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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
Kyle Redican; Matteo Gonzalez; Beth Zizzamia – Journal of Geography in Higher Education, 2025
ChatGPT, an AI software, has rapidly gained popularity for a wide variety of applications, including educational uses. This research explores the use of ChatGPT to supplement Geographical Information Systems (GIS) coursework creation, to help educators with little experience in GIS. Visualizing sea level rise (SLR) and quantifying the extent of…
Descriptors: Geographic Information Systems, Computer Software, Synchronous Communication, Artificial Intelligence
Han Wan; Hongzhen Luo; Mengying Li; Xiaoyan Luo – IEEE Transactions on Learning Technologies, 2024
Automatic program repair (APR) tools are valuable for students to assist them with debugging tasks since program repair captures the code modification to make a buggy program pass the given test-suite. However, the process of manually generating catalogs of code modifications is intricate and time-consuming. This article proposes contextual error…
Descriptors: Programming, Computer Science Education, Introductory Courses, Assignments
James W. Drisko – Journal of Teaching in Social Work, 2025
The rise of AI generated texts offers promise but creates new challenges for social work teaching. A recent survey found that 89% of higher education students used AI on their homework. AI generated text may be difficult to distinguish from a student's own work, yet are being submitted as the student's own work. This poses new challenges to…
Descriptors: Plagiarism, Social Work, Counselor Training, Artificial Intelligence
Emmanuel Senior Tenakwah; Gideon Boadu; Emmanuel Junior Tenakwah; Michael Parzakonis; Mark Brady; Penny Kansiime; Shannon Said; Sarah Eyaa; Raymond Kwojori Ayilu; Ciprian Radavoi; Alan Berman – Knowledge Management & E-Learning, 2025
The development and introduction of AI language models have transformed the way humans and institutions interact with technology, enabling natural and intuitive communication between humans and machines. This paper conducts a competence-based analysis of ChatGPT's task responses to provide insights into its language proficiency, critical analysis…
Descriptors: Higher Education, Evaluation Methods, Artificial Intelligence, Computer Software
Dimitrije Curcic – International Journal of Technology in Education and Science, 2024
Within digital drawing courses, students are immersed in the utilization of software tools and technological advancements to craft a diverse array of artwork, illustrations, graphics, and animations, adhering to both industry standards and artistic principles. However, tailoring the complexity of digital drawing assignments to accommodate students…
Descriptors: Freehand Drawing, Computer Uses in Education, Assignments, Higher Education
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
Christopher J. Casement; Laura A. McSweeney – Journal of Statistics and Data Science Education, 2024
As the use of data in courses that incorporate statistical methods has become more prevalent, so has the need for tools for working with such data, including those for data creation and adjustment. While numerous tools exist that support faculty who teach statistical methods, many are focused on data analysis or theoretical concepts, and there…
Descriptors: Statistics Education, Data Science, Educational Technology, Computer Software
Amelie Vanhove; Evelien Opdecam; Sarah Mestdagh; Leen Haerens – European Journal of Education, 2024
To date, no widely used, scientifically validated instruments designed for assessing secondary education students' teamwork skills exist. As CATME-B shows promising results and might suit secondary education's needs best, this study offers an initial investigation on (1) how students and teachers perceive the use of CATME-B in secondary education…
Descriptors: Secondary School Students, Cooperative Learning, Teamwork, Assignments
Elizabeth L. Wetzler; Kenneth S. Cassidy; Margaret J. Jones; Chelsea R. Frazier; Nickalous A. Korbut; Chelsea M. Sims; Shari S. Bowen; Michael Wood – Teaching of Psychology, 2025
Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…
Descriptors: Essays, Writing Evaluation, Scores, Evaluators
Mark Sena; Thilini Ariyachandra – Information Systems Education Journal, 2024
The Titanic disaster is a topic that continues to fascinate. As the importance of analytics continues to grow in industry, data literacy skills have become increasingly important in business education. This project allows students to use the passenger data from the Titanic to build their data literacy skills using an engaging, experiential topic.…
Descriptors: Literacy, Teaching Methods, Experiential Learning, Business Education
Aimee Jacobs; Jacquelin J. Curry; Concetta A. DePaolo; Fernando Parra – Journal of Information Systems Education, 2024
This manuscript describes the use of real data applied to a fictional real-estate firm for teaching data visualization to university students. In the case study, students employ data analytic techniques in Tableau to clean, organize, and analyze real estate data. By creating visualizations, students address several questions about how selling…
Descriptors: Visualization, Housing, Computer Software, Data Use
Guy J. Krueger – Thresholds in Education, 2025
Generative AI has become a quotidian discussion topic in many writing departments, and the conversations often focus on the negative aspects or the disruptions it has caused. A growing number of teachers and scholars, though, have embraced the new technology and welcomed it into their classrooms. In the Spring 2024 semester, students in my…
Descriptors: Writing Instruction, Artificial Intelligence, Computer Software, Technology Integration
Dhruv Grewal; Abhijit Guha; Cinthia Beccacece Satornino; Marc Becker – Journal of Marketing Education, 2025
Employers expect university graduates seeking entry-level marketing jobs to be well-versed in contemporary topics, such as sustainable development, digital marketing, big data, analytics, and the role of artificial intelligence (AI) in both traditional and contemporary marketing domains. Because many of today's cutting-edge technological advances…
Descriptors: Futures (of Society), Marketing, Business Education, Teaching Methods