Maintaining high levels of academic integrity in nursing programs is critical to student success and the transition to professional practice. Integrity encompasses the values of trustworthiness and honesty. Nursing faculty need to determine if they are providing students with the resources and communication needed to maintain a culture of integrity. It is important for faculty to determine if students tend to rationalize or neutralize the psychological effects of dishonest behaviors. Finally, it is important to determine methods to eliminate violations of academic integrity in nursing education. The overall design of the dissertation provides three distinct articles designed to stand alone as potential articles for publication. This dissertation is a part of a larger collaborative effort with two other Teachers College Doctoral students. The methods and procedures are the same for all principal investigators. Chapters I through III and Chapter V are all uniquely my own. Chapter IV represents the collaborative effort presented in this dissertation. In a cross-sectional, quantitative study design, McCabe’s Academic Integrity Survey- Modified for Nursing Students (MAIS-MNS), a Knowledge Assessment of Academic Integrity, and a Demographics Questionnaire were completed by 442 pre-licensure nursing students. In the individual portion of this study, the relationships between perceived faculty support of academic integrity policies; perceived faculty response to cheating; neutralization; and age are examined to determine if relationships exist between the variables. Additionally, in the collaborative chapter, the variables of severity and perceived faculty support of academic integrity policies were compared to the willingness to report peer violations and program-wide strategies to improve a culture of integrity. Data were analyzed using IBM SPSS Statistics version 27 (IBM Inc., Armonk, NY, USA). Results indicated students who have higher perceived faculty support of academic integrity policies are less likely to rationalize academically dishonest behaviors. It was also found that younger students were more likely to rationalize dishonest behaviors. It is also important to consider from which source students are receiving academic integrity information. Course syllabi, first-year orientation, program counselors, faculty, deans and other administrators, and other students were all found to be significant predictors related to student perception of faculty support of academic integrity policies. Students who have higher perceptions of severity scores and higher perceptions of faculty support of academic integrity policies scores were found to be more willing to report peers. Additionally, having program-wide interventions, such as an honor code, could help strengthen the overall culture of integrity. Frequent communication and consistent academic integrity policies are vital for faculty to maintain throughout nursing programs Faculty should remain vigilant to changing trends in how students violate academic integrity violations and provide consistent messages.

Frequent military deployments have been associated with relationship issues for active-duty members, such as marital conflict and infidelity. Previous research has indicated that attachment, communication, and mental health are associated with military marriages’ stability during deployment. However, there remains an important gap in the current literature on military marriages regarding perceptions of infidelity (emotional and sexual). Proponents of attachment theory postulate that early attachment experiences facilitate the development of self-perception as well as perceptions of others. From this perspective, the attachment of military spouses is associated with their perceptions of their active-duty spouses engaging in infidelity. The purpose of this quantitative study was to examine the relationship between attachment, as measured by the Adult Attachment Scale, and infidelity perceptions, as measured by the Infidelity Expectations Questionnaire, for military spouses during their active-duty members’ deployment. A sample of 178 military spouses was recruited through social media platforms to complete surveys. Correlation analysis and multiple linear regression were conducted to identify the association and strength between attachment scores and infidelity perceptions. Findings indicate that proximity was a challenge due to deployment, during which spouses were continuously faced with communication challenges and feeling detached from the active-duty member. This contribution to existing literature may enhance social-change initiatives by informing education for military couples, providing a basis for attachment and infidelity-related training.

