Evaluating the GASING Method Training on Teachers’ Mathematical Competence and Intrinsic Motivation in Papua: A Self-Determination Theory Perspective
DOI:
https://doi.org/10.33394/jk.v12i2.20140Keywords:
Mathematics Anxiety, GASING Method, Intrinsic Motivation, Self-Determination Theory, Teacher TrainingAbstract
This study aims to examine the effectiveness of an intensive GASING method (Gampang, Asyik, dan Menyenangkan: Easy, Fun, and Enjoyable) training program in enhancing mathematical competence and intrinsic motivation among elementary school teachers in Papua, analyzed through the lens of Self-Determination Theory (SDT). A pre-experimental one-group pretest–posttest design, supplemented by qualitative analysis, was employed. Thirty-one teachers in Jayapura completed a 17-day (more than 130 hours) intensive program at Cenderawasih University. The study used a 100-point mathematical competence test (validated by the Surya Institute) and trainers’ daily journals as research instruments. Quantitative data were analyzed using descriptive statistics, N-gain scores (Hake, 1999), and Cohen’s d effect size, while qualitative data from journals were analyzed thematically within the framework of Self-Determination Theory (SDT) to explore changes in participants’ psychological motivation. The results demonstrated a substantial increase in mathematical competence, with a mean gain of 55.58 points (from 38.52 to 94.10; +144.3%), an N-gain score of g = 0.904 (high category), and a large effect size (Cohen’s d = 3.41). All five mathematical components and all four instructional groups consistently achieved high N-gain scores (g = 0.854–0.936). The qualitative findings indicate that the program’s effectiveness was grounded in the systematic fulfillment of the three core psychological needs of SDT: competence (through structured mastery progression), autonomy (through opportunities for creative agency), and relatedness (through the formation of a collective identity as “Smart Papua”). Gamification elements, music, chants, and structured practice reduced anxiety while fostering sustained intrinsic motivation. These findings contribute to the extension of Self-Determination Theory in collectivist cultural contexts and offer practical implications for transformative teacher professional development in Eastern Indonesia.
References
Ashcraft, M. H. (2002). Math anxiety: Personal, educational, and cognitive consequences. Current Directions in Psychological Science, 11(5), 181–185. https://doi.org/10.1111/1467-8721.00196
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
Barroso, C., Ganley, C. M., McGraw, A. L., Geer, E. A., Hart, S. A., & Daucourt, M. C. (2021). A meta-analysis of the relation between math anxiety and math achievement. Psychological Bulletin, 147(2), 134–168. https://doi.org/10.1037/bul0000307
Beilock, S. L., & Maloney, E. A. (2015). Math anxiety: A factor in math achievement not to be ignored. Policy Insights from the Behavioral and Brain Sciences, 2(1), 4–12. https://doi.org/10.1177/2372732215601438
BPS (Badan Pusat Statistik). (2023). Papua Province in figures 2023. BPS Papua.
Century, J., & Cassata, A. (2016). Implementation research: Finding common ground on what, how, why, where, and who. Review of Research in Education, 40(1), 169–215. https://doi.org/10.3102/0091732X16665332
Chang, H., & Beilock, S. L. (2016). The math anxiety-math performance link and its relation to individual and environmental factors: A review of current behavioral and psychophysiological research. Current Opinion in Behavioral Sciences, 10, 33–38. https://doi.org/10.1016/j.cobeha.2016.04.011
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.
Dowker, A., Sarkar, A., & Looi, C. Y. (2016). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 7, 508. https://doi.org/10.3389/fpsyg.2016.00508
Durkheim, É. (1995). The elementary forms of religious life (K. E. Fields, Trans.). Free Press. (Original work published 1912)
Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406. https://doi.org/10.1037/0033-295X.100.3.363
Gay, G. (2018). Culturally responsive teaching: Theory, research, and practice (3rd ed.). Teachers College Press.
Geary, D. C. (2011). Cognitive predictors of achievement growth in mathematics: A 5-year longitudinal study. Developmental Psychology, 47(6), 1539–1552. https://doi.org/10.1037/a0025510
Grootenboer, P., & Zevenbergen, R. (2008). Identity as a lens to understand learning mathematics: Developing a model. In M. Goos, R. Brown, & K. Makar (Eds.), Navigating currents and charting directions: Proceedings of the 31st Annual Conference of the Mathematics Education Research Group of Australasia (pp. 243–250). MERGA.
