scholarly journals A UK institution's university-wide approach to plagiarism:

2006 ◽  
Vol 2 (1) ◽  
Author(s):  
Christina Mainka ◽  
Scott Raeburn ◽  
Shirley Earl
Keyword(s):  
Role Model ◽  
Action Plan ◽  
Good Practice ◽  
Student Support ◽  
Academic Misconduct ◽  
Plagiarism Detection ◽  
Record Keeping ◽  
Support Materials ◽  
Detection Software ◽  
The University

Research and consultations in session 2003/2004 by a University's Plagiarism Working Group uncovered a poor understanding of plagiarism and inconsistent handling procedures throughout its schools. In an effort to address both these issues, a strategic 2-year Action Plan was developed and rolled out beginning the following academic year in order to improve student support, staff awareness and more consistent practice overall. The plan included a pilot using the detection software service, Turnitin'UK, with five of the University's 14 schools. The pilot was only one of a series of university-wide deliberations, others included the revision and piloting of a University Plagiarism Code of Practice, implementation of school-based academic conduct officers, improved staff development opportunities and student support materials and events. One school in the University has served as a role model of good practice throughout. Noteworthy is the school's record keeping practice since session 2001/02 of incidences of plagiarism and other academic misconduct. In the paper we present the factors such as gender, nationality and level of study that have been found linked to the incidences of plagiarism in the school. Additionally, the role plagiarism detection software plays in addressing plagiarism is explored within the collaborative and holistic approach of the Action Plan. Finally, the challenges and resistance faced by key players throughout the implementation of the first phase of the Action Plan at the University are considered and the commitment to continuous enhancement recognised.

Academic Misconduct and the Internet

2017 ◽  
pp. 82-111 ◽  
Author(s):  
David Ison
Keyword(s):  
Best Practices ◽  
Empirical Studies ◽  
Negative Influence ◽  
Academic Misconduct ◽  
Study Data ◽  
Future Research ◽  
The Internet ◽  
Plagiarism Detection ◽  
Subsequent Section ◽  
Detection Software

This chapter provides a general background on the problem of plagiarism, how the Internet has been implicated as a negative influence on Academic Integrity (AI), empirical study data on the influences of the Internet on plagiarism, reasons why students may conduct plagiarism, and best practices in the use of plagiarism detection. Within the first section, three empirical studies are highlighted to indicate the actual occurrence of plagiarism in graduate education and the role the Internet may play in influencing AI. In the second section, a description of both how and why students conduct plagiarism is presented. Existing literature on the topic is explored to better inform stakeholders on the ‘why' component with suggestions for potential mitigating solutions. The subsequent section describes plagiarism detection software that is commonly in use across the globe including best practices on how to interpret detection results. Lastly, recommendations and calls for future research are provided.

scholarly journals Punishment or Policy Change: A Case of Plagiarism in a Dissertation

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Patricia Deubel
Keyword(s):  
Academic Integrity ◽  
Doctoral Degree ◽  
Academic Misconduct ◽  
Legal Issues ◽  
Prevention Strategies ◽  
Plagiarism Detection ◽  
Manual Analysis ◽  
The University ◽  
Dissertation Committee

This article examines a case of plagiarism in a dissertation, which was found after the doctoral degree had been awarded. Plagiarism detection is discussed in relation to the methodology, which included manual analysis, Google searches, and originality reports from Turnitin. Questions on the role of the dissertation committee, processes used to complete the dissertation, and consequences of plagiarism are addressed, as well as factors influencing a decision to report the case. Procedures for reporting plagiarism allegations and those the university used to investigate are included. Because this case illustrates that revoking a degree is not necessarily a sanction when plagiarism is proven, the article delves into legal issues surrounding policies for adjudicating allegations of academic misconduct and revoking degrees. Plagiarism prevention strategies are provided to illustrate the joint responsibility of a university, faculty, and students to prevent cases such as this one from ever happening. Universities are prompted to examine and uphold existing academic integrity and plagiarism policies and to develop appropriate policies for dealing with plagiarism if they do not exist.

scholarly journals Using Turnitin as a formative writing tool.

2010 ◽  
Author(s):  
Judy Cohen
Keyword(s):  
Academic Writing ◽  
Writing Skills ◽  
Actual Process ◽  
Plagiarism Detection ◽  
Web Resources ◽  
Detection Software ◽  
The University ◽  
Academic Year

Turnitin plagiarism detection software became available to all staff at the University of Kent the beginning of the 2006/7 academic year. In response to this, UELT prepared guidelines for staff on how to use Turnitin formatively rather than as a plagiarism policing agent. In addition, extensive web resources on avoiding plagiarism were made available to staff and students. It was anticipated that the guidelines and web resources coupled with tutor support in class would facilitate student understandings of plagiarism, referencing and the development of writing skills. Turnitin was specifically trialled in two classes of students, with interviews of staff and students on their experience of Turnitin and how it influenced their academic writing. Staff concluded that Turnitin and specific in-class support significantly deterred plagiarism while students supported the use of Turnitin and felt that it helped them understand the actual process of integrating references into their own work.

