IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v56y2017icp118-132.html
   My bibliography  Save this article

The impact of computer usage on academic performance: Evidence from a randomized trial at the United States Military Academy

Author

Listed:
  • Carter, Susan Payne
  • Greenberg, Kyle
  • Walker, Michael S.

Abstract

We present findings from a study that prohibited computer devices in randomly selected classrooms of an introductory economics course at the United States Military Academy. Average final exam scores among students assigned to classrooms that allowed computers were 0.18 standard deviations lower than exam scores of students in classrooms that prohibited computers. Through the use of two separate treatment arms, we uncover evidence that this negative effect occurs in classrooms where laptops and tablets are permitted without restriction and in classrooms where students are only permitted to use tablets that must remain flat on the desk.

Suggested Citation

  • Carter, Susan Payne & Greenberg, Kyle & Walker, Michael S., 2017. "The impact of computer usage on academic performance: Evidence from a randomized trial at the United States Military Academy," Economics of Education Review, Elsevier, vol. 56(C), pages 118-132.
  • Handle: RePEc:eee:ecoedu:v:56:y:2017:i:c:p:118-132
    DOI: 10.1016/j.econedurev.2016.12.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775716303454
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2016.12.005?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.

    References listed on IDEAS

    as
    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Beland, Louis-Philippe & Murphy, Richard, 2016. "Ill Communication: Technology, distraction & student performance," Labour Economics, Elsevier, vol. 41(C), pages 61-76.
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    4. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    5. Philip Oreopoulos & Daniel Lang & Joshua Angrist, 2009. "Incentives and Services for College Achievement: Evidence from a Randomized Trial," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 136-163, January.
    6. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    7. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    8. Stephen G. Donald & Kevin Lang, 2007. "Inference with Difference-in-Differences and Other Panel Data," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 221-233, May.
    9. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    10. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    11. Joshua Angrist & Philip Oreopoulos & Tyler Williams, 2014. "When Opportunity Knocks, Who Answers?: New Evidence on College Achievement Awards," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 572-610.
    12. Carrillo, Paul E. & Onofa, Mercedes & Ponce, Juan, 2010. "Information Technology and Student Achievement: Evidence from a Randomized Experiment in Ecuador," IDB Publications (Working Papers) 3094, Inter-American Development Bank.
    13. Oriana Bandiera & Valentino Larcinese & Imran Rasul, 2010. "Heterogeneous Class Size Effects: New Evidence from a Panel of University Students," Economic Journal, Royal Economic Society, vol. 120(549), pages 1365-1398, December.
    14. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    15. Will Dobbie & Roland G. Fryer, 2011. "Are High-Quality Schools Enough to Increase Achievement among the Poor? Evidence from the Harlem Children's Zone," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 158-187, July.
    16. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    17. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    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. Johnson, Marianne & Meder, Martin E., 2024. "Twenty-three years of teaching economics with technology," International Review of Economics Education, Elsevier, vol. 45(C).
    2. Michael S. Kofoed & Lucas Gebhart & Dallas Gilmore & Ryan Moschitto, 2024. "Zooming to Class? Experimental Evidence on College Students' Online Learning during COVID-19," American Economic Review: Insights, American Economic Association, vol. 6(3), pages 324-340, September.
    3. Haggag, Kareem & Patterson, Richard W. & Pope, Nolan G. & Feudo, Aaron, 2021. "Attribution bias in major decisions: Evidence from the United States Military Academy," Journal of Public Economics, Elsevier, vol. 200(C).
    4. Patterson, Richard & Pope, Nolan G. & Feudo, Aaron, 2019. "Timing Is Everything: Evidence from College Major Decisions," IZA Discussion Papers 12069, Institute of Labor Economics (IZA).
    5. Oreopoulos, Philip, 2020. "Promises and Limitations of Nudging in Education," IZA Discussion Papers 13718, Institute of Labor Economics (IZA).
    6. Patterson, Richard W. & Patterson, Robert M., 2017. "Computers and productivity: Evidence from laptop use in the college classroom," Economics of Education Review, Elsevier, vol. 57(C), pages 66-79.
    7. Cesur, Resul & Sabia, Joseph J. & Tekin, Erdal, 2020. "Post-9/11 War Deployments Increased Crime among Veterans," IZA Discussion Papers 13304, Institute of Labor Economics (IZA).
    8. Michael Gr. Voskoglou & Abdel-Badeeh M. Salem, 2020. "Benefits and Limitations of the Artificial with Respect to the Traditional Learning of Mathematics," Mathematics, MDPI, vol. 8(4), pages 1-15, April.
    9. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2021. "A laptop for every child? The impact of technology on human capital formation," Labour Economics, Elsevier, vol. 69(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. Astghik Mavisakalyan & Anu Rammohan, 2021. "Female autonomy in household decision-making and intimate partner violence: evidence from Pakistan," Review of Economics of the Household, Springer, vol. 19(1), pages 255-280, March.
    12. Frances Woolley, 2018. "The political economy of university education in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(4), pages 1061-1087, November.
    13. Meyer, Kevin, 2022. "Do laptops in the classroom produce negative externalities? Evidence from a classroom field experiment," International Review of Economics Education, Elsevier, vol. 41(C).
    14. Luca Bonacini & Marina Murat, 2023. "Beyond the Covid-19 pandemic: remote learning and education inequalities," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 207-236, February.
    15. Ming Wen & Weidong Wang & Neng Wan & Dejun Su, 2020. "Family Income and Student Educational and Cognitive Outcomes in China: Exploring the Material and Psychosocial Mechanisms," Social Sciences, MDPI, vol. 9(12), pages 1-23, December.
    16. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2019. "A laptop for every child? The impact of ICT on educational outcomes," Working Paper Series 2019:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    17. Marie Connolly & Catherine Haeck, 2018. "Le lien entre la taille des classes et les compétences cognitives et non cognitives," CIRANO Project Reports 2018rp-18, CIRANO.

