Dirigido a: Docentes que dictan cursos donde se elaboran trabajos de investigación o tesis (Pregrado y EPE). Docentes de maestrías y diplomados. / Aprende a programar una actividad de Turnitin teniendo en cuenta los criterios de filtros que inciden en el porcentaje de similitud y las opciones que permiten a los estudiantes obtener sus reportes de forma inmediata.

Realizado el 11 de abril de 2022. Lima, Perú. / Charla realizada a los docentes de la faculta de comunicaciones donde se mostró cómo crear una actividad de Turnitin en el Aula Virtual.

Magister Artium - MA / Globally there is growing concern around increased levels of plagiarism. Gullifer and Tyson (2010, p. 463) claim that plagiarism is growing at a rapid rate, and universities are now required to devote enough time and resources to combating it. South African universities have also found themselves to be victims of plagiarism. To prevent increased levels of plagiarism in South Africa, Stellenbosch University (SU) promotes the use of Turnitin. The study described in this thesis investigated postgraduate students’ and lecturer’s perceptions and attitudes regarding plagiarism and interacting with Turnitin at the University of Stellenbosch Business School to fill a research gap, as up to this point, this topic has not been studied. The study adopted a mixed methods approach, which combined both quantitative and qualitative methods. Moreover, the theory of planned behaviour informed the study. The results show that a majority of the students and lecturers in the study were aware of plagiarism and anti-plagiarism software, particularly Turnitin. However, the majority of students still plagiarised intentionally, owing to factors that influenced their intention to plagiarise, such as laziness and poor time management, and unintentionally, owing to poor language, writing and referencing skills. The majority of students (98%) agreed that they made use of anti-plagiarism software. Moreover, 80% of the students indicated that the use of antiplagiarism software contributed to the promotion of academic integrity. Similarly, all lecturers interviewed indicated that anti-plagiarism software helped to promote and improve academic integrity.

Masters of Art / Globally there is growing concern around increased levels of plagiarism. Gullifer and Tyson (2010, p. 463) claim that plagiarism is growing at a rapid rate, and universities are now required to devote enough time and resources to combating it. South African universities have also found themselves to be victims of plagiarism. To prevent increased levels of plagiarism in South Africa, Stellenbosch University (SU) promotes the use of Turnitin. The study described in this thesis investigated postgraduate students’ and lecturer’s perceptions and attitudes regarding plagiarism and interacting with Turnitin at the University of Stellenbosch Business School to fill a research gap, as up to this point, this topic has not been studied. The study adopted a mixed methods approach, which combined both quantitative and qualitative methods. Moreover, the theory of planned behaviour informed the study.

The researcher of this quasi-experimental 2 x 2 factorial design study investigated the impact of an academic integrity module and Turnitin on undergraduate student similarity index scores. Similarity index scores were used to measure suggested plagiarism rates of student papers. The purposive sample was made up of 96 undergraduate education students enrolled in four sections of the same course in a Southeastern university. One main factor was submitting assignments through Turnitin, with two levels: yes or no. The second factor was completing the academic integrity module, with two levels: yes or no. The four intact groups were randomly assigned to the main factors. Although the findings from this study indicated that neither main factor nor their interaction were statistically significant at the .05 alpha level, the mean similarity index score of participants who submitted their paper through Turnitin was lower than the mean similarity index score of participants who did not submit their papers through Turnitin. Similarly, the mean similarity index score of participants who completed the academic integrity module was lower than the mean similarity index score of participants who did not complete the academic integrity module. Although not at the statistically significant level, the plagiarism rate as measured by the mean similarity index score of the group of participants who completed the academic integrity module and submitted papers through Turnitin was the lowest followed by the group of participants that completed the academic integrity module but did not submit papers through Turnitin, then the group of participants that did not complete the academic integrity module and did not submit papers through Turnitin. The group of participants who did not complete the academic integrity module but submitted papers through Turnitin had the highest mean similar index score suggesting a higher plagiarism rate as compared to the other groups. Finally, the researcher acknowledged the limitations of this study and made recommendations for future consideration. Other variables such as gender, demographics, major, and credit hours completed could be investigated. Replication of the study is recommended. Also, a qualitative approach could enhance future studies.

The criminal justice program in a community college located in the southwestern United States had experienced an increase in student plagiarism. However, the current teaching practices of criminal justice instructors to prevent and manage the increased student plagiarism have not been effective. The purpose of this study was to explore criminal justice college instructors' experiences, perceptions, and teaching strategies related to undergraduate student plagiarism using Goleman's emotional intelligence theory and Daloz's mentoring theory. Employing a qualitative instrumental case study design, data were collected through semistructured interviews with 10 criminal justice college instructors. Member checking and reflective journaling ensured accuracy and credibility with initial findings from the interview data. The interview data were coded and analyzed using matrix and thematic analysis. Findings revealed 6 categories: professional development, instructor-student relationships, Turnitin reports, policy enforcement, instructor discretion, and mentoring students. To address the findings, a department plagiarism policy was proposed through a position paper to key stakeholders at the community college. The implementation of the department plagiarism policy has the possibility to create positive social change by promoting ethical writing standards and providing support for students' future academic success.

Turnitin plagiarism-detection software was operating as a pilot program conducted by the Center for Teaching and Learning in Winter 2007 on the Brigham Young University (BYU) campus. A sample of 6 instructors and 79 student users participated in this evaluation. The evaluation findings show that Turnitin is compatible with the academic honesty environment created by BYU's Honor Code. Turnitin has been effective at detecting intentional and inadvertent plagiarism at BYU. It has also addressed the problem of multiple submissions of the same material. Recommendations are made for promoting Turnitin at the campus and department level. Training tools are proposed for instructors: a FAQ page, an online tutorial, and a set of guidelines for introducing Turnitin to a class.

This empirical exploratory study quantitatively analyzed content similarity indices (potential plagiarism) from a corpus consisting of 360 dissertations and 360 published articles. The population was defined using the filtering search criteria human resource development, training and development, organizational development, career development, or HRD. This study described in detail the process of collecting content similarity analysis (CSA) metadata using Turnitin software (www.turnitin.com). This researcher conducted robust descriptive statistics, a Wilcoxon signed-rank statistic between the similarity indices before and after false positives were excluded, and a multinomial logistic regression analysis to predict levels of plagiarism for the dissertations and the published articles. The corpus of dissertations had an adjusted rate of document similarity (potential plagiarism) of M = 9%, (SD = 6%) with 88.1% of the dissertations in the low level of plagiarism, 9.7% in the high and 2.2% in the excessive group. The corpus of published articles had an adjusted rate of document similarity (potential plagiarism) of M = 11%, (SD = 10%) with 79.2% of the published articles in the low level of plagiarism, 12.8% in the high and 8.1% in the excessive group. Most of the difference between the dissertations and published articles were attributed to plagiarism-of-self issues which were absent in the dissertations. Statistics were also conducted which returned a statistically significant justification for employing the investigative process of removing false positives, thereby adjusting the Turnitin results. This study also found two independent variables (reference and word counts) that predicted dissertation membership in the high (.15-.24) and excessive level (.25-1.00) of plagiarism and published article membership in the excessive level (.25-1.00) of plagiarism. I used multinomial logistic regression to establish the optimal prediction model. The multinomial logistic regression results for the dissertations returned a Nagelkerke pseudo R2 of .169 and for the published articles a Nagelkerke pseudo R2 .095.