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Showing 1 to 15 of 23 results Save | Export
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Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
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Sophia Soomin Lee; Robert L. Moore – Online Learning, 2024
In this systematic review, we synthesize ten empirical peer-reviewed articles published between 2019 and 2023 that used generative artificial intelligence (GenAI) for automated feedback in higher education. There are significant opportunities and challenges to integrate these tools effectively into learning environments as the demand for timely…
Descriptors: Artificial Intelligence, Higher Education, Feedback (Response), Grading
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Nicole Johnson; Jeff Seaman; Julia Seaman – Online Learning, 2024
Since the rise of generative artificial intelligence (GenAI) in late 2022, many scholars and thought leaders have wondered about its impact on higher education. This study used a survey methodology (three multiple choice questions and one open-ended question) to explore the perspectives of a nationally representative sample of 1,327 U.S.…
Descriptors: Artificial Intelligence, Higher Education, Teacher Attitudes, Administrator Attitudes
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Anthony G. Picciano – Online Learning, 2024
Artificial intelligence (AI) has been evolving since the mid-twentieth-century when luminaries such as Alan Turing, Herbert Simon, and Marvin Minsky began developing rudimentary AI applications. For decades, AI programs remained pretty much in the realm of computer science and experimental game playing. This changed radically in the 2020s when…
Descriptors: Teacher Education, Seminars, Technology Uses in Education, Artificial Intelligence
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Reynald M. Cacho – Online Learning, 2024
The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…
Descriptors: Artificial Intelligence, College Instruction, Learning Processes, Guidelines
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Afif Ikhwanul Muslimin; Nur Mukminatien; Francisca Maria Ivone – Online Learning, 2024
This research evaluates the impact of Cami, an AI-powered tool, integration across SAMR (Substitution, Augmentation, Modification, and Redefinition) stages (Cami AI-SAMR) in EFL (English as a Foreign Language) writing instruction. By examining student achievement and perceptions, it explores how AI technology redefines language learning and…
Descriptors: English (Second Language), Writing Instruction, Artificial Intelligence, Writing Achievement
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Andrew Swindell; Luke Greeley; Antony Farag; Bailey Verdone – Online Learning, 2024
The arrival of generative artificial intelligence (AI) is fundamentally different from prior technologies used in educational settings. Educators and researchers of online, blended, and in-person learning are still coming to grips with how to employ current AI technologies in the learning experience, let alone understanding the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Guidelines
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Zixi Li; Chaoran Wang; Curtis J. Bonk – Online Learning, 2024
As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Electronic Learning
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Reham Salhab – Online Learning, 2024
Artificial Intelligence (AI) is increasingly prevalent, permeating various aspects of and spreading across education. However, a comprehensive understanding of AI applications and how to define AI literacy is under-investigated. On this note, teaching and evaluating AI literacy necessitates educators to integrate it into course content. The…
Descriptors: Artificial Intelligence, Multiple Literacies, College Faculty, Higher Education
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Sri Sarwanti; Yanti Sariasih; Laily Rahmatika; M. Monjurul Islam; Eka Mustika Riantina – Online Learning, 2024
Despite the promising potential of artificial intelligence (AI) tools like ChatGPT for enhancing the learning experience, its integration as an educational tool in higher education poses disruptions that could affect students. This study explored university language students' usage, awareness, readiness, concerns, and perceived benefits and…
Descriptors: College Second Language Programs, Artificial Intelligence, Computer Software, Synchronous Communication
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Schroeder, Kersten T.; Hubertz, Martha; Van Campenhout, Rachel; Johnson, Benny G. – Online Learning, 2022
While research in the learning sciences has spurred advancements in educational technology, the implementation of those learning resources in natural learning contexts advances teaching and learning. In this paper, two faculty members at the University of Central Florida used courseware generated with artificial intelligence as the primary…
Descriptors: Educational Technology, Artificial Intelligence, Courseware, College Faculty
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Swapna Kumar; Ariel Gunn; Robert Rose; Rhiannon Pollard; Margeaux Johnson; Albert D. Ritzhaupt – Online Learning, 2024
The purpose of this exploratory research study was to examine the roles instructional designers (IDs) play in the integration of generative Artificial Intelligence (GenAI) into their higher education institutions, and how they use GenAI technologies in their own professional practices. Data were collected from 15 participants in the United States…
Descriptors: Distance Education, Blended Learning, Online Courses, Information Technology
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Bilal Khallel Younis – Online Learning, 2024
This study aims to investigate students' self-regulation skills, confidence to learn online, and perception of satisfaction and usefulness of online classes in three learning environments that integrates ChatGPT. In this study, a quasi-experiential design was used to compare three online learning environments that integrate ChatGPT (independent,…
Descriptors: Self Management, Self Esteem, Electronic Learning, Student Attitudes
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K. Bret Staudt Willet; Hunhui Na – Online Learning, 2024
The emergence of generative artificial intelligence (GenAI) has ignited debates regarding its potential benefits and detriments for education. Despite widespread discussions, insights into GenAI's impact on education have been limited because early studies have often been narrow in scope and focused on specific contexts. Therefore, the purpose of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Web Sites
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Cheng Ching Ho – Online Learning, 2024
Artificial intelligence (AI) tools have become a popular topic in the education field. Most of the schools in Hong Kong focus on how to properly use AI software to help students' learning experience. As this is still a relatively new technology, the stance for most of the schools in Hong Kong is skeptical. This study aims to find out whether…
Descriptors: Artificial Intelligence, Writing Ability, Technology Uses in Education, Foreign Countries
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