References
- 고은성, 탁병주. (2019). 점그래프와 상자그림의 교수학적 분석: 통계적 추리 지도를 위한 교육적 효용성 고찰. 수학교육학연구, 29(4), 577-605.
- 구나영, 탁병주, 강현영, 이경화. (2015). 표본 지도에 대한 고찰: 국외 교육 과정 분석을 중심으로. 학교수학, 17(3), 515-530.
- 김경희. (2011). 지식사회에서의 평생학습이론의 지향점: 엥스트롬의 확장학습이론 (Expansive Learning Theory) 을 중심으로. 평생교육학연구, 17(4), 293-321.
- 박민선, 고은성. (2014). 초등학교 4학년 학생들의 표집활동 분석: 사례연구. 학교수학, 16(3), 503-518.
- 박양주, 연은경. (2014). 문화-역사적 활동이론의 시각을 통한 교수, 학습 매체 도입, 활용 체제 분석-국내 A 원격대학 원격영상강의 시스템 사례를 중심으로. 한국교육공학회 학술대회발표자료집, 2014(1), 265-275.
- 성열관. (2018). 문화-역사적 문화-역사적 활동이론에서 모순 개념의 중요성. 교육비평, 42, 145-173.
- 신소연, 박철규, 이창윤, 홍훈기. (2018). 2015 개정교육과정의 '과학탐구실험' 실행에 대한 사례연구: 문화역사적 활동이론(CHAT) 측면에서의 이해, 한국과학교육 학회지, 38(6), 883-897.
- 신우진, 고호경, 노지화. (2022). 우리나라와 뉴질랜드의 고등학교 통계 교육과정 분석. 한국학교수학회논문집, 25(1), 19-38. https://doi.org/10.30807/KSMS.2022.25.1.002
- 이기돈. (2018). '닫힌 상자'에서의 복원추출에 의한 모비율 추측 활동수업 개발 및 적용. A-수학교육, 57(4), 413-431.
- 이종학. (2022). 초등수학 교과 기반 첨단 기술 및 ICT 교구 활용형 융합교육 자료 개발에 대한 사례 연구. 한국학교수학회논문집, 25(4), 333-352. https://doi.org/10.30807/KSMS.2022.25.4.002
- 이창윤, 박철규, 유수형, 홍훈기(2019). 자유학기제에서 중등 과학교사의 플립러닝 실행에 대한 문화역사적 활동이론 측면에서의 이해. 학습자중심교과교육연구, 19(5), 823-854.
- 이형상. (2018). Engestrom 의 활동 이론에 근거한 지리지식의 협력적 창출 분석. 한국지리환경교육학회지 (구 지리환경교육), 26(3), 73-90.
- 지영명. (2020). 비형식적 통계적 추리 지도를 위한 예비초등교사의 통계지식 연구. 서울대학교 박사 학위 논문
- 탁병주, 이경화. (2017). 우리나라 통계교육 연구의 동향 분석: 2000년 이후 발행된 국내 통계교육 연구논문을 중심으로. 수학교육학연구, 27(2), 269-289.
- Barab, S., Schatz, S., & Scheckler, R. (2004). Using activity theory to conceptualize online community and using online community to conceptualize activity theory. Mind, Culture, and Activity, 11(1), 25-47. https://doi.org/10.1207/s15327884mca1101_3
- Baran, B., & Cagiltay, K. (2010). The dynamics of online communities in the activity theory framework. J ournal of Educational Technology & Society, 13(4), 155-166.
- Braham, H. M., & Ben-Zvi, D. (2017). STUDENTS'EMERGENT ARTICULATIONS OF STATISTICAL MODELS AND MODELING IN MAKING INFORMAL STATISTICAL INFERENCES. Statistics Education Research J ournal, 16(2), 116-143. https://doi.org/10.52041/serj.v16i2.187
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
- Chance, B., delMas, R., & Garfield, J. (2010). 표집 분포에 대한 추론. In D. Ben-Zvi & J. Garfield (Eds.). 통계적 사고의 의미와 교육 (pp. 353-384). 서울: 경문사. (영어 원작은 2004년 출판).
