Australian universities are grappling with the challenge of plagiarism among students, particularly international students, with a reliance on software such as Turnitin. Measuring plagiarism in this way has limitations, with consequences for the internalisation of academic integrity by international students. An appraisal of such software demonstrates how its purported aims may differ substantially from pragmatic applicability. While academics are reluctant to encourage student obsession with Turnitin similarity percentages to the detriment of genuine academic engagement, higher education providers increasingly (...) view clear-cut metrics as attractive solutions to a deeply complex and widespread phenomenon. Teachers operating in a pathway program for international students raise serious questions about the effectiveness of Turnitin to achieve the desired pedagogical outcomes when they see students expending time and effort in mastering avoidance techniques while remaining immune to the essence of academic scholarly integrity. This paper addresses these concerns and presents alternative and/or complementary recommendations. (shrink)

Plagiarism detection service like Turnitin can be powerful tools to help faculty evaluate whether a student’s paper is plagiarized. But there’s another side to Turnitin: The service promotes itself as a way to help teach students how to avoid plagiarism. I argue that the use of plagiarism detection services as learning tools actually contributes to the problem of plagiarism, by encouraging the idea that original papers are the goal of a class, instead of instruments to assess a student’s (...) ability to understand the class material. In addition, giving students access to the very tool that professors use to evaluate the authenticity of a paper allows students to use the tool to intentionally plagiarize in a way that passes the test. While plagiarism-detection services can help professors investigate suspected acts of plagiarism, they should not be used as a tool to teach students how to write papers. (shrink)

This paper identifies the ethical issues associated with college instructors’ use of plagiarism detection software (PDS), specifically the Turnitin program. It addresses the pros and cons of using such software in higher education, arguing that its use is justified on the basis that it increases institutional trust, and demonstrating that two common criticisms of such software are not universally valid. An analysis of the legal issues surrounding Turnitin, however, indicates that the way it is designed and operates raises (...) some ethical issues because it denies students notice, access and choice about the treatment of their personal information. The paper concludes with a set of guidelines for instructors using Turnitin in the classroom. (shrink)

Plagiarism has been a long standing concern within higher education. Yet with the rapid rise in the use and availability of the Internet, both the research literature and media have raised the notion that the online environment is accelerating the decline in academic ethics. The majority of research that has been conducted to investigate such claims have involved self-report data from students. This study sought to collect empirical data to investigate the potential influence the prevalence of the Internet has had (...) on significant higher education artifacts by comparing dissertations written prior to widespread use of the Internet with those written in a period in ubiquitous Internet use. Due to the prestige associated with the doctoral degree and the fact that the majority of the effort necessary to achieve such a degree resides within the dissertation, this study utilized Doctor of Philosophy dissertations written in English and published by accredited universities in the U.S. and Canada. A sample of 384 dissertations were analyzed by Turnitin plagiarism detection software. The mean similarity indices for pre-Internet and post-Internet eras were 14.5 and 12.3 %, respectively. A Mann Whitney U test indicated that the differences between groups was significant, however opposite than has been purported within the exigent literature. When comparing the counts of dissertations for each time era considering those with plagiarism versus those that had little/no evidence thereof, there was no statistically significant difference. The findings of this study suggest that the Internet may not be significantly impacting the prevalence of plagiarism in advanced levels of higher education. (shrink)

The current research literature has claimed that plagiarism is a significant problem in postsecondary education. Unfortunately, these claims are primarily supported by self-report data from students. In fact little research has been done to quantify the prevalence of plagiarism particularly at the advanced graduate education level. Further, few studies exist on online education even though this is a rapidly growing sector of higher education. This descriptive study quantified the amount of plagiarism that existed among 100 doctoral dissertations that were published (...) by institutions granting doctorate degrees through a primarily online format. The dissertations were submitted to Turnitin plagiarism detection software for analysis. The mean similarity index of these dissertations was 15.1 (SD = 13.02). The results were then categorized per previous research. Forty-six percent of the dissertations were classified as having a low level of plagiarism while 11 % had a medium level and 3 % had a high level. Further analysis revealed that 72 % of the dissertations had at least one case of improper paraphrasing and citation (verbatim text accompanied by a citation) and 46 % had verbatim text without any citation. The results of this study should encourage faculty, dissertation committee members, university administrators, and accrediting bodies to take action to help reduce the level of plagiarism among doctoral learners. Suggestions for future research include comparing online and brick-and-mortar dissertation plagiarism rates, a larger study to investigate plagiarism trend data, and surveys of faculty about how they address plagiarism and ethics during the dissertation process. (shrink)

