The Influence of Opportunities to Learn and Efficacy Belief Factor towards Mathematical Knowledge for Teaching

Authors

DOI:

https://doi.org/10.31764/jtam.v7i3.15013

Keywords:

Expectations of teaching mathematic, Learning Opportunities.

Abstract

This study investigates the effect of learning opportunities and beliefs on the efficacy of teaching mathematics on knowledge of mathematics for teaching. Using a structured questionnaire along with paper and pencil tests adapted from the literature review, data were collected from 187 prospective primary school teachers at the Indonesian Teacher Education Institute. Data were analyzed using Smart PLS 3.0. The results of the structural equation model show that both opportunities to learn-Practicum (β = 0.395, p < 0.001) and opportunities to learn -Program (β = 0.324, p < 0.001) are positively related to mathematics. The second regression analysis is to examine the influence of teaching efficacy beliefs on mathematics. The results showed that beliefs about expectations of learning outcomes in mathematics (β = 0.322, p < 0.001) were positively related to mathematics, while personal mathematics teaching efficacy beliefs (β = 0.017, p > 0.1) were not related to mathematics. Overall, the confidence factor and opportunities to learn explain the total 54% variance in mathematics. The implications of these findings for the successful implementation of teacher education programs in Indonesia are further elaborated.

References

Abdul Rahman, M. N., Syed Zamri, S. N. A., & Leong, K. E. (2020). The Effect of Opportunity Factors for Learning and Efficacy Beliefs on Mathematical Knowledge for Teaching. Asia Pacific Journal of Educators and Education, 35(1), 111–135. https://doi.org/10.21315/apjee2020.35.1.7

Alam, A. (2020). Challenges and possibilities in teaching and learning of calculus: A case study of India. Journal for the Education of Gifted Young Scientists, 8(1), 407–433. https://doi.org/10.17478/jegys.660201

Almanasreh, E., Moles, R., & Chen, T. F. (2019). Evaluation of methods used for estimating content validity. Research in Social and Administrative Pharmacy, 15(2), 214–221. https://doi.org/10.1016/j.sapharm.2018.03.066

Barnard-Brak, L., Lan, W. Y., & Yang, Z. (2018). Differences in mathematics achievement according to opportunity to learn: A 4pL item response theory examination. Studies in Educational Evaluation, 56(November 2017), 1–7. https://doi.org/10.1016/j.stueduc.2017.11.002

Berger, J. L., Girardet, C., Vaudroz, C., & Crahay, M. (2018). Teaching Experience, Teachers’ Beliefs, and Self-Reported Classroom Management Practices: A Coherent Network. SAGE Open, 8(1), 1-12. https://doi.org/10.1177/2158244017754119

Blömeke, S., Jenßen, L., Grassmann, M., Dunekacke, S., & Wedekind, H. (2017). Process mediates structure: The relation between preschool teacher education and preschool teachers’ knowledge. Journal of Educational Psychology, 109(3), 338–354. https://doi.org/10.1037/edu0000147

Blömeke, S., Jentsch, A., Ross, N., Kaiser, G., & König, J. (2022). Opening up the black box: Teacher competence, instructional quality, and students’ learning progress. Learning and Instruction, 79(February), 1-11. https://doi.org/10.1016/j.learninstruc.2022.101600

Chansanam, W., & Li, C. (2022). Scientometrics of Poverty Research for Sustainability Development: Trend Analysis of the 1964–2022 Data through Scopus. Sustainability (Switzerland), 14(9), 1-19. https://doi.org/10.3390/su14095339

Chen, I. H., Ahorsu, D. K., Ko, N. Y., Yen, C. F., Lin, C. Y., Griffiths, M. D., & Pakpour, A. H. (2021). Adapting the Motors of Influenza Vaccination Acceptance Scale into the Motors of COVID-19 Vaccination Acceptance Scale: Psychometric evaluation among mainland Chinese university students. Vaccine, 39(32), 4510–4515. https://doi.org/10.1016/j.vaccine.2021.06.044

DÃ¥derman, A. M., & Kajonius, P. J. (2022). An item response theory analysis of the Trait Emotional Intelligence Questionnaire Short-Form (TEIQue-SF) in the workplace. Heliyon, 8(2), e08884.1-7. https://doi.org/10.1016/j.heliyon.2022.e08884

Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173(June), 121092.1-11. https://doi.org/10.1016/j.techfore.2021.121092

