Article section
Exploring the Impact of Teaching Self-Efficacy on Instructional Behaviors and Student Motivation in High School Mathematics: A Structural Equation Modeling Approach
Abstract
The effect of teaching self-efficacy more especially, efficacy for classroom management, instructional techniques, and student engagement on instructional behaviors and learning motivation in high school mathematics education is examined in this study. To investigate the connections between these characteristics, a total of 625 participants (42.9% male and 57.1% female) high school math students was gathered using a structural equation modeling technique. The results show that greater degrees of teaching self-efficacy greatly improve student autonomy support, cooperative learning strategies, instructional clarity, and instructional support and feedback. Additionally, it was discovered that these teaching practices had a favorable impact on students’ perceived task value in mathematics as well as their intrinsic and extrinsic motivation. According to the findings, developing teaching self-efficacy is essential for raising student motivation and refining instructional strategies. This study offers insightful information to educators and policymakers, emphasizing the necessity of focused professional development initiatives that increase teachers’ self-efficacy in these crucial areas in order to enhance mathematical learning results.
Keywords:
High School Mathematics Education Instructional Behaviors Learning Motivation Teaching Self-Efficacy
Article information
Journal
Journal of Education, Learning, and Management
Volume (Issue)
2(1), (2025)
Pages
196-211
Published
Copyright
Copyright (c) 2025 Bora Phan, Bunhe Harth, Ratha Sor (Author)
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.
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References
Addey, C. (2024). Lost in translation: PISA experts, brokers, and marionettes. Journal of Education Policy, 39(6), 879-898. https://doi.org/10.1080/02680939.2024.2321335 DOI: https://doi.org/10.1080/02680939.2024.2321335
Addey, C., & Gorur, R. (2020). Translating PISA, translating the world. Comparative Education, 56(4), 547-564. https://doi.org/10.1080/03050068.2020.1771873 DOI: https://doi.org/10.1080/03050068.2020.1771873
Aelterman, N., Vansteenkiste, M., Van Keer, H., De Meyer, J., Van den Berghe, L., Haerens, L. J. T., & Education, T. (2013). Development and evaluation of a training on need-supportive teaching in physical education: Qualitative and quantitative findings. 29, 64-75. DOI: https://doi.org/10.1016/j.tate.2012.09.001
Aseery, A. (2024). Enhancing learners’ motivation and engagement in religious education classes at elementary levels. British Journal of Religious Education, 46(1), 43-58. DOI: https://doi.org/10.1080/01416200.2023.2256487
Bao, X. H., & Lam, S. F. (2008). Who makes the choice? Rethinking the role of autonomy and relatedness in Chinese children’s motivation. Child development, 79(2), 269-283. DOI: https://doi.org/10.1111/j.1467-8624.2007.01125.x
Bartels, S. L., & Boche, B. (2024). Using a networked professional learning community to prepare pre-service teachers. In Creating, Sustaining, and Enhancing Purposeful School-University Partnerships: Building Connections Across Diverse Educational Systems (pp. 161-177). Springer. DOI: https://doi.org/10.1007/978-981-99-8838-9_9
Behr, D. (2017). Assessing the use of back translation: the shortcomings of back translation as a quality testing method. International Journal of Social Research Methodology, 20(6), 573-584. https://doi.org/10.1080/13645579.2016.1252188 DOI: https://doi.org/10.1080/13645579.2016.1252188
Black, A. E., & Deci, E. L. (2000). The effects of instructors’ autonomy support and students’ autonomous motivation on learning organic chemistry: A self‐determination theory perspective. Science education, 84(6), 740-756. DOI: https://doi.org/10.1002/1098-237X(200011)84:6<740::AID-SCE4>3.0.CO;2-3
Burgueño, R., García-González, L., Abós, Á., & Sevil Serrano, J. (2024). Students’ motivational experiences across profiles of perceived need-supportive and need-thwarting teaching behaviors in physical education. Physical Education and Sport Pedagogy, 29, 82–96. https://doi.org/10.1080/17408989.2022.2028757 DOI: https://doi.org/10.1080/17408989.2022.2028757