As a retired professor, I join in the growing concerns among educators, and others, about plagiarism, especially now that AI tools like ChatGPT are so readily available. However, I feel more caution is needed, regarding temptations to rely on supposed automatic detection tools, like Turnitin, to solve the problems. Students can be unfairly accused if such tools are used unreflectingly. The Toronto Star's online version of this published Op Ed is available at the link shown below. The version attached (...) here is a pre-print, which also includes annotations for my references, which are not displayed in the published version. (shrink)

Algorithms, or rather algorithmic actions, are seen as problematic because they are inscrutable, automatic, and subsumed in the flow of daily practices. Yet, they are also seen to be playing an important role in organizing opportunities, enacting certain categories, and doing what David Lyon calls “social sorting.” Thus, there is a general concern that this increasingly prevalent mode of ordering and organizing should be governed more explicitly. Some have argued for more transparency and openness, others have argued for more democratic (...) or value-centered design of such actors. In this article, we argue that governing practices—of, and through algorithmic actors—are best understood in terms of what Foucault calls governmentality. Governmentality allows us to consider the performative nature of these governing practices. They allow us to show how practice becomes problematized, how calculative practices are enacted as technologies of governance, how such calculative practices produce domains of knowledge and expertise, and finally, how such domains of knowledge become internalized in order to enact self-governing subjects. In other words, it allows us to show the mutually constitutive nature of problems, domains of knowledge, and subjectivities enacted through governing practices. In order to demonstrate this, we present attempts to govern academic writing with a specific focus on the algorithmic action of Turnitin. (shrink)

Scholarship on faculty and student perceptions of plagiarism is plagued by a vast, scattered constellation of perspectives, context, and nuance. Cultural, disciplinary, and institutional subtitles, among others in how plagiarism is defined and perspectives about it tested obfuscate consensus about how students and faculty perceive and understand plagiarism and what can or should be done about those perspectives. However, there is clear consensus that understanding how students and faculty perceive plagiarism is foundational to mitigating and preventing plagiarism. This study takes (...) up the challenge of investigating its own institution’s student and faculty perspectives on plagiarism by testing whether students and instructors differentiate between different kinds or genres of plagiarism, and measuring differences in their perception of seriousness or severity of those genres. Using a device modified from the ‘plagiarism spectrum’ published by Turnitin®, the researchers implemented a campus-wide survey of faculty and student perceptions, and analyzed the data using two different methodologies to ensure results triangulation. This study demonstrates both students and faculty clearly differentiate between kinds of plagiarism, but not on their severity. This study demonstrates both students and faculty clearly differentiate the severity between kinds of plagiarism, but not on the specific rank or order of their severity. Further, this study’s novel methodology is demonstrated as valuable for use by other academic institutions to investigate and understand their cultures of plagiarism. (shrink)

Academic dishonesty presents in different forms, including fabrication of data, falsifying references, multiple submissions, collusion, and sabotage, with two forms haunting academia, namely plagiarism and contract cheating or ghost writing. These latter forms have received considerable attention and have been subjects for research. This interview-based study provides some further insight into the problem of ghost writing through presenting the attitudes, justifications and networking practices of some hired ‘ghost-writers’ from a developing country and discusses the depth of this emerging threat to (...) the academic community.Initially, through simple internet searches using specific keywords, an array of professional advertisements selling contract writing services were identified. Some of these promotional advertisements were found in Facebook® posts, and/or Twitter® feeds. The second part of this study presents a summary of findings from interviews of a group of ghost-writers including their background, attitude and justifications for setting up this new business. The study identifies several high calibre post-graduates who have come to understand the Western (European/north American/australian) ways of scientific writing and have produced a network of ‘consultancy’ services. Although the birth of their business was ad-hoc, they have established a good network and are now able to share projects and practices. Many of them offer services to home and foreign students with varied levels of customer focus. Some of them are even using Turnitin© software to identify text matching issues. This study suggests that these paper mills have widely been subscribed to by students. The article finally discusses wider issues arising from these interviews and proposes some ways of tackling this new threat to academia. (shrink)

