IDEAS home Printed from https://ideas.repec.org/p/fbk/wpaper/2023-01.html
   My bibliography  Save this paper

Effects of an Online Self-Assessment Tool on Teachers’ Digital Competencies

Author

Listed:
  • Giovanni Abbiati
  • Davide Azzolini
  • Anja Balanskat
  • Katja Engelhart
  • Daniela Piazzalunga
  • Enrico Rettore
  • Patricia Wastiau

Abstract

We evaluate the effects of an online self-assessment tool on teachers’ competencies and beliefs about ICT in education. The causal impact of the tool is evaluated through a randomized encouragement design, involving 7,391 lower secondary teachers across 11 European countries. Short-run impact estimates show that the use of the tool led teachers to critically revise their technology-enhanced teaching competencies (-0.14 standard deviations) and their beliefs about ICT in education (-0.35 s.d.), while there is no impact on their probability of taking specific training. The effects are concentrated among teachers in the top-end tail of the distribution of pre-treatment outcomes. We provide suggestive evidence that the feedback score provided by the tool triggered such results by providing a negative information shock.

Suggested Citation

  • Giovanni Abbiati & Davide Azzolini & Anja Balanskat & Katja Engelhart & Daniela Piazzalunga & Enrico Rettore & Patricia Wastiau, 2023. "Effects of an Online Self-Assessment Tool on Teachers’ Digital Competencies," FBK-IRVAPP Working Papers 2023-01, Research Institute for the Evaluation of Public Policies (IRVAPP), Bruno Kessler Foundation.
    • Handle: RePEc:fbk:wpaper:2023-01
    as

    Download full text from publisher

    File URL: https://irvapp.fbk.eu/wp-content/uploads/2023/01/WP_IRVAPP_2023_01.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Trudy Cameron, 2005. "Updating Subjective Risks in the Presence of Conflicting Information: An Application to Climate Change," Journal of Risk and Uncertainty, Springer, vol. 30(1), pages 63-97, January.
    2. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    3. Oliver Falck & Constantin Mang & Ludger Woessmann, 2018. "Virtually No Effect? Different Uses of Classroom Computers and their Effect on Student Achievement," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 1-38, February.
    4. Viscusi, W Kip, 1997. "Alarmist Decisions with Divergent Risk Information," Economic Journal, Royal Economic Society, vol. 107(445), pages 1657-1670, November.
    5. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    6. Comi, Simona Lorena & Argentin, Gianluca & Gui, Marco & Origo, Federica & Pagani, Laura, 2017. "Is it the way they use it? Teachers, ICT and student achievement," Economics of Education Review, Elsevier, vol. 56(C), pages 24-39.
    7. Martin Ravallion, 2018. "Should the Randomistas (Continue to) Rule?," Working Papers 492, Center for Global Development, revised 17 Jan 2019.
    8. Maya Escueta & Andre Joshua Nickow & Philip Oreopoulos & Vincent Quan, 2020. "Upgrading Education with Technology: Insights from Experimental Research," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 897-996, December.
    9. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    10. Matthew Wiswall & Basit Zafar, 2015. "How Do College Students Respond to Public Information about Earnings?," Journal of Human Capital, University of Chicago Press, vol. 9(2), pages 117-169.
    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. Gregorio Gimenez & Luis Vargas-Montoya, 2021. "ICT Use and Successful Learning: The Role of the Stock of Human Capital," Mathematics, MDPI, vol. 9(14), pages 1-15, July.
    2. 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.
    3. Vargas-Montoya, Luis & Gimenez, Gregorio & Fernández-Gutiérrez, Marcos, 2023. "ICT use for learning and students' outcomes: Does the country's development level matter?," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    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. Eric Bettinger & Robert Fairlie & Anastasia Kapuza & Elena Kardanova & Prashant Loyalka & Andrey Zakharov, 2023. "Diminishing Marginal Returns to Computer‐Assisted Learning," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 552-570, March.
    6. Rosa Sanchis-Guarner & José Montalbán & Felix Weinhardt, 2021. "Home Broadband and Human Capital Formation," CESifo Working Paper Series 8846, CESifo.
    7. Falck, Oliver & Heimisch-Roecker, Alexandra & Wiederhold, Simon, 2021. "Returns to ICT skills," Research Policy, Elsevier, vol. 50(7).
    8. Fairlie Robert W., 2016. "Do Boys and Girls Use Computers Differently, and Does It Contribute to Why Boys do Worse in School Than Girls?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 16(1), pages 59-96, January.
    9. Jongseok Ahn, 2022. "Exploring the Negative and Gap-Widening Effects of EdTech on Young Children’s Learning Achievement: Evidence from a Longitudinal Dataset of Children in American K–3 Classrooms," IJERPH, MDPI, vol. 19(9), pages 1-19, April.
    10. Yue Ma & Robert W. Fairlie & Prashant Loyalka & Scott Rozelle, 2020. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer Assisted Learning in China," NBER Working Papers 26953, National Bureau of Economic Research, Inc.
    11. Maximilian Weber & Birgit Becker, 2019. "Browsing the Web for School: Social Inequality in Adolescents’ School-Related Use of the Internet," SAGE Open, , vol. 9(2), pages 21582440198, June.
    12. Kirabo Jackson & Alexey Makarin, 2018. "Can Online Off-the-Shelf Lessons Improve Student Outcomes? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 226-254, August.
    13. Peter Bergman, 2020. "Nudging Technology Use: Descriptive and Experimental Evidence from School Information Systems," Education Finance and Policy, MIT Press, vol. 15(4), pages 623-647, Fall.
    14. Jongseok Ahn, 2020. "Unequal Loneliness in the Digitalized Classroom: Two Loneliness Effects of School Computers and Lessons for Sustainable Education in the E-Learning Era," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    15. Fairlie, Robert W. & Kalil, Ariel, 2017. "The effects of computers on children's social development and school participation: Evidence from a randomized control experiment," Economics of Education Review, Elsevier, vol. 57(C), pages 10-19.
    16. Ferman, Bruno & Finamor, Lucas & Lima, Lycia, 2019. "Are Public Schools Ready to Integrate Math Classes with Khan Academy?," MPRA Paper 94736, University Library of Munich, Germany.
    17. Benjamin Faber & Rosa Sanchis-Guarner & Felix Weinhardt, 2015. "ICT and Education: Evidence from Student Home Addresses," SERC Discussion Papers 0186, Centre for Economic Performance, LSE.
    18. Bergman, Peter & Rogers, Todd, 2017. "The Impact of Defaults on Technology Adoption, and Its Underappreciation by Pollicymakers," Working Paper Series rwp17-021, Harvard University, John F. Kennedy School of Government.
    19. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    20. Bianchi, Nicola & Lu, Yi & Song, Hong, 2022. "The effect of computer-assisted learning on students’ long-term development," Journal of Development Economics, Elsevier, vol. 158(C).

    More about this item

    Keywords

    ICT; technology-enhanced teaching; self-assessed competencies; experimental design; teaching practices;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fbk:wpaper:2023-01. 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: Alessio Tomelleri or Daniela Anesi (email available below). General contact details of provider: https://edirc.repec.org/data/irvapit.html .

    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.