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Articles
Published: 14-09-2026

FROM PREPARATION TO PERFORMANCE: MAPPING HOW PRE-SERVICE TEACHER EDUCATION SHAPES TEACHER PERFORMANCE

Universitas PGRI Adibuana
Universitas PGRI Adi Buana Surabaya
Universitas PGRI Adi Buana Surabaya
pre-service teacher education, teacher performance, teaching practicum, mentoring, self-efficacy, digital competence, artificial intelligence, systematic literature review

Abstract

Pre-service teacher education is expected to translate academic knowledge into the professional capabilities required for effective classroom practice, yet evidence concerning how specific programme components contribute to teacher performance remains fragmented across practicum, pedagogical competence, self-efficacy, mentoring, assessment, data use, digital competence, and emerging artificial intelligence (AI) capabilities. This systematic literature review synthesised and mapped evidence on how pre-service teacher education contributes to teacher performance. The review followed the PRISMA 2020 reporting framework. The source manuscript reports 385 records identified through academic database searching, 50 records retained after initial screening, 31 considered highly relevant after title, abstract, keyword, and thematic assessment, and 25 studies included in the final synthesis. The included literature, published between 2019 and 2025, represented diverse national and methodological contexts. Thematic synthesis identified six interrelated contribution domains: (1) practicum and authentic teaching practice; (2) pedagogical competence and instructional efficiency; (3) preparedness, self-efficacy, and professional engagement; (4) mentoring, feedback, assessment, and data literacy; (5) digital and AI competence; and (6) professional identity and subject-specific competence. Across the evidence base, programme inputs alone were insufficient to explain performance development. Contribution was more consistently associated with the quality of the learning process connecting coursework and clinical experience through modelling, feedback, reflection, assessment, and professional reasoning. The review therefore proposes an input–process–performance framework in which programme components function through structured professional learning processes to shape observable and perceived performance capabilities. The synthesis also identifies important boundary conditions, including the authenticity of classroom experience, mentoring quality, assessment design, technological support, and the continued reliance on self-report measures. The findings support a shift from viewing teacher preparation as a collection of courses toward viewing it as an integrated professional learning system.

