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Jack B. Joyce; Tom Douglass; Bethan Benwell; Catrin S. Rhys; Ruth Parry; Richard Simmons; Adrian Kerrison – International Journal of Social Research Methodology, 2023
Over the last 30 years, there has been substantial debate about the practical, ethical and epistemological issues uniquely associated with qualitative data sharing. In this paper, we contribute to these debates by examining established data sharing practices in Conversation Analysis (CA). CA is an approach to the analysis of social interaction…
Descriptors: Ethics, Epistemology, Discourse Analysis, Research Methodology
Winnie Lay; Loretta Gasparini; William Siero; Elizabeth K. Hughes – Research Ethics, 2025
Dynamic consent is increasingly recommended for longitudinal and biobanking research; however, the value of investing in such systems is unclear. We undertook a rapid review of the benefits and challenges of implementing dynamic consent by searching five databases (Ovid Medline, Ovid Embase, Scopus, Web of Science, Cumulative Index to Nursing and…
Descriptors: Databases, Research Reports, Researchers, Research Methodology
Silindile Ngcobo; Afika Fikiswa Magadla-Mateyise – Research in Social Sciences and Technology, 2025
This study, conducted through a combination of interviews, surveys, and direct observations, examines the exploitation of sleep-in domestic workers from Lesotho who work in South African households. Based on data collected from 15 participants, the research brings to light the difficult living conditions these workers face, including a lack of…
Descriptors: Foreign Countries, Service Occupations, Work Environment, Privacy
Mohammad Rakibul Islam Bhuiyan; Taha Husain; Saiful Islam; Al Amin – Health Education, 2025
Purpose: The study aims to assess the awareness, perception and adoption of artificial intelligence (AI) in Bangladesh's healthcare sector. Design/methodology/approach: This study utilizes a quantitative methodology. A survey with structured questionnaire was conducted with a sample of 399 healthcare professionals and public members through…
Descriptors: Foreign Countries, Artificial Intelligence, Knowledge Level, Technology Integration
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Langenfeld, Thomas – Journal of Applied Testing Technology, 2022
The turn to online learning and training programs as a response to challenging times (i.e., the COVID-19 crisis) necessitated the need for internet-based testing solutions. Researchers generally have found that Unproctored Internet Testing (UIT) for high-stakes cognitive ability assessments results in higher scores than proctored assessments. Live…
Descriptors: Internet, Computer Assisted Testing, COVID-19, Pandemics
Hsieh, Shu-Hui; Lee, Shen-Ming; Li, Chin-Shang – Sociological Methods & Research, 2022
Surveys of income are complicated by the sensitive nature of the topic. The problem researchers face is how to encourage participants to respond and to provide truthful responses in surveys. To correct biases induced by nonresponse or underreporting, we propose a two-stage multilevel randomized response (MRR) technique to investigate the true…
Descriptors: Income, Surveys, Response Rates (Questionnaires), Response Style (Tests)
Viberg, Olga; Engström, Linda; Saqr, Mohammed; Hrastinski, Stefan – Education and Information Technologies, 2022
In order to successfully implement learning analytics (LA), we need a better understanding of student expectations of such services. Yet, there is still a limited body of research about students' expectations across countries. Student expectations of LA have been predominantly examined from a view that perceives students as a group of individuals…
Descriptors: Learning Analytics, Student Attitudes, Expectation, College Students
Anwar, Mohd – International Journal of Artificial Intelligence in Education, 2021
Privacy is a rather murky concept, but the absence of privacy is clearly felt in today's digital world. With the significant increase in surveillance power of software and hardware, storage capacity, computing power as well as advancement in data science technologies, the threat to privacy is ever increasing. Within the digital realm, privacy has…
Descriptors: Privacy, Trust (Psychology), Individualized Instruction, Online Courses
Yusri, Rita; Abusitta, Adel; Aïmeur, Esma – International Journal of Artificial Intelligence in Education, 2021
Nowadays, privacy education plays an important role in teenagers' lives. Since this domain is strongly linked to their social life, it is preferable to provide a collaborative learning environment that teaches privacy, and at the same time, allows students to share knowledge, to interact with each other, to solve quizzes collaboratively and to…
Descriptors: Privacy, Game Theory, Adolescents, Cooperative Learning
Rosenberg, Joshua M.; Burchfield, Macy; Borchers, Conrad; Gibbons, Benjamin; Anderson, Daniel; Fischer, Christian – Phi Delta Kappan, 2021
For many schools and districts in the United States, Facebook has emerged as an important tool for sharing timely information, building a sense of community, highlighting staff and students, and many other purposes. However, neither researchers nor schools and districts have paid enough attention to how their Facebook use may pose a risk to the…
Descriptors: Social Media, Privacy, Elementary Secondary Education, School Districts
John Y. H. Bai; Olaf Zawacki-Richter; Wolfgang Muskens – Turkish Online Journal of Distance Education, 2024
Artificial intelligence in education (AIEd) is a fast-growing field of research. In previous work, we described efforts to explore the possible futures of AIEd by identifying key variables and their future prospects. This paper re-examines our discussions on the governance of data and the role of students and teachers by considering the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Governance
Sara Sullivan; Julie Fell; Kathryn Stoltenberg; Jessica Alberhasky – College and University, 2024
The University of Iowa (UI) is the state of Iowa's flagship institution; a public research one, division one university in the Big Ten Conference (B1G) with twelve colleges. One hidden gem in the accomplishments of the Office of the Registrar is UI's FERPA Team (UI-FT); a point of pride unknown to many but greatly appreciated by those who know the…
Descriptors: Educational Legislation, Student Records, Privacy, Parent Rights
Katherine C. Aquino; Sally Scott – Journal of Postsecondary Education and Disability, 2024
The numerous stressors and strains of the COVID-19 pandemic contributed to growing numbers of college students experiencing disabilities and needing support. This practice brief explores the challenges faced by disability resource professionals (DRPs) during the pandemic in reaching and supporting students potentially needing accommodations, but…
Descriptors: Students with Disabilities, COVID-19, Pandemics, Privacy
Eric Yang; Cheryl Beil – New Directions for Higher Education, 2024
Artificial intelligence (AI) and machine learning (ML) have transformed the landscape of data management in higher education institutions, necessitating a critical evaluation of existing data privacy policies and practices. This research delves into the inadequacies of current frameworks in adapting to the swift evolution of Big Data. Student,…
Descriptors: Artificial Intelligence, Teacher Attitudes, Student Attitudes, College Students