Cabrera, A. F., Colbeck, C. L., & Terenzini, P. T. (2001). Developing Performance Indicators for Assessing Classroom Teaching Practices and Student Learning. Research in Higher Education, 42(3), 327-352. https://doi.org/10.1023/A:1018874023323 DOI: https://doi.org/10.1023/A:1018874023323
Chan, S., Maneewan, S., & Koul, R. (2023). An examination of the relationship between the perceived instructional behaviours of teacher educators and pre-service teachers’ learning motivation and teaching self-efficacy. Educational Review, 75(2), 264-286. DOI: https://doi.org/10.1080/00131911.2021.1916440
Cheon, J., Lee, S., Crooks, S. M., Song, J. J. C., & education. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. 59(3), 1054-1064. DOI: https://doi.org/10.1016/j.compedu.2012.04.015
Chesnut, S. R., & Burley, H. (2015). Self-efficacy as a predictor of commitment to the teaching profession: A meta-analysis. Educational research review, 15, 1-16. DOI: https://doi.org/10.1016/j.edurev.2015.02.001
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745-783. https://doi.org/10.1007/s10490-023-09871-y DOI: https://doi.org/10.1007/s10490-023-09871-y
Ciani, K. D., Sheldon, K. M., Hilpert, J. C., & Easter, M. A. (2011). Antecedents and trajectories of achievement goals: A self‐determination theory perspective. British journal of educational psychology, 81(2), 223-243. DOI: https://doi.org/10.1348/000709910X517399
Clark, S., & Newberry, M. (2019). Are we building preservice teacher self-efficacy? A large-scale study examining teacher education experiences. Asia-Pacific Journal of Teacher Education, 47(1), 32-47. DOI: https://doi.org/10.1080/1359866X.2018.1497772
Cohen, J. W., Ivanova, T. D., Brouwer, B., Miller, K. J., Bryant, D., & Garland, S. J. (2018). Do Performance Measures of Strength, Balance, and Mobility Predict Quality of Life and Community Reintegration After Stroke? Arch Phys Med Rehabil, 99(4), 713-719. https://doi.org/10.1016/j.apmr.2017.12.007 DOI: https://doi.org/10.1016/j.apmr.2017.12.007
Da’as, R. a., Qadach, M., Erdogan, U., Schwabsky, N., Schechter, C., & Tschannen-Moran, M. (2021). Collective teacher efficacy beliefs: testing measurement invariance using alignment optimization among four cultures. Journal of Educational Administration, 60(2), 167-187. https://doi.org/10.1108/jea-02-2021-0032 DOI: https://doi.org/10.1108/JEA-02-2021-0032
Fackler, S., Malmberg, L.-E., & Sammons, P. (2021). An international perspective on teacher self-efficacy: Personal, structural and environmental factors. Teaching and Teacher Education, 99. https://doi.org/10.1016/j.tate.2020.103255 DOI: https://doi.org/10.1016/j.tate.2020.103255
Fan, Y.-S. (2022). Facilitating content knowledge, language proficiency, and academic competence through digital storytelling: Performance and perceptions of first-year medical-related majors. Journal of Research on Technology in Education, 56(2), 129-150. https://doi.org/10.1080/15391523.2022.2110337 DOI: https://doi.org/10.1080/15391523.2022.2110337
Federici, R. A., & Skaalvik, E. M. (2014). Students’ perception of instrumental support and effort in mathematics: The mediating role of subjective task values. Social Psychology of Education, 17, 527-540. DOI: https://doi.org/10.1007/s11218-014-9264-8
Feldman, K. A. (1986). The perceived instructional effectiveness of college teachers as related to their personality and attitudinal characteristics: A review and synthesis. Research in Higher Education, 24(2), 139-213. https://doi.org/10.1007/BF00991885 DOI: https://doi.org/10.1007/BF00991885
Gillies, R. M., Ashman, A. F., & Terwel, J. (2007). The teacher’s role in implementing cooperative learning in the classroom: An introduction. The teacher’s role in implementing cooperative learning in the classroom, 1. DOI: https://doi.org/10.1007/978-0-387-70892-8
Goodboy, A. K., & Kline, R. B. (2017). Statistical and Practical Concerns With Published Communication Research Featuring Structural Equation Modeling. Communication Research Reports, 34(1), 68-77. https://doi.org/10.1080/08824096.2016.1214121 DOI: https://doi.org/10.1080/08824096.2016.1214121
