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Comparative Analysis of Influential Factors on Computer-Based Mathematics Assessment between Korea and Singapore  

Rim, Haemee (Korea Institute for Curriculum and Evaluation)
Jung, Hyekyun (Korea Institute for Curriculum and Evaluation)
Publication Information
Journal of Educational Research in Mathematics / v.27, no.2, 2017 , pp. 157-170 More about this Journal
Abstract
Mathematics was the main domain of PISA 2012, and both paper-based and computer-based assessment of mathematics (CBAM) were conducted. PISA 2012 was the first large-scale computer-based mathematics assessment in Korea, and it is meaningful in that it evaluated students' mathematical literacy in problem situations using dynamic geometry, graph, and spreadsheet. Although Korea ranked third in CBAM, the use of ICT in mathematics lessons appeared to be low. On the other hand, this study focused on Singapore, which ranked first in CBAM. The Singapore Ministry of Education developed online programs such as AlgeTools and AlgeDisc, and implemented the programs in classes by specifying them in mathematics curriculum and textbooks. Thus, this study investigated influential factors on computer-based assessment of mathematics by comparing the results of Korea and Singapore, and aimed to provide meaningful evidence on the direction of Korea's ICT-based mathematics education. The results showed that ICT use at home for school related tasks, attitudes towards computers as a tool for school learning, and openness and perseverance of problem solving were positively associated with computer-based mathematics performance, whereas the use of ICT in mathematics class by teacher demonstration was negatively related. Efforts are needed to improve computer use and enhance teaching techniques related to ICT use in Korean math classes. Future research is recommended to examine how effectively teachers use ICT in mathematics class in Singapore.
Keywords
computer-based mathematics assessment; Programme for International Student Assessment [PISA]; Singapore;
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1 교육부(2015). 수학과 교육과정. 교육부 고시 제 2015-74호 [별책 8].
2 권점례, 이광상, 김성경(2016). 지능정보사회대비 학교 교육에서 코딩 기반 소프트웨어 교육의 적용 가능성 탐색 - 초등학교 수학과를 중심으로-. 한국교육과정평가원 연구보고 RRC 2016-9.
3 김경희 외 14인(2013). 컴퓨터 기반 국가수준 학업성취도 평가 도입 방안. 한국교육과정평가원 연구보고 CRE 2013-5.
4 김덕선, 박진영, 이상구(2008). 21세기 선진형 ICT 수학교육 방법론 모델. 한국수학교육학회 시리즈 E, 수학교육논문집, 22(4), 533-543. 98
5 김명화, 박은아, 최혁준, 김경성(2011). 컴퓨터 기반 문제해결능력 평가 모형 개발. 한국교육과정평가원 연구보고 RRE 2011-5.
6 김성숙, 임해미(2015). 미국의 차세대 평가 PARCC와 Smarter Balanced 평가 비교 분석을 통한 평가 개선 방안 -6학년 수학을 중심으로-. 학습자중심교과교육, 15(7), 771-794.
7 조명희, 김화경, 이현우(2012). 수학교육을 위한 ICT 활용에 대한 수학교사의 인식 및 태도 조사. 교원교육, 28(4), 141-159.
8 조지민, 동효관, 옥현진, 임해미, 정혜경, 손수경, 배제성(2012). OECD 국제 학업성취도 비교 연구: PISA 2012 본검사 시행보고서. 한국교육과정평가원 연구보고 RRE 2012-3-1.
9 조지민, 정혜경 (2013). PISA 표집 설계에 따른 모수 및 분산 추정. 교육평가연구, 26(4), 719-740.
10 홍선주, 이명진, 최영인, 김진숙, 이연수(2016). 지능정보사회 대비 학교 교육의 방향 탐색. 한국교육과정평가원 연구자료 ORM 2016-26-9.
11 ACM(2000). Computing Curricula 1991- Report of the ACM/IEEE Annual Reports.
12 Baker, E. L., & Mayer, R. E. (1999). Computerbased assessment of problem solving. Computers in Human Behavior, 15(3), 269-282.   DOI
13 Lewis, M. D. (2010). Design of Computer-based Assessment Secondary Education for Understanding of Mathematics. Doctoral dissertation, Boise State University.
14 Little, R. J. A., & Rubin, D. B. (2002). Statistical analysis with missing data (2nd ed.). New York, NY: John Wiley & Sons, Inc.
15 OECD (2009). PISA Data Analysis Manual: SAS Second Edition. OECD publishing.
16 OECD (2014c). PISA 2012 technical report. PISA, OECD Publishing, Paris.
17 OECD (2013). PISA 2012 assessment and analytical framework: mathematics, reading, science, problem solving and financial literacy. PISA, OECD Publishing, Paris.
18 OECD (2014a). PISA 2012 Results: What students know and can do - Student performance in Mathematics, Reading and Science (Vol. I, Revised Edition). PISA, OECD Publishing, Paris.
19 OECD (2014b). Strong Performers and Successful Reformers in Education. Lessons from PISA for Korea. PISA, OECD Publishing, Paris.
20 OECD (2015). PISA-Students, Computers and learning: Making the connection. PISA, OECD Publishing, Paris.
21 OECD (2016). PISA 2015 Results (Volume I): Excellence and Equity in Education. PISA, OECD Publishing, Paris.
22 Pead, D. (2010). On computer-based assessment of mathematics. Doctoral dissertation, University of Nottingham.
23 Schwab, K. (2016). 클라우스 슈밥의 제 4차 산업혁명(송경진 역). 서울: 새로운 현재.
24 Pellegrino, J. W. (2002). Knowing what students know. Issues in science and technology, 19(2), 48-52.
25 Raudenbush, S. W., & Bryk, A. S.(2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.
26 Scalise, K., &Gifford, B. (2006). Computer-based assessment in e-learning: A framework for constructing" intermediate constraint" questions and tasks for technology platforms. The Journal of Technology, Learning and Assessment, 4(6).
27 Wong, K. Y., Zhao, D., Cheang, W. K., Teo, K. M., Lee, P. Y., Yen, Y. P., &So, H. J. (2012). Real-life mathematics tasks: A Singapore experience.
28 SEAB(Singapore Examinations and Assessment Board). (2016). Guidelines on the use of electronic calculators in national examinations. http://www.seab.gov.sg
29 Singleton, C. (2001). Computer-based assessment in education. Educational and Child Psychology, 18(3), 58-74.
30 Wong, K. Y. (2015). Effective mathematics lessons through an eclectic Singapore approach, Yearbook 2015. World Scientific Publishing.
31 Yeo, S. M., Thong, C. H., &Kho, T. H. (2008). Algebra discs: Digital manipulatives for learning algebra. In 11th International Congress on Mathematics Education.
32 Yuan, Y. C. (2011). Multiple imputation for Missing Data: Concepts and New Development (SAS Version9.0). Rockville, MA: SAS Institute Inc.