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Engaging large cohorts of students in online formative assessment to reinforce essential learning for summmative assessment

Lyng, Colette and Kelleher, Evelyn (2019) Engaging large cohorts of students in online formative assessment to reinforce essential learning for summmative assessment. AISHE-J: The All Ireland Journal of Teaching and Learning in Higher Education, 11 (1). pp. 1-21. ISSN 2009-3160

Abstract
Assessing large numbers of students is a challenging prospect for educators; they must identify suitable assessment methods to establish that students have achieved the desired learning outcomes, but must also meet tight deadlines for marking, moderating and submitting results. In view of this we developed a new assessment strategy with the aim of replacing a paper-based quiz with online formative and summative quizzes. The rationale for introducing these quizzes is outlined together with a description of the planning, development and implementation process. The advantages of this innovation are discussed in light of relevant literature. The changes made allow a more flexible, student centred approach that fosters student engagement, reinforces essential learning, eliminates errors in marking, and reduces the resources and time required to run the assessment. This strategy to use online quizzes with structured for both formative and summative assessment is pedagogically sound and offers many benefits that stimulate learning and student engagement.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:feedback; formative assessment; online quizzes; student engagement; summative assessment
Subjects:Social Sciences > Education
Social Sciences > Educational technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Nursing, Psychotherapy & Community Health
Publisher:PKP Publishing Services Network
Official URL:https://ojs.aishe.org/index.php/aishe-j/article/vi...
Copyright Information:© 2019 AISHE-J
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:26785
Deposited On:24 Mar 2022 14:07 by Vidatum Academic . Last Modified 24 Mar 2022 14:07
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