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Lanqin Zheng; Yunchao Fan; Bodong Chen; Zichen Huang; LeiGao; Miaolang Long – Education and Information Technologies, 2024
Online collaborative learning has been broadly applied in higher education. However, learners face many challenges in collaborating with one another and coregulating their learning, leading to low group performance. To address the gaps, this study proposed an artificial intelligence (AI)-enabled feedback and feedforward approach that not only…
Descriptors: Artificial Intelligence, Feedback (Response), Electronic Learning, Cooperative Learning
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Ryan Hare; Ying Tang; Sarah Ferguson – IEEE Transactions on Education, 2024
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key…
Descriptors: Intelligent Tutoring Systems, Game Based Learning, Gamification, Student Attitudes
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Eyüp Yurt; Ismail Kasarci – International Journal of Technology in Education, 2024
This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in…
Descriptors: Artificial Intelligence, Foreign Countries, College Students, Student Attitudes
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K. I. Senadhira; R. A. H. M. Rupasingha; B. T. G. S. Kumara – Education and Information Technologies, 2024
The majority of educational institutions around the world have switched to online learning due to the COVID-19 pandemic. Since continuing education has become important during the pandemic as well, academics and students have recognized the value of online learning to avoid their challenges. The objective of this study is to categorize peoples'…
Descriptors: Classification, Artificial Intelligence, Social Media, Electronic Learning
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Jill Fenton Taylor; Ivana Crestani – Qualitative Research Journal, 2024
Purpose: This paper aims to explore how an academic researcher and a practitioner experience scepticism for their qualitative research. Design/methodology/approach: The study applies Olt and Teman's new conceptual phenomenological polyethnography (2019) methodology, a hybrid of phenomenology and duoethnography. Findings: For the…
Descriptors: Qualitative Research, Phenomenology, Ethnography, Bias
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Hei-Chia Wang; Yu-Hung Chiang; I-Fan Chen – Education and Information Technologies, 2024
Assessment is viewed as an important means to understand learners' performance in the learning process. A good assessment method is based on high-quality examination questions. However, generating high-quality examination questions manually by teachers is a time-consuming task, and it is not easy for students to obtain question banks. To solve…
Descriptors: Natural Language Processing, Test Construction, Test Items, Models
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Muhammad Imran; Norah Almusharraf – Smart Learning Environments, 2024
This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing data from text, image, audio, and video inputs and generating diverse content types. This study discusses…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
Louis Volante; Don A. Klinger; Christopher DeLuca – Phi Delta Kappan, 2024
The promotion and measurement of standards in compulsory education systems has been a prominent feature of Western education systems for centuries. But the COVID-19 pandemic and the rise of artificial intelligence (AI) have made the limits of current standards-based approaches to assessment more evident. Louis Volante, Don A. Klinger, and…
Descriptors: Educational Change, Academic Standards, Compulsory Education, COVID-19
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Mohammad Mohi Uddin – Discover Education, 2024
The abrupt evolution of Artificial Intelligence (AI) in academia has spurred a complex debate regarding its rejection or integration in academia. This study aims to portray a comparative analysis of the risks associated with the integration of AI and the missed opportunities in the absence of AI in academic settings. Utilizing the economic theory…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Risk
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Joan Li; Nikhil Kumar Jangamreddy; Ryuto Hisamoto; Ruchita Bhansali; Amalie Dyda; Luke Zaphir; Mashhuda Glencross – Australasian Journal of Educational Technology, 2024
Generative artificial intelligence technologies, such as ChatGPT, bring an unprecedented change in education by leveraging the power of natural language processing and machine learning. Employing ChatGPT to assist with marking written assessment presents multiple advantages including scalability, improved consistency, eliminating biases associated…
Descriptors: Higher Education, Artificial Intelligence, Grading, Scoring Rubrics
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Laura M. Bernhardt – New Directions for Teaching and Learning, 2024
This essay uses an example of a library instruction exercise in which otherwise competent online searching goes wrong as a springboard for reconceptualizing digital literacy as an environmental ethics of information. This reconceptualization is presented as a corrective measure for teachers and students grappling with the uses and misuses of AI…
Descriptors: Digital Literacy, Ethics, Library Instruction, Online Searching
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Hacer Güner; Erkan Er; Gökhan Akçapinar; Mohammad Khalil – Educational Technology & Society, 2024
The revolutionary breakthrough of ChatGPT has significantly impacted various fields, including education. To produce maximum benefit in education from this innovative technology, it should be properly integrated into educational settings to create effective ways for learning while paying attention to ethical considerations. Understanding students'…
Descriptors: Artificial Intelligence, Technology Integration, Student Attitudes, College Students
José Antonio Bowen; C. Edward Watson – American Association of Colleges and Universities, 2024
Artificial Intelligence (AI) is revolutionizing the way we learn, work, and think. Its integration into classrooms and workplaces is already underway, impacting and challenging ideas about creativity, authorship, and education. In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching…
Descriptors: Artificial Intelligence, Teaching Guides, Integrated Activities, Educational Research
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Turgut Karakose – Educational Process: International Journal, 2024
Background/purpose: Developments in the world of Artificial Intelligence (AI) is full steam ahead in the wake of the fourth industrial revolution. One of the hot discussions over the exponential advancement of AI has been whether this ability of machines to accomplish tasks that require human intelligence could take over the roles of humans in the…
Descriptors: Artificial Intelligence, Principals, Administrator Role, School Administration
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Anke Grotlüschen; Gregor Dutz; Kristin Skowranek – International Journal of Lifelong Education, 2024
The International Literacy Day 2023 was the first after the launch the text generating artificial intelligence ChatGPT. This was the reason for a Literacy Promptathon that allows users to learn how to handle text and image generation. The International Literacy Day media coverage for the first time touched on the question of AI generated text. One…
Descriptors: Artificial Intelligence, Natural Language Processing, Critical Literacy, Misinformation
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