusiast, 21(1), 207–230.
  • Tomlinson, C. A. (2014). The Differentiated Classroom. Responding to the Needs of All Learrners, 2nd Edn. ASCD.
  • VanTassel-Baska, J., & Hubbard, G. F. (2016). Classroom-based strategies for advanced learners in rural settings. Journal of Advanced Academics, 27(4), 285-310.
  • Warner, R. M. (2008). Applied statistics: From bivariate through multivariate techniques. Sage Publications.
  • Whiston, S., Tai, W., Rahardja, D., & Eder, K. (2011). School counseling outcome: a meta‐analytic examination of interventions. Journal of Counseling & Development, 89(1), 37-55. https://doi.org/10.1002/j.1556-6678.2011.tb00059.x
  • Yıldız, M. Ş., & Yaman, Y. (2024). Digital gamification-based instruction for gifted seventh-graders: Effects on attitudes toward mathematics and anxiety. Journal of Learning and Teaching in Digital Age, 9(1), 40–49. https://doi.org/10.53850/joltida.1255991

The Effects of Differentiated Mathematics Instruction on the Academic and Attitudinal Outcomes of Gifted Students: A Meta-Analysis

Yıl 2025, Cilt: 13 Sayı: 26, 980 - 1007, 21.10.2025
https://doi.org/10.18009/jcer.1660375

Öz

This meta-analysis investigates the impact of differentiated mathematics instructions on gifted students’ academic achievement and attitudes. Such programs address advanced learning needs through curriculum compacting, acceleration, and enrichment. Synthesizing data from multiple studies, this analysis explores overall effectiveness, effects on attitudes, and moderating factors. Findings indicate positive effects on academic performance (effect size = 0.23) and attitudes toward mathematics (effect size = 0.34), though significant variability exists. Moderating factors included study origin and grade level; international and elementary-level studies showed greater academic gains, whereas high school students exhibited stronger improvements in attitudes. Results highlight the potential of differentiated instructions to support gifted learners academically and emotionally, emphasizing the importance of considering context, age groups, and cultural settings. The study calls for additional research into long-term impacts across diverse populations

Etik Beyan

Due to the scope and method of the study, ethics committee permission was not required.

