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NTIS 바로가기Journal of the Korean Society of Mathematical Education. Series E: Communications of Mathematical Education, v.35 no.1, 2021년, pp.97 - 118
김용석 (성균관대학교)
Since the characteristics of teachers that affect mathematics academic achievement are constantly changing and affecting mathematics achievement, longitudinal studies that can predict and analyze growth are needed. This study used data from middle and high school students from 2013(first year of mid...
Go, Y. J. (2018). A study on analysis of actual state of mathmatics renouncers and treatment at the renouncer's level, Master's thesis, Ulsan University Graduate School of Education.
Gu, W. H. (2016). An Exploration of Implication by Analysing Qualitative Characteristics of Developmental Process to Teacher Professional Growth. Humanities Society Research, 17(1), 467-504.
Kim, S. H., Kang, D. H., Moon, S. M., Yoon, W. S., & Park, S. H. (2016). Research on the achievement score for the academic achievement test for the 7th year Seoul National University of Education, Seoul Institute for Education Policy. Institute of Education and Research Information.
Kim, Y. B., Im, H. J., & Kim, N. O. (2012). An Analysis on Class and Teacher Level Variables Affecting Academic Achievement. Journal of Korean Education, 39(2), 157-179.
Kim, Y. S. (2020). A longitudinal study on the effect of learner's internal and external factors on mathematics academic achievement: For middle and high school students. Doctoral thesis, Sungkyunkwan University.
Kim, Y. S. (2021). A Longitudinal Study on the Influence of Learning Effort, Attitude, and Achievement Goal on Mathematics Academic Achievement: For elementary and secondary school students. Education of Primary School Mathematics, 24(1), 1-20.
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.
Kim, J. W., Yang., J. Y., Lee, C. A., & Hong, S. H. (2019). Changes in Retiree's Depression after Retirement: Applying Growth Mixture Model, survey research, 20(1), 45-72.
Kim, H. M., Kim, Y. S., & Han, S. Y. (2018). A Longitudinal Analysis on the Relationships Among Mathematics Academic Achievement, Affective Factors, and Shadow Education Participation, School Mathematics, 20(2), 287-306.
No, G. S. (2014). Well-informed Thesis Statistical analysis. Han Bit Academy.
Park, S. H. & Yoon, W. S. (2018). Seoul Education Longitudibal Study 8th User Manual. Seoul Metropolitan Office of Education Education Research Information Service Education Policy Research Institute.
Park, C. R. (2003). A study on the descent of the function-chapter in the middle school. Master's thesis, Mokpo University Graduate School of Education.
Soo, 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.
Song, M. Y., Kim, S. S., Yi, H, S., & Kim J, Y. (2011). Investigation on Contextual Variables Affecting Academic Achievement. Journal of Educational Evaluation, 24(2), 261-289.
Yeo, T. H., Lim, H. J., & Hwang, M. H. (2017). The Relationship between Self-Control and Academic Achievement: The Mediating Roles of Learned Helplessness and Learning Strategies, Education Culture Research, 23(1), 315-341.
Lee, H. M. (2001). Theory of Academic Performance Decision, Seoul: Dankook University Press.
Lee, H. S., & Chung, J. Y. (2001). An Analysis of the Influence of Teachers' Traits on Student Achievement - Focusing on Teachers' Efforts to Enhance Professionality in TIMSS 2007. The Journal of Korean Teacher Education, 28(1), 243-266.
Cheong, 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, 27(2), 129-150.
Jung, H. S. (2019). Longitudinal mediation effect of mathematics class factors between goal perception and mathematics academic achievement on middle school students. Mathematics Education, 58(1), 21-39.
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 Journal of Elementary Education, 24(4), 165-184.
Han, M. H. (1997). Securing the expertise of the secondary school teacher training curriculum: focusing on the arguments of the curriculum structure. Korean journal of educational research, 35(5), 171-194.
Hong, S. U. (2009). Analysis of large-scale academic achievement evaluation data using growth model, Collection of the 3rd KICE Curriculum Evaluation Policy Forum.
Arbona, C. (2000). The development of academic achievement in school-aged children: Precursors to career development. In S. D. Brown & R. W. Lent (Eds.), Handbook of counseling psychology (3rd ed., pp. 270-309). New York: John Wiley and Sons.
Bloom, B. S., Hastings, J. T., & Madaus, G. F. (1971). Handbook on the Formative and Summative Evaluation of Student Learning. York: McGraw-Hill Book Co.
Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factory analysis. Psychological Methods, 1(1), 16-29.
Gefen, D., & Straub, D. W. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the association for Information Systems, 1(1), 8.
Good, T. L., Cooper, H. M., & Blakey, S. L. (1980). Classroom Interaction as a Function of Teacher Expectations, Student Sex, Time of Year. Journal of Educational Psychology, 72(3), 378-385.
Hattie, J. (2003). Teachers make a difference. What is the research evidence?. Paper presented at the Australian Council for Educational Research. Melbourne, Victoria.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling. NY: The Guilford Press.
Kolen, M. J., & Brennan, R. L. (2014). Test equating, scaling, and linking: Methods and practices (3rd ed.). New York: Springer.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149.
Mandel, H. P., & Marcus, S. I. (1988). The psychology of underachievement: Differential diagnosis and differential treatment. New York: John Wiley & Sons.
Mullis, I. V. S., Martin, M. O., Ruddock, G. J., O'Sullivin, C. Y., Arora, A., & Erberber, E. (2005). TIMSS 2007 Assessment Framework. TIMSS & PIRLS International Study Center, Lynch School of Education. Boston College.
Muthen, B., & Muthen, L. K. (2000). Integrating personcentered and variablecentered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and experimental research, 24(6), 882-891.
NCTM. (2000). Principles and Standards for School Mathmatics. Reston. VA: NCTM.
Sanders, W. L. (1998). Valued-Added Assessment. The School Administrator, 55(11), 24-32.
Shute, V. J. (2008). Focus on formative feedback. Review of Educational Researche.r 29(7), 4-14.
So, H. J., & Kim, B. (2009). Learning about problem based learning: Student teachers integrating technology, pedagogy and content knowledge. Australasia Journal of Educational Technology, 25(1), 101-116.
Sternberg, R. J., & Wiliams, W. M. (2009). Educational Psychology. 김정섭, 신경숙, 유순화 공역(2013). 스턴버그의 교육심리학. 서울: 시그마프레스.
Weinstein, R. S.(2002). Reaching higher: The power of expectations in schooling. Cambridge, MA: Harvard University Press.
Wright, D. B. (2017). Some Limits Using Random Slope Models to Measure Academic Growth. In Frontiers in Education, 2(58), Frontiers.
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