The growing significance of social media in research demands new ethical standards and practices. Although a substantial body of literature on social media ethics exists, studies on the ethics of conducting research using social media are scarce. The emergence of new evidence sources, like social media, requires innovative methods and renewed consideration of research ethics. Therefore, we pose the following question: What are the defining characteristics of ethics papers on social media research? Following a modified version of the Preferred Reporting (...) Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, we analyzed 34 publications based on ten variables: author gender, publication year, region, academic discipline, type, design, methodology, social media platform in focus, positionality statement, and ethical issues. Our findings suggest contemporary social media research ethics primarily reflects the ethical ideals of the Global North, with limited representation from the Global South. Women authors have published more papers than men authors. Previous studies have prioritized ethical concerns such as privacy, informed consent, and anonymity while overlooking researchers’ risks and the ethics of social media sites. We particularly emphasized the lack of researchers’ positionality statements in research. Our findings will pave the way to understanding social media ethics better, especially with the rapid growth of social media research in global scholarship. (shrink)

Animals are frequently utilized as a teaching-learning tool in multiple educational settings. It is, therefore, important to understand what students think about this topic, in particular medical and veterinary students as “life caregivers” and competent people for a dynamic and responsible social intervention. In this context, this research aims to characterize and disseminate a set of issues related to animal welfare/wellbeing in higher education in the North of Portugal, particularly as regards the teaching of students of the Integrated Master in (...) Medicine (MIM) and Veterinary Medicine (MIMV). After ethical approval, a survey was delivered on paper to 180 undergraduate MIM (n = 100) and MIMV (n = 80) students. After collecting 139 questionnaires partially or fully completed, with varying response rates for each question, it was concluded that most of the students consider that animal experimentation is ethically acceptable when the benefits balance the harms and assuming that refinement of animal procedures is warranted; they also agree to the establishment, maintenance and performance of animal procedures solely for educational purposes as a way of ensuring optimal acquisition of theoretical knowledge, attitudes and behaviors and technical skills. Nevertheless, it is the responsibility of teachers to explore and implement pedagogical methodologies thar are equally effective but more humane and compassionate towards sentient living beings. (shrink)

This paper reports the key findings from two student surveys undertaken at our institution in the academic years 2020-21 and 2021-22. The research was based on the Bretag et al. (2018) student survey undertaken in various Australian universities. After discussions with both Bretag and Harper, we adapted the questions to our context – a Russell Group university in the UK – but included similar questions to enable a comparison, and to find out if there were common themes. The main aim (...) of the surveys was to understand our students’ awareness of what is meant by the term ‘academic integrity’, defined as ‘being honest in your work, acknowledging the work of others and giving credit where you have used other people’s ideas/data’ https://secretariat.leeds.ac.uk/wp-content/uploads/sites/109/2022/12/academic_integrity.pdf. The responses provided an important insight into student attitudes to academic integrity, their understanding of academic malpractice, and their awareness of the penalties if found to have plagiarised, and if found guilty of contract cheating (Medway et al., 2018; Morris, 2018; Harper et al., 2019). The surveys also identified what students would find useful in developing their understanding of academic integrity, and this underlines the importance of consulting our students. Key findings include gaps in the information provided to students, the need for regular and timely reminders of the principles of academic integrity, and the need for guidance to be written using student-friendly language. The findings informed our recommendations in terms of teaching and learning at School/Faculty level and to policy at University level, to further support student success. In the context of the key issues raised by the Quality Assurance Agency for Higher Education (QAA) Academic Integrity Charter (2020), we discuss examples of best practice currently undertaken at the University of Leeds, on-going discussions regarding developments, and our recommendations for further embedding a culture of academic integrity. We argue that all students should have the same baseline experience and therefore promoting this ethos is the responsibility of all staff who teach and support students. (shrink)

Ethics in research can be broadly divided into two epistemic dimensions. One dimension focuses on bureaucratic procedures (i.e., procedural ethics), while the other focuses on contextually and culturally contested practice of ethics in research (i.e., ethics in practice). Researchers experience both dimensions distinctly in their qualitative research. The review of ethics in prospective research through bureaucratic procedures aims to measure compliance with documented requirements relating to research participants, data management, consent, and ensure researchers can demonstrate their ethical competence before they (...) commence their research. However, researchers often experience unanticipated ethical issues within the context of their research; sometimes ethics-related situations, including language sensitivity, cultural humility, and data processing experienced by researchers can be very different from what was included in bureaucratic procedures. In this study, phenomena related to research ethics in practice, as experienced by social scientists (n = 5) in their qualitative research, are hermeneutically explored and interpreted. The selected phenomena represent the researchers’ lived experiences regarding the practice of participant autonomy, specifically exploring participants’ right to withdraw from research. These phenomena are interpreted from the theoretical perspectives of situational relativism and self-determined autonomy. The interpreted phenomena reveal the current practices in ethical management of data collected from participants before their decision to withdraw from research (i.e., withdrawal data), are predominantly focused on tangible forms of data (i.e., the information that can easily be distinguished from other data), but ethical concerns associated with intangible forms of data are often neglected. The intangible forms of data are experiential knowing and understanding that include, feeling, emotion, courage, respect, celebration, anger, and the sense of being and belonging. The study recommends that researchers and research professionals should exercise ethical sensitivity and humility towards intangible forms of data collected during qualitative research when participants withdraw their consent. (shrink)

