Mathematics achievement emotions: Global trend, emotional treatment, and directions for future research

Suparman Suparman, Dadang Juandi

Abstract


Background: The development of studies related to achievement emotions in mathematics learning has been increasingly grown in two last decades. Achievement emotions is one of significant predictors for students’ mathematics achievement. Nevertheless, to date no publications have been found that particularly review studies regarding mathematics achievement emotions.

Aim: Present study highlights global trend of studies in mathematics achievement emotion for future research and examines the effect of emotional treatment on achievement emotions in mathematics across treatment type, treatment duration, and emotional type.

Method: A systematic review using bibliometric analysis and meta-analysis was applied to do this study in which 223 documents from Scopus database published in the period of 2004 – 2023 were used as the data. To analyze the data, this study was promoted by some software, such as PoP, VOSviewer, and CMA.

Result: Results revealed that global trends of studies regarding mathematics achievement emotions describe that number of publications slightly increased while number of citations relatively fluctuated from 2004 to 2023. There were several main themes which emerged in two last decades related to mathematics achievement emotions, such as emotional type, emotional treatment, activities-and outcomes-related emotion, mathematics content, and factors-related emotion. Moreover, emotional treatments slightly increased students’ positive emotions and decreased students’ negative emotions.

Conclusion: This implies that the stability of mathematics achievement emotions of students in doing mathematics activities has to be generated to promote students’ mathematics achievement in which a few of emotional treatments, such as psychological therapies and web-based learning can be applied to stabilize students’ mathematics achievement emotions.


Keywords


Achievement Emotions; Bibliometrics; Emotional Treatments; Mathematics; Meta-Analysis; Systematic Review

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References


Adigun, O. T., Kent, C. D., Khanare, F., & Matsie, N. (2024). The effects of rational emotive behavioural and relaxation therapies on mathematics anxiety among deaf learners. Journal of Research in Special Educational Needs, 24(1), 94–107. https://doi.org/10.1111/1471-3802.12615

Basarkod, G., Marsh, H. W., Guo, J., Parker, P., Dicke, T., & Pekrun, R. (2023). The Happy-Fish-Little-Pond Effect on Enjoyment: Generalizability Across Multiple Domains and Countries. Learning and Instruction, 85, 1–45. https://doi.org/https://doi.org/10.1016/j.learninstruc.2023.101733

Bekker, C. I., Rothmann, S., & Kloppers, M. M. (2023). The happy learner: Effects of academic boredom, burnout, and engagement. Frontiers in Psychology, 13, 1–14. https://doi.org/10.3389/fpsyg.2022.974486

Bieleke, M., Goetz, T., Krannich, M., Roos, A.-L., & Yanagida, T. (2021). Starting tests with easy versus difficult tasks; Effect on appraisals and emotions. The Journal of Experimental Education, 91(2), 317–335. https://doi.org/https://doi.org/10.1080/00220973.2021.1947764

Bieleke, M., Goetz, T., Yanagida, T., Botes, E., Frenzel, A. C., & Pekrun, R. (2023). Measuring emotions in mathematics: the Achievement Emotions Questionnaire—Mathematics (AEQ-M). ZDM - Mathematics Education, 55(2), 269–284. https://doi.org/10.1007/s11858-022-01425-8

Broda, M. D., Ross, E., Sorhagen, N., & Ekholm, E. (2023). Exploring control-value motivational profiles of mathematics anxiety, self-concept, and interest in adolescents. Frontiers in Psychology, 14, 1–12. https://doi.org/10.3389/fpsyg.2023.1140924

Camacho-Morles, J., Slemp, G. R., Pekrun, R., Loderer, K., Hou, H., & Oades, L. G. (2021). Activity achievement emotions and academic performance: A meta-analysis. Educational Psychology Review, 33(3), 1051–1095.

Cerniglia, L., Cimino, S., & Ammaniti, M. (2021). What are the effects of screen time on emotion regulation and academic achievements? A three-wave longitudinal study on children from 4 to 8 years of age. Journal of Early Childhood Research, 19(2), 145–160. https://doi.org/10.1177/1476718X20969846

Chen, X., & Lu, L. (2022). How classroom management and instructional clarity relate to students’ academic emotions in Hong Kong and England: A multi-group analysis based on the control-value theory. Learning and Individual Differences, 98, 1–11. https://doi.org/10.1016/j.lindif.2022.102183

Chu, H. C., Tsai, W. W. J., Liao, M. J., Chen, Y. M., & Chen, J. Y. (2020). Supporting e-learning with emotion regulation for students with autism spectrum disorder. Educational Technology and Society, 23(4), 124–146.