Guay, F., Valois, P., Falardeau, É., & Lessard, V. (2016). Examining the effects of a professional development program on teachers’ pedagogical practices and students’ motivational resources and achievement in written French. Learning and Individual Differences, 45, 291-298. DOI: https://doi.org/10.1016/j.lindif.2015.11.014
Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3), 100392. https://doi.org/https://doi.org/10.1016/j.jfbs.2020.100392 DOI: https://doi.org/10.1016/j.jfbs.2020.100392
Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069 DOI: https://doi.org/10.1016/j.jbusres.2019.11.069
Hair, J. F., Sharma, P. N., Sarstedt, M., Ringle, C. M., & Liengaard, B. D. (2024). The shortcomings of equal weights estimation and the composite equivalence index in PLS-SEM. European Journal of Marketing, 58(13), 30-55. https://doi.org/10.1108/ejm-04-2023-0307 DOI: https://doi.org/10.1108/EJM-04-2023-0307
Heng, K. (2014). The effects of faculty behaviors on the academic achievement of first-year Cambodian urban university students. Educational Research for Policy and Practice, 13(3), 233-250. https://doi.org/10.1007/s10671-013-9159-z
Heng, K. (2014). The effects of faculty behaviors on the academic achievement of first-year Cambodian urban university students. Educational Research for Policy and Practice, 13, 233-250. DOI: https://doi.org/10.1007/s10671-013-9159-z
Hofferber, N., Eckes, A., & Wilde, M. (2014). Effects of autonomy supportive vs. controlling teachers’ behavior on students’ achievement. European Journal of Educational Research, 3(4), 177-184. DOI: https://doi.org/10.12973/eu-jer.3.4.177
Hopwood, N., Palmer, T.-A., Koh, G. A., Lai, M. Y., Dong, Y., Loch, S., & Yu, K. (2024). Understanding student emotions when completing assessment: technological, teacher and student perspectives. International Journal of Research & Method in Education, 1-16. https://doi.org/10.1080/1743727x.2024.2358792 DOI: https://doi.org/10.1080/1743727X.2024.2358792
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118 DOI: https://doi.org/10.1080/10705519909540118
Jang, H., Reeve, J., & Deci, E. L. (2010). Engaging students in learning activities: It is not autonomy support or structure but autonomy support and structure. Journal of educational psychology, 102(3), 588. DOI: https://doi.org/10.1037/a0019682
Johnson, D. W., & Johnson, R. T. (2018). Cooperative learning: The foundation for active learning. Active learning—Beyond the future, 59-71. DOI: https://doi.org/10.5772/intechopen.81086
Jurik, V., Gröschner, A., & Seidel, T. (2014). Predicting students’ cognitive learning activity and intrinsic learning motivation: How powerful are teacher statements, student profiles, and gender?. Learning and individual differences, 32, 132-139. DOI: https://doi.org/10.1016/j.lindif.2014.01.005
Katz, I., & Moè, A. (2024). Exploring teachers’ psychological needs, motivating styles, emotion regulation and self-compassion: A comparative study before and during the COVID-19 lockdown. Teaching and Teacher Education, 148, 104706. DOI: https://doi.org/10.1016/j.tate.2024.104706
Kember, D., & Leung, D. Y. (2005). The influence of active learning experiences on the development of graduate capabilities. Studies in Higher Education, 30(2), 155-170. DOI: https://doi.org/10.1080/03075070500043127
Keramati, M. R., & Gillies, R. M. (2022). Teaching cooperative learning through cooperative learning environment: a qualitative follow-up of an experimental study. Interactive Learning Environments, 32(3), 879-891. https://doi.org/10.1080/10494820.2022.2100429 DOI: https://doi.org/10.1080/10494820.2022.2100429
Kuh, G. D., Kinzie, J., Schuh, J. H., & Whitt, E. J. (2011). Fostering student success in hard times. Change: The magazine of higher learning, 43(4), 13-19. DOI: https://doi.org/10.1080/00091383.2011.585311
Lake, W., Boyd, W., & Boyd, W. (2017). Understanding How Students Study: The Genealogy and Conceptual Basis of A Widely Used Pedagogical Research Tool, Biggs’ Study Process Questionnaire. International Education Studies, 10(5). https://doi.org/10.5539/ies.v10n5p100 DOI: https://doi.org/10.5539/ies.v10n5p100
