An Empirical Review of Ethical Decision-Making Ralph Ferguson, Managing Director Lisa J. James, Associate Director Lora L. Lopez, Program Manager Anastasia Coles, Program Manager Copyright © 2020 TTU Ethics Center. All rights reserved.
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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.
2017 Academic Integrity Survey Results
2017 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
2018 Academic Integrity Survey Results
2018 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
2019 Academic Integrity Survey Results
2019 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
Academic Integrity Survey Data
“Strive for Honor Week”Academic Integrity Survey Data
2016 Academic Integrity Survey Results
2016 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
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.
2017 Academic Integrity Survey Results
2017 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
0.4% 2.0%
20.3%
77.2%
Not at all important Somewhat important Important Very important
Academic Integrity means that you are accountable for your own work.
2018 Academic Integrity Survey Results
2018 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
0.2% 0.2%4.0%
14.6%
80.9%
Not at all important Somewhat important Neutral Important Very Important
Academic Integrity means that you are accountable for your own work.
2019 Academic Integrity Survey Results
2019 Academic Integrity Survey Data. Unofficial data collected by TTU Ethics Center Staff.
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
Dodigovic, M. (2013). The role of anti-plagiarism software in learning to paraphrase effectively. Computer Assisted Language Learning – Electronic Journal, 14(2), 23-37.
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.
Dodigovic, M. (2013). The role of anti-plagiarism software in learning to paraphrase effectively. Computer Assisted Language Learning – Electronic Journal, 14(2), 23-37.
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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