- Cobb, G. (2007). The introductory statistics course: A Ptolemaic curriculum? Technology Innovations in Statistics Education, 1(1), Article 1. Retrieved from http://escholarship.org/uc/item/6hb3k0nz
- Creswell, J. W. (2010). 질적 연구방법론 : 다섯 가지 접근 (조흥식 역). 서울: 학지사. (영어 원작은 2013년 출판).
- Creswell. J. W. (2017). Research design: Qualitative, quantitative, and mixed methods. Sage Publications.
- Edwards, J. R. (2008). 4 person-environment fit in organizations: An assessment of theoretical progress. The academy of management annals, 2(1), 167-230. https://doi.org/10.5465/19416520802211503
- Engestrom, Y. (1999) Innovative learning in work teams: Analysing cycles of knowledge creation in work teams. In Engestrom, Y., Mietrinen, R. and Punamaki, R.L. (eds) Perspectives on activity theory, pp. 377-406. Cambridge University Press
- Engestrom, Y. (2001). Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of education and work, 14(1), 133-156. https://doi.org/10.1080/13639080020028747
- Engestrom, Y. (2005). Developmental work research: Expanding activity theory in practice (Vol. 12). Lehmanns media.
- Engestrom, Y. (2008). Weaving the texture of school change. J ournal of Educational Change, 9(4), 379-383. https://doi.org/10.1007/s10833-008-9086-6
- Engestrom, Y. (2009). Expansive learning: Toward an activity-theoretical reconceptualization. In K. Illeris (Ed.), Contemporary theories of learning: Learning theorists - In their own words. Routledge.
- Engestrom, Y., & Sannino, A. (2011). Discursive manifestations of contradictions in organizational change efforts. A methodological framework. Journal of Organizational Change Management, 24(3), 368-387. https://doi.org/10.1108/09534811111132758
- Engestrom, Y. (2015). Learning by expanding. Cambridge University Press.
- Fourcaud, T., Zhang, X., Stokes, A., Lambers, H., & Korner, C. (2008). Plant growth modelling and applications: the increasing importance of plant architecture in growth models. Annals of Botany, 101(8), 1053-1063.
- Garfield, J., & Ben-Zvi, D. (2008). Developing students' statistical reasoning: connecting research and teaching practice. New York: Springer.
- Hardman, J. (2015). Pedagogical variation with computers in mathematics classrooms: A cultural historical activity theory analysis. Psychology in Society, 48, 47-76) https://doi.org/10.17159/2309-8708/2015/n48a3
- Hatch, M. J. (1997). Irony and the social construction of contradiction in the humor of a management team. Organization Science, 8(3), 275-288. https://doi.org/10.1287/orsc.8.3.275
- Jaworski, B., & Potari, D. (2009). Bridging the macro-and micro-divide: Using an activity theory model to capture sociocultural complexity in mathematics teaching and its development. Educational Studies in Mathematics, 72, 219-236. https://doi.org/10.1007/s10649-009-9190-4
- Kader, G., & Jacobbe, T. (2019). 통계의 필수 이해: 6-8학년 (강현영, 이동환 역). 서울: 교우미디어. (영어 원작은 2013년 출판).
- Kaptelinin, V., & Nardi, B. A. (2006). Acting with technology: Activity theory and interaction design. MIT press.
- Karakus, T. (2013). Practices and potential of activity theory for educational technology research. In M. Spector, D. Merrill, J. Elen, & M. Bishop (Eds.), Handbook of Research on Educational Communications and Technology (pp. 151-160). New York, NY: Springer
- Kuutti, K. (1996). Activity theory as a potential framework for human-computer interaction research. In B. A. Nardi (Ed.), Context and consciousness: Activity theory and human-computer interaction. Cambridge, MA: MIT Press.
- Lane-Getaz, S. J. (2006). What is statistical thinking, and how is it developed. Thinking and reasoning about data and chance: Sixty-eighth NCTM Yearbook, 273-289.
- Lehrer, R., & Schauble, L. (2004). Modeling natural variation through distribution. American Educational Research Journal, 41(3), 635-679
- Leont'ev, A. N. (1978). Activity, Conciosness, and personality. Englewood Cliffs: Prentice-Hall.