scholarly journals Comparative study on the usage of an online plagiarism detection service when presenting distance learning courses

2013 ◽  
Vol 8 (1) ◽  
pp. 23-31
Author(s):  
Loo Choo Hong ◽  
Tung Lai Cheng
Keyword(s):  
Similarity Index ◽  
Course Delivery ◽  
The Other ◽  
The Internet ◽  
Plagiarism Detection ◽  
Writing Assignments ◽  
Organisational Behaviour ◽  
Detection Software ◽  
High Level ◽  
The University

The Internet opens a library of wealth to the student and educator but it also makes it easy for students to copy when writing assignments. In this paper, we will look at how Wawasan Open University implemented plagiarism-detection software in its course delivery. In 2010, the university introduced the compulsory usage of an online plagiarism-detection software known as Turnitin (Turnitin TM). Students are required to scan their assignments using the service before submitting them for grading. In this study, we observed two different course clusters; one cluster is numerically-based and the other is narrative-based. We observed the Similarity Index Report on student assignments from four courses in two programmes from the 2011 cohort. The courses are Business Accounting II, Auditing and Assurance in Malaysia, Human Resource Management, and Organisational Behaviour. Our findings suggested that plagiarism detection software can be useful for courses that require a studentto demonstrate a strong sense of originality in their assignments. Essentially, the software would provide additional advantages in any narrative management course where it is the intention of the instructor to ensure that students demonstrate a high level of creativity. However, courses that require students to conform to any regimen should not be subjected to the anti-plagiarism process as this is futile, as in the case of many numerical and mathematical courses. Courses that require a high level of verbatim citation such as law, assurance, literature and divinity would not work very well with the software. The inability of current software to differentiate between patterns and strings of plagiarism and cited work makes this exercise futile.

scholarly journals Ethical ambiguity in the academic periphery: Global versus local science in explaining plagiarism

2021 ◽  
Author(s):  
Katerina Guba ◽  
Angelika Tsivinskaya
Keyword(s):  
Academic Discipline ◽  
Empirical Studies ◽  
Academic Misconduct ◽  
Lower Percentage ◽  
Plagiarism Detection ◽  
The Past ◽  
Research Fields ◽  
Average Share ◽  
Detection Software ◽  
Doctoral Dissertations

The past decade has seen extensive research carried out on the systematic causes of academic misconduct. Simultaneously, less attention has been paid to the variation in academic pathologies between research fields, as most empirical studies focus on one particular discipline. We propose that academic discipline is one of several systematic factors that might contribute to academic misbehavior. Drawing on a neo-institutional approach, we argue that on the academic periphery, the norm of textual originality has not drawn equal support across different research fields depending on its level of internationalization. Using plagiarism detection software, we analyzed 2,405 doctoral dissertations randomly selected from all dissertations defended in Russia between 2006 and 2016. We measured the globalization of each academic discipline by calculating the share of publications indexed in the global citation database in relation to overall output. Our results showed that, with an average share of detected borrowings of over 19%, the incidence of plagiarism on the academic periphery is remarkably higher than in Western countries. Overall, disciplines closely follow the pattern of higher globalization associated with a lower percentage of borrowed text. We also found that unauthorized borrowing is less prevalent at research-oriented institutions supporting global ethical standards. Our findings suggest that it might be misleading to measure the prevalence of academic misconduct on the academic periphery without paying attention to variations at the disciplinary level.

scholarly journals Effectiveness of Coaching Interventions using Grammarly Software and Plagiarism Detection Software in Reducing Grammatical Errors and Plagiarism of Undergraduate Researches

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Genaro V. Japos
Keyword(s):  
Academic Integrity ◽  
Academic Discipline ◽  
Pearson Correlation ◽  
Writing Style ◽  
Plagiarism Detection ◽  
Grammatical Errors ◽  
Student Researchers ◽  
Detection Software ◽  
Keywords Education ◽  
The University

Grammar checker and plagiarism software are indispensable tools in aiding researchers to identify and correct their mistakes. The study examined the errors detected by grammarly software and plagiarism software and how these were reduced due to coaching interventions. The study used the descriptive and inferential research design involving 47 specimens of student research as undergraduate theses written as publishable paper. These papers were intended for the Advancing Research Journals by academic discipline available online, cross referenced and indexed.  The study involved a statistical analysis of data derived from software reports tested through the use of t-test and Pearson correlation. The results showed significant reductions in the occurrence of the grammar errors indicating that the coaching interventions were effective. There is also an inverse, moderate and significant correlation between occurrence of grammatical score and plagiarism. The study concludes that those who commit higher incidents of plagiarism also have lower commission of grammatical errors. When students are poor in writing style and vocabulary use, their score for originality increases.  The study recommends for adoption of academic integrity policies to curb grammar and plagiarism occurrences among student researchers in the university. Keywords: Education, Grammar checker, plagiarism detector accumulator, plagiarism detection, coaching, descriptive design, Cagayan de Oro City, Philippines