References

  1. Abraham, J., Ferfolja, T., Sickel, A., Power, A., Curry, C., Fraser, D., & Mackay, K. (2021). Development and validation of a scale to explore pre-service teachers’ sense of preparedness, engagement and self-efficacy in classroom teaching. Australian Journal of Teacher Education, 46(1).
  2. Afalla, B. T., & Fabelico, F. L. (2020). Pre-service teachers’ pedagogical competence and teaching efficiency. Journal of Critical Reviews, 7(11). https://doi.org/10.31838/jcr.07.11.36
  3. Brown, A. L., Myers, J., & Collins, D. (2021). How pre-service teachers’ sense of teaching efficacy and preparedness to teach impact performance during student teaching. Educational Studies, 47(1). https://doi.org/10.1080/03055698.2019.1651696
  4. Cabello, V. M., & Topping, K. J. (2020). Peer assessment of teacher performance: What works in teacher education? International Journal of Cognitive Research in Science, Engineering and Education, 8. https://doi.org/10.5937/IJCRSEE2002121C
  5. Cañadas, L. (2023). Contribution of formative assessment for developing teaching competences in teacher education. European Journal of Teacher Education, 46(3). https://doi.org/10.1080/02619768.2021.1950684
  6. Chaw, E. P., & Kopp, E. (2021). Student-teachers’ experiences during practicum in pre-service teacher education in Myanmar. LUMEN Proceedings, 16, 101–120. https://doi.org/10.18662/lumproc/atee2020/08
  7. Guan, L., Zhang, Y., & Gu, M. M. (2025). Pre-service teachers preparedness for AI-integrated education: An investigation from perceptions, capabilities, and teachers’ identity changes. Computers and Education: Artificial Intelligence, 8, 100341. https://doi.org/10.1016/j.caeai.2024.100341
  8. Choi, L. J., & Park, M. Y. (2022). Teaching practicum during COVID-19: Pre-service English language teachers’ professional identities and motivation. SAGE Open, 12(3). https://doi.org/10.1177/21582440221119472
  9. Darling-Hammond, L. (2023). Response to “How teacher education matters.” Journal of Teacher Education, 74(2). https://doi.org/10.1177/00224871231160378
  10. Dolezal, D., Motschnig, R., & Ambros, R. (2025). Pre-service teachers’ digital competence: A call for action. Education Sciences, 15(2), 160. https://doi.org/10.3390/educsci15020160
  11. Ellis, N. J., Alonzo, D., & Nguyen, H. T. M. (2020). Elements of a quality pre-service teacher mentor: A literature review. Teaching and Teacher Education, 92, 103072. https://doi.org/10.1016/j.tate.2020.103072
  12. Ene, C. U., Ugwuanyi, C. S., Okeke, C. I. O., Nworgu, B. G., Okeke, A. O., Agah, J. J., Oguguo, B. C., Ikeh, F. E., Eze, K. O., Ugwu, F. C., Agugoesi, O. J., Nnadi, E. M., Eze, U. N., Ngwoke, D. U., & Ekwueme, U. H. (2020). Factorial validation of teachers’ self-efficacy scale using pre-service teachers: Implications for teacher education curriculum. International Journal of Higher Education, 10(1), 113–124. https://doi.org/10.5430/ijhe.v10n1p113
  13. Esen Aygün, H. (2019). The prediction of the teaching readiness level of prospective teachers in terms of curriculum literacy. Uluslararası Eğitim Programları ve Öğretim Çalışmaları Dergisi, 9(2). https://doi.org/10.31704/ijocis.2019.009
  14. Fan, Y., & Xie, Z. (2025). Exploring preservice EFL teacher anxiety in the teaching practicum: An ecological case study in China. Asia-Pacific Education Researcher, 34(2). https://doi.org/10.1007/s40299-024-00887-6
  15. Francois, J. (2020). The relationship between pre-service training and teaching self-efficacy for inclusive practices. Educational Considerations, 45(3). https://doi.org/10.4148/0146-9282.2182
  16. Greve, S., Weber, K. E., Brandes, B., & Maier, J. (2020). Development of pre-service teachers’ teaching performance in physical education during a long-term internship: Analysis of classroom videos using the Classroom Assessment Scoring System K–3. German Journal of Exercise and Sport Research, 50(3). https://doi.org/10.1007/s12662-020-00651-0
  17. Han, X. (2025). Improving pre-service teachers’ AI competencies: A quasi-experimental study. Frontiers in Psychology, 16, 1642465. https://doi.org/10.3389/fpsyg.2025.1642465
  18. Kartal, O., & Tillett, W. (2021). Transforming preservice teachers’ conceptions and lesson plan designs for teaching mathematics from a direct-teaching approach to a reform-based approach. Investigations in Mathematics Learning, 13(2). https://doi.org/10.1080/19477503.2020.1847988
  19. Kennedy-Clark, S., Galstaun, V., & Reimann, P. (2021). Preparing pre-service teachers for teaching performance assessments using the OTTO model. Teachers and Teaching: Theory and Practice, 27(1–4). https://doi.org/10.1080/13540602.2021.1933420
  20. Kihwele, J. E., & Mtandi, R. (2020). Impact of teaching practice on pre-service teachers’ pedagogical competencies in Tanzania. East African Journal of Education and Social Sciences, 1(1). https://doi.org/10.46606/eajess2020v01i01.0011
  21. Kilicoglu, G., Kilicoglu, D., & Cho, Y. H. (2023). The relationship between pre-service teachers’ technology integration self-efficacy, TPACK, and attitudes towards technology integration. Education and Information Technologies, 28(1), 203–221. https://doi.org/10.1007/s10639-022-11165-7