De Costa, P. I., & Norton, B. (2017). Introduction: Identity, Transdisciplinarity, and the Good Language Teacher. Modern Language Journal, 101(1), 3–14. https://doi.org/10.1111/modl.12368

Du, L., Chen, Q., Liu, P., Zhang, X., Wang, H., Zhou, Q., Xu, D., & Wu, Z. (2017). Phosphorus removal performance and biological dephosphorization process in treating reclaimed water by Integrated Vertical-flow Constructed Wetlands (IVCWs). Bioresource Technology, 243(11), 204–211. https://doi.org/10.1016/j.biortech.2017.06.092

Ekstam, U., Korhonen, J., Linnanmäki, K., & Aunio, P. (2017). Special education pre-service teachers’ interest, subject knowledge, and teacher efficacy beliefs in mathematics. Teaching and Teacher Education, 63(4), 338–345. https://doi.org/10.1016/j.tate.2017.01.009

Fong, L. H. N., Lam, L. W., & Law, R. (2017). How locus of control shapes intention to reuse mobile apps for making hotel reservations: Evidence from chinese consumers. Tourism Management, 61(8), 331–342. https://doi.org/10.1016/j.tourman.2017.03.002

Ford, S., & Minshall, T. (2019). Invited review article: Where and how 3D printing is used in teaching and education. Additive Manufacturing, 25(1), 131–150. https://doi.org/10.1016/j.addma.2018.10.028

Guo, W. L., Deng, J. C., Pan, Y. Y., Xu, J. X., Hong, J. L., Shi, F. F., Liu, G. L., Qian, M., Bai, W. D., Zhang, W., Liu, B., Zhang, Y. Y., Luo, P. J., Ni, L., Rao, P. F., & Lv, X. C. (2020). Hypoglycemic and hypolipidemic activities of Grifola frondosa polysaccharides and their relationships with the modulation of intestinal microflora in diabetic mice induced by high-fat diet and streptozotocin. International Journal of Biological Macromolecules, 153(6), 1231–1240. https://doi.org/10.1016/j.ijbiomac.2019.10.253

Hainora Hamzah, Mohd Isa Hamzah, & Hafizhah Zulkifli. (2022). Systematic Literature Review on the Elements of Metacognition-Based Higher Order Thinking Skills (HOTS) Teaching and Learning Modules. Sustainability (Switzerland), 14(2), 1-15. https://doi.org/https://doi.org/10.3390/su14020813

Haug, B. S., & Mork, S. M. (2021). Taking 21st century skills from vision to classroom: What teachers highlight as supportive professional development in the light of new demands from educational reforms. Teaching and Teacher Education, 100(4), 103286.1-12. https://doi.org/10.1016/j.tate.2021.103286

Hennessy, S., D’Angelo, S., McIntyre, N., Koomar, S., Kreimeia, A., Cao, L., Brugha, M., & Zubairi, A. (2022). Technology Use for Teacher Professional Development in Low- and Middle-Income Countries: A systematic review. Computers and Education Open, 3(December 2021), 100080.1-32. https://doi.org/10.1016/j.caeo.2022.100080

Höhn, A., Weber, D., Jung, T., Ott, C., Hugo, M., Kochlik, B., Kehm, R., König, J., Grune, T., & Castro, J. P. (2017). Happily (n)ever after: Aging in the context of oxidative stress, proteostasis loss and cellular senescence. Redox Biology, 11(December 2016), 482–501. https://doi.org/10.1016/j.redox.2016.12.001

Howarth, E. R. I., Kemp, C., Thatcher, H. R., Szott, I. D., Farningham, D., Witham, C. L., Holmes, A., Semple, S., & Bethell, E. J. (2021). Developing and validating attention bias tools for assessing trait and state affect in animals: A worked example with Macaca mulatta. Applied Animal Behaviour Science, 234(1), 105198. https://doi.org/10.1016/j.applanim.2020.105198

Hwang, G. J., Wang, S. Y., & Lai, C. L. (2021). Effects of a social regulation-based online learning framework on students’ learning achievements and behaviors in mathematics. Computers and Education, 160(1), 104031.1-5. https://doi.org/10.1016/j.compedu.2020.104031

König, J., Blömeke, S., Jentsch, A., Schlesinger, L., née Nehls, C. F., Musekamp, F., & Kaiser, G. (2021). The links between pedagogical competence, instructional quality, and mathematics achievement in the lower secondary classroom. Educational Studies in Mathematics, 107(1), 189–212. https://doi.org/10.1007/s10649-020-10021-0