Academic Misconduct and the Internet

2019 ◽  
pp. 22-51
Author(s):  
David Ison
Keyword(s):  
Best Practices ◽  
Empirical Studies ◽  
Negative Influence ◽  
Academic Misconduct ◽  
Study Data ◽  
Future Research ◽  
The Internet ◽  
Plagiarism Detection ◽  
Subsequent Section ◽  
Detection Software

This chapter provides a general background on the problem of plagiarism, how the Internet has been implicated as a negative influence on Academic Integrity (AI), empirical study data on the influences of the Internet on plagiarism, reasons why students may conduct plagiarism, and best practices in the use of plagiarism detection. Within the first section, three empirical studies are highlighted to indicate the actual occurrence of plagiarism in graduate education and the role the Internet may play in influencing AI. In the second section, a description of both how and why students conduct plagiarism is presented. Existing literature on the topic is explored to better inform stakeholders on the ‘why' component with suggestions for potential mitigating solutions. The subsequent section describes plagiarism detection software that is commonly in use across the globe including best practices on how to interpret detection results. Lastly, recommendations and calls for future research are provided.

scholarly journals Student and staff perceptions of the effectiveness of plagiarism detection software

2008 ◽  
Vol 24 (2) ◽  
Author(s):  
Doug Atkinson ◽  
Sue Yeoh
Keyword(s):  
Business School ◽  
Academic Misconduct ◽  
Teaching Staff ◽  
Survey Questionnaire ◽  
Research Model ◽  
Plagiarism Detection ◽  
Staff Perceptions ◽  
Mixed Methods Approach ◽  
University Of Technology ◽  
Detection Software

<span>The aim of this research was to determine student and staff perceptions of the effectiveness of plagiarism detection software. A mixed methods approach was undertaken, using a research model adapted from the literature. Eight hours of interviews were conducted with six students and six teaching staff from Curtin Business School at Curtin University of Technology, which had trialled the plagiarism detection software, </span><em>EVE2</em><span>. A survey questionnaire was completed by 171 students involved in the trial. The summary indication was that students perceived that plagiarism is an important issue; detection software makes it easier for lecturers; it is fair to use detection software; students support its use; and it will have some effect in preventing plagiarism. However, students' concerns included being caught for unintentional plagiarism, teaching staff placing too much emphasis on detection results above student ability, and the accuracy of the software at detecting plagiarism. Concerns for teaching staff included the time taken for the detection process, limitation of the software to publicly based Internet sources and direct copying, and the extra workload involved with pursuing academic misconduct.</span>

Teaching Computer Based Historical Data Analysis

1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris
Keyword(s):  
Data Analysis ◽  
Social History ◽  
Historical Data ◽  
Good Practice ◽  
Computer Assisted ◽  
Historical Data Analysis ◽  
University Of Edinburgh ◽  
Computer Based ◽  
The University

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.

Social Responsibility Practice Diagnosis applied to the Universidad del Valle- Northern Facility. Period 2014-2015

2018 ◽  
Vol 34 (62) ◽  
pp. 66-81
Author(s):  
Adriana M. Moreno Moreno ◽  
Eduar Fernando Aguirre González
Keyword(s):  
Social Responsibility ◽  
Action Plan ◽  
Research Problem ◽  
Socially Responsible ◽  
Strategic Development ◽  
Strategic Issues ◽  
The North ◽  
The Social ◽  
The University ◽  
Social Management

Social Responsibility is a concept that has been approached from different perspectives by theoreticians and institutions. Initially, this was limited exclusively to companies, however, the creation of the Social Capital, Ethics and Development Initiative by the Inter-American Development Bank (IDB) sought to make educational institutions aware that, like any other organization, they are responsible for the externalities they generate in their environment and their stakeholders. This research approaches the concept of University Social Responsibility (USR) from the scheme proposed by the IDB, which proposes four axes of action for Universities’ CR: Responsible Campus, Professional and Citizen Training, Social Management of Knowledge and Social Participation. The Universidad del Valle has a strategic plan entitled “Universidad del Valle’s Strategic Development Plan” and Regionalization attached thereto. It has also developed its action plan and in the five strategic issues raised herein, its socially responsible approach is clearly identifiable. The North Cauca Facility wherein this study is being developed, even though it does not have a University Social Responsibility Management Model, has attempted to align its practices with its strategic affairs that broadly conform to the four axes proposed by the IDB. This research addresses a relevant and current issue inasmuch as it proposes to develop a diagnosis on the relationship between the four axes of Social Responsibility proposed by the IDB and the practice of Social Responsibility applied at the Universidad del Valle, North Cauca Facility, for the period 2014-2015. In order to answer the research problem, a qualitative, exploratory and descriptive type of study is used, given that the work was based on the documentary information available at the University, while the interviews with the directors of the Institution are used as a tool for oral history. The research method used is the case study, which allows to address a unit of analysis in depth, in this case the USR within the Universidad del Valle, North Cauca Facility.

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