Developing Holistic Gasing Evaluation Model to Balance Cognitive Efficiency and Affective Resilience
Abstract
Purpose of the study: The Gasing method (Gampang, Asyik, Menyenangkan) emphasizes ease and enjoyment, yet evaluations frequently neglect the core pillar of enjoyment. This research aims to construct and validate the Holistic Gasing Evaluation Model (HGEM) to balance cognitive speed with affective resilience, making instructional claims of joy empirically verifiable.
Methodology: This study utilizes a Type 2 Design and Development Research approach. The procedure involves a systematic analysis of eighty-three empirical papers via Publish or Perish software. A conceptual design phase synthesizes identified theoretical references to establish thirty-six specific model sub-indicators. The final development phase employs the Aiken method with three doctoral experts to validate the model content and structural integrity.
Main Findings: The Holistic Gasing Evaluation Model establishes five core dimensions supported by thirty-six psychometric sub-indicators, replacing anecdotal observations with validated instruments like the Mathematics Anxiety Rating Scale. Results show a mean Aiken’s V of 0.86. Discussion indicates that standardizing these metrics identifies instructional risks when rapid speed gains correlate with elevated anxiety, ensuring sustainable numerical performance. The primary limitation of this developmental phase is the focus on internal content validation without immediate large-scale longitudinal field data.
Novelty/Originality of this study: This research introduces the first psychometrically validated Affective-Safety guardrail for Gasing evaluation, directly resolving the "Joy Paradox" where anecdotal claims of enjoyment lack empirical verification. By transitioning from qualitative narratives to rigorous standardized benchmarks, this study advances knowledge by ensuring that rapid computational gains do not compromise student affective well-being through replicable assessment protocols.
References
OECD, PISA 2022 Assessment and Analytical Framework. OECD Publishing, 2023. doi: 10.1787/dfe0bf9c-en.
V. Bajrami et al., “From Classroom to Test Score: How Proactive Behaviors and Anxiety Shape the Effects of Cognitive Activation in Mathematics,” Journal Human Research in Rehabilitation, vol. 15, no. 2, pp. 503–516, Sep. 2025, doi: 10.21554/hrr.092520.
M. Nurwahid and S. Ashar, “Redefining mathematics learning evaluation: From traditional assessment to technology-based holistic competency assessment,” LINEAR: Journal of Mathematics Education, vol. 6, no. 2, pp. 162–176, Oct. 2025, doi: 10.32332/kpnbgv73.
A. W. Nurkarim, W. Qonita, and A. Isroil, “Skala kecemasan matematika siswa: ukuran gejala fisiologis, psikologis, perilaku, dan kognitif matematika [Students' mathematics anxiety scale: a measure of physiological, psychological, behavioral, and cognitive symptoms of mathematics],” Sains Data Jurnal Studi Matematika dan Teknologi, vol. 1, no. 2, pp. 60–68, Jan. 2024, doi: 10.52620/sainsdata.v1i2.18.
S. Sriatun, E. Ekohariadi, M. S. Sumbawati, Y. Anistyasari, and H. V. Saphira, “The effects of problem solving on students’ cognitive, affective, and psychomotor in applied mathematics,” Studies in Philosophy of Science and Education, vol. 5, no. 2, pp. 61–70, Jul. 2024, doi: 10.46627/sipose.v5i2.316.
G. P. Ningsi, F. Nendi, L. Sugiarti, E. Jeramat, and A. Gahung, “Realistic mathematics education (rme) kombinasi flipped classroom ditinjau dari kemampuan pemecahan masalah dan representasi matematis [Realistic mathematics education (RME) combination of flipped classroom reviewed from the perspective of problem solving and mathematical representation abilities],” Mathema: Jurnal Pendidikan Matematika, vol. 6, no. 1, pp. 152–163, Jan. 2024, doi: 10.33365/jm.v6i1.3293.
C. Barroso, C. M. Ganley, A. L. McGraw, E. A. Geer, S. A. Hart, and M. C. Daucourt, “A meta-analysis of the relation between math anxiety and math achievement.,” Psychol. Bull., vol. 147, no. 2, pp. 134–168, Feb. 2021, doi: 10.1037/bul0000307.
