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Elliott Ostler; Tami Williams; John Schultz – School Leadership Review, 2025
In today's data-driven and data-informed educational landscape, leaders face increasing pressure to make decisions and present results based on what appear to be comprehensive statistical analyses. However, the ethical implications of these responsibilities can be complex, particularly when statistical results carry the potential to be…
Descriptors: Data Analysis, Statistical Analysis, Data Use, Ethics
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Borchers, Conrad; Rosenberg, Joshua M.; Swartzentruber, Rita M. – Educational Technology Research and Development, 2023
Facebook is widely used and researched. However, though the data generated by educational technology tools and social media platforms other than Facebook have been used for research purposes, very little research has used Facebook posts as a data source--with most studies relying on self-report studies. While it has historically been impractical…
Descriptors: Educational Research, Social Media, Computer Mediated Communication, Written Language
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Maes, Bea; Nijs, Sara; Vandesande, Sien; Van keer, Ines; Arthur-Kelly, Michael; Dind, Juliane; Goldbart, Juliet; Petitpierre, Geneviève; Van der Putten, Annette – Journal of Applied Research in Intellectual Disabilities, 2021
Background: Within the context of the Special Interest Research Group (SIRG) on Persons with Profound Intellectual and Multiple Disabilities (PIMD), researchers often discuss the methodological problems and challenges they are confronted with. The aim of the current article was to give an overview of these challenges. Methods: The challenges are…
Descriptors: Severe Intellectual Disability, Multiple Disabilities, Research Methodology, Barriers
Nichols, T. Philip; Monea, Alexander – Phi Delta Kappan, 2023
T. Philip Nichols and Alexander Monea explore the spread of data-driven surveillance (i.e., dataveillance) technologies in schools, which are increasingly used as a strategy for mitigating safety risks. They argue that the sense of security schools derive from these technologies often comes at the cost of students' actual well-being and privacy.…
Descriptors: Student Records, School Safety, Risk Management, Well Being
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Ciaran Evans; William Cipolli; Zakary A. Draper; John-Tyler Binfet – Journal of Statistics and Data Science Education, 2023
Engaging and motivating students in undergraduate statistics courses can be enhanced by using topical peer-reviewed publications for analyses as part of course assignments. Given the popularity of on-campus therapy dog stress-reduction programs, this topic fosters buy-in from students whilst providing information regarding the importance of mental…
Descriptors: Statistics Education, Learning Motivation, Undergraduate Students, Data Analysis
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Abdur R. Shahid; Sushma Mishra – Journal of Information Systems Education, 2024
Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of…
Descriptors: Masters Programs, Information Systems, Computer Science Education, Artificial Intelligence
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Lewis, Norman P.; McAdams, Mindy; Stalph, Florian – Journalism and Mass Communication Educator, 2020
This syndicate offers four recommendations to help educators adjust curricula to accommodate the rapid integration of data into journalism. First, instruction in numeracy and basic descriptive statistics must be required as either modules in existing courses or as separate offerings. Second, students should be taught to avoid mistakes in…
Descriptors: Journalism, Data Analysis, Numeracy, Teaching Methods
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Burian, Alexis N.; Zhao, Wufan; Lo, Te-Wen; Thurtle-Schmidt, Deborah M. – Biochemistry and Molecular Biology Education, 2021
To fully appreciate genetics, one must understand the link between genotype (DNA sequence) and phenotype (observable characteristics). Advances in high-throughput genomic sequencing technologies and applications, so-called "-omics," have made genetic sequencing readily available across fields in biology from applications in…
Descriptors: Genetics, Science Instruction, Teaching Methods, Biology
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Amdat, W. C. – Journal of Statistics and Data Science Education, 2021
The Chicago Hardship Index is a proposed starting point for introducing students to structural urban inequities. ASA's mission statement to use statistics to enhance human welfare serves as a motivation for social justice projects. This article contains an application of ASA's ethical guidelines to such projects, background information about the…
Descriptors: Statistics, Statistics Education, Ethics, Social Justice
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Kumar, Vivekanandan; Ally, Mohamed; Tsinakos, Avgoustos; Norman, Helmi – Canadian Journal of Learning and Technology, 2022
Over the past decade, opportunities for online learning have dramatically increased. Learners around the world now have digital access to a wide array of corporate trainings, certifications, comprehensive academic degree programs, and other educational and training options. Some organizations are blending traditional instruction methods with…
Descriptors: Electronic Learning, Cognitive Processes, Artificial Intelligence, Educational Technology
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Stephens, Paul; Young, Jacob – Information Systems Education Journal, 2020
We describe a "Day of Giving" university fundraising event that can be used to introduce data visualization to undergraduate students. The project involves integrating data sources, creating a Tableau data model, and designing a heat map that can be embedded into a front-end website. Our activity provides opportunities to discuss various…
Descriptors: Data Analysis, Visualization, Experiential Learning, Learning Activities
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Kitto, Kirsty; Knight, Simon – British Journal of Educational Technology, 2019
Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…
Descriptors: Ethics, Learning Analytics, Artificial Intelligence, Data Analysis
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Rodríguez-Dorans, Edgar; Jacobs, Paula – International Journal of Social Research Methodology, 2020
This paper proposes the method of 'narrative portraiture', which, located within the wider field of narrative studies, offers an analytical tool to narrative data. Two research projects, one on disability and one on identity, are used to illustrate how the method can be applied. While the paper will focus on the methodological benefits and…
Descriptors: Data Analysis, Personal Narratives, Qualitative Research, Ethics
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Jones, Valerie K.; Johnson, Kate; Molskness, Hannah; Gandhi, Ronit; Zhou, Lilly – Journal of Advertising Education, 2022
This paper describes an advertising ethics course designed for first-year students of any major, written from the perspectives of both the course creator/instructor and the students who took the course and developed a workshop based around it. As educators, how do we help students learn and care about how their data is collected and used and…
Descriptors: Advertising, Ethics, Introductory Courses, Undergraduate Students
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Pingitore, Alyssa; Mack, Ashley; Zhang, Justin; Devine, Eric G.; Doerr, Jackson; Denneen, Caroline – Research Ethics, 2022
Incidental findings in research with human participants may have implications for a person's present health or future health outcomes. Current guidelines focus on methods for handling and reporting incidental findings from biological test data but incidental findings might also arise from non-biological tests. This article presents three examples…
Descriptors: Ethics, Research Methodology, Data Analysis, Health
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