A casual comment by a student alerted the authors to the existence and prevalence of Internet-based paraphrasing tools. A subsequent quick Google search highlighted the broad range and availability of online paraphrasing tools which offer free ‘services’ to paraphrase large sections of text ranging from sentences, paragraphs, whole articles, book chapters or previously written assignments. The ease of access to online paraphrasing tools provides the potential for students to submit work they have not directly written themselves, or in the case (...) of academics and other authors, to rewrite previously published materials to sidestep self-plagiarism. Students placing trust in online paraphrasing tools as an easy way of complying with the requirement for originality in submissions are at risk in terms of the quality of the output generated and possibly of not achieving the learning outcomes as they may not fully understand the information they have compiled. There are further risks relating to the legitimacy of the outputs in terms of academic integrity and plagiarism. The purpose of this paper is to highlight the existence, development, use and detection of use of Internet based paraphrasing tools. To demonstrate the dangers in using paraphrasing tools an experiment was conducted using some easily accessible Internet-based paraphrasing tools to process part of an existing publication. Two sites are compared to demonstrate the types of differences that exist in the quality of the output from certain paraphrasing algorithms, and the present poor performance of online originality checking services such as Turnitin® to identify and link material processed via machine based paraphrasing tools. The implications for student skills in paraphrasing, academic integrity and the clues to assist staff in identifying the use of online paraphrasing tools are discussed. (shrink)

Plagiarism is a prevalent form of academic dishonesty in the undergraduate instructional context. Although students engage in plagiarism with some frequency, instructors often do little to help students understand the significance of plagiarism or to create assignments that reduce its likelihood. This study reports survey, coding, and TurnItIn software results from an evaluation of an instructional activity designed to help students improve their understanding of plagiarism, the consequences of plagiarizing, strategies to help them engage in ethical writing, and key (...) citation elements. Results indicate students had a greater understanding of plagiarism, increased efficacy, and fewer instances of plagiarism as determined by TurnItIn plagiarism software after exposure to an instructional activity on plagiarism. Not surprisingly, when instructors prioritize academic honesty in their classrooms, train students on how to integrate others’ works, cite sources appropriately, and use plagiarism detection software, students are less likely to plagiarize. The discussion includes suggestions for instructors to help them create a plagiarism-free environment. (shrink)

This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI’s ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors identifying AI-generated content. These submissions were marked by 15 academic staff members alongside genuine student submissions. Although the AI detection tool identified 91% of the experimental submissions as containing AI-generated content, (...) only 54.8% of the content was identified as AI-generated, underscoring the challenges of detecting AI content when advanced prompting techniques are used. When academic staff members marked the experimental submissions, only 54.5% were reported to the academic misconduct process, emphasising the need for greater awareness of how the results of AI detectors may be interpreted. Similar performance in grades was obtained between student submissions and AI-generated content (AI mean grade: 52.3, Student mean grade: 54.4), showing the capabilities of AI tools in producing human-like responses in real-life assessment situations. Recommendations include adjusting the overall strategies for assessing university students in light of the availability of new Generative AI tools. This may include reducing the overall reliance on assessments where AI tools may be used to mimic human writing, or by using AI-inclusive assessments. Comprehensive training must be provided for both academic staff and students so that academic integrity may be preserved. (shrink)

Self-plagiarism requires clear definition within an environment that places integrity at the heart of the research enterprise. This paper explores the whole notion of self-plagiarism by academics and distinguishes between appropriate and inappropriate textual re-use in academic publications, while considering research on other forms of plagiarism such as student plagiarism. Based on the practical experience of the authors in identifying academics’ self-plagiarism using both electronic detection and manual analysis, a simple model is proposed for identifying self-plagiarism by academics.

