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Showing 1 to 15 of 24 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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Sonsoles Lopez-Pernas; Kamila Misiejuk; Rogers Kaliisa; Mohammed Saqr – IEEE Transactions on Learning Technologies, 2025
Despite the growing use of large language models (LLMs) in educational contexts, there is no evidence on how these can be operationalized by students to generate custom datasets suitable for teaching and learning. Moreover, in the context of network science, little is known about whether LLMs can replicate real-life network properties. This study…
Descriptors: Students, Artificial Intelligence, Man Machine Systems, Interaction
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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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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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Yumeng Zhu; Caifeng Zhu; Tao Wu; Shulei Wang; Yiyun Zhou; Jingyuan Chen; Fei Wu; Yan Li – Education and Information Technologies, 2025
With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…
Descriptors: Artificial Intelligence, Assignments, Middle School Students, Influence of Technology
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Holly Ryan; Daniel Abramov; Samantha Acker; Sydney Elkins – Thresholds in Education, 2025
This paper explores the complexities of co-authorship involving generative AI in academic contexts, focusing on an honors English class where students engaged with AI tools like ChatGPT. It critiques the boundaries of authorship as defined by COPE, which argues AI cannot be an author due to its lack of accountability. The study explores the…
Descriptors: Artificial Intelligence, Writing (Composition), Honors Curriculum, English Instruction
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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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Donnie Adams; Kee-Man Chuah; Edward Devadason; Muhammad Shamshinor Abdul Azzis – Education and Information Technologies, 2024
The emergence of chatbots and language models, such as ChatGPT has the potential to aid university students' learning experiences. However, despite its potential, ChatGPT is relatively new. There are limited studies that have investigated its usage readiness, and perceived usefulness among students for academic purposes. This study investigated…
Descriptors: Foreign Countries, College Students, Student Behavior, Help Seeking
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Irena Miljkovic Krecar; Maja Kolega; Lana Jurcec – IAFOR Journal of Education, 2024
In the context of education, the issues of integrating artificial intelligence (AI) into teaching and maintaining academic integrity in students' use of AI are particularly relevant. This paper empirically examined the issue of ChatGPT usage for writing homework from the perspectives of students and professors. Study research methods included both…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Attitudes
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Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
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Nancy J. Murray – Teaching and Learning Excellence through Scholarship, 2023
18 students engaged in learning about artificial intelligence, specifically ChatGPT 3 (CHAT), to respond to the question of whether it is ethical or practical for students to use CHAT in college-level classrooms to complete assignments. A thematic unit was created and taught in 2 face-to-face English 101 classes to explore the topic of CHAT. The…
Descriptors: Artificial Intelligence, English Instruction, Synchronous Communication, Computer Software
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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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Jessica Cail – Teaching of Psychology, 2025
Background: Rapid changes brought on by generative artificial intelligence (AI) have emphasized the need to teach students to work with this technology while also developing the "robot proof" human skills future workers will need, such as creativity, communication, and critical thinking. Objective: The study objective was to explore…
Descriptors: Psychology, Accuracy, Artificial Intelligence, Technology Integration
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Jinhee Kim; Yoonhee Ham; Sang-Soog Lee – Australasian Journal of Educational Technology, 2024
Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…
Descriptors: Artificial Intelligence, Computer Graphics, Freehand Drawing, Assignments
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