Cohen, L., Manion, L., & Morrison, K. (2018). Research Methods in Education (8th ed.). Routledge Taylor & Francis Group.

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(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070

Fuad, M., Suyanto, E., Muhammad, U. A., & Suparman. (2023). Indonesian students’ reading literacy ability in the cooperative integrated reading and composition learning: A meta-analysis. International Journal of Evaluation and Research in Education, 12(4), 2121–2129. https://doi.org/10.11591/ijere.v12i4.25171

Fuad, M., Suyanto, E., Sumarno, Muhammad, U. A., & Suparman. (2022). A bibliometric analysis of technology-based foreign language learning during the COVID-19 pandemic : Direction for Indonesia language learning. International Journal of Information and Education Technology, 12(10), 983–995. https://doi.org/10.18178/ijiet.2022.12.10.1710

Fuadi, D. S., Suparman, S., Juandi, D., & Avip Priatna Martadiputra, B. (2021). Technology-assisted problem-based learning against common problem-based learning in cultivating mathematical critical thinking skills: A meta-analysis. ACM International Conference Proceeding Series, 162–168. https://doi.org/10.1145/3510309.3510335

Gildehaus, L., & Jenßen, L. (2023). Replication of a positive psychology intervention to reduce mathematics related shame. Proceedings of the International Group for the Psychology of Mathematics Education, 2, 371–378.

Gur, T., Balta, N., Dauletkulova, A., Assanbayeva, G., & Fernández-Cézar, R. (2023). Mathematics achievement emotions of high school students in Kazakhstan. Journal on Mathematics Education, 14(3), 525–544. https://doi.org/10.22342/jme.v14i3.pp525-544

Helsa, Y., Suparman, Juandi, D., Turmudi, & Ghazali, M. B. (2023). A meta-analysis of the utilization of computer technology in enhancing computational thinking skills: Direction for mathematics learning. International Journal of Instruction, 16(2), 735–758. https://doi.org/10.29333/iji.2023.16239a

Huang, C. (2011). Achievement goals and achievement emotions: A meta-analysis. Educational Psychology Review, 23(3), 359–388. https://doi.org/10.1007/s10648-011-9155-x

Jaya, A., & Suparman, S. (2021). The use of CABRI software in mathematics learning for cultivating geometrical conceptual understanding: A meta-analysis. ACM International Conference Proceeding Series, 37–44. https://doi.org/10.1145/3510309.3510316

Jenßen, L. (2023). “Name three good things about yourself in mathematics” – An intervention to reduce pre-service teachers’ shame in mathematics. International Journal of Applied Positive Psychology, 34(1), 1-2-. https://doi.org/10.1007/s41042-023-00120-7

Juandi, D., Suparman, Martadiputra, B. A. P., Tamur, M., & Hasanah, A. (2022). Does mathematics domain cause the heterogeneity of students ’ mathematical critical thinking skills through problem- based learning ? A meta-analysis Does Mathematics Domain Cause the Heterogeneity of Students ’ Mathematical Critical Thinking Skills throu. AIP Conference Proceedings, 070028(December), 1–8. https://doi.org/https://doi.org/10.1063/5.0102714

Juandi, D., Tamur, M., Martadiputra, B. A. P., Suparman, & Kurnila, V. S. (2022). A meta-analysis of a year of virtual-based learning amidst the COVID-19 crisis: Possible solutions or problems? AIP Conference Proceedings, 2468, 1–7. https://doi.org/10.1063/5.0102715

Juandi, D., Tamur, M., & Suparman. (2023). Formulating Best Practices for Digital Game-Based. MSCEIS 2021, 090003(May), 1–8.

Kahl, T., Grob, A., & Möhring, W. (2021). Does emotion regulation compensate deficits in various executive functions in children’s and adolescents’ mathematical achievement? Learning and Individual Differences, 89, 1–9. https://doi.org/10.1016/j.lindif.2021.102034

Kim, C. M., & Hodges, C. B. (2012). Effects of an emotion control treatment on academic emotions, motivation and achievement in an online mathematics course. Instructional Science, 40(1), 173–192. https://doi.org/10.1007/s11251-011-9165-6

Lei, H., Wang, C., Chiu, M. M., & Chen, S. (2022). Do educational games affect students’ achievement emotions? Evidence from a meta-analysis. Journal of Computer Assisted Learning, 38(4), 946–959. https://doi.org/10.30906/0869-2092-2018-81-5s-50-50