  22. Koşar, G. (2021). Distance teaching practicum: Its impact on pre-service EFL teachers’ preparedness for teaching. IAFOR Journal of Education, 9(2). https://doi.org/10.22492/ije.9.2.07
  23. Moorhouse, B. L., Wan, Y., Wu, C., Kohnke, L., Ho, T. Y., & Kwong, T. (2024). Developing language teachers’ professional generative AI competence: An intervention study in an initial language teacher education course. System, 125, 103399. https://doi.org/10.1016/j.system.2024.103399
  24. McDowall, A., Mills, C., Cawte, K., & Miller, J. (2021). Data use as the heart of data literacy: An exploration of pre-service teachers’ data literacy practices in a teaching performance assessment. Asia-Pacific Journal of Teacher Education, 49(5). https://doi.org/10.1080/1359866X.2020.1777529
  25. Mok, S. Y., & Staub, F. C. (2021). Does coaching, mentoring, and supervision matter for pre-service teachers’ planning skills and clarity of instruction? A meta-analysis of (quasi-)experimental studies. Teaching and Teacher Education, 107, 103484. https://doi.org/10.1016/j.tate.2021.103484
  26. Mufidah, N. (2019). The development of pre-service teachers’ teaching performance in the teaching practice program at English Department of State Islamic University of Antasari Banjarmasin. Dinamika Ilmu, 19(1). https://doi.org/10.21093/di.v19i1.1469
  27. Ngidi, D. P., & Ngidi, S. A. (2019). Determination of factors influencing pre-service teachers’ sense of self-efficacy. South African Journal of Higher Education, 33(5). https://doi.org/10.20853/33-5-3598
  28. Page, M. J., McKenzie, J. E., Bossuyt, P. M., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
  29. Page, M. J., Moher, D., Bossuyt, P. M., et al. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, n160. https://doi.org/10.1136/bmj.n160
  30. Park, M., & Son, J. B. (2022). Pre-service EFL teachers’ readiness in computer-assisted language learning and teaching. Asia Pacific Journal of Education, 42(2). https://doi.org/10.1080/02188791.2020.1815649
  31. Phang, B. L., Sani, B. B., & Azmin, N. A. M. (2020). Investigating mentor teachers’ roles in mentoring pre-service teachers’ teaching practicum: A Malaysian study. English Language Teaching, 13(11). https://doi.org/10.5539/elt.v13n11p1
  32. Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial intelligence and learning analytics in teacher education: A systematic review. Education Sciences, 12(8), 569. https://doi.org/10.3390/educsci12080569
  33. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
  34. Soini, A., Watt, A., & Sääkslahti, A. (2021). Finnish pre-service teachers’ perceptions of perceived competence in early childhood physical education. International Journal of Environmental Research and Public Health, 18(12), 6454. https://doi.org/10.3390/ijerph18126454
  35. Sperling, K., Stenberg, C. J., McGrath, C., Åkerfeldt, A., Heintz, F., & Stenliden, L. (2024). In search of artificial intelligence (AI) literacy in teacher education: A scoping review. Computers and Education Open, 6, 100169. https://doi.org/10.1016/j.caeo.2024.100169
  36. Thomas, J., & Harden, A. (2008). Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Medical Research Methodology, 8, 45. https://doi.org/10.1186/1471-2288-8-45
  37. Tomczyk, Ł. (2024). Digital competence among pre-service teachers: A global perspective on curriculum change as viewed by experts from 33 countries. Evaluation and Program Planning, 105, 102449. https://doi.org/10.1016/j.evalprogplan.2024.102449
  38. Vamos, S. D., Xie, X., & Yeung, P. (2020). Effects of a health education course on pre-service teachers’ perceived knowledge, skills, preparedness, and beliefs in teaching health education. Journal of School Health, 90(3). https://doi.org/10.1111/josh.12868
  39. Yigitoglu-Aptoula, N. (2021). Pre-service teachers’ perceptions about the efficacy of various types of feedback on micro-teaching activities. Journal of Theoretical Educational Science, 14(2).
  40. Yulhendri, M., Hendri Andi Mesta, R. Sofya, & M. Ritonga. (2020). The implementation of ICARE learning model to improve professional competence of students as economics pre-service teachers in the Industrial Revolution Era 4.0: A literature review. In Proceedings of the 4th Padang International Conference on Education, Economics, Business and Accounting (pp. 537–542). Atlantis Press. https://doi.org/10.2991/aebmr.k.200305.116
  41. Āboltiņa, L., Lāma, G., Sarva, E., Kaļķe, B., Āboliņa, A., Daniela, L., Rubene, Z., & Bernande, M. (2023). Challenges and opportunities for the development of future teachers’ professional competence in Latvia. Frontiers in Education, 8, 1307387. https://doi.org/10.3389/feduc.2023.1307387

How to Cite

Moesarofah, M., Wirastania, A., & Lathifah, M. (2026). FROM PREPARATION TO PERFORMANCE: MAPPING HOW PRE-SERVICE TEACHER EDUCATION SHAPES TEACHER PERFORMANCE . Jurnal Konseling Pendidikan Islam, 7(3). https://doi.org/10.32806/jkpi.v7i3.2099