Hugely facilitated by the Internet, plagiarism by students threatens educational quality and professional ethics worldwide. Plagiarism reduces learning and is correlated with increased fraud and inefficiency on the job, thus lessening competitiveness and hampering development.In this context, the present research examines 48 licenciatura theses and 102 masters theses from five of Mozambique’s largest universities. Of the 150 theses, 75% contained significant plagiarism (>100 word equivalents) and 39%, very much (>500 word equivalents). Significant plagiarism was detected in both licenciatura and masters (...) theses. By using both Turnitin and Urkund to identify potentially plagiarized passages, professionally verifying whether those passages contain plagiarism, and, if confirmed, counting the words involved, the study presents a new method for classifying the quantity and significance of plagiarism. The use of two text-similarity-recognition programs also improved the rate of detection and, in some theses, significantly increased the classification of the gravity of the plagiarism encountered.Based on a broad review of the literature, the article argues that, to combat wide-scale plagiarism, academic institutions need to cultivate a consensus among faculty and students about the definition and types of plagiarism, the appropriate penalties, and the paramount professional and economic need to nurture professional ethics. However, to achieve even partial success requires significant involvement by administrators, faculty, students and student leaders guided by a holistic strategy using technological, pedagogical, administrative and legal components to prevent and detect plagiarism and then reeducate or discipline students caught plagiarizing. (shrink)

Academic misconduct in all its various forms is a challenge for degree-granting institutions. Whilst text-based plagiarism can be detected using tools such as Turnitin™, Plagscan™ and Urkund™, contract cheating and collusion can be more difficult to detect, and even harder to prove, often falling to no more than a ‘balance of probabilities’ rather than fact. To further complicate the matter, some students will make deliberate attempts to obfuscate cheating behaviours by submitting work in Portable Document Format, in image form, (...) or by inserting hidden glyphs or using alternative character sets which text matching software does not always accurately detect.Educators do not tend to think of academic misconduct in terms of criminality per se, but the tools and techniques used by digital forensics experts in law enforcement can teach us much about how to investigate allegations of academic misconduct. The National Institute of Standards and Technology’s Glossary describes digital forensics as ‘the application of computer science and investigative procedures involving the examination of digital evidence - following proper search authority, chain of custody, validation with mathematics, use of validated tools, repeatability, reporting, and possibly expert testimony.’. These techniques are used in criminal investigations as a means to identify the perpetrator of, or accomplices to, a crime and their associated actions. They are sometimes used in cases relating to intellectual property to establish the legitimate ownership of a variety of objects, both written and graphical, as well as in fraud and forgery. Whilst there have been some research articles and case studies that demonstrate the use of digital forensics techniques to detect academic misconduct as proof of concept, there is no evidence of their actual deployment in an academic setting.This paper will examine some of the tools and techniques that are used in law enforcement and the digital forensics field with a view to determining whether they could be repurposed for use in an academic setting. These include methods widely used to determine if a file has been tampered with that could be repurposed to identify if an image is plagiarised; file extraction techniques for examining meta data, used in criminal cases to determine authorship of documents, and tools such as FTK™ and Autopsy™ which are used to forensically examine single files as well as entire hard drives. The paper will also present a prototype of a bespoke software tool that attempts to repurpose some of these techniques into an automated process for detecting plagiarism and / or contract cheating in Word documents.Finally, this article will discuss whether these tools have a place in an academic setting and whether their use in determining if a student’s work is truly their own is ethical. (shrink)

