The Interplay of Talent, Interest, and Teaching Competence: A SEM-PLS Analysis of Pre-Service Mathematics Teachers
DOI:
https://doi.org/10.36312/pd596x85Keywords:
Interest, Prospective Mathematics Teachers, SEM-PLS, Talent, Teacher CompetenceAbstract
Based on Expectancy-Value Theory, talent and interest are often assumed to relate to individual competence. However, few studies have examined talent, interest, and competence simultaneously using SEM-PLS. This study analyzed the direct and indirect relationships among talent, interest, and the teaching competence of prospective mathematics teachers using SEM-PLS. The participants were 87 fifth-semester students in the Mathematics Education Department at UIN Siber Syekh Nurjati Cirebon. Data were collected through an interest questionnaire, a talent test, and teaching-competence observations. The results indicated that talent had a positive but non-significant effect on interest (coefficient = 0.487; p = 0.127) and on teaching competence (coefficient = 0.236; p = 0.531). Interest showed a negative but non-significant effect on teaching competence (coefficient = -0.243; p = 0.289). The mediation test also showed that interest did not significantly mediate the effect of talent on teaching competence (indirect coefficient = -0.118; p = 0.369). The explained variance was 0.237 for interest and 0.059 for competence, indicating that the model accounted for only a small proportion of variance. These findings suggest that teaching competence is more likely shaped through experience and social interaction in educational settings than as a direct outcome of talent or interest. The lack of significant relationships highlights the complexity of teaching-competence development. Practically, teacher education institutions should support talent and interest exploration while strengthening competence development through structured mentoring, early career exploration workshops, and systematic talent identification.
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Ainley, M., & Ainley, J. (2011). Student engagement with science in early adolescence: The contribution of enjoyment to students’ continuing interest in learning about science. In Contemporary Educational Psychology (Vol. 36, Issue 1, pp. 4–12). Elsevier Science. https://doi.org/10.1016/j.cedpsych.2010.08.001
Amir, M. T. (2017). Merancang kuesioner: Konsep dan panduan untuk penelitian sikap, kepribadian, dan perilaku. Kencana.
Asbury, K., Roloff, J., Carstensen, B., Guill, K., & Klusmann, U. (2023). Investigating preservice teachers’ field-specific ability beliefs: Do they believe innate talent is essential for success in their subject? Teaching and Teacher Education, 136, 104367. https://doi.org/10.1016/j.tate.2023.104367
Asfar, A., Ahmad, M. A., Gani, H. A., Asfar, A., & Nurannisa, A. (2021). Development of Connecting Extending Review (CER) learning model to improve student’s mathematical reasoning ability. Asian Journal of Applied Sciences, 9(4). https://doi.org/10.24203/ajas.v9i4.6694
Astiati, S. D., & Ilham, I. (2025). Analisis kemampuan berpikir induktif matematis siswa pada mata pelajaran barisan aritmatika. Jurnal Pendidikan Dan Pembelajaran Indonesia (JPPI), 5(1), 319–328. https://doi.org/10.53299/jppi.v5i1.995
Bandhu, D., Mohan, M. M., Nittala, N. A. P., Jadhav, P., Bhadauria, A., & Saxena, K. K. (2024). Theories of motivation: A comprehensive analysis of human behavior drivers. Acta Psychologica, 244, 104177. https://doi.org/10.1016/j.actpsy.2024.104177
Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1–26.
Bastian, A., Nasution, J. A., & Wahyuni, S. (2022). Teacher performance under the influence of training, work motivation and teacher competence. Al-Ishlah: Jurnal Pendidikan, 14(3), 3601–3612. https://doi.org/10.35445/alishlah.v14i3.2189
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications and programmings. Abingdon.
Caspi, A., & Gorsky, P. (2024). STEM career expectations across four diverse countries: motivation to learn mathematics mediates the effects of gender and math classroom environments. International Journal of STEM Education, 11(1), 52. https://doi.org/10.1186/s40594-024-00511-5
Cevikbas, M., Koenig, J., & Rothland, M. (2024). Empirical research on teacher competence in mathematics lesson planning: Recent developments. ZDM–Mathematics Education, 56(1), 101–113. https://doi.org/10.1007/s11858-023-01487-2
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. In Annual Review of Psychology (Vol. 53, Issue 1, pp. 109–132). Annual Reviews. https://doi.org/10.1146/annurev.psych.53.100901.135153
Eccles, J. S., & Wigfield, A. (2023). Expectancy-value theory to situated expectancy-value theory: Reflections on the legacy of 40+ years of working together. Motivation Science, 9(1), 1. https://doi.org/10.1037/mot0000275
Erlangga, S. Y., Kuncoro, K. S., Ardilla, N., Winingsih, P. H., Lapiana, U. N. B., Yektyastuti, R., & Fitri, A. (2024). Psikologi pendidikan. EDUPEDIA Publisher, 1–136.
