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Multilevel latent profile analysis of Korean middle school student perceptions of teaching methods

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Abstract

This study explored the heterogeneous nature of student perceptions of teaching methods and investigated the predictors at the student and school level using data from the Analysis on the Qualitative Level and Actual Condition of School Education: Middle School in Korea. Additionally, the study compared the means of creative competencies according to every profile of teaching methods. Five distinct profiles were identified via the application of multilevel latent profile analysis to capture the structure of nested data: the high integrated profile, high teacher-centered and high discovery learning profile, lecture-centered and low collaborative profile, average profile, and low questioning and low discussion profile. Profile membership was found to be closely related to student characteristics (academic achievement, class understanding, academic self-concept, and class attitudes) and school-level factors (degree of performance assessment use and teacher efficacy). The study’s findings revealed that the high integrated profile demonstrated significantly higher levels of creative competencies vis-à-vis other profile groups. This study offers suggestions for the improvement of current classroom instruction practices.

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Notes

  1. This is a revised paper previously presented at the AERA Annual Meeting, San Francisco, CA, Apr. 17–21, 2020 (Conference Canceled).

References

  • Adolph, S., Tisch, M., & Metternich, J. (2014). Challenges and approaches to competency development for future production. Educational Alternatives, 12, 1001–1010.

    Google Scholar 

  • Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Three-step approaches using Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 21(3), 329–341.

    Article  Google Scholar 

  • Beghetto, R. A. (2010). Creativity in classroom. In J. C. Kaufman & R. J. Sternberg (Eds.), The Cambridge handbook of creativity (pp. 447–466). Cambridge University Press.

  • Boaler, J. (2002). The development of disciplinary relationships: Knowledge, practice, and identity in mathematics classroom. Paper presented at the annual meeting of the International Group for Psychology of Mathematics Education (1–9), Norwich, UK. Retrieved from https://files.eric.ed.gov/fulltext/ED476091.pdf. Accessed 28 Feb 2020.

  • Brekelmans, M., Sleegers, P., & Fraser, B. (2000). Teaching for active learning. In: P. R. J. Simons, J. L. van der Linden, & T. Duffy (Eds.), New learning (pp. 227–242). Dordrecht: Kluwer Academic Publishers.

  • Brok, den P. J. (2001). Teaching and student outcomes: A study on teachers’ thoughts and actions from an interpersonal and a learning activities perspective. W.C.C.

  • Brok, den P. J., Bergen, T., Robert, J. S., & Berkelmans, M. (2004). Students’ perceptions of teacher control behaviours. Learning and Instruction, 14(4), 425–443.

  • Brookhart, S. M. (2013). How to create and use rubrics for formative assessment and grading. Alexandria, VA: ASCD.

  • Brown, G. T. L., & Hirschfeld, G. H. F. (2008). Students’ conceptions of assessment: Links to outcomes. Assessment in Education: Principles, Policy and Practice, 1(15), 3–17.

    Google Scholar 

  • Brown, G. T. L., Peterson, E. R., & Yao, E. S. (2016). Student conceptions of feedback: Impact on self-regulation, self-efficacy, and academic achievement. British Journal of Educational Psychology, 86(4), 606–629.

    Article  Google Scholar 

  • Cha, S. H. (2012). Exploring factors that affect high school students’ perception of the level of teacher professionalism. Korean Journal of Educational Administration, 30(4), 437–458.

    Google Scholar 

  • Chamorro-Premuzic, T., Furnham, A., & Lewis, M. (2007). Personality and approaches to learning predict preference for different teaching methods. Learning and Individual Differences, 17(3), 241–250.

    Article  Google Scholar 

  • Chi, E. L., Yang, M. H., & Cheong, Y. S. (2011). Effects of teachers` activities for instruction and evaluation on students` self-regulated learning and academic achievement. The Study of Elementary Education, 24(4), 165–184.

