Eurasia Journal of Mathematics, Science and Technology Education

• Alamro, H., Maray, M., Aljabri, J., Alahmari, S., Abdullah, M., Alqurni, J. S., Alotaibi, F. A., & Mohamed, A. A. (2025). Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics. Alexandria Engineering Journal, 113, 366-377. https://doi.org/10.1016/j.aej.2024.11.016
• Alayubi, M. A., Sappaile, B. I., & Upu, H. (2024). Development of mathematics literacy teaching module with problem-based learning (PBL) learning model. Formatif: Jurnal Ilmiah Pendidikan MIPA, 14(2), 431-444. https://doi.org/10.30998/formatif.v14i2.28072
• Amini, D., Anhari, M. H., & Ghasemzadeh, A. (2020). Modeling the relationship between metacognitive strategy awareness, self-regulation and reading proficiency of Iranian EFL learners. Cogent Education, 7(1), Article 1787018. https://doi.org/10.1080/2331186X.2020.1787018
• Arteaga-Checa, M., Manzano-Sánchez, D., & Belando-Pedreño, N. (2023). “Know yourself” intervention program for the development of intrapersonal intelligence in university students. Sustainability, 15(20), Article 14802. https://doi.org/10.3390/su152014802
• Birgisdottir, F., Gestsdottir, S., & Geldhof, G. J. (2020). Early predictors of first and fourth grade reading and math: The role of self-regulation and early literacy skills. Early Childhood Research Quarterly, 53, 507-519. https://doi.org/10.1016/j.ecresq.2020.05.001
• Bolstad, O. H. (2020). Secondary teachers’ operationalisation of mathematical literacy. European Journal of Science and Mathematics Education, 8(3), 115-135. https://doi.org/10.30935/scimath/9551
• Burrows, L., Sculthorpe, D., Zhang, H., Rehman, O., Mukherjee, A., & Chen, K. (2024). Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma. Journal of Pathology Informatics, 15, Article 100351. https://doi.org/10.1016/j.jpi.2023.100351
• Dabarera, C., Renandya, W. A., & Zhang, L. J. (2014). The impact of metacognitive scaffolding and monitoring on reading comprehension. System, 42(1), 462-473. https://doi.org/10.1016/j.system.2013.12.020
• Durkaya, M., Şenel, E. Ö., Öçal, M. F., Kaplan, A., Aksu, Z., & Konyaloglu, A. C. (2011). Pre-service mathematics teachers’ multiple representation competencies about determinant concept. Procedia-Social and Behavioral Sciences, 15, 2554-2558. https://doi.org/10.1016/j.sbspro.2011.04.144
• Gasong, D., & Toding, A. (2020). Effectiveness of humanistic learning models on intra and interpersonal intelligence. Utopia y Praxis Latinoamericana, 25(Extra 6), 491-500.
• Hartmann, L. M., Schukajlow, S., Niss, M., & Jankvist, U. T. (2024). Preservice teachers’ metacognitive process variables in modeling-related problem posing. Journal of Mathematical Behavior, 76, Article 101195. https://doi.org/10.1016/j.jmathb.2024.101195
• He, E., Ye, X., & Zhang, W. (2023). The effect of parenting styles on adolescent bullying behaviours in China: The mechanism of interpersonal intelligence and intrapersonal intelligence. Heliyon, 9(4), Article e15299. https://doi.org/10.1016/j.heliyon.2023.e15299
• Holenstein, M., Bruckmaier, G., & Grob, A. (2021). Transfer effects of mathematical literacy: An integrative longitudinal study. European Journal of Psychology of Education, 36(3), 799-825. https://doi.org/10.1007/s10212-020-00491-4
• Hoorfar, H., & Taleb, Z. (2015). Correlation between mathematics anxiety with metacognitive knowledge. Procedia-Social and Behavioral Sciences, 182, 737-741. https://doi.org/10.1016/j.sbspro.2015.04.822
• Inganah, S., Darmayanti, R., & Rizki, N. (2023). Problems, solutions, and expectations: 6C integration of 21^st century education into learning mathematics. Journal of Mathematics and Science Education, 11(1), 220-238. https://doi.org/10.25273/jems.v11i1.14646
• Jin, H. Y., & Cutumisu, M. (2024). Cognitive, interpersonal, and intrapersonal deeper learning domains: A systematic review of computational thinking. Education and Information Technologies, 29(17), 22723-22756. https://doi.org/10.1007/s10639-024-12744-6
• Lestari, D. E., Widjajanti, D. B., Susanto, A., & Hidayati, K. (2025). Students’ self-efficacy in solving mathematical literacy-based summative assessment problems. Mathematics Education Journal, 19(1), 47-62. https://doi.org/10.22342/jpm.v19i1.pp47-62
• Lishchynska, M., Palmer, C., Lacey, S., & O’connor, D. (2023). Is motivation the key? Factors impacting performance in first year service mathematics modules. European Journal of Science and Mathematics Education, 11(1), 146-166. https://doi.org/10.30935/scimath/12529
• Lyndgaard, S. F., & Kanfer, R. (2024). Interpersonal, intrapersonal, and cognitive tactics: A thematic analysis of adults’ 21^st century learning management. Journal of the Learning Sciences, 33(1), 175-211. https://doi.org/10.1080/10508406.2024.2303777