B. Bognar, S. Mužar Horvat, and L. Jukić Matić, “Characteristics of Effective Elementary Mathematics Instruction: A Scoping Review of Experimental Studies,” Educ. Sci. (Basel)., vol. 15, no. 1, p. 76, 2025, doi: 10.3390/educsci15010076.
A. Zanabazar, A. Deleg, M. Ravdan, and E. Tsogt-erdene, “The Relationship between Mathematics Anxiety and Mathematical Performance among Undergraduate Students,” Jurnal Ilmiah Peuradeun, vol. 11, no. 1, pp. 309–322, 2023, doi: 10.26811/peuradeun.v11i1.780.
E. Taieb, G. Borst, L. Le Stanc, O. Houdé, I. Altarelli, and T. Iuculano, “Domain-general and domain-specific cognitive factors mediating the relationship between math anxiety and mathematical performance in primary school children,” Sci. Rep., vol. 16, no. 1, p. 1987, 2026, doi: 10.1038/s41598-025-30898-2.
D. W. Putwain, S. Becker, W. Symes, and R. Pekrun, “Reciprocal relations between students’ academic enjoyment, boredom, and achievement over time,” Learn. Instr., vol. 54, pp. 73–81, 2018, doi: 10.1016/j.learninstruc.2017.08.004.
A. Tapola, A. M. Rawlings, R. Mononen, P. Tähti, and J. Korhonen, “The interplay of cognition and affect in fourth graders’ math performance: role of working memory in mediating the effects of math anxiety and math interest on arithmetic fluency,” Cogn. Emot., pp. 1–11, 2025, doi: 10.1080/02699931.2025.2516660.
R. A. Ferreira, C. Rodríguez, B. Guzmán, F. Sepúlveda, and C. Peake, “The Interplay of Vocabulary, Working Memory, and Math Anxiety in Predicting Early Math Performance,” J. Intell., vol. 13, no. 10, pp. 125, 2025, doi: 10.3390/jintelligence13100125.
I. Ismeirita, E. Ahman, D. Dahlan, and D. Supendra, “Identifying Key Factors Influencing the Development of Higher Order Thinking Skills (HOTS) in Students: A Systematic Literature Review,” AL-ISHLAH: Jurnal Pendidikan, vol. 17, no. 3, 2025, doi: 10.35445/alishlah.v17i3.6627.
P. Cash, J. Daalhuizen, and P. Hekkert, “Evaluating the efficacy and effectiveness of design methods: A systematic review and assessment framework,” Des. Stud., vol. 88, pp. 101204, 2023, doi: 10.1016/j.destud.2023.101204.
A. Solihin, N. Mariana, B. Purwoko, and I. Rahmawati, “How can the mathematics anxiety rating scale be modified for Indonesian elementary students (aged 10-12)? A psychometric analysis,” Journal on Mathematics Education, vol. 16, no. 2, pp. 689–708, 2025, doi: 10.22342/jme.v16i2.pp689-708.
Y. Ikeda et al., “The abbreviated math anxiety scale (AMAS): Applicability and utility in a sample of japanese elementary school children,” International Journal of Psychology, vol. 60, no. 2, 2025, doi: 10.1002/ijop.70015.
M. Szczygieł, “How to measure math anxiety in young children? Psychometric properties of the modified abbreviated math anxiety scale for elementary children (mAMAS-E),” Polish Psychological Bulletin, pp. 303–315, 2020, doi: 10.24425/ppb.2019.131003.
S. Malykh et al., “Psychometric evaluation of the abbreviated math anxiety scale in Russian university students,” Front. Educ. (Lausanne)., vol. 10, 2025, doi: 10.3389/feduc.2025.1669267.
G. Mitra and A. Wadegaonkar, “Multidimensional holistic assessment framework (HAF): A case study of exploring the discourses from elementary school teachers,” lnternational Electronic Journal of Elementary Education, vol. 17, no. 1, pp. 51–69, 2024, doi: 10.26822/iejee.2024.363.
S. Suparman, D. Juandi, Turmudi, and B. A. P. Martadiputra, “Achievement emotions for mathematics questionnaire in senior high school: Validity and reliability for Indonesian students,” COUNS-EDU: The International Journal of Counseling and Education, vol. 10, no. 1, 2025, doi: 10.23916/00202501049510.
T. Gur, N. Balta, A. Dauletkulova, G. Assanbayeva, and R. Fernández-Cézar, “Mathematics achievement emotions of high school students in Kazakhstan,” Journal on Mathematics Education, vol. 14, no. 3, pp. 525–544, 2023, doi: 10.22342/jme.v14i3.pp525-544.
