IDEAS home Printed from https://ideas.repec.org/a/jtc/journl/v2y2018i2p68-78.html
   My bibliography  Save this article

Using Google Drawings to Create Homework Exercises

Author

Listed:
  • Oskar Harmon

    (University of Connecticut)

  • Robert Szarka

    (State University of New York at Oneonta)

Abstract

We show how Google Drive’s Drawings tool can be used to create homework exercises suitable for both online and face-to-face classes. This approach allows students to...

Suggested Citation

  • Oskar Harmon & Robert Szarka, 2018. "Using Google Drawings to Create Homework Exercises," Journal of Economics Teaching, Journal of Economics Teaching, vol. 2(2), pages 68-78, January.
    • Handle: RePEc:jtc:journl:v:2:y:2018:i:2:p:68-78
    as

    Download full text from publisher

    File URL: http://downloads.journalofeconomicsteaching.org/2/2/2-1.pdf
    Download Restriction: no
    File URL: https://www.journalofeconomicsteaching.org/using-google-drawings-to-create-homework-exercises-harmon-szarka/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. William T. Alpert & Kenneth A. Couch & Oskar R. Harmon, 2016. "A Randomized Assessment of Online Learning," American Economic Review, American Economic Association, vol. 106(5), pages 378-382, May.
    Full references (including those not matched with items on IDEAS)

    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. Joshua Goodman & Julia Melkers & Amanda Pallais, 2019. "Can Online Delivery Increase Access to Education?," Journal of Labor Economics, University of Chicago Press, vol. 37(1), pages 1-34.
    2. M Paula Cacault & Christian Hildebrand & Jérémy Laurent-Lucchetti & Michele Pellizzari, 2021. "Distance Learning in Higher Education: Evidence from a Randomized Experiment [A Randomized Assessment of Online Learning]," Journal of the European Economic Association, European Economic Association, vol. 19(4), pages 2322-2372.
    3. Laia Navarro-Sola, 2021. "Secondary Schools with Televised Lessons: The Labor Market Returns of the Mexican Telesecundaria," Working Papers 2021-053, Human Capital and Economic Opportunity Working Group.
    4. George Bulman & Robert Fairlie, 2022. "The Impact of COVID-19 on Community College Enrollment and Student Success: Evidence from California Administrative Data," Education Finance and Policy, MIT Press, vol. 17(4), pages 745-764, Fall.
    5. Gu, Xin & Li, Haizheng, 2023. "Does the Closeness of Peers Matter? An Investigation Using Online Training Platform Data and Survey Data," IZA Discussion Papers 15964, Institute of Labor Economics (IZA).
    6. Grace Eau & Derek Hoodin & Tareena Musaddiq, 2022. "Testing the effects of adaptive learning courseware on student performance: An experimental approach," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 1086-1118, January.
    7. Shen, Xuejing & Li, Shaoping & Liu, Chengfang & Luo, Renfu & Chen, Yuting, 2021. "Online Learning during the COVID-19 Pandemic Among Primary and High School Students in Rural China," 2021 Conference, August 17-31, 2021, Virtual 315351, International Association of Agricultural Economists.
    8. Ahn, Kunwon & Lee, Jun Yeong & Winters, John V., 2020. "Employment Opportunities and High School Completion during the COVID-19 Recession," IZA Discussion Papers 13802, Institute of Labor Economics (IZA).
    9. Clark, Andrew E. & Nong, Huifu & Zhu, Hongjia & Zhu, Rong, 2021. "Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic," China Economic Review, Elsevier, vol. 68(C).
    10. Maria De Paola & Francesca Gioia & Vincenzo Scoppa, 2022. "Online Teaching, Procrastination And Students’ Achievement: Evidence From Covid-19 Induced Remote Learning," Working Papers 202202, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    11. Justin C. Ortagus & Lijing Yang, 2018. "An Examination of the Influence of Decreases in State Appropriations on Online Enrollment at Public Universities," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(7), pages 847-865, November.
    12. Jacqmin, Julien, 2019. "Providing MOOCs: A FUN way to enroll students?," Information Economics and Policy, Elsevier, vol. 48(C), pages 32-39.
    13. Riudavets-Barcons, Marc & Uusitalo, Roope, 2023. "School Closures and Student Achievement: Evidence from a High Stakes Exam," IZA Discussion Papers 16074, Institute of Labor Economics (IZA).
    14. Daniel Klasik & Kristin Blagg & Zachary Pekor, 2018. "Out of the Education Desert: How Limited Local College Options are Associated with Inequity in Postsecondary Opportunities," Social Sciences, MDPI, vol. 7(9), pages 1-26, September.
    15. Yi Lu & Hong Song, 2020. "The effect of educational technology on college students’ labor market performance," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(3), pages 1101-1126, July.
    16. Engelhardt, Bryan & Johnson, Marianne & Meder, Martin E., 2021. "Learning in the time of Covid-19: Some preliminary findings," International Review of Economics Education, Elsevier, vol. 37(C).
    17. Hill, Andrew J. & LoPalo, Melissa, 2024. "The effects of online vs in-class testing in moderate-stakes college environments," Economics of Education Review, Elsevier, vol. 98(C).
    18. Nabil Afodjo & Christopher Cotton & Maggie Jones, 2023. "Student Experiences with COVID-19 in Canada," Working Paper 1511, Economics Department, Queen's University.
    19. Artz, Benjamin & Johnson, Marianne & Robson, Denise & Siemers, Sarinda, 2022. "Live or lecture capture: Evidence from a classroom random control trial," International Review of Economics Education, Elsevier, vol. 40(C).
    20. Liao, Haoye & Ma, Sen & Xue, Hao, 2022. "Does school shutdown increase inequality in academic performance? Evidence from COVID-19 pandemic in China," China Economic Review, Elsevier, vol. 75(C).

    More about this item

    Keywords

    google drive; graphs; homework;
    All these keywords.

    JEL classification:

    • A21 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Pre-college
    • A22 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Undergraduate

    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:jtc:journl:v:2:y:2018:i:2:p:68-78. 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: Ben Smith (email available below). General contact details of provider: https://www.journalofeconomicsteaching.org/ .

    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.