• Masum, M., Masud, M. A., Adnan, M. I., Shahriar, H., & Kim, S. (2022). Comparative study of a mathematical epidemic model, statistical modeling, and deep learning for COVID-19 forecasting and management. Socio-Economic Planning Sciences, 80, Article 101249. https://doi.org/10.1016/j.seps.2022.101249
• Mukuka, A., Balimuttajjo, S., & Mutarutinya, V. (2023). Teacher efforts towards the development of students’ mathematical reasoning skills. Heliyon, 9(4), Article e14789. https://doi.org/10.1016/j.heliyon.2023.e14789
• Nguyen, H. T. M., Nguyen, H. T. T., Gilanyi, L., Hoang, T. H., & Gao, X. (2025). Content language integrated learning (CLIL): Teachers’ metacognitive understanding of pedagogical translanguaging. Learning and Instruction, 97, Article 102085. https://doi.org/10.1016/j.learninstruc.2025.102085
• Nurjanah, Dahlan, J. A., & Wibisono, Y. (2020). The effect of hands-on and computer-based learning activities on conceptual understanding and mathematical reasoning. International Journal of Instruction, 14(1), 143-160. https://doi.org/10.29333/IJI.2021.1419A
• OECD. (2023). PISA 2022 results (volume I): The state of learning and equity in education. OECD Publishing. https://doi.org/10.1787/53f23881-en
• Okwuduba, E. N., Nwosu, K. C., Okigbo, E. C., Samuel, N. N., & Achugbu, C. (2021). Impact of intrapersonal and interpersonal emotional intelligence and self-directed learning on academic performance among pre-university science students. Heliyon, 7(3), Article e06611. https://doi.org/10.1016/j.heliyon.2021.e06611
• Omiralievna, M. B. (2024). Development and cultivation of mathematical literacy: A pedagogical perspective. Eurasian Science Review, 2(4), 94-99. https://doi.org/10.63034/esr-55
• Ozkale, A., & Ozdemir Erdogan, E. (2020). An analysis of the interaction between mathematical literacy and financial literacy in PISA. International Journal of Mathematical Education in Science and Technology, 53(8), 1983-2003. https://doi.org/10.1080/0020739X.2020.1842526
• Sappaile, B. I. (2024). Impact of using cognitive technology in increasing the efficiency of the learning process. Journal Emerging Technologies in Education, 2(2), 137-149. https://doi.org/10.70177/jete.v2i2.1060
• Sappaile, B. I., Nisak, S. K., Afandi, A., Anshoriyah, S., & Mardiati, M. (2024). Enhancing critical thinking skills in mathematics education: Integrating problem-based learning in secondary schools. International Journal of Educational Research Excellence, 3(2), 731-737. https://doi.org/10.55299/ijere.v3i2.1085
• Sikko, S. A. (2023). What can we learn from the different understandings of mathematical literacy? Numeracy, 16(1), Article 1. https://doi.org/10.5038/1936-4660.16.1.1410
• Stern, M., & Hertel, S. (2022). Relationship between maternal scaffolding and preschooler’s metacognitive strategies in a problem-solving situation. Learning and Instruction, 80, Article 101631. https://doi.org/10.1016/j.learninstruc.2022.101631
• Stylos, G., Siarka, O., & Kotsis, K. T. (2023). Assessing Greek pre-service primary teachers’ scientific literacy. European Journal of Science and Mathematics Education, 11(2), 271-282. https://doi.org/10.30935/scimath/12637
• Supriadi, N., Jamaluddin Z, W., & Suherman, S. (2024). The role of learning anxiety and mathematical reasoning as predictor of promoting learning motivation: The mediating role of mathematical problem solving. Thinking Skills and Creativity, 52, Article 101497. https://doi.org/10.1016/j.tsc.2024.101497
• Teng, X. (2024). Network mathematical virtual data analysis model based on deep learning algorithm. Procedia Computer Science, 243, 372-379. https://doi.org/10.1016/j.procs.2024.09.046
• Toikka, S., Eronen, L., Atjonen, P., & Havu-Nuutinen, S. (2024). Combined conceptualisations of metacognitive knowledge to understand students’ mathematical problem-solving. Cogent Education, 11(1), Article 2357901. https://doi.org/10.1080/2331186X.2024.2357901
• Trusz, S. (2020). Why do females choose to study humanities or social sciences, while males prefer technology or science? Some intrapersonal and interpersonal predictors. Social Psychology of Education, 23(3), 615-639. https://doi.org/10.1007/s11218-020-09551-5
• Vessonen, T., Hellstrand, H., Kurkela, M., Aunio, P., & Laine, A. (2025). The effectiveness of mathematical word problem-solving interventions among elementary schoolers: A systematic review and meta-analysis. International Journal of Educational Research, 132, Article 102642. https://doi.org/10.1016/j.ijer.2025.102642
• Wahab Abdi, A., & Desfandi, M. (2020). Visual-spatial and intrapersonal intelligence: Identification its role in the learning outcomes of students in Islamic schools. International Journal Pedagogy of Social Studies, 2020(5), 112-121.
• Zachariades, T., Sakonidis, C., & Zoitsakos, S. (2025). The impact of advanced mathematics in teaching school mathematics through secondary teachers’ reflections on students’ reasoning. Journal of Mathematical Behavior, 80, Article 101277. https://doi.org/10.1016/j.jmathb.2025.101277