Kaynakça

  • Antoun, M. (2022). Framing the education for gifted Lebanese and gifted refugees in Lebanon. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.1077278
  • Asher, W. (2003). Meta-analysis and gifted education. Journal for the Education of the Gifted, 27, 7-19. https://doi.org/10.1177/016235320302700102
  • Assouline, S. G., Colangelo, N., VanTassel-Baska, J., & Shoplik, A. (2015). A nation empowered. Belin-Blank Center. https://www.accelerationinstitute.org/Nation_Empowered/Order/NationEmpowered_Vol2.pdf
  • Bal, A. (2016). The effect of the differentiated teaching approach in the algebraic learning field on students' academic achievements. Eurasian Journal of Educational Research, 16(63), 185-204. https://doi.org/10.14689/ejer.2016.63.11
  • Berman, N. G. ve Parker, R. A. (2002). Meta-analysis: Neither quick nor easy. BMC Medical Research Methodology, 2, 1-9. Bernstein, B. O., Lubinski, D., & Benbow, C. P. (2021). Academic acceleration in gifted youth and fruitless concerns regarding psychological well-being: A 35-year longitudinal study. Journal of Educational Psychology, 113(4), 830–845. Böttger, H. & Reid, E. (2015). Gifted education in various countries of Europe. Slavonic Pedagogical Studies Journal, 4(2), 158-171. https://doi.org/10.18355/pg.2015.4.2.158-171
  • Can, A. (2013). SPSS ile bilimsel araştırma sürecinde nicel veri analizi. [Quantitative data analysis in the scientific research process with SPSS]. Pegem Yayıncılık.
  • Çayir, A., & Balci, E. (2023). The effect of differentiated instruction on gifted students’ critical thinking skills and mathematics problem-solving attitudes. Educational Research and Reviews, 18(12), 392–398. https://doi.org/10.5897/ERR2023.4375
  • Cooper, H. (2017). Step 2: searching the literature. In Research synthesis and meta-analysis: A step-by-step approach (Fifth Edition ed., pp. 61-109). SAGE Publications.
  • Dada, O., & Akpan, S. M. (2019). Discriminant analysis of psycho-social predictors of mathematics achievement of gifted students in Nigeria. Journal for the Education of Gifted Young Scientists, 7(3), 581-594. https://doi.org/10.17478/jegys.605981
  • Diezmann, C. M., & Watters, J. J. (2000). Catering for mathematically gifted elementary students: Learning from challenging tasks. Gifted Child Today, 23(4), 14–19. https://doi.org/10.4219/gct-2000-737
  • Dinçer, S. (2014). Eğitim bilimlerinde uygulamalı meta analiz. Pegem Yayıncılık.
  • Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109–132. https://doi.org/10.1146/annurev.psych.53.100901.135153
  • Ellis, P. D. (2010). The essential guide to effect sizes: Statistical power, meta-analysis, and the interpretation of research results. Cambridge University Press.
  • Fadlelmula, F. K. (2013). Attitudes of pre-service teachers towards teaching profession. Turkish Journal of Education, 2(4), 55-63.
  • Gadanidis, G., Hughes, J., & Cordy, M. (2011). Mathematics for gifted students in an arts- and technology-rich setting. Journal for the Education of the Gifted, 34(3), 397-433.
  • Gallagher, S. A., Stepien, W. J., & Rosenthal, H. (1992). The effects of problem-based learning on problem solving. Gifted Child Quarterly, 36(4), 195-200.
  • Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books.
  • Gavin, M. K., Casa, T. M., Adelson, J. L., Carroll, S. R., & Sheffield, L. J. (2009). The impact of advanced curriculum on the achievement of mathematically promising elementary students. Gifted Child Quarterly, 53(3), 188–202.
  • Gavin, M. K., Casa, T. M., Adelson, J. L., & Firmender, J. M. (2013). The impact of challenging geometry and measurement units on the achievement of grade 2 students. Journal for Research in Mathematics Education, 44(3), 478–509.
  • Haciömeroğlu, G. (2017). Reciprocal relationships between mathematics anxiety and attitude towards mathematics in elementary students. Acta Didactica Napocensia, 10(3), 59-68. https://doi.org/10.24193/adn.10.3.6
  • Hedges, L. V. (1981). Distribution theory for glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6(2), 107-128.
  • Hedges, L. V., & Pigott, T. D. (2004). The power of statistical tests for moderators in meta-analysis. Psychological Methods, 9(4), 426–445. https://doi.org/10.1037/1082-989X.9.4.426
  • Higgins, J. P. T. & Thompson, S. G. (2002). Quantifying heterogeneity in a meta analysis. Statistics in Medicine, 21, 1539-1558. https://doi.org/10.1002/sim.1186
  • Hockett, J. (2009). Curriculum for highly able learners that conforms to general education and gifted education quality indicators. Journal for the Education of the Gifted, 32(3), 394-440. https://doi.org/10.4219/jeg-2009-857
  • Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16, 235-266. Huedo-Medina, T. B., Sánchez Meca, J., Marín Martínez, F. ve Botella, J. (2006). Assessing heterogeneity in meta-analysis: Q statistic or I 2 index?. Psychological Methods, 11(2), 193-206. https://opencommons.uconn.edu/chip_docs/19
  • Kış, A., Demir, M., & Şad, S. (2016). A meta-analysis of the effect of contemporary learning approaches on students’ mathematics achievement. Hacettepe University Journal of Education, 1-1. https://doi.org/10.16986/huje.2016017222
  • Kuan, Y., Amat, S., & Mahmud, M. (2021). Overexcitabilities and psychological issues among gifted learners at higher education level. International Journal of Academic Research in Business and Social Sciences, 11(12). https://doi.org/10.6007/ijarbss/v11-i12/11763
  • Kul, Ü., Çelik, S., & Aksu, Z. (2018). The impact of educational material use on mathematics achievement: a meta-analysis. International Journal of Instruction, 11(4), 303-324.
  • Kulik, J. A. (2004). Meta-analytic studies of acceleration. A nation deceived: How schools hold back America’s Brightest Students, 2, 13-22. https://www.accelerationinstitute.org/Nation_Deceived/ND_v2.pdf
  • Kulik, J. A., & Kulik, C. C. (1984). Effects of accelerated instruction on students. Review of Educational Research, 54, 409-425. https://doi.org/10.3102/00346543054003409
  • Kulik, J. A., & Kulik, C. C. (1992). Meta-analytic findings on grouping programs. Gifted Child Quarterly, 36(2), 73–77. https://doi.org/10.1177/001698629203600204