Lam, K. S. L., & Aman, M. G. (2007). The Repetitive Behavior Scale-Revised: Independent Validation in Individuals with Autism Spectrum Disorders. Journal of Autism and Developmental Disorders, 37(5), 855-866. https://doi.org/10.1007/s10803-006-0213-z DOI: https://doi.org/10.1007/s10803-006-0213-z
Larsen, A., & Bradbury, O. (2024). Examining strategies to support teacher self-efficacy when working with diverse student groups: A scoping literature review. Inclusion and Social Justice in Teacher Education, 79-97. DOI: https://doi.org/10.1007/978-3-031-67612-3_5
Lauermann, F., & ten Hagen, I. (2021). Do teachers’ perceived teaching competence and self-efficacy affect students’ academic outcomes? A closer look at student-reported classroom processes and outcomes. Educational psychologist, 56(4), 265-282. DOI: https://doi.org/10.1080/00461520.2021.1991355
Lazarides, R., Gaspard, H., & Dicke, A. L. (2019). Dynamics of classroom motivation: Teacher enthusiasm and the development of math interest and teacher support. Learning and Instruction, 60, 126-137. DOI: https://doi.org/10.1016/j.learninstruc.2018.01.012
Linnenbrink-Garcia, L., Middleton, M. J., Ciani, K. D., Easter, M. A., O’Keefe, P. A., & Zusho, A. (2012). The strength of the relation between performance-approach and performance-avoidance goal orientations: Theoretical, methodological, and instructional implications. Educational Psychologist, 47(4), 281-301. DOI: https://doi.org/10.1080/00461520.2012.722515
Liu, R., Jong, C., & Fan, M. (2024). Reciprocal relationship between self-efficacy and achievement in mathematics among high school students: First author. Large-scale Assessments in Education, 12(1), 14. DOI: https://doi.org/10.1186/s40536-024-00201-2
Ma, K., & Cavanagh, M. (2024). A longitudinal inquiry of sources of teacher self-efficacy: from the professional experience into the first year of teaching. European Journal of Teacher Education, 1-16. DOI: https://doi.org/10.1080/02619768.2024.2311695
Marsh, H. W., Hau, K.-T., Artelt, C., Baumert, J., & Peschar, J. L. (2006). OECD’s Brief Self-Report Measure of Educational Psychology’s Most Useful Affective Constructs: Cross-Cultural, Psychometric Comparisons Across 25 Countries. International Journal of Testing, 6(4), 311-360. https://doi.org/10.1207/s15327574ijt0604_1 DOI: https://doi.org/10.1207/s15327574ijt0604_1
Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., & Trautwein, U. (2009). Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students’ Evaluations of University Teaching. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 439-476. https://doi.org/10.1080/10705510903008220 DOI: https://doi.org/10.1080/10705510903008220
Maulana, R., Opdenakker, M. C., & Bosker, R. (2016). Teachers’ instructional behaviors as important predictors of academic motivation: Changes and links across the school year. Learning and Individual Differences, 50, 147-156. DOI: https://doi.org/10.1016/j.lindif.2016.07.019
Morris, D. B., & Usher, E. L. (2011). Developing teaching self-efficacy in research institutions: A study of award-winning professors. Contemporary Educational Psychology, 36(3), 232-245. https://doi.org/10.1016/j.cedpsych.2010.10.005 DOI: https://doi.org/10.1016/j.cedpsych.2010.10.005
Mouratidis, A., Vansteenkiste, M., Michou, A., & Lens, W. (2013). Perceived structure and achievement goals as predictors of students’ self-regulated learning and affect and the mediating role of competence need satisfaction. Learning and Individual Differences, 23, 179-186. DOI: https://doi.org/10.1016/j.lindif.2012.09.001
Na, C., & Isa, Z. M. (2024). Exploring the Influence of Teacher Self-Efficacy on Teaching Quality in Higher Vocational Education. Journal of Digitainability, Realism & Mastery (DREAM), 3(07), 16-27. https://doi.org/10.56982/dream.v3i07.246 DOI: https://doi.org/10.56982/dream.v3i07.246
Norton, S., McRobbie, C. J., & Cooper, T. J. (2002). Teachers’ responses to an investigative mathematics syllabus: Their goals and practices. Mathematics Education Research Journal, 14(1), 37-59. https://doi.org/10.1007/BF03217115 DOI: https://doi.org/10.1007/BF03217115