Farisi, A., Herlambang, A. D., & Zulvarina, P. (2023). Hubungan minat belajar dan motivasi belajar siswa terhadap perencanaan karier siswa jurusan teknik komputer dan jaringan di SMK Negeri 3 Malang. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 7(4), 1872–1882.
Fitria, T. N. (2023). Factors Influencing Education Department Students in Choosing a Teacher’s Career. Epigram, 20(1), 43–56. https://doi.org/10.32722/epi.v20i1.5570
García-Martínez, I., Pérez-Navío, E., Pérez-Ferra, M., & Quijano-López, R. (2021). Relationship between emotional intelligence, educational achievement and academic stress of pre-service teachers. Behavioral Sciences, 11(7), 95. https://doi.org/10.3390/bs11070095
González, G., Villafañe-Cepeda, W., & Hernández-Rodríguez, O. (2023). Leveraging prospective teachers’ knowledge through their participation in lesson study. Journal of Mathematics Teacher Education, 26(1), 79–102. https://doi.org/10.1007/s10857-021-09521-4
Gramipour, M., Shariatmadari, M., & Mahdi, S. (2019). The development of Teacher Academic Emotions (TAE) scale. Journal of Pedagogical Research, 3(1), 60–79. https://doi.org/10.33902/JPR.2019.5
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.
Halimahturrafiah, N., & Marsidin, S. (2023). The influence of teacher competence and work motivation on the performance of state high school teachers. Journal of Education Research and Evaluation, 7(3), 362–369. https://doi.org/10.23887/jere.v7i3.65937
Harefa, D. (2023). The relationship between students’ interest in learning and mathematics learning outcomes. Afore: Jurnal Pendidikan Matematika, 2(2), 1–11. https://doi.org/10.57094/afore.v2i2.1054
Hidayat, A. S., Badriah, L., & Maryati, R. (2024). Efektivitas kompetensi profesional guru dalam meningkatkan hasil belajar peserta didik. Jurnal Pendidikan Sang Surya, 10(1), 222–234. https://doi.org/10.56959/jpss.v10i1.191
Hidi, S. E., & Renninger, K. A. (2020). On educating, curiosity, and interest development. Current Opinion in Behavioral Sciences, 35, 99–103. https://doi.org/https://doi.org/10.1016/j.cobeha.2020.08.002
Jhantasana, C. (2023). Should a rule of thumb be used to calculate PLS-SEM sample size. Asia Social Issues, 16(5), e254658–e254658. https://doi.org/10.48048/asi.2023.254658
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration (Ijec), 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS?SEM: The inverse square root and gamma?exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
Kooloos, C., Oolbekkink-Marchand, H., van Boven, S., Kaenders, R., & Heckman, G. (2022). Making sense of student mathematical thinking: The role of teacher mathematical thinking. Educational Studies in Mathematics, 110(3), 503–524. https://doi.org/10.1007/s10649-021-10124-2
Lee, S.-Y. (2021). Supportive environments for developing talent 2. In The social and emotional development of gifted children (pp. 191–204). Routledge.
Lindawati, Wahidy, A., & Fitria, H. (2021). The role of interests and talents in the competency skills of students. International Conference on Education Universitas PGRI Palembang (INCoEPP 2021), 1277–1280. https://doi.org/10.2991/assehr.k.210716.254
Lumbantoruan, J. H., & Male, H. (2022). Impact of unprepared competence and difficulty in competence of mathematics teachers during online learning. Jurnal Teori Dan Aplikasi Matematika, 6(4), 876–892.
Madina, Z., Aubakirova, R. Z., Manyapova, T., Rakhmetollauly, B. R., Anatolyevna, K. A., & Mishchenko, E. V. (2022). Self-development as a factor of professional growth of future teachers. Cypriot Journal of Educational Sciences, 17(3), 903–919. https://doi.org/10.18844/cjes.v17i3.6984
Manfaat, B. (2019). Model seleksi masuk program pendidikan keguruan matematika. Universitas Negeri Yogyakarta.