  • Kurnaz, A. (2018). The correlation between gifted students' cost and task value perceptions towards mathematics: the mediating role of expectancy belief. Journal of Education and Training Studies, 6(8), 12-22. https://files.eric.ed.gov/fulltext/EJ1181951.pdf
  • Landrum, M. (2001). Resource consultation and collaboration in gifted education. Psychology in the Schools, 38(5), 457-466. https://doi.org/10.1002/pits.1034
  • Leana-Tascilar, M., Özyaprak, M., & Yilmaz, Ö. (2016). An online training program for gifted children's parents in Turkey. Eurasian Journal of Educational Research, 16(65), 1-35.
  • Leikin, R. (2011). The education of mathematically gifted students: Some complexities and questions. The Mathematics Enthusiast, 8(1–2), 167–188.
  • Leikin, R. (2021). When practice needs more research: The nature and nurture of mathematical giftedness. ZDM–Mathematics Education, 53, 1579–1589. https://doi.org/10.1007/s11858-021-01276-9
  • Lou, Y., Abrami, P. C., Spence, J. C., Poulsen, C., Chambers, B., & d’Apollonia, S. (1996). Within-class grouping: A meta-analysis. Review of Educational Research, 66(4), 423–458.
  • Maker, C. J. (1982). Teaching models in education of the gifted. Aspen Systems.
  • Mergendoller, J. R., Maxwell, N. L., & Bellisimo, Y. (2006). The effectiveness of problem-based instruction: A comparative study of instructional methods and student characteristics. Interdisciplinary Journal of Problem-Based Learning, 1(2), 49–69.
  • Mohd, S., Kaco, H., Idris, F., Ahmad, R., Spawi, M., & Theis, N. (2022). Muslim gifted and talented curriculum: a design of framework. International Journal of Academic Research in Progressive Education and Development, 11(2).
  • National Association for Gifted Children. (2019). Pre-K–Grade 12 gifted education programming standards (2nd ed.). National Association for Gifted Children. https://assets.noviams.com/novi-file-uploads/nagc/pdfs-and-documents/nagc_2019_prek-grade_12_gift.pdf
  • Nicholas, M., Skourdoumbis, A., & Bradbury, O. (2024). Meeting the needs and potentials of high-ability, high-performing, and gifted students via differentiation. Gifted Child Quarterly, 68(2), 154–172. https://doi.org/10.1177/00169862231222225
  • Organisation for Economic Co-operation and Development. (2020). A literature review on the policy approaches and initiatives for the inclusion of gifted students in OECD countries (EDU/EDPC/RD(2020)4). OECD. https://one.oecd.org/document/EDU/EDPC/RD(2020)4/En/pdf
  • Oğurlu, U. (2021). Overview of meta-analyses on giftedness. Gifted and Talented International, 35(2), 110–127. https://doi.org/10.1080/15332276.2021.1893135
  • Plucker, J. A., & Callahan, C. M. (2014). Research on giftedness and gifted education: status of the field and considerations for the future. Exceptional Children, 80(4), 390-406. https://doi.org/10.1177/0014402914527244
  • Redding, C., & Grissom, J. A. (2021). Do students in gifted programs perform better? Linking gifted program participation to achievement and nonachievement outcomes. Educational Evaluation and Policy Analysis, 43(3), 520–544.
  • Reis, S. M., & Boeve, H. (2009). How academically gifted elementary, urban students respond to challenge in an enriched, differentiated reading program. Journal for the Education of the Gifted, 33(2), 203-240. https://doi.org/10.1177/016235320903300204
  • Reis, S. M., & Renzulli, J. S. (1992). Using curriculum compacting to challenge the above-average. Educational Leadership, 50(2), 51–57.
  • Reis, S. M., Westberg, K. L., Kulikowich, J. M., & Purcell, J. H. (1993). Why not let high ability students start school in January? The curriculum compacting study. https://files.eric.ed.gov/fulltext/ED379847.pdf
  • Renzulli, J. S., & Reis, S. M. (2010). The schoolwide enrichment model: A focus on student strengths and interests. Gifted Education International, 26(2–3). https://doi.org/10.1177/026142941002600303
  • Rosenthal, R. (1991). Meta-analytic procedures for social research. Sage.
  • Russell, J. (2018). High school teachers’ perceptions of giftedness, gifted education, and talent development. Journal of Advanced Academics, 29(4), 275-303.
  • Shore, B. (2021). Context matters in gifted education. Education Sciences, 11(8), 424. https://doi.org/10.3390/educsci11080424
  • Smedsrud, J. H. (2022). Mathematically gifted students’ experience with their teachers’ mathematical competence and boredom in school: A qualitative interview study. Frontiers in Psychology, 13, 876350. https://doi.org/10.3389/fpsyg.2022.876350
  • Sriraman, B. (2003). Mathematical giftedness, problem solving, and the ability to formulate generalizations: The problem-solving experiences of four gifted students. Journal of Secondary Gifted Education, 14(3), 151–165. https://doi.org/10.4219/jsge-2003-425
  • Steenbergen-Hu, S. & Moon, S. M. (2011). The effects of acceleration on high-ability learners: A meta-analysis. Gifted Child Quarterly, 55(1), 39-53.
  • Sternberg, R. J. (Ed.). (2000). Handbook of intelligence. Cambridge University Press.
  • Stott, A. & Hobden, P. (2015). Effective learning. Gifted Child Quarterly, 60(1), 63-74.
  • Szabo, A. (2024). Displaying gifted students’ mathematical reasoning during problem solving: Challenges and possibilities. The Mathematics Enthusiast, 21(1), 207–230.
  • Tomlinson, C. A. (2014). The Differentiated Classroom. Responding to the Needs of All Learrners, 2nd Edn. ASCD.
  • VanTassel-Baska, J., & Hubbard, G. F. (2016). Classroom-based strategies for advanced learners in rural settings. Journal of Advanced Academics, 27(4), 285-310.
  • Warner, R. M. (2008). Applied statistics: From bivariate through multivariate techniques. Sage Publications.
  • Whiston, S., Tai, W., Rahardja, D., & Eder, K. (2011). School counseling outcome: a meta‐analytic examination of interventions. Journal of Counseling & Development, 89(1), 37-55. https://doi.org/10.1002/j.1556-6678.2011.tb00059.x
  • Yıldız, M. Ş., & Yaman, Y. (2024). Digital gamification-based instruction for gifted seventh-graders: Effects on attitudes toward mathematics and anxiety. Journal of Learning and Teaching in Digital Age, 9(1), 40–49. https://doi.org/10.53850/joltida.1255991
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Matematik Eğitimi, Özel Yetenekli Eğitimi
Bölüm Araştırma Makalesi
Yazarlar

