IDEAS home Printed from https://ideas.repec.org/a/eee/ireced/v41y2022ics1477388022000196.html
   My bibliography  Save this article

Teaching with Twitter: An extension to the traditional learning environment

Author

Listed:
  • Middleditch, Paul
  • Moindrot, Will
  • Rudkin, Simon

Abstract

Recent global events have forced a reexamination of the teaching tools that we make use of in higher education. We present our findings from a pilot, using Twitter as an extension to the learning environment for economics students at the University of Manchester and draw lessons for the use of this platform as part of a taught course. We suggest that, whilst popular in terms of personal adoption with students, the use of the Twitter platform is not empirically important for learning outcomes, with the important exception of where students have a history of lower performance. As a result, we suggest that targeted use may prove more warranted where the range of abilities is wide.

Suggested Citation

  • Middleditch, Paul & Moindrot, Will & Rudkin, Simon, 2022. "Teaching with Twitter: An extension to the traditional learning environment," International Review of Economics Education, Elsevier, vol. 41(C).
    • Handle: RePEc:eee:ireced:v:41:y:2022:i:c:s1477388022000196
    DOI: 10.1016/j.iree.2022.100252
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1477388022000196
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iree.2022.100252?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. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    2. Weili Ding & Steven Lehrer, 2011. "Experimental estimates of the impacts of class size on test scores: robustness and heterogeneity," Education Economics, Taylor & Francis Journals, vol. 19(3), pages 229-252.
    3. Francesco Andreoli & Tarjei Havnes & Arnaud Lefranc, 2019. "Robust Inequality of Opportunity Comparisons: Theory and Application to Early Childhood Policy Evaluation," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 355-369, May.
    4. Davillas, Apostolos & Jones, Andrew M, 2020. "Ex ante inequality of opportunity in health, decomposition and distributional analysis of biomarkers," Journal of Health Economics, Elsevier, vol. 69(C).
    5. João M R Pereira & Aurora Galego, 2020. "Diverging trends of wage inequality in Europe," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 566-566.
    6. Lanlin Ding & Andrew M. Jones & Peng Nie, 2022. "Ex ante Inequality of Opportunity in Health among the Elderly in China: A Distributional Decomposition Analysis of Biomarkers," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 922-950, December.
    7. David Powell, 2020. "Quantile Treatment Effects in the Presence of Covariates," The Review of Economics and Statistics, MIT Press, vol. 102(5), pages 994-1005, December.
    8. Erin E. George, 2019. "Tweeting Adam Smith: Using Twitter to Engage Students in the History of Economic Thought," Journal of Economics Teaching, Journal of Economics Teaching, vol. 4(1), pages 15-26, May.
    9. Al-Bahrani, Abdullah & Patel, Darshak & Sheridan, Brandon, 2015. "Engaging students using social media: The students’ perspective," International Review of Economics Education, Elsevier, vol. 19(C), pages 36-50.
    10. Francesco Andreoli & Tarjei Havnes & Arnaud Lefranc, 2019. "Robust Inequality of Opportunity Comparisons: Theory and Application to Early Childhood Policy Evaluation," Post-Print hal-03677673, HAL.
    11. Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
    12. Edwards, Finley, 2012. "Early to rise? The effect of daily start times on academic performance," Economics of Education Review, Elsevier, vol. 31(6), pages 970-983.
    13. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    14. Arulampalam, Wiji & Naylor, Robin A. & Smith, Jeremy, 2012. "Am I missing something? The effects of absence from class on student performance," Economics of Education Review, Elsevier, vol. 31(4), pages 363-375.
    15. Abdullah Al-Bahrani & Darshak Patel, 2015. "Incorporating Twitter, Instagram, and Facebook in Economics Classrooms," The Journal of Economic Education, Taylor & Francis Journals, vol. 46(1), pages 56-67, March.
    16. Bijan J. Borah & Anirban Basu, 2013. "Highlighting Differences Between Conditional And Unconditional Quantile Regression Approaches Through An Application To Assess Medication Adherence," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1052-1070, September.
    17. Freire, Tiago & Rudkin, Simon, 2019. "Healthy food diversity and supermarket interventions: Evidence from the Seacroft Intervention Study," Food Policy, Elsevier, vol. 83(C), pages 125-138.
    18. Harmon, Oskar R. & Tomolonis, Paul A., 2019. "The effects of using Facebook as a discussion forum in an online principles of economics course: Results of a randomized controlled trial," International Review of Economics Education, Elsevier, vol. 30(C), pages 1-1.
