an empirical review of ethical decision-making

An Empirical Review of Ethical Decision-Making Ralph Ferguson, Managing DirectorLisa J. James, Associate DirectorLora L. Lopez, Program ManagerAnastasia Coles, Program Manager

Copyright © 2020 TTU Ethics Center. All rights reserved.

TTU Statement of Ethical Principles

Agenda

1. Introductions

2. Academic Misconduct

3. Survey Results by Classification

4. Academic Integrity Survey Data

5. Plagiarism Detection Software

6. Recommendations

7. Q & A

Academic Misconduct

Bertram Gallant, T. (2008). Academic integrity in the twenty-first century: A teaching and learning imperative. ASHE Higher Education. Hoboken, NJ: Wiley Periodicals. ISBN 978-0-4703-7366-8.

Plagiarism – using another’s words or ideas without appropriate attribution or without following citation conventions;

Fabrication – making up data, results, information, or numbers, and recording and reporting them;

Falsification – manipulating research, data, or results to inaccurately portray information in reports (research, financial, or other) or academic assignments;

Misrepresentation – falsely representing oneself, efforts, or abilities; and;

Misbehavior – acting in ways that are not overtly misconduct but are counter to prevailing behavioral expectations.

Academic Integrity Survey Data

“Strive for Honor Week”Academic Integrity Survey Data

By Student Classification

2016 Academic Integrity Survey Results

2016 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.

Academic Integrity Survey Data

“Strive for Honor Week”Academic Integrity Survey Data



0.9% 2.3%

17.7%

79.1%

Not at all important Somewhat important Important Very important

Academic Integrity means that you are accountable for your own work.



0.4% 2.0%

20.3%

77.2%

Not at all important Somewhat important Important Very important




0.2% 0.2%4.0%

14.6%

80.9%

Not at all important Somewhat important Neutral Important Very Important


Plagiarism Detection Software

Plagiarism Detection SoftwareAn Overview

Plagiarism Detection Software - Pros

Plagiarism Detection Software 1. Detector

2. Deterrent

3. Learning Tool

4. Time Saver

5. Reduces Workload

Dodigovic, M. (2013). The role of anti-plagiarism software in learning to paraphrase effectively. Computer Assisted Language Learning – Electronic Journal, 14(2), 23-37.

Plagiarism Detection Software - Cons

Mozgovoy, M., Kakkonen, T., & Cosma, G. (2010). Automatic student plagiarism detection: Future perspectives. Journal of Educational Computing Research, 43(4), 511-531.

Ethical and Legal Issues

•False Positive Plagiarism Detection

•Violates Intellectual Property Rights

•Presumption of Guilt

•Intention to Deceive is Hard to Prove

Plagiarism Detection Software - Outcomes

Academic Misconduct•Tarnish Reputation

•Loss of Institutional Credibility

•Risk of Sanctions

•Forfeiture of Credential and/or Program

•Fabrication and Falsification of Data

•Conflict of Interest: Monetary Benefits, Intellectual Property Rights, Contribution

Recommendations

• Workshops – train faculty, instructors, researchers, and administrators to utilize software effectively

• Due Diligence – compare Similarity Report against submission

• Educate – students and faculty how to paraphrase, cite correctly, and why it is important


Questions

References

Bertram Gallant, T. (2008). Academic integrity in the twenty-first century: A teaching and learning imperative. ASHE Higher Education. Hoboken, NJ: Wiley Periodicals, Inc. ISBN 978-0-4703-7366-8.


Mozgovoy, M., Kakkonen, T., & Cosma, G. (2010). Automatic student plagiarism detection: Future perspectives. Journal of Educational Computing Research, 43(3), 511-531.

Texas Tech University Ethics CenterP.O. Box 41004

Lubbock, Texas 79409-1004806.742.1506

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an empirical review of ethical decision-making

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