Oriol-Granado, X., Mendoza-Lira, M., Covarrubias-Apablaza, C. G., & Molina-López, V. M. (2017). Positive emotions, autonomy support and academic performance of university students: The mediating role of academic engagement and self-efficacy. Revista de Psicodidáctica (English ed.), 22(1), 45-53. DOI: https://doi.org/10.1387/RevPsicodidact.14280
Patall, E. A., Cooper, H., & Robinson, J. C. (2008). The effects of choice on intrinsic motivation and related outcomes: a meta-analysis of research findings. Psychological bulletin, 134(2), 270. DOI: https://doi.org/10.1037/0033-2909.134.2.270
Patall, E. A., Dent, A. L., Oyer, M., & Wynn, S. R. (2013). Student autonomy and course value: The unique and cumulative roles of various teacher practices. Motivation and Emotion, 37, 14-32. DOI: https://doi.org/10.1007/s11031-012-9305-6
Patall, E. A., & Zambrano, J. (2019). Facilitating student outcomes by supporting autonomy: Implications for practice and policy. Policy Insights from the Behavioral and Brain Sciences, 6(2), 115-122. DOI: https://doi.org/10.1177/2372732219862572
Pitkäniemi, H., Hirvonen, R., Heikka, J., & Suhonen, K. (2024). Teacher Efficacy, Its Sources, and Implementation in Early Childhood Education. Early Childhood Education Journal, 1-11. https://doi.org/10.1007/s10643-024-01713-w DOI: https://doi.org/10.1007/s10643-024-01713-w
Pov, S., Kawai, N., & Matsumiya, N. (2020). Determinants of student achievement at lower secondary schools in rural Cambodia. Educational Research for Policy and Practice, 20(2), 207-222. https://doi.org/10.1007/s10671-020-09276-4 DOI: https://doi.org/10.1007/s10671-020-09276-4
Reeve, J., & Jang, H. (2006). What teachers say and do to support students’ autonomy during a learning activity. Journal of educational psychology, 98(1), 209. DOI: https://doi.org/10.1037/0022-0663.98.1.209
Reeve, J., Nix, G., & Hamm, D. (2003). Testing models of the experience of self-determination in intrinsic motivation and the conundrum of choice. Journal of educational psychology, 95(2), 375. DOI: https://doi.org/10.1037/0022-0663.95.2.375
Rivkin, S. G., Hanushek, E. A., & Kain, J. F. (2005). Teachers, schools, and academic achievement. Econometrica, 73(2), 417-458. DOI: https://doi.org/10.1111/j.1468-0262.2005.00584.x
Roksa, J., Kilgo, C. A., Trolian, T. L., Pascarella, E. T., Blaich, C., & Wise, K. S. (2017). Engaging with diversity: How positive and negative diversity interactions influence students’ cognitive outcomes. The Journal of Higher Education, 88(3), 297-322. DOI: https://doi.org/10.1080/00221546.2016.1271690
Ryan, R. M. (2024). Comments on Integration, Theory Conflicts, and Practical Implementations: Some Contrarian Ideas for Consideration. Educational Psychology Review, 36(1). https://doi.org/10.1007/s10648-024-09858-1 DOI: https://doi.org/10.1007/s10648-024-09858-1
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary educational psychology, 61, 101860. DOI: https://doi.org/10.1016/j.cedpsych.2020.101860
Sabanci, D., Yurekli, K., Comert, M. M., Kilicarslan, S., & Erdogan, M. (2023). Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models. Hydrological Sciences Journal, 68(7), 1050-1063. https://doi.org/10.1080/02626667.2023.2203824 DOI: https://doi.org/10.1080/02626667.2023.2203824
Semmer, N. K., Elfering, A., Jacobshagen, N., Perrot, T., Beehr, T. A., & Boos, N. (2008). The emotional meaning of instrumental social support. International journal of stress management, 15(3), 235. DOI: https://doi.org/10.1037/1072-5245.15.3.235
Skaalvik, E. M., & Skaalvik, S. (2016). Teacher Stress and Teacher Self-Efficacy as Predictors of Engagement, Emotional Exhaustion, and Motivation to Leave the Teaching Profession. Creative Education, 07(13), 1785-1799. https://doi.org/10.4236/ce.2016.713182 DOI: https://doi.org/10.4236/ce.2016.713182
Skinner, E. A., & Belmont, M. J. (1993). Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year. Journal of educational psychology, 85(4), 571. DOI: https://doi.org/10.1037//0022-0663.85.4.571
Smith, T. D., & McMillan, B. F. (2001). A Primer of Model Fit Indices in Structural Equation Modeling.