    Google Scholar 

  • Cho, Y. S., Chung, H. Y., Choi, K. L., Baek, E. J., & Jeong, J. E. (2011). Teacher-student interactions in the teaching and learning contexts where creativity emerges. The Journal of Elementary Education, 24(4), 185–210.

    Google Scholar 

  • Choi, M. J. (2007). The task and meaning of teacher. Journal of Learner-Centered Curriculum and Instruction, 7(1), 431–447.

    Google Scholar 

  • Curtin, E. (2005). Instructional styles used by regular classroom teachers while teaching recently mainstreamed ESL students: Six urban middle school teachers in Texas share their experiences and perceptions. Multicultural Education, 12(4), 36–42.

    Google Scholar 

  • Dev, S. S., & Qayyum, N. (2017). Major factors affecting students’ perception towards faculty evaluation of teaching(SET). Journal of Social Studies Education Research, 8(3), 149–167.

  • Epstein, R., Schmidt, S. M., & Warfel, R. (2008). Measuring and training creativity competencies: Validation of a new test. Creativity Research Journal, 20(1), 7–12.

    Article  Google Scholar 

  • Farkas, R. D. (2003). Effects of traditional versus learning-styles instructional methods on middle school students. The Journal of Educational Research, 97(1), 42–51.

    Article  Google Scholar 

  • Fisher, D., Brok, P., & Rickards, T. (2006). Factors influencing students’ perceptions of their teachers’ interpersonal behaviour: A multilevel analysis. In D. Fisher & M. S. Khine (Eds.), Contemporary approaches to research on learning environments worldviews (pp. 51–74). World Scientific Publishing.

  • Fraser, B. J. (1982). Differences between student and teacher perceptions of actual and preferred classroom Learning Environment. Educational Evaluation and Policy Analysis, 4(4), 511–519.

    Article  Google Scholar 

  • Fraser, B. J. (1998). Science learning environments: Assessment, effects and determinants. In B. J. Fraser & K. G. Tobin (Eds.), International handbook of science education (part one) (pp. 527–564). Kluwer Academic Publishers.

  • Garrett, T. (2008). Student-centered and teacher-centered classroom management: A case study of three elementary teachers. Journal of Classroom Interaction, 43(1), 34–47.

    Google Scholar 

  • Henry, K. L., & Muthén, B. (2010). Multilevel latent class analysis: An application of adolescent smoking typologies with individual and contextual predictors. Structural Equation Modeling: A Multidisciplinary Journal, 17(2), 193–215.

    Article  Google Scholar 

  • Hipp, J., & Bauer, D. (2006). Local solution in the estimation of growth mixture models. Psychological Methods, 11, 36–53.

    Article  Google Scholar 

  • Hong, H., Lim, Y., Min, B., & Lym, H. (2014). Effectiveness analysis of creativity improvement through teaching the subject-integrated creative thinking skills materials at the daily elementary school classroom. Journal of Learner-Centered Curriculum and Instruction, 14(3), 93–114.

    Google Scholar 

  • Hwang, K., Kang, T., Park, H., Baek, K., Lee, Y., Lee, H., Lim, Y., Jeong, K., Jin, D., Han, H., Hong, E., Kim, H., Lee, S., & Oh, S. (2015). A study on the curriculum composition integrating humanities and natural sciences. Sejong: Ministry of Education.

  • Jaakkola, T., Wang, C. K. J., Soini, M., & Liukkonen, J. (2015). Students’ perceptions of motivational climate and enjoyment in Finnish physical education: A latent profile analysis. Journal of Sports Science and Medicine, 14, 477–483.

    Google Scholar 

  • Jang, J. Y., Park, I. W., & Kim, E. J. (2017). Undergraduate students’ identification of types, performance and effectiveness of teaching-learning activities in class. The Korean Journal of Educational Methodology Studies, 29(2), 371–396.

    Article  Google Scholar 

  • Jang, J. Y., Park, I. W., & Kim, E. J. (2018). The effect of teachers’ teaching methods on students’ class attitude, classroom atmosphere, class satisfactions, self-directed learning and academic achievement. Teacher Education Research, 57(2), 246–259.

