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Showing 1 to 15 of 67 results Save | Export
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Brian Clements; Tamirat T. Abegaz; Bryson Payne – Information Systems Education Journal, 2025
The rise of artificial intelligence (AI) has made life and work easier; however, AI has also made it almost impossible to determine whether the information we consume is legitimate, AI-generated, or AI-manipulated. This paper examines how the use of artificial intelligence, specifically GPT-4, Gemini Advanced, and Claude Opus, can aid a user in…
Descriptors: Artificial Intelligence, Perception, Man Machine Systems, Natural Language Processing
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Laura E. Matzen; Zoe N. Gastelum; Breannan C. Howell; Kristin M. Divis; Mallory C. Stites – Cognitive Research: Principles and Implications, 2024
This study addressed the cognitive impacts of providing correct and incorrect machine learning (ML) outputs in support of an object detection task. The study consisted of five experiments that manipulated the accuracy and importance of mock ML outputs. In each of the experiments, participants were given the T and L task with T-shaped targets and…
Descriptors: Artificial Intelligence, Error Patterns, Decision Making, Models
Pierre-Alexandre Balland; Olesya Grabova; J. Scott Marcus; Robert Praas; Andrea Renda – European Union, 2025
This report examines the burgeoning generative artificial intelligence (GenAI) and foundation models landscape within the European Union, and analyses its impact, technological advancements, and regulatory implications. It details the GenAI value chain, identifying key players and investment trends, revealing a significant US dominance. The report…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Industry
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Yiling Hu; Yujie Xu; Bian Wu – Education and Information Technologies, 2025
Artificial intelligence (AI) not only provides new opportunities for the high-quality development of education, but also brings multiple challenges such as psychological anxiety, workload, and role conflicts to teachers. In order to explore the complex interaction mechanism between teachers and AI in the process of human-machine collaboration,…
Descriptors: Man Machine Systems, Artificial Intelligence, Technology Uses in Education, Technological Literacy
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Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
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Kelsey Medeiros; David H. Cropley; Rebecca L. Marrone; Roni Reiter-Palmon – Journal of Creative Behavior, 2025
Much has been made of the apparent capacity for creativity of generative AI. However, as research expands the knowledge base regarding the capabilities and performance of this technology, the prevailing view is shifting away from "AI is creative" and towards a more balanced model of Human-AI co-creativity. Nevertheless, even this…
Descriptors: Man Machine Systems, Creativity, Artificial Intelligence, Models
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Sukan Saeliang; Pinanta Chatwattana – International Education Studies, 2025
The project-based learning model via generative artificial intelligence, or PjBL model via Gen-AI, is a research tool that was initiated based on the concept of project-based learning management focusing mainly on self-directed learning, in which learners are able to learn and practice through the projects they are interested in as to their…
Descriptors: Active Learning, Student Projects, Artificial Intelligence, Man Machine Systems
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Stefan E. Huber; Kristian Kiili; Steve Nebel; Richard M. Ryan; Michael Sailer; Manuel Ninaus – Educational Psychology Review, 2024
This perspective piece explores the transformative potential and associated challenges of large language models (LLMs) in education and how those challenges might be addressed utilizing playful and game-based learning. While providing many opportunities, the stochastic elements incorporated in how present LLMs process text, requires domain…
Descriptors: Artificial Intelligence, Language Processing, Models, Play
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Ekaterina Tour; Mark Pegrum; Shem Macdonald – English Australia Journal, 2025
As artificial intelligence (AI), and especially generative AI, are increasingly impacting daily life, it is becoming essential for learners to acquire AI literacy -- the capability to interact with AI at the interface of technology and the target language. Without AI literacy, they may struggle to navigate AI-driven systems and access benefits of…
Descriptors: English Learners, Technology Uses in Education, Educational Strategies, Artificial Intelligence
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Tingting Li; Kevin Haudek; Joseph Krajcik – Journal of Science Education and Technology, 2025
Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…
Descriptors: Artificial Intelligence, Scientific Concepts, Models, Automation
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Cingillioglu, Ilker – International Journal of Information and Learning Technology, 2023
Purpose: With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach: In this study, a language model…
Descriptors: Artificial Intelligence, Essays, Integrity, Cheating
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Jeon, Jaeho; Lee, Seongyong – Education and Information Technologies, 2023
Artificial Intelligence (AI) is developing in a manner that blurs the boundaries between specific areas of application and expands its capability to be used in a wide range of applications. The public release of ChatGPT, a generative AI chatbot powered by a large language model (LLM), represents a significant step forward in this direction.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Models
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Yin Liu; Zaozao Zhang; Yingkai Wu – Education and Information Technologies, 2025
The growing adoption of generative AI (GenAI) in education underscores the importance of identifying the factors that shape university students' intentions to sustain their use of this technology. Despite its growing adoption, limited research has investigated how the attributes of GenAI shape students' sustained usage intentions. Grounded in the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Technology Uses in Education
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Selçuk Dogan – Asian Journal of Distance Education, 2025
This article explores the integration of ChatGPT into instructional design, utilizing a backward planning framework to align learning objectives, assessments, and activities for enhanced educational outcomes. Grounded in the principles of Understanding by Design (UbD) the paper introduces a threestep human-AI hybrid co-design model that enables…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Instructional Effectiveness
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Jankowsky, Kristin; Schroeders, Ulrich – International Journal of Behavioral Development, 2022
Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus,…
Descriptors: Artificial Intelligence, Man Machine Systems, Attrition (Research Studies), Longitudinal Studies
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