Larabi, I. A., Fabresse, N., Etting, I., Nadour, L., Pfau, G., Raphalen, J. H., Philippe, P., Edel, Y., & Alvarez, J. C. (2019). Prevalence of New Psychoactive Substances (NPS) and conventional drugs of abuse (DOA) in high risk populations from Paris (France) and its suburbs: A cross sectional study by hair testing (2012–2017). Drug and Alcohol Dependence, 204(11), 1–34. https://doi.org/10.1016/j.drugalcdep.2019.06.011

Lazarides, R., Buchholz, J., & Rubach, C. (2018). Teacher enthusiasm and self-efficacy, student-perceived mastery goal orientation, and student motivation in mathematics classrooms. Teaching and Teacher Education, 69(1), 1–10. https://doi.org/10.1016/j.tate.2017.08.017

Lim, T. M., & Yunus, M. M. (2021). Teachers’ perception towards the use of Quizizz in the teaching and learning of English: A systematic review. Sustainability (Switzerland), 13(11), 1-15. https://doi.org/10.3390/su13116436

Liu, X., Liu, C., Wei, H., He, S., Dong, S., Zhou, B., Zhang, L., & Li, Y. (2020). A retrospective analysis of 1,717 paranasal sinus fungus ball cases from 2008 to 2017. Laryngoscope, 130(1), 75–79. https://doi.org/10.1002/lary.27869

Livy, S., & Downton, A. (2018). Exploring experiences for assisting primary pre-service teachers to extend their knowledge of student strategies and reasoning. Journal of Mathematical Behavior, 51(September), 150–160. https://doi.org/10.1016/j.jmathb.2017.11.004

Lumbantoruan, J. H., & Male, H. (2022). Impact of Unprepared Competence and Difficulty in Competence of Mathematics Teachers During Online Learning. JTAM (Jurnal Teori Dan Aplikasi Matematika), 6(4), 876–892. https://doi.org/https://doi.org/10.31764/jtam.v6i4.9164

Mangindaan, D., Adib, A., Febrianta, H., & Hutabarat, D. J. C. (2022). Systematic Literature Review and Bibliometric Study of Waste Management in Indonesia in the COVID-19 Pandemic Era. Sustainability (Switzerland), 14(5), 1-13. https://doi.org/10.3390/su14052556

Meroño, L., Calderón, A., & Arias-Estero, J. L. (2021). Digital pedagogy and cooperative learning: Effect on the technological pedagogical content knowledge and academic achievement of pre-service teachers. Revista de Psicodidáctica (English Ed.), 26(1), 53–61. https://doi.org/10.1016/j.psicoe.2020.10.002

Mintz, J., Hick, P., Solomon, Y., Matziari, A., Ó’Murchú, F., Hall, K., Cahill, K., Curtin, C., Anders, J., & Margariti, D. (2020). The reality of reality shock for inclusion: How does teacher attitude, perceived knowledge and self-efficacy in relation to effective inclusion in the classroom change from the pre-service to novice teacher year? Teaching and Teacher Education, 91(5), 103042.1-11. https://doi.org/10.1016/j.tate.2020.103042

Mohammad, J. A. M., & Yusoff, M. S. B. (2018). Psychometric properties of the mentor behaviour scale in a sample of Malaysian medical students. Journal of Taibah University Medical Sciences, 13(1), 58–63. https://doi.org/10.1016/j.jtumed.2017.04.005

Mohsenpour, A., Biddle, L., Krug, K., & Bozorgmehr, K. (2021). Measuring deterioration of small-area housing environment: Construction of a multi-dimensional assessment index and validation in shared refugee accommodation. SSM - Population Health, 13(3), 100725. https://doi.org/10.1016/j.ssmph.2020.100725

Mozahem, N. A., & Adlouni, R. O. (2021). Using Entrepreneurial Self-Efficacy as an Indirect Measure of Entrepreneurial Education. International Journal of Management Education, 19(1), 100385.1-10. https://doi.org/10.1016/j.ijme.2020.100385

Nur, A. S., Kartono, K., Zaenuri, Z., & Rochmad, R. (2022). Ethnomathematics studies : Mapping and construction of culture-based teaching materials. International Conference on Science, Education and Technology, 8(1), 503–512.

