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Showing 1 to 15 of 27 results Save | Export
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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
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Michael E. Ellis; K. Mike Casey; Geoffrey Hill – Decision Sciences Journal of Innovative Education, 2024
Large Language Model (LLM) artificial intelligence tools present a unique challenge for educators who teach programming languages. While LLMs like ChatGPT have been well documented for their ability to complete exams and create prose, there is a noticeable lack of research into their ability to solve problems using high-level programming…
Descriptors: Artificial Intelligence, Programming Languages, Programming, Homework
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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
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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
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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
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Ruby A. Daniels; Kathryn Appenzeller Knowles; Amanda Lindner; Emily Naasz – Marketing Education Review, 2024
In marketing, the traditional approach for teaching quantitative concepts uses individual courses, such as marketing research and business statistics. While this pedagogy is common, research indicates it is difficult for students to master quantitative concepts in a single course. Instead, quantitative reasoning (QR) requires repeated practice, so…
Descriptors: Marketing, Business Administration Education, Statistics Education, Spiral Curriculum
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Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
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Irum Naz; Rodney Robertson – Electronic Journal of e-Learning, 2024
This study explores the feasibility of using AI technology, specifically ChatGPT-3, to provide reliable, meaningful, and personalized feedback. Specifically, the study explores the benefits and limitations of using AI-based feedback in language learning; the pedagogical frameworks that underpin the effective use of AI-based feedback; the…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Software, Feedback (Response)
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Melanie M. Cooper; Michael W. Klymkowsky – Journal of Chemical Education, 2024
The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Homework
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Lisa Otto – Africa Education Review, 2024
ChatGPT has been on the lips and minds of academics and students alike since the launch of the generative technology in November 2022. Students have made use of it and academic institutions have debated how to respond to its use, variously either banning it outright or arguing that there should be a place for such technologies in our teaching and…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Xiaoni Zhang – Journal of Information Systems Education, 2025
This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI…
Descriptors: Databases, Technology Integration, Critical Thinking, Thinking Skills
Santi Pratiwi Tri Utami; Andayani; Retno Winarni; Sumarwati – Contemporary Educational Technology, 2023
Research shows that artificial intelligence (AI) technology positively influences students' writing skills, but this area has yet to be touched by Indonesian researchers. This study aims to map perception, obstacles, and recommendations for optimizing use of AI in teaching academic writing in Indonesian. This article focuses on a case study of…
Descriptors: Foreign Countries, Writing Instruction, Artificial Intelligence, Writing Skills
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David R. Firth; Jason Triche – Information Systems Education Journal, 2024
Since ChatGPT exploded onto the scene in October 2022, the media has been breathless with their discussion about how it is going to impact many aspects of life and work. In order to bring this new reality of generative AI into the "Introduction to Management Information Systems" classroom at both the undergraduate and graduate levels, we…
Descriptors: Information Systems, Artificial Intelligence, Information Science Education, Computer Software
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Annabelle T. Lolinco; Thomas A. Holme – Journal of Chemical Education, 2023
In a technology-centric world, leveraging digital tools such as chatbots allows educators to engage students in ways that may be more accessible for both parties, particularly in large lecture classrooms. This report details the development of an interactive web-based chatbot to curate content for writing about chemistry in context. Students were…
Descriptors: Chemistry, Science Instruction, Artificial Intelligence, Computer Software
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
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