Tani, M., Gheith, M. H., & Papaluca, O. (2021). Drivers of student engagement in higher education: a behavioral reasoning theory perspective. Higher Education, 82(3), 499-518. https://doi.org/10.1007/s10734-020-00647-7 DOI: https://doi.org/10.1007/s10734-020-00647-7
Teig, N., Scherer, R., & Nilsen, T. (2019). I know I can, but do I have the time? The role of teachers’ self-efficacy and perceived time constraints in implementing cognitive-activation strategies in science. Frontiers in psychology, 10, 1697. https://doi.org/10.3389/fpsyg.2019.01697 DOI: https://doi.org/10.3389/fpsyg.2019.01697
Terenzini, P. T., Cabrera, A. F., Colbeck, C. L., Parente, J. M., & Bjorklund, S. A. (2001). Collaborative learning vs. lecture/discussion: Students’ reported learning gains. Journal of Engineering Education, 90(1), 123-130. DOI: https://doi.org/10.1002/j.2168-9830.2001.tb00579.x
Thoonen, E. E. J., Sleegers, P. J. C., Peetsma, T. T. D., & Oort, F. J. (2010). Can teachers motivate students to learn? Educational Studies, 37(3), 345-360. https://doi.org/10.1080/03055698.2010.507008 DOI: https://doi.org/10.1080/03055698.2010.507008
Toland, M. D., & De Ayala, R. J. (2005). A multilevel factor analysis of students’ evaluations of teaching. Educational and Psychological Measurement, 65(2), 272-296. DOI: https://doi.org/10.1177/0013164404268667
Tschannen-Moran, M., Hoy, A. W., & Hoy, W. K. (1998). Teacher efficacy: Its meaning and measure. Review of educational research, 68(2), 202-248. https://doi.org/10.3102/00346543068002202 DOI: https://doi.org/10.3102/00346543068002202
Tschannen-Moran, M., & Hoy, A. W. (2001). Teacher efficacy: Capturing an elusive construct. Teaching and Teacher Education, 17(7), 783-805. https://doi.org/10.1016/S0742-051X(01)00036-1 DOI: https://doi.org/10.1016/S0742-051X(01)00036-1
Wang, Y., Wang, Y., Pan, Z., & Ortega-Martín, J. L. (2023). The Predicting Role of EFL Students’ Achievement Emotions and Technological Self-efficacy in Their Technology Acceptance. The Asia-Pacific Education Researcher, 33(4), 771-782. https://doi.org/10.1007/s40299-023-00750-0 DOI: https://doi.org/10.1007/s40299-023-00750-0
Williams, D. M., & Rhodes, R. E. (2016). The confounded self-efficacy construct: conceptual analysis and recommendations for future research. Health psychology review, 10(2), 113-128. https://doi.org/10.1080/17437199.2014.941998 DOI: https://doi.org/10.1080/17437199.2014.941998
Wullschleger, A., Garrote, A., Schnepel, S., Jaquiéry, L., & Opitz, E. M. (2020). Effects of teacher feedback behavior on social acceptance in inclusive elementary classrooms: Exploring social referencing processes in a natural setting. Contemporary Educational Psychology, 60, 101841. DOI: https://doi.org/10.1016/j.cedpsych.2020.101841
Yurekli, B., & Stein, M. K. (2024). based design of coaching for ambitious mathematics instruction. Journal of Mathematics Teacher Education, 1-28. https://doi.org/10.1007/s10857-024-09637-3 DOI: https://doi.org/10.1007/s10857-024-09637-3
Zeegers, P. (2002). A Revision of the Biggs’ Study Process Questionnaire (R-SPQ). Higher Education Research & Development, 21(1), 73-92. https://doi.org/10.1080/07294360220124666 DOI: https://doi.org/10.1080/07294360220124666
Zheng, H., Chen, H., & Tao, J. (2024). Connecting collaborative practicums to beliefs: The development of nonnative student teachers’ self-efficacy in native-nonnative trainee collaboration. System, 123, 103326. DOI: https://doi.org/10.1016/j.system.2024.103326
Zientek, A., Schagerl, M., Nagy, M., Wanek, W., Heinz, P., Ali, S. S., & Lintner, M. (2024). Effect of micro-plastic particles on coral reef foraminifera. Scientific Reports, 14(1), 12423. DOI: https://doi.org/10.1038/s41598-024-63208-3