Şule Şahin Doğruer 0000-0002-6663-5370

Erken Görünüm Tarihi 14 Eylül 2025
Yayımlanma Tarihi 21 Ekim 2025
Gönderilme Tarihi 18 Mart 2025
Kabul Tarihi 12 Eylül 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 13 Sayı: 26

Kaynak Göster

APA Şahin Doğruer, Ş. (2025). The Effects of Differentiated Mathematics Instruction on the Academic and Attitudinal Outcomes of Gifted Students: A Meta-Analysis. Journal of Computer and Education Research, 13(26), 980-1007. https://doi.org/10.18009/jcer.1660375

Creative Commons Lisansı


Bu eser Creative Commons Atıf 4.0 Uluslararası Lisansı ile lisanslanmıştır.


Değerli Yazarlar,

JCER dergisi 2018 yılından itibaren yayımlanacak sayılarda yazarlarından ORCID bilgilerini isteyecektir. Bu konuda hassasiyet göstermeniz önemle rica olunur.

Önemli: "Yazar adından yapılan yayın/atıf taramalarında isim benzerlikleri, soyadı değişikliği, Türkçe harf içeren isimler, farklı yazımlar, kurum değişiklikleri gibi durumlar sorun oluşturabilmektedir. Bu nedenle araştırmacıların tanımlayıcı kimlik/numara (ID) edinmeleri önem taşımaktadır. ULAKBİM TR Dizin sistemlerinde tanımlayıcı ID bilgilerine yer verilecektir.

Standardizasyonun sağlanabilmesi ve YÖK ile birlikte yürütülecek ortak çalışmalarda ORCID kullanılacağı için, TR Dizin’de yer alan veya yer almak üzere başvuran dergilerin, yazarlardan ORCID bilgilerini talep etmeleri ve dergide/makalelerde bu bilgiye yer vermeleri tavsiye edilmektedir. ORCID, Open Researcher ve Contributor ID'nin kısaltmasıdır.  ORCID, Uluslararası Standart Ad Tanımlayıcı (ISNI) olarak da bilinen ISO Standardı (ISO 27729) ile uyumlu 16 haneli bir numaralı bir URI'dir. http://orcid.org adresinden bireysel ORCID için ücretsiz kayıt oluşturabilirsiniz. "