APA

Talib, A., Sappaile, B. I., Rahman, M. S., & Nasir, N. (2026). Enhancing secondary students’ mathematical literacy through Android-based modules integrating deep learning and intrapersonal intelligence. Eurasia Journal of Mathematics, Science and Technology Education, 22(3), em2794. https://doi.org/10.29333/ejmste/18069

Vancouver

Talib A, Sappaile BI, Rahman MS, Nasir N. Enhancing secondary students’ mathematical literacy through Android-based modules integrating deep learning and intrapersonal intelligence. EURASIA J Math Sci Tech Ed. 2026;22(3):em2794. https://doi.org/10.29333/ejmste/18069

AMA

Talib A, Sappaile BI, Rahman MS, Nasir N. Enhancing secondary students’ mathematical literacy through Android-based modules integrating deep learning and intrapersonal intelligence. EURASIA J Math Sci Tech Ed. 2026;22(3), em2794. https://doi.org/10.29333/ejmste/18069

Chicago

Talib, Ahmad, Baso Intang Sappaile, Muhammad Syarifuddin Rahman, and Norma Nasir. "Enhancing secondary students’ mathematical literacy through Android-based modules integrating deep learning and intrapersonal intelligence". Eurasia Journal of Mathematics, Science and Technology Education 2026 22 no. 3 (2026): em2794. https://doi.org/10.29333/ejmste/18069

Harvard

Talib, A., Sappaile, B. I., Rahman, M. S., and Nasir, N. (2026). Enhancing secondary students’ mathematical literacy through Android-based modules integrating deep learning and intrapersonal intelligence. Eurasia Journal of Mathematics, Science and Technology Education, 22(3), em2794. https://doi.org/10.29333/ejmste/18069

MLA

Talib, Ahmad et al. "Enhancing secondary students’ mathematical literacy through Android-based modules integrating deep learning and intrapersonal intelligence". Eurasia Journal of Mathematics, Science and Technology Education, vol. 22, no. 3, 2026, em2794. https://doi.org/10.29333/ejmste/18069