abstract: Plagiarism is a huge problem in a learning environment. In programming classes especially, plagiarism can be hard to detect as source codes' appearance can be easily modified without changing the intent through simple formatting changes or refactoring. There are a number of plagiarism detection tools that attempt to encode knowledge about the programming languages they support in order to better detect obscured duplicates. Many such tools do not support a large number of languages because doing so requires too much code and therefore too much maintenance. It is also difficult to add support for new languages because each language is vastly different syntactically. Tools that are more extensible often do so by reducing the features of a language that are encoded and end up closer to text comparison tools than structurally-aware program analysis tools. Kitsune attempts to remedy these issues by tying itself to Antlr, a pre-existing language recognition tool with over 200 currently supported languages. In addition, it provides an interface through which generic manipulations can be applied to the parse tree generated by Antlr. As Kitsune relies on language-agnostic structure modifications, it can be adapted with minimal effort to provide plagiarism detection for new languages. Kitsune has been evaluated for 10 of the languages in the Antlr grammar repository with success and could easily be extended to support all of the grammars currently developed by Antlr or future grammars which are developed as new languages are written. / Dissertation/Thesis / Masters Thesis Software Engineering 2020

This diploma thesis examines the Chinese market of fraudulent seminar works and final theses. It studies the motivation, reasons, kinds and origins of contract cheating. The theoretical part defines the concept of contract cheating and specifies the most important findings of this topic. The practical part consists of the questionnaire survey, individual interviews and correlation analysis of selected variables.

This diploma thesis provides an insight on fraudulent behaviour of university students in an international context that is often lacking in literature. Based on data obtained from Global Essay Mills Survey which was spread across Europe, Australasia and Americas, a rate of cheating in 14 selected countries is identified, and a relationship between this rate and selected economic indicators is examined. Particular attention is paid to contract cheating and essay mills services which are becoming a world-wide issue. As a result of this thesis, not only compa-rison of student behaviour in selected countries has been made, but also recommendation on how to reduce the unethical behaviour at universities.

Academic integrity, while important for all students, is especially so for those enrolled in nursing programs. Nurses are entrusted by the public to care for those in need from birth through death. A nursing student who graduates through dishonest means jeopardizes the safety of patients in their care. Nursing faculty need to understand the scope of academic integrity violations and develop meaningful, targeted interventions to show students the harm their actions could cause. The purpose of this dissertation is to explore undergraduate nursing students’ knowledge and perceptions of academic integrity and to specifically look at their willingness to report peer violations. This dissertation study was a collaborative effort among three doctoral students. Using a research team-modified version of McCabe’s Academic Integrity Survey as well as a research team-created Knowledge Assessment, 442 nursing students were surveyed. Results confirm a hesitation to report peers for violations of academic integrity. Students’ ability to neutralize their behaviors as harmless, their desire to remain loyal to their peers, and age act as positive predictive variables for willingness to report peer violations. Additionally, participants’ perceptions of the severity of various offenses and their perceptions of their faculty’s support for academic integrity policies are positively correlated with willingness to report peer violations. Program improvement strategies, such as implementing an honor code, were supported by participants and may help foster a culture of academic integrity that promotes peer reporting. Lastly, a targeted intervention designed for nursing students to promote academic integrity and peer reporting is explored.

Den här studien undersöker möjligheten att använda sig utav Human Activity Recognition (HAR) i ett mobilspel, Bamblup, som använder sig utav fysiska rörelser för att upptäcka om en spelare fuskar eller om denne verkligen utför den verkliga aktiviteten. Sensordata från en accelerometer och ett gyroskop i en iPhone 7 användes för att samla data från olika människor som utförde ett antal aktiviteter utav intresse. Aktiviteterna som är utav intresse är hopp, knäböj, stampa och deras fuskmotsvarigheter, fuskhopp, fuskknäböj och fuskstampa. En sekventiell modell skapades med hjälp av det öppna programvarubiblioteket, TensorFlow. Feature Selection gjordes i programmet WEKA (Waikato Environment for Knowledge Analysis), för att välja ut attributen som var mest relevanta för klassificeringen. Dessa attribut användes för att träna modellen i TensorFlow, vilken gav en klassificeringsprecision på 66%. Fuskaktiviteterna klassificerades relativt bra, och det gjorde även stampaktiviteten. Hopp och knäböj hade lägst klassificeringsprecision med 21.43% respektive 28.57%. Dessutom testades Random Forest klassificeraren i WEKA på vårt dataset med 10-delad korsvalidering, vilket gav en klassifieringsnoggranhet på 90.47%. Våra resultat tyder på att maskininlärning är en stark kandidat för att hjälpa till att identifiera fuskbeteenden inom fysisk aktivitetsbaserade mobilspel. / This study investigates the possibility to use machine learning for Human Activity Recognition (HAR) in Bamblup, a physical activity-based game for smartphones, in order to detect whether a player is cheating or is indeed performing the required activity. Sensor data from an accelerometer and a gyroscope from an iPhone 7 was used to gather data from various people performing a set of activities. The activities of interest are jumping, squatting, stomping, and their cheating counterparts, fake jumping, fake squatting, and fake stomping. A Sequential model was created using the free open-source library TensorFlow. Feature Selection was performed using the program WEKA (Waikato Environment for Knowledge Analysis), to select the attributes which provided the most information gain. These attributes were subsequently used to train the model in TensorFlow, which gave a classification accuracy of 66%. The fake activities were classified relatively well, and so was the stomping activity. Jumping and squatting had the lowest accuracy of 21.43% and 28.57% respectively. Additionally, the Random Forest classifier in WEKA was tested on the dataset using 10-fold cross validation, providing a classification accuracy of 90.47%. Our findings imply that machine learning is a strong candidate for aiding in the detection of cheating behaviours in mobile physical activity-based games.

