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Frank Lee; Alex Algarra – Information Systems Education Journal, 2025
This case study examines employee attrition, its detrimental effects on businesses, and the potential of data analytics to address this challenge. By employing Latent Dirichlet Allocation (LDA), a sophisticated NLP technique, we delve into the underlying reasons for employee departures. Additionally, we explore using RapidMiner to develop…
Descriptors: Labor Turnover, Data Analysis, Natural Language Processing, Employees
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Daniel Dale – New Directions for Teaching and Learning, 2025
ChatGPT and generative AI (GenAI) are disrupting students' traditional writing process. Although this development may seem novel, new technologies and writing practices have always affected the classroom, as research in composition shows. Turning to this existing scholarship, I show how composition studies provide a useful framework for thinking…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Integration
Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
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Madison A. Pollino; Elliot A. Powell; Melissa L. McCormick – Communication Teacher, 2025
This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to…
Descriptors: Artificial Intelligence, Natural Language Processing, Public Speaking, Technology Uses in Education
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Ursula Holzmann; Sulekha Anand; Alexander Y. Payumo – Advances in Physiology Education, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenges for using such tools in college classrooms. To address this, an adaptable assignment called the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Thinking Skills
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Alexandra R. Costa; Natércia Lima; Clara Viegas; Amélia Caldeira – Cogent Education, 2024
The use of AI tools, particularly ChatGPT, has been widespread in recent years. Its application in education has been criticized by some and supported by others. In this article we present the case of a work carried out as part of a course unit in a computer science degree program in which the use of ChatGPT was not only encouraged but required.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Computer Science Education