Hake, R. R. (1999). Analyzing change/gain scores. American Educational Research Association. https://www.physics.indiana.edu/~sdi/AnalyzingChange-Gain.pdf
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–83. https://doi.org/10.1017/S0140525X0999152X
Hill, H. C., Beisiegel, M., & Jacob, R. (2013). Professional development research: Consensus, crossroads, and challenges. Educational Researcher, 42(9), 476–487. https://doi.org/10.3102/0013189X13512674
Howard, J. L., Bureau, J. S., Guay, F., Chong, J. X. Y., & Ryan, R. M. (2021). Student motivation and associated outcomes: A meta-analysis from self-determination theory. Perspectives on Psychological Science, 16(6), 1300–1323. https://doi.org/10.1177/1745691620966789
Immordino-Yang, M. H., & Damasio, A. (2007). We feel, therefore we learn: The relevance of affective and social neuroscience to education. Mind, Brain, and Education, 1(1), 3–10. https://doi.org/10.1111/j.1751-228X.2007.00004.x
Jang, H., Reeve, J., & Deci, E. L. (2010). Engaging students in learning activities: It is not autonomy support or structure but autonomy support and structure. Journal of Educational Psychology, 102(3), 588–600. https://doi.org/10.1037/a0019682
King, R. B., & McInerney, D. M. (2016). Culturalizing motivation research in educational psychology. British Journal of Educational Psychology, 86(1), 1–16. https://doi.org/10.1111/bjep.12106
Lupien, S. J., McEwen, B. S., Gunnar, M. R., & Heim, C. (2007). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience, 8(6), 463–475. https://doi.org/10.1038/nrn2538
Maloney, E. A., & Beilock, S. L. (2012). Math anxiety: Who has it, why it develops, and how to guard against it. Trends in Cognitive Sciences, 16(8), 404–406. https://doi.org/10.1016/j.tics.2012.06.008
Ministry of Education, Culture, Research, and Technology. (2023). National survey on mathematics teacher professional development programs. Kemendikbudristek.
Mueller, C. M., & Dweck, C. S. (1998). Praise for intelligence can undermine children’s motivation and performance. Journal of Personality and Social Psychology, 75(1), 33–52. https://doi.org/10.1037/0022-3514.75.1.33
Namkung, J. M., Peng, P., & Lin, X. (2019). The relation between mathematics anxiety and mathematics performance among school-aged students: A meta-analysis. Review of Educational Research, 89(3), 459–496. https://doi.org/10.3102/0034654319843494
OECD. (2023). PISA 2022 results (Volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en
Oyserman, D., Bybee, D., & Terry, K. (2006). Possible selves and academic outcomes: How and when possible selves impel action. Journal of Personality and Social Psychology, 91(1), 188–204. https://doi.org/10.1037/0022-3514.91.1.188
Papua Education Office. (2024). Report on elementary mathematics teacher competency in Jayapura. Papua Provincial Education Office.
Pekrun, R. (2014). Emotions and learning. Educational Practices Series, 24. International Academy of Education / International Bureau of Education.
Pekrun, R., & Linnenbrink-Garcia, L. (2014). Introduction to emotions in education. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), International handbook of emotions in education (pp. 1–20). Routledge.
Ramirez, G., Shaw, S. T., & Maloney, E. A. (2018). Math anxiety: Past research, promising interventions, and a new interpretation framework. Educational Psychologist, 53(3), 145–164. https://doi.org/10.1080/00461520.2018.1447384
Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–26. https://doi.org/10.1016/j.tics.2010.09.003
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
Särkamö, T., Tervaniemi, M., Laitinen, S., Forsblom, A., Soinila, S., Mikkonen, M., Autti, T., Silvennoinen, H. M., Erkkilä, J., Lippi, M., Leppävuori, A., Hietanen, M., & Hari, R. (2008). Music listening enhances cognitive recovery and mood after middle cerebral artery stroke. Brain, 131(3), 866–876. https://doi.org/10.1093/brain/awn013
Schultz, W. (2015). Neuronal reward and decision signals: From theories to data. Physiological Reviews, 95(3), 853–951. https://doi.org/10.1152/physrev.00023.2014
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wallace, W. T. (1994). Memory for music: Effect of melody on recall of text. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20(6), 1471–1485. https://doi.org/10.1037/0278-7393.20.6.1471
Yoon, K. S., Duncan, T., Lee, S. W.-Y., Scarloss, B., & Shapley, K. (2007). Reviewing the evidence on how teacher professional development affects student achievement (Issues & Answers Report, REL 2007–No. 033). U.S. Department of Education, Institute of Education Sciences.
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