IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p9051-d437780.html
   My bibliography  Save this article

Enhancing Preservice Teachers’ Key Competencies for Promoting Sustainability in a University Statistics Course

Author

Listed:
  • Heejoo Suh

    (Department of Mathematics Education, Sungkyunkwan University, Seoul 03063, Korea)

  • Sohyung Kim

    (Department of Mathematics Education, Sungkyunkwan University, Seoul 03063, Korea)

  • Seonyoung Hwang

    (Department of Mathematics Education, Sungkyunkwan University, Seoul 03063, Korea)

  • Sunyoung Han

    (Department of Mathematics Education, Sungkyunkwan University, Seoul 03063, Korea)

Abstract

In this rapidly changing world, universities have an increased responsibility to prepare professionals for a sustainable future, and teacher education is not an exception to this. In this study, we observed a group of preservice teachers engaging in a statistical investigation project. Specifically, we examined their degree of statistical knowledge; how effective the project was in enhancing their statistical knowledge and thinking; and how they participated in the project to make and share data-driven decisions. To this end, both qualitative and quantitative investigations were used. With the help of pre- and posttests, we found that the degree of knowledge differed between self-perceived and measured knowledge. Moreover, the results demonstrated the project’s effectiveness in enhancing the participating teachers’ statistical knowledge and thinking, specifically estimating the population mean and its interpretation. In making and sharing their decisions, the participating teachers applied multiple key competencies, crucial for promoting sustainability. Thus, the statistical investigation project was effective for enhancing preservice teachers’ statistical knowledge, thinking skills, and ability to promote sustainability.

Suggested Citation

  • Heejoo Suh & Sohyung Kim & Seonyoung Hwang & Sunyoung Han, 2020. "Enhancing Preservice Teachers’ Key Competencies for Promoting Sustainability in a University Statistics Course," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9051-:d:437780
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/9051/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/21/9051/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joan Garfield & Dani Ben‐Zvi, 2007. "How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics," International Statistical Review, International Statistical Institute, vol. 75(3), pages 372-396, December.
    2. C. J. Wild & M. Pfannkuch, 1999. "Statistical Thinking in Empirical Enquiry," International Statistical Review, International Statistical Institute, vol. 67(3), pages 223-248, December.
    3. Deborah Nolan & Duncan Temple Lang, 2007. "Dynamic, Interactive Documents for Teaching Statistical Practice," International Statistical Review, International Statistical Institute, vol. 75(3), pages 295-321, December.
    4. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chia Shih Su & Danilo Díaz-Levicoy & Claudia Vásquez & Chuan Chih Hsu, 2023. "Sustainable Development Education for Training and Service Teachers Teaching Mathematics: A Systematic Review," Sustainability, MDPI, vol. 15(10), pages 1-20, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert Gould, 2010. "Statistics and the Modern Student," International Statistical Review, International Statistical Institute, vol. 78(2), pages 297-315, August.
    2. Lisa Dierker & Jane Robertson Evia & Karen Singer-Freeman & Kristin Woods & Janet Zupkus & Alan Arnholt & Elizabeth G Moliski & Natalie Delia Deckard & Kristel Gallagher & Jennifer Rose, 2018. "Project-Based Learning in Introductory Statistics: Comparing Course Experiences and Predicting Positive Outcomes for Students from Diverse Educational Settings," International Journal of Educational Technology and Learning, Scientific Publishing Institute, vol. 3(2), pages 52-64.
    3. Chris Wild, 2007. "Virtual Environments and the Acceleration of Experiential Learning," International Statistical Review, International Statistical Institute, vol. 75(3), pages 322-335, December.
    4. Laura Muñiz-Rodríguez & Luis J. Rodríguez-Muñiz & Ángel Alsina, 2020. "Deficits in the Statistical and Probabilistic Literacy of Citizens: Effects in a World in Crisis," Mathematics, MDPI, vol. 8(11), pages 1-20, October.
    5. Seokmin Kang & Sungyeun Kim, 2022. "Lessons Learned from Topic Modeling Analysis of COVID-19 News to Enrich Statistics Education in Korea," Sustainability, MDPI, vol. 14(6), pages 1-16, March.
    6. Peter Petocz & Anna Reid, 2010. "On Becoming a Statistician—A Qualitative View," International Statistical Review, International Statistical Institute, vol. 78(2), pages 271-286, August.
    7. Jesús Guadalupe Lugo-Armenta & Luis Roberto Pino-Fan, 2021. "Inferential Reasoning of Secondary School Mathematics Teachers on the Chi-Square Statistic," Mathematics, MDPI, vol. 9(19), pages 1-20, September.
    8. George W. Cobb, 2007. "One Possible Frame for Thinking about Experiential Learning," International Statistical Review, International Statistical Institute, vol. 75(3), pages 336-347, December.
    9. Shonda Kuiper & Rodney X. Sturdivant, 2015. "Using Online Game-Based Simulations to Strengthen Students’ Understanding of Practical Statistical Issues in Real-World Data Analysis," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 354-361, November.
    10. Anand Desai, 2008. "Quantitative methods, economics, and or models," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 640-669.
    11. Ángel Peiró-Signes & Óscar Trull & Marival Segarra-Oña & J. Carlos García-Díaz, 2020. "Attitudes Towards Statistics in Secondary Education: Findings from fsQCA," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    12. Nicholas Jon Horton, 2016. "Discussion: Making Progress in a Crowded Market," International Statistical Review, International Statistical Institute, vol. 84(2), pages 179-181, August.
    13. Irena Ograjenšek & Iddo Gal, 2016. "Enhancing Statistics Education by Including Qualitative Research," International Statistical Review, International Statistical Institute, vol. 84(2), pages 165-178, August.
    14. Constance H. McLaren & Bruce J. McLaren, 2014. "Possible or Probable? An Experiential Approach to Probability Literacy," INFORMS Transactions on Education, INFORMS, vol. 14(3), pages 129-136, May.
    15. Wolfgang Härdle & Sigbert Klinke & Uwe Ziegenhagen, 2007. "On the Utility of E‐Learning in Statistics," International Statistical Review, International Statistical Institute, vol. 75(3), pages 355-364, December.
    16. Forney Andrew & Mueller Scott, 2022. "Causal inference in AI education: A primer," Journal of Causal Inference, De Gruyter, vol. 10(1), pages 141-173, January.
    17. Joel B. Greenhouse & Howard J. Seltman, 2018. "On Teaching Statistical Practice: From Novice to Expert," The American Statistician, Taylor & Francis Journals, vol. 72(2), pages 147-154, April.
    18. Claudia Vásquez & Israel García-Alonso & María José Seckel & Ángel Alsina, 2021. "Education for Sustainable Development in Primary Education Textbooks—An Educational Approach from Statistical and Probabilistic Literacy," Sustainability, MDPI, vol. 13(6), pages 1-20, March.
    19. Carl J. Schwarz, 2007. "Computer‐Aided Statistical Instruction—Multi‐Mediocre Techno‐Trash?," International Statistical Review, International Statistical Institute, vol. 75(3), pages 348-354, December.
    20. Claudia Vásquez & Ángel Alsina, 2021. "Analysing Probability Teaching Practices in Primary Education: What Tasks Do Teachers Implement?," Mathematics, MDPI, vol. 9(19), pages 1-21, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9051-:d:437780. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.