The global surge in academic misconduct during the COVID-19 pandemic, exacerbated by remote teaching and online assessment, necessitates a comprehensive understanding of the multidimensional aspects and stakeholders' perspectives associated with this issue. This paper addresses the prevalent use of answer-providing sites and other types of academic misconduct, underscoring the challenge of detecting all or most of the student misconduct. Exploring factors such as faculty inexperience in remote teaching and assessment, the paper advocates for proactive measures to preserve integrity in education. (...) Emphasizing the need for a culture of integrity beyond traditional classrooms, the paper reviews existing models, then details steps to create a framework using the International Labour Organization (ILO)’s TREE training method. It presents the IEPAR framework (Inspiration, Education, Pedagogical considerations, Assessment design, Response and Restorative practice), and assesses its effectiveness. Incorporating faculty feedback, the paper concludes with evidence-based findings, positioning the IEPAR framework as a robust approach for addressing academic misconduct and fostering a culture of academic integrity in higher education through responsible training of all stakeholders. (shrink)

Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge and proposes a novel, two-factor model of examination misconduct, dividing it into individual and collective forms of dishonesty. A study conducted on a large sample of 462 Polish students (...) confirmed the psychometric quality of the new Examination Dishonesty Intention Scale (EDIS) and the superiority of the two-factor model over the unidimensional model. In addition, we tested the psychological correlates of both types of academic dishonesty and demonstrated their divergent validity. The results suggest that EDIS can be a valuable tool for exploring the intentions of exam dishonesty and has potential for practical applications in academic integrity policy and research. (shrink)

Given the prevalence of misconduct in research and among students in higher education, there is a need to create solutions for how best to prevent such behaviour in academia. This paper proceeds on the assumption that one way forward is to prepare students in higher education at an early stage and to encourage a smoother transition from academic integrity to research integrity by incorporating academic integrity training as an ongoing part of the curriculum. To this end, this paper presents three (...) checklists developed as part of the Erasmus+ Strategic Partnership project _Bridging Integrity in Higher Education, Business and Society_ (BRIDGE, 2020-1-SE01-KA203-077973). The aim of the checklists is to help students and their supervisors to bridge academic integrity and research integrity in research training. The checklists target master students, doctoral students, and their supervisors. This paper presents the theoretical background of the checklists, how they were developed, their content, and how they may be used in supervising thesis/dissertation work to promote a transition from academic integrity to research integrity. (shrink)

Ethics and integrity should be intertwined within the concept of Responsible Research. Integrity Officers should also be Ethics Officers, enforcing compliance with rules and norms, but also raising awareness on the meaning of ethics in researchers’ daily work. Paul Ricoeur’s definition of Ethics – “the aim of living a good life with and for others in just institutions” (Ricoeur in Oneself as Another. University of Chicago Press, 1994 ) –, points out the relational dimension of Ethics that matters to all (...) the stakeholders in scientific research. The dialogical interaction between Ethics and Integrity can help to prevent researchers from assuming self-regulation as the only possible path to be followed. In this paper, the challenges and the opportunities posed by this approach will be outlined and discussed, mainly, the challenges of building trust bottom up, while setting up restrictions to comply with rules and norms top down. Concerning the opportunities, the focus will be on making better science and building a solid network among the various stakeholders of the research system. (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)

This study investigated cheating behaviours, contributing factors, and strategies to enhance the integrity of assessment in an online learning context. The researchers conducted an analysis of the literature on students’ motivation to cheat in online modules and noted that there is limited research on the specific reasons why students cheat in online learning contexts. To contribute to this knowledge gap, this study set out to understand cheating in two English modules with first-year second language students, in an open distance and (...) e-learning institution in South Africa. The purpose of this study is (1) to investigate why students cheat in their online assessments, (2) to explore the contributing factors of cheating behaviours, and (3) to determine strategies to minimise cheating. Using qualitative methods such as focus group discussions with students, evaluation questions with markers, and one-on-one interviews with lecturers, the study found that cheating is a significant issue in distance education, with students admitting to various forms of cheating in online assessments. Using the social cognitive theory of moral disengagement, the study found that cognitive mechanisms motivate students to engage in unethical behaviour such as cheating. The study recommends implementing an interactive module design, lecturer training on student support, and stringent academic integrity policies to minimise cheating. There is a need for studies that explore the impact of cheating and the effectiveness of different strategies for minimising cheating and enhancing integrity in online assessment. (shrink)