References

Abí, A., García, J., & López, M. (2020). Predicting mathematics achievement in secondary education: The role of cognitive, motivational, and emotional variables. Frontiers in Psychology, 11, Article 528. https://doi.org/10.3389/fpsyg.2020.00528

Berwick, C. (2019, October 25). What does the research say about testing? Edutopia. https://www.edutopia.org/article/what-does-research-say-about-testing

Brockhoff, S., & Weber, M. (2015). Towards empirically measuring patience. Universal Journal of Management, 3(12), 501-508.

https://doi.org/10.13189/ujm.2015.031207

Chin, C., & Brown, D. (2000). Learning in science: A comparison of deep and surface approaches. Journal of Research in Science Teaching, 37(2), 109-138.
https://doi.org/10.1002/(SICI)1098-2736(200002)37:2<109::AID-TEA3>3.0.CO;2-7

Demirel, M., Demirel, D., & Keles, E. (2015). A study on the relationship between reflective thinking skills towards problem solving and attitudes towards mathematics. In the 7th World Conference on Educational Sciences (WCES-2015), 05-07 February 2015, Athens, Greece.

Erdemir, N. (2009). Determining students’ attitude towards physics through problem-solving strategy. Asia-Pacific Forum on Science Learning and Teaching, 10(2).
https://www.eduhk.hk/apfslt/v10_issue2/erdemir/

Granato, S. (2023). Early influences and the choice of college major: Can policies reduce the gender gap in scientific curricula (STEM)? Journal of Policy Modeling, 45(3), 494-521. https://doi.org/10.1016/j.jpolmod.2023.03.002

Granese, L., Herrera, C., & Jiménez, R. (2023). Effects of the pandemic on the socioemotional well-being of children and adolescents in Chile and the world. Centro de Estudios Públicos (CEP), Chile. https://www.cepchile.cl/

Ibrahim, N., Rahman, M., & Halim, M. (2023). Post-pandemic blues: Collaborative learning and communicative competence in English as a second language (ESL). International Journal of Academic Research in Business and Social Sciences, 13(4), 89-104.

https://doi.org/10.6007/IJARBSS/v13-i4/16828

Mohd, A., Noraini, I., & Mohamed, S. (2011). The effects of attitude towards problem solving in mathematics achievements. Australian Journal of Basic and Applied Sciences, 5(12), 1857-1864.

Prince, M. J., & Felder, R. M. (2006). The many faces of inductive teaching and learning. Journal of College Science Teaching, 35(5), 14-20.

Reardon, S. F., Fahle, E. M., Kalogrides, D., Podolsky, A., & Zárate, R. (2018). The relationship between test item format and gender achievement gaps on math and ELA tests in fourth and eighth grades. Educational Researcher, 47(5), 284-294.

https://doi.org/10.3102/0013189X18762105

Usan, A., Salavera, C., & Teruel, P. (2022). Self-efficacy, optimism, and academic performance as psychoeducational variables: Mediation approach in students. Children, 9(3), 420. https://doi.org/10.3390/children9030420

Wang, X. (2013). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081-1121. https://doi.org/10.3102/0002831213488622

Wickström, A., & Zeiler, K. (2021). The performativity of surveys: Teenagers’ meaning-making of the ‘Health Behavior in School-aged Children Survey’ in Sweden. Children & Society, 35(3), 428-444. https://doi.org/10.1111/chso.12416

World Economic Forum. (2020, October). These are the top 10 job skills of tomorrow - and how long it takes to learn them.

https://www.weforum.org/agenda/2020/10/top-10-work-skills-of-tomorrow-how-long-it-takes-to-learn-them/

Zakaria, E., Chin, C. L., & Daud, Y. (2004). The reliability and construct validity of scores on the attitudes toward problem solving scale. Journal of Science and Mathematics Education in Southeast Asia, 27(2), 123-139.