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The analysis of characteristics and effects of contextual variables in terms of student achievement levels and gender based on the results of PISA 2015 science domain

PISA 2015 과학 영역에 나타난 학생 성취수준 집단 및 성별에 따른 교육맥락 변인의 특성 및 영향력 분석

  • Ku, Jaok (Korea Institute for Curriculum and Evaluation) ;
  • Koo, Namwook (Korea Institute for Curriculum and Evaluation)
  • Received : 2018.06.18
  • Accepted : 2018.08.22
  • Published : 2018.08.30

Abstract

This study compares and analyzes the characteristics and effects of various educational contextual variables according to students' achievement level and gender groups based on the results of PISA 2015 science domain. PISA 2015 included additional variables about teaching-learning and affective characteristics in the field of science, because science was the main domain of PISA 2015. The results of the mediation analysis using a multiple group structural equation model showed that the environment and strategy for the teaching and learning had a positive effect on the affective characteristics, and also positively affected science achievement through the mediator of the affective characteristics. Particularly, the environment and strategy for the teaching and learning was the most effective in improving the affective characteristics for the low achievement group. It was found that the difference of the mediated effect between achievement level groups was statistically significant, but that between male and female students was not. Therefore, the appropriate the environment and strategy for the teaching and learning will need to be emphasized consistently to improve students' cognitive and affective achievement. The implications and suggestions of these results were discussed.

본 연구에서는 PISA 2015의 과학 영역 결과를 토대로 우리나라 학생의 성취수준 집단 및 성별 집단에 따른 다양한 교육맥락 변인의 특성과 학생들의 성취에 미치는 영향력을 비교 분석하였다. PISA 2015는 과학이 주영역이었기 때문에 과학 영역과 관련된 교수 학습 변인 및 정의적 특성 관련 변인들이 다수 포함되었다. 다집단 구조방정식 모형을 통해서 분석한 결과, 학생들의 수업 환경, 교사의 피드백 등과 같은 교수 학습 특성은 과학 교과의 정의적 특성에 긍정적인 영향을 미치는 것으로 나타났으며, 정의적 특성을 매개로 과학 성취에도 간접적으로 통계적으로 유의하게 정적인 영향을 미치는 것이 확인되었다. 특히 교사의 지지와 맞춤식 수업 등의 교수 방법은 성취수준이 낮은 집단의 정의적 특성향상에 상대적으로 효과가 있었다. 또한 성취수준 집단 간에는 차이가 나타났으나, 성별 집단에서는 차이가 발생하지 않았다. 따라서 학생들의 인지적, 정의적 성취를 향상시키기 위해서 적절한 교수 학습 환경과 전략을 제공하는 것에 대해 지속적으로 강조할 필요가 있을 것이다. 연구 결과를 바탕으로 한 우리나라 교육 개선을 위한 시사점과 학생들의 인지적, 정의적 특성을 향상할 수 있는 방안이 논의되었다.

Keywords

References

  1. Ministry of Education [MOE]. (2016). Direction and strategy of mid- and long-term education policy in response to intelligent information society. Sejong: Author. (Releases 2016.12.23).
  2. Ku, J., Kim, S., Rim, H., Park, H., & Han, J. (2015). Comparative analysis on the achievement characteristics and effects of educational contextual variables in high-ranking countries of PISA 2012 results (Research Report RRE 2015-6-1). Seoul: KICE.
  3. Ku, J., Kim, S., Lee, H., Cho, S., & Park, H. (2016). OECD programme for international students assessment: An analysis of PISA 2015 results. (Research Report RRE 2016-2-2). Seoul: KICE.
  4. Ku, J., Cho, S., Lee, S., Park, H., & Koo, N. (2017). OECD programme for international students assessment: An in-depth analysis of PISA 2015 results. (Research Report RRE 2017-9). Seoul: KICE.
  5. Kwaug, S., & Rhee, K. (2009). The analysis of the relationship between students' self-regulated learning skills, teachers' teaching skills and academic achievement. Education Review, 29, 35-60.
  6. Lee, E., & Choi, E. (2015). An analysis on the longitudinal relationship between affective characteristics and Korean academic achievement. Korean Language Education Research, 50(2), 270-307.
  7. Li, H. (2016). How is formative assessment related to students' reading achievement? findings from PISA 2009. Assessment in Education: Principles, Policy & Practice, 23(4), 473-494. https://doi.org/10.1080/0969594X.2016.1139543
  8. Organization for Economic Co-operation and Development [OECD]. (2016). PISA 2015 results (Volume I).: Excellence and Equity in Education. Paris, France: Author.
  9. Ro, K., & Choi, S., (2000), PISA 2000 Initial Report: A Literacy Profile of Korean Students. (Research Report RRE 2001-9-1). Seoul: KICE.
  10. Seo, H. (2011). Girls left behind in science gifted education: Gender differences in science affective domains among top 10% high achievers in PISA 2006. Journal of Gifted/Talented Education, 21(1), 123-139. https://doi.org/10.9722/JGTE.2011.21.1.123
  11. Sohn, W. (2008). Multi-level Factors Influencing the Affective Domain of Korean Students: Results from PISA 2006. Journal of Educational Evaluation, 21(4), 80-1-105.
  12. Song, M., Kim, S., Ku, J. Rim, H, Park, H., Han, J., Son, S., & Yang, S. (2014). Analysis of Korean students' characteristics based on gender & achievement levels in PISA 2012. (Research Report RRE 2014-4-1). Seoul: KICE.
  13. Stoet, G., & Geary, D. C. (2013). Sex differences in mathematics and reading achievement are inversely related: Within-and across-nation assessment of 10 years of PISA data. PLOS ONE, 8(3): e57988. doi: 10.1371/journal.pone.0057988.
  14. Yum, S., & Kang, D. (2011). Influence of curricular context factors within studentand school-levels on the 2006 PISA science achievements of Korean students. Journal of Research in Curriculum & Instruction, 15(2), 284-304.

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