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ThinkMind // CLOUD COMPUTING 2021, The Twelfth International Conference on Cloud Computing, GRIDs, and Virtualization // View article cloud_computing_2021_2_10_28001


Integrity Through Non-Fungible Assessments in Cloud-Based Technology Courses

Authors:
Aspen Olmsted

Keywords: E-Learning; Cloud Computing; Cybersecurity; Auto-Graders

Abstract:
The US and world economies need more trained technical workers. These workers' demand has driven prominent private universities to create large, reduced-cost programs for graduate students. Unfortunately, less than twenty-five percent of the population has an undergraduate degree, and most do not have the pre-requisite knowledge to enter these graduate-level programs. In this paper, we look at developing an undergraduate technology program through cloud-based automatically graded labs and assessments that can guarantee the integrity and availability required to scale these programs to meet the demand for workers with these skills. We develop techniques to increase lab participation and integrity through a concept we call non-fungible labs. We also formulate testing assessments that allow each student to have a different version of the test. We provide preliminary evidence that these assessments have, in fact, increased engagement and integrity in our online sections of courses in our undergraduate Massive Open Online Courses computer science programs.

Pages: 30 to 36

Copyright: Copyright (c) IARIA, 2021

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-845-7

Location: Porto, Portugal

Dates: from April 18, 2021 to April 22, 2021

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