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A Process Model for transitioning to alternative assessment and authentication in response to the COVID19 emergency restrictions

Stynes, Paul, Cogan, Sam, Sheridan, Frances and Pathak, Pramod (2022) A Process Model for transitioning to alternative assessment and authentication in response to the COVID19 emergency restrictions. In: EDUNINE 2022 - 6th IEEE World Engineering Education Conference: Rethinking Engineering Education After COVID-19: A Path to the New Normal, Proceedings. IEEE. ISBN 978-1-6654-8336-0

Full text not available from this repository.
Official URL: http://doi.org/10.1109/EDUNINE53672.2022.9782395

Abstract

Terminal exams moved to online in response to the COVID19 emergency restrictions. Moving to alternative forms of assessment in a short timescale presents challenges for academic integrity. Academic integrity revolves around determining that work submitted is by the enrolled learner. This research proposes a Terminal Assignment Based Assessment Process Model that provides faculty with structured guidance to address academic integrity issues. The process model describes the roles and responsibilities of Academic and Administrative staff in the creation of assessments that are valid and reliable. Guidance revolves around assessment variability and information use. Assessment variability involves introducing variability into the question so that each student works on a unique problem. Information use revolves around the application of knowledge rather than knowledge recall. The process model was applied successfully over four semesters. This research discusses the process model and guidance with an applied examples of assessment variability and information use.

Item Type: Book Section
Subjects: L Education > LB Theory and practice of education > LB2300 Higher Education
Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
L Education > LB Theory and practice of education > LB2300 Higher Education > Assessment
Divisions: School of Computing > Staff Research and Publications
Depositing User: Clara Chan
Date Deposited: 05 Apr 2022 14:31
Last Modified: 11 Jul 2022 16:36
URI: https://norma.ncirl.ie/id/eprint/5576

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