    Article  Google Scholar 

  • Jo, Y. M., & Sohn, W. S. (2018). Identifying types of high school students’ conceptions of assessment. The Journal of Curriculum and Evaluation, 21(1), 197–217.

    Article  Google Scholar 

  • Joo, H. J., Lee, J. A., & Kim, Y. M. (2012). An investigation of perception difference between science teachers and their students about science teaching and learning environment. Teacher Education Research, 51(3), 410–422.

    Article  Google Scholar 

  • Joong, Y. H. P. (2012). Understanding the ecologies of education reforms: Comparing the perceptions of parents and secondary teachers and students in China. Peabody Journal of Education, 87(2), 267–282.

    Article  Google Scholar 

  • Jung, M. J., Kim, H. K., & Moon, Y. H. (2015). The relationship between teaching methods accepted by learners and academic achievement factors on academic achievement. Korean Journal of Youth Studies, 22(7), 129–150.

    Google Scholar 

  • Jung, Y. K., Lee, S. Y., Song, J. Y., & Woo, Y. K. (2017). Differential relations of students’ perceived instructions to their motivation, classroom attitude, and academic achievement: The moderating role of self-efficacy. The Korean Journal of Educational Methodology Studies, 29(1), 211–235.

    Article  Google Scholar 

  • Kember, D. (1997). Reconceptualisation of research into university academics’ conceptions. Learning and Instruction, 7(3), 255–275.

    Article  Google Scholar 

  • Kim, A. Y. (2012). Teacher efficacy: The key factor of teacher professionalism. Journal of Education Psychology, 26(1), 63–84.

    Google Scholar 

  • Kim, B. S., & Chung, D. Y. (2012). The Effect of Direct and Indirect Instructions on the Learning Achievements and Attitudes. Journal of Learner-Centered Curriculum and Instruction, 12(4), 417–436.

    Google Scholar 

  • Kim, H. S. (2018). Healing a wary, self-cultivating society through education. KDI FOCUS, 91, 1–8.

    Google Scholar 

  • Kim, J. S. (2005). The effects of a constructivist teaching approach on student academic achievement, self-concept, and learning strategies. Asia Pacific Education Review, 6(1), 7–19.

    Article  Google Scholar 

  • Kim, J. Y., Jang, J. H., & Park, I. W. (2017). A study on the effects of the teachers characteristics recognized by students on student’s attitude, self-directed learning and academic achievement. Secondary Education Research, 65(4), 731–758.

    Article  Google Scholar 

  • Kim, J. Y., Jang, J. H., & Park, I. W. (2018). Teacher co-operation, activities to improve classes, teacher efficacy, and teacher satisfaction based on participation in a professional learning community. Teacher Education Research, 57(1), 1–15.

    Article  Google Scholar 

  • Kim, N. Y., & Hong, Y. J. (2018). Analysis of the effect of learner-centered instruction on creative competence of elementary school students. Journal of Learner-Centered Curriculum and Instruction, 18(19), 749–770.

    Google Scholar 

  • Kim, N. R., Lee, H. H., & Kim, H. W. (2015). The relationship among the elementary student’s perceived class method, teacher characteristics, class atmosphere and creativity. Journal of Learner-Centered Curriculum and Instruction, 7(1), 431–447.

    Google Scholar 

  • Kim, Y. B., Hyun, J., Ryu, H. G., Nambung, J. Y., Kim, J. A., & Kang, S. J. (2005). Analysis on the level of school education and its actual status of Korean schools: Elementary school. Seoul: Korean Educational Development Institute.

    Google Scholar 

  • Ko, D. H., & Jung, H. S. (2018). A latent profile analysis of perceptions about mathematics teachers in school lessons. The Mathematical Education, 57(2), 75–92.

    Google Scholar 

  • Korean Ministry of Education (2015). 2015 revised national curriculum (general guidelines). Sejong: Ministry of Education.