Mighfar, S., Ervani, D. A., Faizah, N., Khoona, A., & Nisa, A. (2024). Studi perbandingan kompetensi profesional guru Indonesia dan Thailand. Jurnal Bintang Pendidikan Indonesia, 2(4), 45–56. https://doi.org/10.55606/jubpi.v2i4.3251
Patmawati, H., & Prabawanto, S. (2022). Mathematical thinking process based on student IQ test results and talented mathematical. Journal of Physics: Conference Series, 2279(1), 12011. https://doi.org/10.1088/1742-6596/2279/1/012011
Podkhodova, N., Snegurova, V., Stefanova, N., Triapitsyna, A., & Pisareva, S. (2020). Assessment of mathematics teachers’ professional competence. Journal on Mathematics Education, 11(3), 477–500. https://doi.org/10.22342/jme.11.3.11848.477-500
Prabawanto, S. (2023). Improving prospective mathematics teachers’ reversible thinking ability through a metacognitive-approach teaching. Eurasia Journal of Mathematics, Science and Technology Education, 19(6), em2275. https://doi.org/10.29333/ejmste/13201
Radite, R., & Retnawati, H. (2023). Mathematics teacher competencies and self-efficacy in implementing national curriculum. Jurnal Didaktik Matematika, 10(2). https://doi.org/10.24815/jdm.v10i2.32653
Renninger, K. A., & Hidi, S. (2015). The power of interest for motivation and engagement. Routledge.
Sandriyani, M., Fitria, H., & Wahidy, A. (2021). The influence of teacher competence and motivation on the teacher’s performance of SMP Negeri 11 Palembang. International Conference on Education Universitas PGRI Palembang (INCoEPP 2021), 1301–1304. https://doi.org/10.2991/assehr.k.210716.260
Saputra, H. (2024). Perkembangan berpikir matematis pada anak usia sekolah dasar. JEMARI (Jurnal Edukasi Madrasah Ibtidaiyah), 6(2), 53–64.
Sarjana, K., & Kertiyani, N. M. I. (2022). Verbal and numerical ability: Their correlation with mathematical modeling ability. Media Pendidikan Matematika, 10(2), 144–154.
Septin, A. C., Rumijati, A., & Febriani, R. (2024). Do motivation and competence influence the performance of teachers in vocational schools? Business Innovation Management and Entrepreneurship Journal, 3(01), 42–58. https://doi.org/10.22219/bimantara.v3i01.30181
Shahid, Z., Fatima, K., Siddiqui, F., & Panhwar, G. (2022). Association of career choice and motivation with academic performance. J Xi’an Shiyou Univ, 18(9), 125.
Skuza, A., Woldu, H. G., & Alborz, S. (2022). Who is talent? Implications of talent definitions for talent management practice. Economics and Business Review, 8(4), 136–162. https://doi.org/10.18559/ebr.2022.4
Spies, F., Schauer, L., Bindel, T., & Pfeiffer, M. (2022). Talent detection—importance of the will and the ability when starting a sport activity. German Journal of Exercise and Sport Research, 52(4), 647–656. https://doi.org/10.1007/s12662-022-00796-0
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/S11165-016-9602-2
Vî?cu, L.-I., C?dariu, I.-E., & Watkins, C. E. (2023). Chapter 3.3 - Pedagogical competencies (L.-I. Vî?cu, I.-E. C?dariu, & C. E. B. T.-C. B. T. for C. S. Watkins (eds.); pp. 117–131). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-19254-8.00012-9
Wang, Y., Zai, F., & Zhou, X. (2025). The impact of emotion regulation strategies on teachers’ well-being and positive emotions: A meta-analysis. In Behavioral Sciences (Vol. 15, Issue 3). https://doi.org/10.3390/bs15030342
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 177–195. https://doi.org/10.2307/20650284
Widyastono, H. (2013). Minat terhadap profesi guru, pengetahuan tentang penilaian hasil belajar, dan kualitas kurikulum buatan guru. Jurnal Pendidikan Dan Kebudayaan, 19(2), 222–235. https://doi.org/10.24832/jpnk.v19i2.282
Wigfield, A., & Eccles, J. S. (2000). Expectancy–value theory of achievement motivation. Contemporary Educational Psychology, 25(1), 68–81. https://doi.org/10.1006/ceps.1999.1015
Williams, A. M., & Hodges, N. J. (2023). Effective practice and instruction: A skill acquisition framework for excellence. Journal of Sports Sciences, 41(9), 833–849. https://doi.org/10.1080/02640414.2023.2240630
Wiyono, G. (2020). Merancang penelitian bisnis dengan alat analisis SPSS 25 & SmartPLS 3.2. 8 (Edisi kedu). UPP STIM YKPN.
Xu, J., Li, J., & Yang, J. (2024). Self-regulated learning strategies, self-efficacy, and learning engagement of EFL students in smart classrooms: A structural equation modeling analysis. System, 125, 103451. https://doi.org/10.1016/j.system.2024.103451
Yang, X., & Kaiser, G. (2022). The impact of mathematics teachers’ professional competence on instructional quality and students’ mathematics learning outcomes. Current Opinion in Behavioral Sciences, 48, 101225. https://doi.org/10.1016/j.cobeha.2022.101225
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