Pernaa, J., & Wiedmer, S. (2020). A systematic review of 3D printing in chemistry education - Analysis of earlier research and educational use through technological pedagogical content knowledge framework. Chemistry Teacher International, 2(2), 1–16. https://doi.org/10.1515/cti-2019-0005

Philippou, K., Christou, C. N., Socoliuc, V., Vekas, L., Tanasă, E., Miclau, M., Pashalidis, I., & Krasia-Christoforou, T. (2021). Superparamagnetic polyvinylpyrrolidone/chitosan/Fe3O4 electrospun nanofibers as effective U(VI) adsorbents. Journal of Applied Polymer Science, 138(15), 1–14. https://doi.org/10.1002/app.50212

Ren, B., Yan, F., Kuang, Y., Li, N., Zhang, D., Zhou, X., Lin, H., & Zhou, H. (2018). Improved Base Editor for Efficiently Inducing Genetic Variations in Rice with CRISPR/Cas9-Guided Hyperactive hAID Mutant. Molecular Plant, 11(4), 623–626. https://doi.org/10.1016/j.molp.2018.01.005

Salas-Rodríguez, F., & Lara, S. (2022). Unpacking collective teacher efficacy in primary schools: student achievement and professional development. Educational Research for Policy and Practice, 22(2), 193–214. https://doi.org/10.1007/s10671-022-09326-z

Saltan, F., & Arslan, K. (2017). A comparison of in-service and pre-service teachers’ technological pedagogical content knowledge self-confidence. Cogent Education, 4(1), 1-12. https://doi.org/10.1080/2331186X.2017.1311501

Sanusi, I. T., Oyelere, S. S., & Omidiora, J. O. (2022). Exploring teachers’ preconceptions of teaching machine learning in high school: A preliminary insight from Africa. Computers and Education Open, 3(December 2021), 100072.1-10. https://doi.org/10.1016/j.caeo.2021.100072

Shah, A. A., Gong, Z., Pal, I., Sun, R., Ullah, W., & Wani, G. F. (2020). Disaster risk management insight on school emergency preparedness – A case study of Khyber Pakhtunkhwa, Pakistan. International Journal of Disaster Risk Reduction, 51(August), 101805.1-12. https://doi.org/10.1016/j.ijdrr.2020.101805

Shen, C., Lv, G., Zheng, K., Ruan, C., Zhang, C., & Dong, Y. (2022). Modeling and investigating the detailed characteristics of solar lighting/heating system based on spectrum split of nanofluids. Energy and Built Environment, 3(1), 30–39. https://doi.org/10.1016/j.enbenv.2020.10.003

Sim, J. Y., Wu, P. S., Cheng, C. F., Yiang, G. T., & Yu, C. H. (2022). Characteristics, contacts, and relative risk of SARS-CoV-2 infection among children during school closures. Journal of Microbiology, Immunology and Infection, 55(6), 1108–1115. https://doi.org/10.1016/j.jmii.2021.12.004

Suprapto, N. (2020). A Systematic Review of Self-Efficacy among University Students as Pre-service Teachers in Science Education. Journal for the Education of Gifted Young Scientists, 8(4), 1387–1396. https://doi.org/10.17478/jegys.724679

Syaharuddin, & Mandailina, V. (2018). Meningkatkan Kemampuan Berhitung Siswa Sd Menggunakan Metode Jarimatika. JCES | FKIP UMMat, 1(1), 30–33. https://doi.org/10.31764/jces.v1i1.71

van Steen, T., & Wilson, C. (2020). Individual and cultural factors in teachers’ attitudes towards inclusion: A meta-analysis. Teaching and Teacher Education, 95(10), 103127.1-13. https://doi.org/10.1016/j.tate.2020.103127

Wen, S., Dooner, M., Papa, E., Del Tatto, M., Pereira, M., Borgovan, T., Cheng, Y., Goldberg, L., Liang, O., Camussi, G., & Quesenberry, P. (2019). Biodistribution of mesenchymal stem cell-derived extracellular vesicles in a radiation injury bone marrow murine model. International Journal of Molecular Sciences, 20(21), 1-15. https://doi.org/10.3390/ijms20215468

Wildeman, E., Koopman, M., & Beijaard, D. (2022). Fostering subject teachers’ integrated language teaching in technical vocational education: Results of a professional development program. Teaching and Teacher Education, 112(4), 103626.1-14. https://doi.org/10.1016/j.tate.2021.103626

Zulkpli, Z., Mohamed, M., & Abdullah, A. H. (2017). Assessing Mathematics Teachers’ Knowledge in Teaching Thinking Skills. Sains Humanika, 9(1–4), 83–87. https://doi.org/10.11113/sh.v9n1-4.1129

Published

2023-07-17

Issue

Section

Articles