  • Kriewaldt, J. A. (2015). Strengthening learners’ perspectives in professional standards to restore relationality as central to teaching. Australian Journal of Teacher Education (online), 40(8), 83–98.

    Google Scholar 

  • Lee, S. D. (2005). The comparison of student preference of instructional methods according to Kolb’s learning styles. Asian Journal of Education, 6(4), 125–144.

    Google Scholar 

  • Lee, S. K. (2019). The longitudinal study using autoregressive cross-legged model: Relationship between the self-understanding as a learner and the perception of the learner-centered instruction. Journal of Educational Evaluation, 32(2), 351–374.

    Google Scholar 

  • Levy, J., Wubbels, T., Brok, P. D., & Brekelmans, M. (2003). Students’ perceptions of interpersonal aspects of the learning environment. Learning Environments Research, 6, 5–36.

    Article  Google Scholar 

  • Lim, H. J. (2016). Structural relationships among variables affecting the math in-class attitude of middle school students: Focusing on the student-centered teaching effect at regular and innovation schools. Secondary Educational Research, 64(4), 1075–1104.

    Article  Google Scholar 

  • Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767–778.

    Article  Google Scholar 

  • Ludke, G. H., & Muthen, B. (2005). Investigating population heterogeneity with factor mixture models. Psychological Methods, 10(1), 21–39.

  • McLaughlin, M. W., & Talbert, J. E. (2006). Building school-based teacher learning communities: Professional strategies to improve student achievement. Teachers College Press.

  • McMillan, J. H. (2016). Section discussion Student perceptions of assessment (pp. 221–243). In G. T. L. Brown & L. R. Harris (Eds.), Handbook of human and social conditions in assessment. NY: Routledge.

  • Muthén, L., & Muthén, B. (2012). Mplus user’s guide (7th). LA: Muthén & Muthén.

  • Namkung, J. Y., Kim, Y. B., Park, K. H., Choi, I. H., Park, H. J., & Chung, S. E. (2016). 2016 KEDI survey research on student competencies. Seoul: Korean Educational Development Institute.

    Google Scholar 

  • Noh, H. J., & Sohn, W. S. (2015). The role of teacher-provided feedback on homework in student engagement and academic achievement. Journal of Educational Evaluation, 28(3), 879–902.

    Google Scholar 

  • Park, K. S. (2017). A study on structural relations between type of physical education class perceived by middle school students and their academic interest and participation will in a class. Journal of Korean Society for the Study of Physical Education, 22(1), 111–123.

    Article  Google Scholar 

  • Park, S. H. (2016). A study on students’ instructional preferences between problem-based learning and teacher-centered learning. Journal of Learner-Centered Curriculum and Instruction, 16(9), 495–515.

    Google Scholar 

  • Park, S. H., & Kim, K. S. (2009). The effect of ‘perceived’ teaching characteristics on math achievement growth of middle school students. Journal of Korean Education, 36(1), 3–21.

    Google Scholar 

  • Popham, W. J. (2003). Test better, teach better: The instructional role of assessment. Alexandria, VA: ASCD.

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2th). Newbury Park, CA: Sage.

  • Samuelsson, J. (2008). The impact of different teaching methods on students’ arithmetic and self-regulated learning skills. Educational Psychology in Practice, 24(3), 237–250.

    Article  Google Scholar 

  • Sanchez, B., Byra, M., & Wallhead, T. L. (2012). Students’ perceptions of the command, practice, and inclusion styles of teaching. Physical Education & Sport Pedagogy, 17(3), 317–330.

    Article  Google Scholar 

  • Sawyer, R. K. (2006). Explaining creativity: The science of human innovation. Oxford University Press.

  • Schukajlow, S., & Rakoczy, K. (2016). The power of emotions: Can enjoyment and boredom explain the impact of individual preconditions and teaching methods on interest and performance in mathematics? Learning and Instruction, 44, 117–127.

    Article  Google Scholar 

  • Seidel, T., & Shavelson, R. J. (2007). Teaching effectiveness research in the past decade: The role of theory and research design in disentangling meta-analysis results. Review of Educational Research, 77(4), 454–499.