Plagiarism in higher education has become widespread among students in Vietnam. This paper aims to examine the seriousness of the problem by comparing the severity of plagiarism in two universities, one of which uses Turnitin software to check its student reports. For that purpose, 977 samples have been drawn from 1434 required graduation reports written by senior undergraduates in the economics and management field from 2013 to 2015. Turnitin’s “Similarity Index” was used to check for alleged plagiarism, which (...) was found to be more widespread at the university not using Turnitin. At that university, 91.7% of the graduation reports were defined as plagiarized, while 61.7% of the reports were plagiarized at the university using the software. The main source of this problem was the use of information from the internet without citing the original authors. (shrink)

The statistics on plagiarism are staggering. No wonder, then, that many colleges and universities have started using plagiarism detection services (PDSs) such as Turnitin. But there are problems—and more problems than most critics have recognized. Whereas critics typically focus on legal issues related to intellectual property and privacy rights, I argue that unless we can reasonably suspect academic dishonesty, it’s morally problematic to require submission through a PDS. Even if we insist that the benefits of PDS use are worth (...) the costs of saddling students with an undeserved burden of proof, blanket PDS use—that is, using PDSs across the boardand without reasonable suspicion—is problematic because it conflicts with one of the aims of educational institutions: to cultivate students’ characters. Although blanket PDS use may in fact deter plagiarism, it doesn’t create an environment conducive to the formation of honor, and it may even be a hindrance. (shrink)

This essay review connects Joe L. Kincheloe's Critical Constructivism on epistemological analysis to the conceptual and sociopolitical challenges of new media in educational contexts. New media is a domain of educational research that has taken ubiquitous directions in recent scholarship. From cyber-bullying to digital rights management to the development of new literacies and the Orwellian nature of plagiarism watchdog sites like Turnitin.com, teachers are wary of tapping new media resources or ?vehicles? to enhance their more traditional instructional strategies and (...) have little impetus to develop what may be called critical digital literacy skills for themselves or their students. In 12 efficacious points, Joe L. Kincheloe's Critical Constructivism: A Primer ushers readers through complex processes of teaching and learning, knowledge construction, and cognition, as well as necessary examinations of the social, historical, and cultural contexts in which the knower and known are situated. The key understandings of critical constructivism are further explored in this review by evaluating its pedagogical applications and possibilities for teachers and learners confronting the challenges of navigating the vehicles (Web sites, online gaming, any form of online community/social environment ad, use of personal digital communication devices, ad infinitum) of new media in and beyond the classroom for the purposes of gaining what may be termed as critical digital literacy. Kincheloe's primer offers teachers, students and researchers an accessible epistemological manual equipped with definitions of concepts and terms emboldened and spotlighted throughout the text, in addition to its convenient glossary compiled in the back of the text. At face value, teachers, preservice teachers, and teacher educators are provided with a practical heuristic for crossing the great divide from the abstract domains of pedagogical theory to the inviting shores of teacher and learner cognition and practice. (shrink)

Most research on student plagiarism defines the concept very narrowly or with much ambiguity. Many studies focus on plagiarism involving large swaths of text copied and pasted from unattributed sources, a type of plagiarism that the overwhelming majority of students seem to have little trouble identifying. Other studies rely on ambiguous definitions, assuming students understand what the term means and requesting that they self-report how well they understand the concept. This study attempts to avoid these problems by examining student perceptions (...) of more complex citation issues. We presented 240 students with a series of examples, asked them to indicate whether or not each should be considered plagiarism, and followed up with a series of demographic and attitudinal questions. The examples fell within the spectrum of inadequate citation, patchwriting, and the reuse of other people’s ideas. Half were excerpted from publicized cases of academic plagiarism, and half were modified from other sources. Our findings indicated that students shared a very strong agreement that near verbatim copy and paste and patchwriting should be considered plagiarism, but that they were much more conflicted regarding the reuse of ideas. Additionally, this study found significant correlation between self-reported confidence in their understanding and the identification of more complex cases as plagiarism, but this study found little correlation between academic class status or exposure to plagiarism detection software and perceptions of plagiarism. The latter finding goes against a prevailing sentiment in the academic literature that the ability to recognize plagiarism is inherently linked to academic literacy. Overall, our findings indicate that more pedagogical emphasis may need to be placed on complex forms of plagiarism. (shrink)