In this thesis, four different methods for secret sharing with threshold schemes will be investigated. We will discuss theory, implementation and security aspects. For example, we show how some known attacks are implemented.The methods considered in this thesis, are the schemes by Shamir, Blakley, Mignotte and Asmuth-Bloom.

A review of literature documents that higher education faculty are likely to be the target of student harassment. A scenario in which a person of lesser power in an organization harasses a person of greater power is known as contrapower harassment. Students' acts of harassment range from mild incivilities to aggressive and threatening behaviors. The purpose of this quantitative web-based survey study is to document (a) the prevalence of contrapower harassment in a sample of U.S. pharmacy school faculty (n = 110), a previously unstudied population, (b) gender differences in faculty experiences of contrapower harassment, (c) faculty characteristics which may predict harassment, and (d) differences in the level of contrapower harassment associated with accusing a student of academic dishonesty. It was proposed that contrapower harassment is the result of the college environment in which the student is treated as an entitled consumer. Critical systems, emancipatory, and organizational theories were used to help understand the environment that fosters faculty harassment. Analysis of quantitative data employed MANOVA, chi-square, and multiple linear regression. Results confirmed 94% of pharmacy faculty have experienced at least one of the harassing behaviors. Males reported greater levels of incivility and females experienced greater distress from sexual attention. The act of confronting a student for academic dishonesty increased student harassment including incivility, bullying, and sexual attention. Positive social change may result from identifying the prevalence of contrapower harassment in pharmacy schools, leading to changes in the university environment that foster student harassment of faculty.

Cheating in Online Classes: A Preliminary Investigation, Mirella Baker Bemmel, 2014: Applied Dissertation, Nova Southeastern University, Abraham S. Fischler School of Education. ERIC Descriptors: Cheating, Online, Academic Integrity, Community College, Safeguards This applied dissertation was an inquiry into the phenomenon of cheating among students who take their classes online. There is a common perception that cheating is rampant in online classes and the Southern Association of Colleges and Schools, the accreditation association in the South, implemented policies, which mandate stricter monitoring of students. In turn, colleges have reevaluated or implemented integrity policies, but there is inconsistent enforcement of said policies. Online faculty at three Florida community colleges were invited to complete a modified version of the Academic Integrity Survey, which provided insights into their perception of cheating, their awareness and enforcement of institutional policies regarding cheating and safeguards used or desired. The survey was followed up with an eight-member focus group discussion, and the results were triangulated. An analysis of the data revealed that faculty is uncertain about the extent of cheating at their college, but most take action once they discover an instance of cheating. Their reaction to cheating may not necessarily be in line with the institutional policy although they are aware of the required steps. Different safeguards are used to protect the integrity of their courses, but there is an apparent lack of knowledge about available safeguards and their use.