    Article  Google Scholar 

  • Seo, K. H. (2004). The perspectives and conceptions about good instructional practice: An interview study of teachers and students. The Journal of Curriculum Studies, 22(4), 165–187.

    Google Scholar 

  • Shin, H. J., Ahn, S. Y., & Kim, Y. W. (2017). A policy analysis on the process-based evaluation: Focusing on middle school teachers in Seoul. The Journal of Curriculum and Evaluation, 20(2), 135–162.

    Article  Google Scholar 

  • Shin, S. Y., & Kim, J. S. (2016). Investigating the structural relationship among factors affecting perceived class, perceived class, learning outcomes, and education satisfaction. The Journal of Learner-Centered Curriculum and Instruction, 16(11), 383–402.

    Google Scholar 

  • Shuell, T. J. (1993). Towards an integrated theory of teaching and learning. Educational Psychologist, 28, 291–311.

    Article  Google Scholar 

  • Shuell, T. J. (1996). Teaching and learning in a classroom context. In D. C. Berliner & R. C. Calfee (Eds.), Handbook of educational psychology (pp. 726–764). Macmillan.

  • So, Y. H. (2011). Analysis of the structural relations between learners’ perception on instruction, self-directed learning, learning flow, and academic achievement. The Journal of Child Education, 20(2), 19–32.

    Google Scholar 

  • Son, Y. H., & Kim, N. Y. (2019). The classification of high school students’ creative competences using multilevel latent profile analysis: Influential factors and student agency. Secondary Education Research, 67(4), 611–641.

    Google Scholar 

  • Song, C. J. (2014). A study on the teaching and learning activities, student-teacher communication, and course satisfaction. Asian Journal of Education, 15(2), 171–200.

    Article  Google Scholar 

  • Sullivan, S. C., & Downey, J. A. (2015). Shifting educational paradigms: From traditional to competency-based education for diverse learners. American Secondary Education, 43(3), 4–19.

    Google Scholar 

  • Sung, S. M., & Yeo, S. I. (2018). The perceptions of the students about professionalism on the elementary teachers’ science teaching through network analysis of keyword. The Study of Elementary Education, 37(1), 27–38.

    Google Scholar 

  • Sungur, S., & Tekkaya, C. (2006). Effects of problem-based learning and traditional instruction on self-regulated learning. The Journal of Educational Research, 99(5), 307–317.

    Article  Google Scholar 

  • Swars, S. L. (2005). Examining perceptions of mathematics teaching effectiveness among elementarypPreservice teachers with differing levels of mathematics teacher efficacy. Journal of Instructional Psychology, 32(2), 139–147.

    Google Scholar 

  • Treffinger, D., Young, G., Selby, E., & Shepardson, C. (2002). Assessing creativity: A guide for educators. Storrs, CT: The National Research Centre on the Gifted and Talented.

  • Vermunt, J. D., & Verloop, N. (1999). Congruence and friction between learning and teaching. Learning and Instruction, 9, 257–280.

    Article  Google Scholar 

  • Vogler, K. E. (2005). Impact of a high school graduation examination on social studies teachers’ instructional practices. Journal of Social Studies Research, 29(2), 19–33.

    Google Scholar 

  • Wolf, S. J., & Fraser, B. J. (2008). Learning environment, attitudes and achievement among middle-school science students using inquiry-based laboratory activities. Research in Science Education, 38, 321–341.

    Article  Google Scholar 

  • Yi, H. S., & Lee, Y. (2017). A latent profile analysis and structural equation modeling of the instructional quality and mathematics classrooms based on the PISA 2012 results of Korea and Singapore. Asia Pacific Education Review, 18, 23–29.

    Article  Google Scholar 

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Kim, N., Son, Y. Multilevel latent profile analysis of Korean middle school student perceptions of teaching methods. Asia Pacific Educ. Rev. 24, 41–55 (2023). https://doi.org/10.1007/s12564-021-09721-w

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