Lichtenfeld, S., Pekrun, R., Marsh, H. W., & Nett, U. E. (2023). Achievement emotions and elementary school children’s academic performance: Longitudinal models of developmental ordering. Journal of Educational Psychology, 115(4), 552–570. https://doi.org/https://psycnet.apa.org/doi/10.1037/edu0000748

Liverani, M. C., Kalogirou, E., Rivier, C., & Gentaz, E. (2023). Effects of two types of numerical problems on the emotions experienced in adults and in 9-year-old children. PLoS ONE, 18(11), 1–14. https://doi.org/10.1371/journal.pone.0289027

Loderer, K., Pekrun, R., & Lester, J. C. (2020). Beyond cold technology: A systematic review and meta-analysis on emotions in technology-based learning environments. Learning and Instruction, 70, 1–15. https://doi.org/10.1016/j.learninstruc.2018.08.002

Mata, L., Monteiro, V., Peixoto, F., Santos, N. N., Sanches, C., & Gomes, M. (2022). Emotional profiles regarding maths among primary school children – A two-year longitudinal study. European Journal of Psychology of Education, 37(2), 391–415. https://doi.org/10.1007/s10212-020-00527-9

Moustakas, D., & Gonida, E. (2023). Motivational profiles of high achievers in mathematics: relations with metacognitive processes and achievement emotions. Education Sciences, 13(10), 1–21. https://doi.org/10.3390/educsci13100970

Passolunghi, M. C., De Vita, C., & Pellizzoni, S. (2020). Math anxiety and math achievement: The effects of emotional and math strategy training. Developmental Science, 23(6), 1–26. https://doi.org/10.1111/desc.12964

Pekrun, R. (2016). Academic emotions. In Handbook of motivation at school (pp. 1–532). Routledge Taylor & Francis Group. https://doi.org/10.4324/9781315773384

Pekrun, R., & Linnenbrink-Garcia, L. (2012). Academic emotions and student engagement. In Handbook of Research on Student Engagement (pp. 1–840). Springer International Publishing. https://doi.org/10.1007/978-1-4614-2018-7

Pekrun, R., & Stephens, E. J. (2012). Academic emotions. In APA educational psychology handbook (pp. 3–31). American Psychological Association. https://doi.org/10.1037/13274-001

Putra, F. G., Lengkana, D., Sutiarso, S., Nurhanurawati, Saregar, A., Diani, R., Widyawati, S., Suparman, Imama, K., & Umam, R. (2024). Mathematical representation: a bibliometric mapping of the research literature (2013 – 2022). Infinity: Journal of Mathematics Education, 13(1), 1–26. https://doi.org/https://doi.org/10.22460/infinity.v13i1.p1-26

Putwain, D. W., Schmitz, E. A., Wood, P., & Pekrun, R. (2021). The role of achievement emotions in primary school mathematics: Control–value antecedents and achievement outcomes. British Journal of Educational Psychology, 91(1), 347–367. https://doi.org/10.1111/bjep.12367

Putwain, D. W., & Wood, P. (2023). Anxiety in the mathematics classroom: reciprocal relations with control and value, and relations with subsequent achievement. ZDM - Mathematics Education, 55(2), 285–298. https://doi.org/10.1007/s11858-022-01390-2

Raccanello, D., Brondino, M., Trifiletti, E., & Shamloo, S. E. (2020). Emotions at primary school: Negative achievement emotions and their relation with emotional competencies in ethnic minority and majority students. Journal of Community and Applied Social Psychology, 30(4), 441–458. https://doi.org/10.1002/casp.2451

Sachisthal, M. S. M., Raijmakers, M. E. J., & Jansen, B. R. J. (2021). Trait and state math EAP (emotion, appraisals and performance) profiles of Dutch teenagers. Learning and Individual Differences, 89, 1–13. https://doi.org/10.1016/j.lindif.2021.102029

Schukajlow, S., Blomberg, J., Rellensmann, J., & Leopold, C. (2021). Do emotions and prior performance facilitate the use of the learner-generated drawing strategy? Effects of enjoyment, anxiety, and intramathematical performance on the use of the drawing strategy and modelling performance. Contemporary Educational Psychology, 65, 1–11. https://doi.org/10.1016/j.cedpsych.2021.101967

Sulistiawati, Kusumah, Y. S., Dahlan, J. A., Juandi, D., Suparman, & Arifin, S. (2023). The trends of studies in technology-assisted inquiry-based learning: The pesrspective of bibliometric analysis. Journal of Engineering Science and Technology, 18(1), 69–80.

