Can e-Authentication Raise the Confidence of Both Students and Teachers in Qualifications Granted Through the e-Assessment Process?

Authors

  • Denise Whitelock Interim Director, Institute of Educational Technology The Open University UK
  • Chris Edwards Lecturer, Institute of Educational Technology Open University
  • Alexandra Okada Educational Researcher The Faculty of Wellbeing, Education and Language Studies The Open University UK

DOI:

https://doi.org/10.56059/jl4d.v7i1.384

Abstract

The EU-funded TeSLA project - Adaptive Trust-based e-Assessment System for Learning (http://tesla-project.eu) has developed a suite of instruments for e-Authentication. These include face recognition, voice recognition, keystroke dynamics, forensic analysis and plagiarism detection were designed for integration within a university's virtual learning environment. These tools were trialed across the seven partner institutions: 4,058 participating students, including 330 Students with special educational needs and disabilities (SEND); 54 teaching staff.

This paper describes the findings of this large-scale study where over 50% of students gave a positive response to the use of these tools. In addition, over 70% agreed that these tools were 'to ensure that my examination results are trusted' and 'to prove that my essay is my own original work'. Teaching staff also reported positive experiences of TeSLA: the figure reaching 100% in one institution. We show there is evidence that a suite of e-authentication tools such as TeSLA can potentially be acceptable to students and staff and be used to increase trust in online assessment. Also, that whilst not yet perfected for SEND students it can still enrich their experience of assessment. We find that care is needed when introducing such technologies to ensure the building of the layers of trust required for their successful adoption.

Author Biographies

Denise Whitelock, Interim Director, Institute of Educational Technology The Open University UK

Denise is the Interim Director of the Institute of Educational Technology at the Open University, UK.  She is a Professor of Technology Enhanced Assessment and Learning and has over thirty years’ experience in AI for designing, researching and evaluating online and computer-based learning in Higher Education.

For complete publication list see: http://oro.open.ac.uk/view/person/dmw8.html

Chris Edwards, Lecturer, Institute of Educational Technology Open University

Chris is a lecturer in the Open University's Institute of Educational Technology. In addition to this research into student authentication, he chairs the Masters module Openness and innovation in eLearning. He also supports Quality Enhancement activities focussing on using new data methods and structures to better understand student study choices.

For complete publication list see: http://oro.open.ac.uk/view/person/che2.html

Alexandra Okada, Educational Researcher The Faculty of Wellbeing, Education and Language Studies The Open University UK

Alexandra is an educational researcher of the Faculty of Wellbeing, Education & Language Studies at The Open University, UK and a senior fellow of the Higher Education Academy.  Her expertise lies at intersections between Technology enhanced learning and Responsible Research and Innovation.

For complete publication list see: http://oro.open.ac.uk/view/person/alpo3.html

References

Bañeres, D.; Baró, X; Guerrero, A.E.; Rodriguez, M.E. (2016) Towards an Adaptive e-Assessment System Based on Trustworthiness. Formative Assessment Learning Data Analytics and Gamification. Chp. 10., pp. 25-48. Elsevier. ISBN: 978-0-12-803637-2. 2016

Bartley, J.M. (2005). Assessment is as assessment does: A conceptual framework for understanding online assessment and measurement. Online assessment and measurement: Foundations and challenges, (pp..1-45). IGI Global.

Edwards, C., Whitelock, D., Okada, A., & Holmes, W. (2018). Trust in online authentication tools for online assessment in both formal and informal contexts. In L. Gómez Chova, A. López Martínez, & I. Candel Torres (Eds.), ICERI2018 Proceedings (pp. 3754–3762). Seville: IATED Academy.

ESG: European Students’ Union (ESU) (Belgium), European University Association (EUA) (Belgium), European Association of Institutions in Higher Education (EURASHE) (Belgium) and European Association for Quality Assurance in Higher Education (ENQA) (Belgium) (2015). Standards and Guidelines for Quality Assurance in the European Higher Education Area (ESG), Bruxelles, Belgium, European Students’ Union (Online). Available at http://www.esu-online.org

Innovation Alliance (2019). Academic integrity. http://www.innovationalliance.eu/de/1-0- understanding-academia/1-2-understanding-academics/1-2-2-academic-integrity/

McCabe, D. L., Trevino, L. K., & Butterfield, K. D. (2001). Cheating in Academic Institutions: A Decade of Research. Ethics & Behavior, 11(3), 219–232. https://doi.org/10.1207/S15327019EB1103_2

Okada, A., Whitelock, D., Holmes, W., & Edwards, C. (2018). Student acceptance of online assessment with e-authentication in the UK. British Journal of Educational Technology, BJET, (Early access).

Van Veen, F., & Sattler, S. (2018). Modeling Updating of Perceived Detection Risk: The Role of Personal Experience, Peers, Deterrence Policies, and Impulsivity. Devient Behavior. https://doi.org/10.1080/01639625.2018.1559409

Wade, M. J. and Breden, F. (1980) The Evolution of Cheating and Selfish Behavior, Behavioral Ecology and Sociobiology, 7(3), pp. 167–172. Available at: https://www-jstor-org.libezproxy.open.ac.uk/stable/4599323?seq=1#metadata_info_tab_contents (Accessed: 6 January 2020).

WGU (2020) Assessments allow students to prove their competency, University web site. Available at: https://www.wgu.edu/admissions/student-experience/assessments.html (Accessed: 6 January 2020).

Published

2020-03-20

How to Cite

Whitelock, D., Edwards, C., & Okada, A. (2020). Can e-Authentication Raise the Confidence of Both Students and Teachers in Qualifications Granted Through the e-Assessment Process?. Journal of Learning for Development, 7(1), 46–60. https://doi.org/10.56059/jl4d.v7i1.384

Issue

Section

Research Articles
Received 2020-01-08
Accepted 2020-02-03
Published 2020-03-20