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Showing 1 to 15 of 202 results Save | Export
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Jonathan M. Golding; Anne Lippert; Jeffrey S. Neuschatz; Ilyssa Salomon; Kelly Burke – Teaching of Psychology, 2025
Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Humanities
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Kong Chen; April C. Tallant; Ian Selig – Information and Learning Sciences, 2025
Purpose: Current knowledge and research on students' utilization and interaction with generative artificial intelligence (AI) tools in their academic work is limited. This study aims to investigate students' engagement with these tools. Design/methodology/approach: This research used survey-based research to investigate generative AI literacy…
Descriptors: Artificial Intelligence, Higher Education, College Students, Technology Integration
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Sara Colando; Johanna Hardin – Journal of Statistics and Data Science Education, 2024
There is wide agreement that ethical considerations are a valuable aspect of a data science curriculum, and to that end, many data science programs offer courses in data science ethics. There are not always, however, explicit connections between data science ethics and the centuries-old work on ethics within the discipline of philosophy. Here, we…
Descriptors: Philosophy, Data Science, Ethical Instruction, Ethics
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Imre Csaszar; Jennifer R. Curry – Research Issues in Contemporary Education, 2024
Students have gravitated toward the convenience of artificial intelligence (AI) to generate text, music, and for entertainment. Faculty are also emerging as AI consumers. Given that faculty workloads have become increasingly difficult to manage, AI holds promise for assisting with teaching and research. In this article, a pedagogical case study is…
Descriptors: Artificial Intelligence, Assignments, Critical Thinking, Ethics
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Christopher Hill; Jace Hargis – New Directions for Teaching and Learning, 2025
This article explores the intersection between academic integrity and generative AI (GenAI). It presents a tested framework for a versatile 3-h module applicable to various disciplines. Since ChatGPT's emergence, GenAI's impact on academic integrity has raised concerns, challenged established norms, and blurred lines of authorship. Engaging…
Descriptors: Ethics, Integrity, Artificial Intelligence, Computer Software
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Luke Parker; Chris Carter; Alice L. Karakas; Jane A. Loper; Ahmad Sokkar – AERA Online Paper Repository, 2024
In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…
Descriptors: Artificial Intelligence, Technology Education, Higher Education, Influence of Technology
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Flom, Jacalyn; Green, Karen; Wallace, Steven – Active Learning in Higher Education, 2023
Cheating in higher education has numerous negative implications, including degrading program reputations, inflating student retention rates, and cultivating poor ethical practices, all of which have implications for what students do in the workplace after graduation. Therefore, by understanding the current student population, Generation Z, it is…
Descriptors: Cheating, Ethics, Student Behavior, Age Groups
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Clementson, David E. – Communication Teacher, 2023
Public relations and strategic communication are offered in communication departments with a field of study largely geared toward professional communicators. The majors place a heavy emphasis on internships, which seem to be more competitive than ever. A class project can jumpstart students' preparation for entry-level positions in the industry by…
Descriptors: Public Relations, Class Activities, Student Projects, Internship Programs
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Kurt Schmitz; Veda C. Storey – Journal of Teaching and Learning with Technology, 2024
Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for largeenrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high…
Descriptors: Large Group Instruction, Assignments, Integrity, Student Evaluation
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Leanna Deorajee Kalicharan; Cathal Butler – Journal of Applied Research in Higher Education, 2025
Purpose: This study contributes to the current body of literature on students' understanding of academic misconduct, plagiarism, forms of plagiarism, the reasons they plagiarize, the sanctions imposed by academics for plagiarizing and the methods to address plagiarism in written assessments within the Faculty of Natural Sciences, University of…
Descriptors: College Students, Student Behavior, Ethics, Plagiarism
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Gray, Brenna Clarke – Collected Essays on Learning and Teaching, 2023
This paper reviews the Digital Detox project at TRU. At TRU, the Digital Detox is not necessarily about abstaining from technology altogether, but rather establishing a more ethical, healthier approach to the tools we are required to use every day. Conceived this way, a Digital Detox offers an approachable opportunity to discuss difficult and…
Descriptors: Educational Technology, Ethics, Partnerships in Education, Universities
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Paul A. E. Piunno; Anna Shahmuradyan – Journal of Chemical Education, 2024
A science, technology, society, and environmental (STSE) impact assignment framework was developed that bridges the gap between analytical chemistry education and broader societal and environmental contexts. Over the course of [approximately]8 weeks, students were provided with the opportunity to engage in a self-directed learning opportunity to…
Descriptors: Science Education, Environmental Education, Social Influences, Chemistry
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Julio-César Mateus; Nohemi Lugo; Giancarlo Cappello; Mar Guerrero-Pico – Digital Education Review, 2024
This research explores university educators' perspectives on the opportunities, concerns, and considerations associated with Generative Artificial Intelligence (GenAI) in the training of professional communicators. Positioned at the early stages of ChatGPT's integration into educational settings, the study examines teachers' assignment…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Faculty, Teacher Attitudes
Aaron Blackwelder; Jason Cowley – Corwin, 2025
Artificial intelligence (AI) is here and seems on the brink of transforming education. As teachers, we know that AI will not diminish the need for students to learn essential skills. It will, however, change how we teach and will require us to develop new skill sets for instruction and assessment. Teachers have a new opportunity--to embrace…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Educational Technology
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Shrader, Charles B.; Ravenscroft, Sue Pickard; Kaufmann, Jeffrey B.; Hansen, Kyle – Decision Sciences Journal of Innovative Education, 2021
Although classroom cheating violates academic standards of behavior, it occurs frequently. Although the research on cheating is extensive, few researchers have interviewed students directly involved in cheating behaviors. We explore interview responses gathered from a cohort of graduate accounting students, some of whom colluded on an assignment,…
Descriptors: Graduate Students, Accounting, Student Attitudes, Cheating
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