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Microelectronic Technology, AI and Academic Dishonesty: An Agile Engineering Approach

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE) Technical Session 1

Tagged Division

Technological and Engineering Literacy/Philosophy of Engineering Division (TELPhE)

Page Count

14

DOI

10.18260/1-2--43642

Permanent URL

https://strategy.asee.org/43642

Download Count

265

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Paper Authors

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Tyler Thomas Procko Embry-Riddle Aeronautical University

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Mr. Procko graduated ERAU in 2020 as a software engineer. He has over five years’ experience in applied Ontology, Linked Data and Semantic Web work. Currently, he is pursuing his Ph.D. in Electrical Engineering and Computer Science under the auspices of the Department of Defense through the Science, Mathematics and Research for Transformation (SMART) scholarship program. Mr. Procko spends each summer participating in research at the Air Force Research Lab’s Information Directorate in Rome, New York, under Linked Data experts Nicholas Del Rio and Timothy Lebo. His dissertation centers around the use of ontologies and NLP to enrich the research process, with a use case in software development life cycle provenance.

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Omar Ochoa Embry-Riddle Aeronautical University

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Christina Frederick Embry-Riddle Aeronautical University Orcid 16x16 orcid.org/0000-0003-4637-7842

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Dr. Frederick is currently a Professor and Graduate Program Coordinator in the Human Factors and Systems Department at Embry-Riddle Aeronautical University in Daytona Beach, Florida. Dr. Frederick received her Ph.D. in 1991 from the University of Rochest

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Abstract

With general computing technology being easily accessible to any individual, concerns arise when academic testing is implemented. These concerns include the potential effect on academic integrity, veracity and tenability, through the act of cheating. Mobile phones are as common as textbooks in the classroom. Microcomputers the size of a fingernail, with the ability to compute, display, and output information to a user are no longer an assumptive prognostication of an outdated science fiction reader. COVID-19 brought with it a shift to remote, online learning, both in high schools and colleges, where acts of academic dishonesty abounded. There is a dire need to address the issue of cheating in academia, especially those facets of academia conducted remotely. Students who cheat may be unprepared for college-level coursework or lack true disciplinary skills needed to enter the workforce. The result is that colleges and universities may need to increase spending to better monitor testing, as well as enhance remedial services to students who enter college unprepared. Increased cost remedies may be passed on to future students through increased tuition costs. This paper provides a review of the topic of technology and its role in academic cheating, in addition to concise conclusions for the educator. Special attention is given to the current and future possibility of microelectronic technology being used in deceitful academic acts. In addition, based on the results of the literature survey conducted for this work, recommendations for future research in this area are discussed at length. Educators face a seeming dichotomy: persist in traditional anti-cheating educational structures, advancing anti-cheating technology and jurisprudence; or, embrace technological progress and encourage the cooperative use of student technology in learning. Finally, we propose incorporating Agile approaches in education as a potential solution.

Procko, T. T., & Ochoa, O., & Frederick, C. (2023, June), Microelectronic Technology, AI and Academic Dishonesty: An Agile Engineering Approach Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43642

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