- Makar, K., & Rubin, A. (2009). A framework for thinking about informal statistical inference. Statistics Education Research Journal, 8(1), 82-105. https://doi.org/10.52041/serj.v8i1.457
- Makar, K., Bakker, A., & Ben-Zvi, D. (2011). The reasoning behind informal statistical inference. Mathematical Thinking and Learning, 13(1-2), 152-173. https://doi.org/10.1080/10986065.2011.538301
- Molina-Toro, J. F., Rendon-Mesa, P. A., & Villa-Ochoa, J. A. (2022). Contradictions in mathematical modeling with digital technologies. Education and Information Technologies, 27(2), 1655-1673. https://doi.org/10.1007/s10639-021-10676-z
- Murphy, E., & Manzanares, M. A. R. (2008). Contradictions between the virtual and physical high school classroom: A third-generation Activity Theory perspective. British Journal of Educational Technology, 39(6), 1061-1072. https://doi.org/10.1111/j.1467-8535.2007.00776.x
- Murphy, E., & Rodriguez-Manzanares, M. A. (2008). Using activity theory and its principle of contradictions to guide research in educational technology. Australasian Journal of Educational Technology, 24(4), 442-457. https://doi.org/10.14742/ajet.1203
- Mwanza, D. (2001). Where theory meets practice: A case for an activity theory based methodology to guide computer system design. Proceedings of INTERACT' 2001: Eighth IFIP TC 13 Conference on Human-Computer Interaction.
- Pfannkuch, M. (2011). The role of context in developing informal statistical inferential reasoning: A classroom study. Mathematical Thinking and Learning, 13(1-2), 27-46. https://doi.org/10.1080/10986065.2011.538302
- Pfannkuch, M., Arnold, P., & Wild, C. J. (2015). What I see is not quite the way it really is: Students' emergent reasoning about sampling variability. Educational Studies in Mathematics, 88, 343-360. https://doi.org/10.1007/s10649-014-9539-1
- Pratt, D., & Ainley, J. (2008). Introducing the special issue on informal inferential reasoning. Statistics Education Research J ournal, 7(2), 3-4. https://doi.org/10.52041/serj.v7i2.466
- Rossman, A. (2008) Reasoning about informal statistical inference: One statistician's view. Statistics Education Research J ournal, 7(2), 5-19. https://doi.org/10.52041/serj.v7i2.467
- Roth, W. M., & Lee, Y. J. (2007). "Vygotsky's neglected legacy": Cultural-historical activity theory. Review of educational research, 77(2), 186-232. https://doi.org/10.3102/0034654306298273
- Roth, W. M., & Radford, L. (2011). A cultural-historical perspective on mathematics teaching and learning (Vol. 2). Springer science & business media.
- Sawchuk, P. H. (2003). Informal learning as a speech-exchange system: Implications for knowledge production, power and social transformation. Discourse & Society, 14(3), 291-307. https://doi.org/10.1177/0957926503014003083
- Shaughnessy, M. (2007). Research on statistics learning and reasoning. In F. K. Lester (Ed.), Second handbook of research on mathematics teaching and learning (pp. 957-1009). Charlotte, NC: Information Age Publishing.
- van Dijke-Droogers, M., Drijvers, P., & Bakker, A. (2020). Repeated sampling with a black box to make informal statistical inference accessible. Mathematical Thinking and Learning, 22(2), 116-138. https://doi.org/10.1080/10986065.2019.1617025
- Watkins, A. E., Bargagliotti, A., & Franklin, C. (2014). Simulation of the sampling distribution of the mean can mislead. Journal of Statistics Education, 22(3).
- Watson, J., & Chance, B. (2012). Building intuitions about statistical inference based on resampling. Australian Senior Mathematics J ournal, 26(1), 6-18.
- Watson, J. M., & English, L. D. (2016). Repeated random sampling in year 5. Journal of Statistics Education, 24(1), 27-37. https://doi.org/10.1080/10691898.2016.1158026
- Watson, J., Wright, S., Fitzallen, N., & Kelly, B. (2022). Consolidating understanding of variation as part of STEM: experimenting with plant growth. Mathematics Education Research Journal, 1-39.