IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v70y2019icp173-191.html
   My bibliography  Save this article

Promoting cognitive and soft skills acquisition in a disadvantaged public school system: Evidence from the Nurture thru Nature randomized experiment

Author

Listed:
  • Jagannathan, Radha
  • Camasso, Michael J.
  • Delacalle, Maia

Abstract

It is widely acknowledged that our public schools have failed to produce sufficient levels of high quality STEM education. The mathematics and science performance of minority and disadvantaged students has been especially troubling with blacks and Hispanics substantially underrepresented in the STEM labor market. In this paper we examine the impacts of a STEM enhancement program called Nurture thru Nature (NtN) on the cognitive (academic grades) and soft skills development of 139 elementary school students who attended the program over an eight year period (2010–2017). Utilizing a randomized experimental design or RCT with a control group of 491 elementary school students, we find that NtN slows the deterioration in students’ math and science grades relative to controls and improves soft skills such as conscientiousness, higher order thinking, empathy, and pro-social behavior.

Suggested Citation

  • Jagannathan, Radha & Camasso, Michael J. & Delacalle, Maia, 2019. "Promoting cognitive and soft skills acquisition in a disadvantaged public school system: Evidence from the Nurture thru Nature randomized experiment," Economics of Education Review, Elsevier, vol. 70(C), pages 173-191.
  • Handle: RePEc:eee:ecoedu:v:70:y:2019:i:c:p:173-191
    DOI: 10.1016/j.econedurev.2019.04.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S027277571830428X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2019.04.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Cognitive skills; Non-cognitive skills; Randomized experiment; STEM enhancement program; Nurture thru Nature (NTN) program; Multi-level models;
    All these keywords.

    JEL classification:

    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J49 - Labor and Demographic Economics - - Particular Labor Markets - - - Other

    Statistics

    Access and download statistics

    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:eee:ecoedu:v:70:y:2019:i:c:p:173-191. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    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.