    19. Jones, Michael D. & Baltzersen, Max, 2017. "Using twitter for economics business case discussions in large lectures," International Review of Economics Education, Elsevier, vol. 26(C), pages 14-18.
    20. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    21. Deerfield, Amanda, 2019. "Quantile regression analysis of cooperative learning effects," International Review of Economics Education, Elsevier, vol. 30(C), pages 1-1.
    22. Abdullah Al-Bahrani & Darshak Patel & Brandon J. Sheridan, 2017. "Evaluating Twitter and its impact on student learning in principles of economics courses," The Journal of Economic Education, Taylor & Francis Journals, vol. 48(4), pages 243-253, October.
    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. Francesco Longo & Luigi Siciliani & Giuseppe Moscelli & Hugh Gravelle, 2019. "Does hospital competition improve efficiency? The effect of the patient choice reform in England," Health Economics, John Wiley & Sons, Ltd., vol. 28(5), pages 618-640, May.
    2. Raffaele Miniaci & Paolo Panteghini, 2021. "On the Capital Structure of Foreign Subsidiaries: Evidence from a Panel Data Quantile Regression Model," CESifo Working Paper Series 9085, CESifo.
    3. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    4. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    5. Callaway, Brantly & Li, Tong & Oka, Tatsushi, 2018. "Quantile treatment effects in difference in differences models under dependence restrictions and with only two time periods," Journal of Econometrics, Elsevier, vol. 206(2), pages 395-413.
    6. Akwasi Ampofo, 2021. "Oil at work: natural resource effects on household well-being in Ghana," Empirical Economics, Springer, vol. 60(2), pages 1013-1058, February.
    7. Sinha, Kompal & Davillas, Apostolos & Jones, Andrew M. & Sharma, Anurag, 2021. "Do socioeconomic health gradients persist over time and beyond income? A distributional analysis using UK biomarker data," Economics & Human Biology, Elsevier, vol. 43(C).
    8. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    9. Evangelista, Rui & Silva, João Andrade e & Ramalho, Esmeralda A., 2022. "How heterogeneous is the impact of energy efficiency on dwelling prices? Evidence from the application of the unconditional quantile hedonic model to the Portuguese residential market," Energy Economics, Elsevier, vol. 109(C).
    10. Cobb-Clark, Deborah A. & Kassenboehmer, Sonja C. & Sinning, Mathias G., 2016. "Locus of control and savings," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 113-130.
    11. Denis Chetverikov & Bradley Larsen & Christopher Palmer, 2016. "IV Quantile Regression for Group‐Level Treatments, With an Application to the Distributional Effects of Trade," Econometrica, Econometric Society, vol. 84, pages 809-833, March.
    12. Thanh P. Bui & Katsushi S. Imai, 2019. "Determinants of Rural-Urban Inequality in Vietnam: Detailed Decomposition Analyses Based on Unconditional Quantile Regressions," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2610-2625, December.
    13. Zheng Fang & Yoko Niimi, 2015. "Do Losses Bite More than Gains? Evidence from a Panel Quantile Regression Analysis of Subjective Well-being in Japan," Economic Growth Centre Working Paper Series 1507, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    14. Meng-Shiuh Chang & Meng-Wei Chen & Peijie Ju, 2023. "Asymmetry in Hedges, Safe Havens, Flights and Contagion: Unconditional Quantile Regression Approach," SAGE Open, , vol. 13(4), pages 21582440231, November.
    15. Zheng Fang, 2017. "Panel Quantile Regressions and the Subjective Well-Being in Urban China: Evidence from RUMiC Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 11-24, May.
    16. Bernal, Gloria L. & Penney, Jeffrey, 2019. "Scholarships and student effort: Evidence from Colombia’s Ser Pilo Paga program," Economics of Education Review, Elsevier, vol. 72(C), pages 121-130.
    17. Nikolic, Jelena & Rubil, Ivica & Tomić, Iva, 2017. "Pre-crisis reforms, austerity measures and the public-private wage gap in two emerging economies," Economic Systems, Elsevier, vol. 41(2), pages 248-265.
    18. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2021. "How can investors build a better portfolio in small open economies? Evidence from Asia’s Four Little Dragons," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    19. Paula Herrera-Idárraga & Enrique López-Bazo & Elisabet Motellón, 2016. "Regional Wage Gaps, Education and Informality in an Emerging Country: The Case of Colombia," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(4), pages 432-456, October.
    20. Damette, Olivier & Kouki, Imen, 2022. "Political influence and banking performance: Evidence from the African countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 200-207.

    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:ireced:v:41:y:2022:i:c:s1477388022000196. 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.journals.elsevier.com/international-review-of-economics-education .

    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.