N. Nabilah, E. Istiyono, and W. Widihastuti, “Redefining assessment: Creating a groundbreaking prototype for domain affective in project-based learning,” Contemporary Mathematics and Science Education, vol. 5, no. 1, p. ep24005, 2024, doi: 10.30935/conmaths/14457.
S. Mckenney and T. C. Reeves, Conducting Educational Research Design, 2nd ed. Routledge, 2019.
L. Afriani, M. Mutmainnah, and S. Sunarni, “Understanding the design of research and development methods in the field of education,” IJESS International Journal of Education and Social Science, vol. 6, no. 1, pp. 1–5, 2025, doi: 10.56371/ijess.v6i1.333.
D. W. Putwain and P. Wood, “Anxiety in the mathematics classroom: reciprocal relations with control and value, and relations with subsequent achievement,” ZDM – Mathematics Education, vol. 55, no. 2, pp. 285–298, 2023, doi: 10.1007/s11858-022-01390-2.
P. Dimitropoulou, D. Filippatou, S. Gkoutzourela, A. Griva, I. Pachiti, and M. Michaelides, “The synergy of school climate, motivation, and academic emotions: A predictive model for learning strategies and reading comprehension,” Behavioral Sciences, vol. 15, no. 4, p. 503, 2025, doi: 10.3390/bs15040503.
Y. d’Entremont and M. Voillot, “The psychology of flow, mathematics pedagogy, and culture,” International Journal for Cross-Disciplinary Subjects in Education, vol. 12, no. 1, pp. 4404–4410, 2021, doi: 10.20533/ijcdse.2042.6364.2021.0539.
R. Pekrun, “Control-value theory: From achievement emotion to a general theory of human emotions,” Educ. Psychol. Rev., vol. 36, no. 3, p. 83, 2024, doi: 10.1007/s10648-024-09909-7.
X. Wang, P. Somasundram, and J. Zhang, “The influence of flow experience on mathematical creativity among primary school students in China,” Front. Educ. (Lausanne)., vol. 10, pp. 1–14, 2025, doi: 10.3389/feduc.2025.1580126.
Y. Pei, K. K. Poon, and A. Suen, “Influence of mathematics anxiety on mathematics performance: mediating effects of mathematical engagement,” Mathematics Education Research Journal, 2025, doi: 10.1007/s13394-025-00536-1.
S. Nurjanah, E. Istiyono, W. Widihastuti, M. Iqbal, and S. Kamal, “The application of aiken’s v method for evaluating the content validity of instruments that measure the implementation of formative assessments,” Journal of Research and Educational Research Evaluation, vol. 12, no. 2, pp. 125–133, 2023, doi: 10.15294/jere.v12i2.76451.
A. M. Santoso and H. S. Widiana, “Penyusunan skala learning agility dengan aiken’s v dan uji reliabilitas [Development of a learning agility scale with Aiken's v and reliability testing],” JURKAM: Jurnal Konseling Andi Matappa, vol. 6, no. 1, pp. 14–22, 2022, doi: 10.31100/jurkam.v6i1.1699.
N. Kania, Y. S. Kusumah, J. A. Dahlan, E. Nurlaelah, F. Gürbüz, and E. Bonyah, “Constructing and providing content validity evidence through the Aiken’s V index based on the experts’ judgments of the instrument to measure mathematical problem-solving skills,” REID (Research and Evaluation in Education), vol. 10, no. 1, pp. 64–79, 2024, doi: 10.21831/reid.v10i1.71032.
E. Sulistyawati and D. Shinta Rahayu, “Prospective mathematics teachers’ creativity in developing mathematics problems based on ethnomathematics context and akm framework,” Mathema: Jurnal Pendidikan Matematika, vol. 8, no. 1, pp. 144–164, 2026, doi: 10.33365/jm.v8i1.1136.
K. Lenz, A. Dreher, L. Holzäpfel, and G. Wittmann, “Are conceptual knowledge and procedural knowledge empirically separable? The case of fractions,” British Journal of Educational Psychology, vol. 90, no. 3, pp. 809–829, 2020, doi: 10.1111/bjep.12333.