Suparman, & Juandi, D. (2022a). Upgrading mathematical problem-solving abilities through problem-based learning : A meta-analysis study in some countries. AIP Conference Proceedings, 080017(December), 1–8.

Suparman, Juandi, D., Martadiputra, B. A. P., Badawi, A., Susanti, N., & Yunita. (2022). Cultivating secondary school students ’ mathematical critical thinking skills using technology-assisted problem-based learning : A meta-analysis. AIP Conference Proceedings, 070006(December), 1–7. https://doi.org/https://doi.org/10.1063/5.0102422

Suparman, Juandi, D., & Tamur, M. (2021a). Does problem-based learning enhance students’ higher order thinking skills in mathematics learning? A systematic review and meta-analysis. The 4th International Conference on Big Data and Education, 44–51. https://doi.org/https://doi.org/10.1145/3451400.3451408

Suparman, Juandi, D., & Tamur, M. (2021b). Review of problem-based learning trends in 2010-2020 : A meta-analysis study of the effect of problem-based learning in enhancing mathematical problem-solving skills of Indonesian students. Journal of Physics: Conference Series, 1722(012103), 1–9. https://doi.org/10.1088/1742-6596/1722/1/012103

Suparman, Marasabessy, R., & Helsa, Y. (2024). Enhancing spatial visualization in CABRI 3D-assisted geometry learning: A systematic review and meta-analysis. International Journal of Information and Education Technology, 14(2), 248–259. https://doi.org/10.18178/ijiet.2024.14.2.2046

Suparman, S., & Juandi, D. (2022b). Self-efficacy and mathematical ability : A meta-analysis of studies conducted in Indonesia. Pedagogika, 147(3), 26–57. https://doi.org/https://doi.org/10.15823/p.2022.147.2

Suparman, S., Juandi, D., & Herman, T. (2021). Achievement emotions of female students in mathematical problem-solving situations. Journal of Physics: Conference Series, 1806(1), 1–7. https://doi.org/10.1088/1742-6596/1806/1/012106

Susiyanti, Y., Juandi, D., & Suparman. (2022). Does project-based learning have a positive effect on student’ mathematical critical thinking skills? A meta-analysis. AIP Conference Proceedings, 2468, 1–7. https://doi.org/10.1063/5.0102486

Suyanto, E., Fuad, M., Antrakusuma, B., Suparman, & Shidiq, A. S. (2023). Exploring the research trends of technological literacy studies in education : A systematic review using bibliometric analysis. International Journal of Information and Education Technology, 13(6), 914–924. https://doi.org/10.18178/ijiet.2023.13.6.1887

Tan, J., Mao, J., Jiang, Y., & Gao, M. (2021). The influence of academic emotions on learning effects: A systematic review. International Journal of Environmental Research and Public Health, 18(18), 1–19. https://doi.org/10.3390/ijerph18189678

Tawaldi, S., Nurlaelah, E., Juandi, D., & Suparman. (2023). Is mathematics anxiety related to mathematics learning? A meta-analysis. MSCEIS 2021, 090044, 1–10.

Wu, R., & Yu, Z. (2022). Exploring the effects of achievement emotions on online learning outcomes: A systematic review. Frontiers in Psychology, 13, 1–15. https://doi.org/10.3389/fpsyg.2022.977931

Yunita, Y., Juandi, D., Hasanah, A., & Suparman. (2022). Meta-analysis study: How effective is a project-based learning model on students’ mathematical problem-solving abilities? AIP Conference Proceedings, 2468, 1–7. https://doi.org/10.1063/5.0102458

Zainil, M., Helsa, Y., Sutarsih, C., Nisa, S., Sartono, & Suparman. (2024). A needs analysis on the utilization of learning management systems as blended learning media in elementary school. Journal of Education and E-Learning Research, 11(1), 56–65. https://doi.org/10.20448/jeelr.v11i1.5310

Zhao, Q., Han, J., Lin, W., Zhang, S., & Li, Y. (2022). The effects of teachers’ error orientations on students’ mathematics learning: The role of teacher emotions. Sustainability (Switzerland), 14(10), 1–18. https://doi.org/10.3390/su14106311

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




DOI: http://dx.doi.org/10.24042/ajpm.v15i2.22222

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