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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
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
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
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
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
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
Integrity of Best-Answer Assignments in Large-Enrollment Classes: The Role of Compulsory Attribution
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
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
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
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
Amy David – Decision Sciences Journal of Innovative Education, 2024
This article details an art assignment given to undergraduate management students in an introductory supply chain management course. Students were asked to choose a supply chain ethics issue, create a work of art that responded to the issue, then write an artist's statement that discussed the thought process and choices made in creating their…
Descriptors: Art Education, Creativity, Assignments, Undergraduate Study
Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Yovav Eshet – Education and Information Technologies, 2024
The COVID-19 pandemic has forced higher education institutions worldwide to shift from face-to-face (F2F) to emergency remote teaching (ERT), which has led to an increased concern about academic integrity. This study examines the relationship between learning environment and academic integrity via plagiarism detection software in different…
Descriptors: Plagiarism, Integrity, Ethics, Student Behavior
Jude Brady; Martina Kuvalja; Alison Rodrigues; Sarah Hughes – Research Matters, 2024
This study explores undergraduate students' use of ChatGPT when writing essays. Three students were tasked with writing two essays each for a coursework component for a Cambridge qualification facilitated by access to ChatGPT. After writing the essays, they participated in semi-structured interviews about their experiences of using the technology.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Undergraduate Students, Writing (Composition)