S. Schukajlow, K. Rakoczy, and R. Pekrun, “Emotions and motivation in mathematics education: Where we are today and where we need to go,” ZDM – Mathematics Education, vol. 55, no. 2, pp. 249–267, 2023, doi: 10.1007/s11858-022-01463-2.
Y. Zhou, Y. Ning, J. Chen, W. Zhang, and T. T. Wijaya, “Development and validation of mathematical higher‐order thinking scale for high school students,” Psychol. Sch., vol. 61, no. 8, pp. 3160–3192, 2024, doi: 10.1002/pits.23213.
M. Szczygieł and M. Kutt, “The psychometric properties of the Polish-language version of the Mathematical Resilience Scale,” J. Numer. Cogn., vol. 11, 2025, doi: 10.5964/jnc.13251.
M. Hickendorff, J. McMullen, and L. Verschaffel, “Mathematical flexibility: Theoretical, methodological, and educational considerations,” J. Numer. Cogn., vol. 8, no. 3, pp. 326–334, 2022, doi: 10.5964/jnc.10085.
W. Daher, F. Gierdien, and A. Anabousy, “Self-efficacy in creativity and curiosity as predicting creative emotions,” JRAMathEdu (Journal of Research and Advances in Mathematics Education), vol. 6, no. 2, pp. 86–99, 2021, doi: 10.23917/jramathedu.v6i2.12667.
C. Barroso, C. M. Ganley, A. L. McGraw, E. A. Geer, S. A. Hart, and M. C. Daucourt, “A meta-analysis of the relation between math anxiety and math achievement.,” Psychol. Bull., vol. 147, no. 2, pp. 134–168, 2021, doi: 10.1037/bul0000307.
T. Campbell, “Mathematical wellbeing: an emerging construct with exciting potential,” Mathematics Education Research Journal, 2025, doi: 10.1007/s13394-025-00532-5.
V. Sengodan, S. M. Maat, and M. S. Mahmud, “A bibliometric and systematic analysis of mathematics interest (2021-2025),” Educational Process International Journal, vol. 17, no. 1, pp. e2025389, 2025, doi: 10.22521/edupij.2025.17.389.
E. Gradini, F. B. Firmansyah B, J. Noviani, and K. Ulya, “Fostering higher-order thinking skills in mathematics education: Strategies, challenges, and classroom practices,” Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram, vol. 13, no. 2, pp. 135, 2025, doi: 10.33394/j-ps.v13i2.15099.
S. H. G. Van der Ven, E. J. Prast, and E. Van de Weijer-Bergsma, “Towards an integrative model of math cognition: Interactions between working memory and emotions in explaining children’s math performance,” J. Intell., vol. 11, no. 7, pp. 136, 2023, doi: 10.3390/jintelligence11070136.
T. G. Campbell, S. Kularajan, and S. Miles, “Psychometric evaluation of the mathematical well-being scale for children aged 9–14,” Mathematics Education Research Journal, vol. 2025, no. 1, pp. 1–22, 2025, doi: 10.1007/s13394-025-00545-0.
A. Widlund, H. Tuominen, and J. Korhonen, “Reciprocal effects of mathematics performance, school engagement and burnout during adolescence,” British Journal of Educational Psychology, vol. 93, no. 1, pp. 183–197, 2023, doi: 10.1111/bjep.12548.
S. Caviola, E. Toffalini, D. Giofrè, J. M. Ruiz, D. Szűcs, and I. C. Mammarella, “Math performance and academic anxiety forms, from sociodemographic to cognitive aspects: A meta-analysis on 906,311 participants,” Educ. Psychol. Rev., vol. 34, no. 1, pp. 363–399, 2022, doi: 10.1007/s10648-021-09618-5.
R. Rokhmaniyah, D. Indrapangastuti, and M. Chamdani, “Enhancing pancasila student profiles through differentiated learning with understanding by design,” AL-ISHLAH: Jurnal Pendidikan, vol. 17, no. 3, pp. 4615–4626, 2025, doi: 10.35445/alishlah.v17i3.5498.
Copyright (c) 2026 Ninik Wjiningsih, Eva Puspitasari; Budi Setiawan, Mario Emilzoli

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and acknowledge that the Integrated Science Education Journal is the first publisher licensed under a Creative Commons Attribution 4.0 International License.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges and earlier and greater citation of published work.



.png)
.png)