    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. Vilsa E. Curto & Roland G. Fryer Jr., 2014. "The Potential of Urban Boarding Schools for the Poor: Evidence from SEED," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 65-93.
    2. Murphy, Richard & Weinhardt, Felix, 2020. "Top of the Class: The Importance of Ordinal Rank," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 87(6), pages 2777-2826.
    3. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    4. Yang, Minseok & Lee, Ho Jun, 2022. "Do school resources reduce socioeconomic achievement gap? Evidence from PISA 2015," International Journal of Educational Development, Elsevier, vol. 88(C).
    5. Bandiera, Oriana & Larcinese, Valentino & Rasul, Imran, 2015. "Blissful ignorance? A natural experiment on the effect of feedback on students' performance," Labour Economics, Elsevier, vol. 34(C), pages 13-25.
    6. Jonah E. Rockoff, 2008. "Does Mentoring Reduce Turnover and Improve Skills of New Employees? Evidence from Teachers in New York City," NBER Working Papers 13868, National Bureau of Economic Research, Inc.
    7. Johnson, Helen & McNally, Sandra & Rolfe, Heather & Ruiz-Valenzuela, Jenifer & Savage, Robert & Vousden, Janet & Wood, Clare, 2019. "Reprint of: Teaching assistants, computers and classroom management," Labour Economics, Elsevier, vol. 59(C), pages 17-32.
    8. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    9. Ellis, Jimmy R. & Gershenson, Seth, 2016. "LATE for the Meeting: Gender, Peer Advising, and College Success," IZA Discussion Papers 9956, Institute of Labor Economics (IZA).
    10. Stephen Machin & Sandra McNally & Martina Viarengo, 2018. "Changing How Literacy Is Taught: Evidence on Synthetic Phonics," American Economic Journal: Economic Policy, American Economic Association, vol. 10(2), pages 217-241, May.
    11. Canales, Andrea & Maldonado, Luis, 2018. "Teacher quality and student achievement in Chile: Linking teachers' contribution and observable characteristics," International Journal of Educational Development, Elsevier, vol. 60(C), pages 33-50.
    12. Ellis, Jimmy R. & Gershenson, Seth, 2020. "Gender, peer advising, and college success," Labour Economics, Elsevier, vol. 62(C).
    13. Cook, Jason B. & Mansfield, Richard K., 2016. "Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers," Journal of Public Economics, Elsevier, vol. 140(C), pages 51-72.
    14. Murphy, Richard & Weinhardt, Felix & Wyness, Gill, 2021. "Who teaches the teachers? A RCT of peer-to-peer observation and feedback in 181 schools," Economics of Education Review, Elsevier, vol. 82(C).
    15. Robert Metcalfe & Simon Burgess and Steven Proud, 2011. "Student effort and educational attainment: Using the England football team to identify the education production function," Economics Series Working Papers 586, University of Oxford, Department of Economics.
    16. Burgess, Simon & Metcalfe, Robert & Sadoff, Sally, 2021. "Understanding the response to financial and non-financial incentives in education: Field experimental evidence using high-stakes assessments," Economics of Education Review, Elsevier, vol. 85(C).
    17. Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021. "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series 9847, The World Bank.
    18. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    19. Zurab Abramishvili & David Tsirekidze, 2019. "Value Added of Universities: Evidence From Georgia," Economics Bulletin, AccessEcon, vol. 39(3), pages 2184-2191.
    20. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.

    More about this item

    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:56:y:2017:i:c:p:118-132. 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: 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.