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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
Paredes, Yancy Vance – ProQuest LLC, 2023
Experience, whether personal or vicarious, plays an influential role in shaping human knowledge. Through these experiences, one develops an understanding of the world, which leads to learning. The process of gaining knowledge in higher education transcends beyond the passive transmission of knowledge from an expert to a novice. Instead, students…
Descriptors: Artificial Intelligence, Learning Analytics, Man Machine Systems, Educational Technology
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Jana Gonnermann-Müller; Jule M. Krüger – Journal of Computer Assisted Learning, 2025
Background: Despite the numerous positive effects of augmented reality (AR) on learning, previous research has shown ambiguous results regarding the cognitive demand on the learner arising from, for example, the overlay of virtual elements or novel interaction techniques. At the same time, the number of evidence-based guidelines on designing AR is…
Descriptors: Computer Simulation, Computer Assisted Design, Difficulty Level, Cognitive Processes
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Schmidt, Matthew; Huang, Rui – TechTrends: Linking Research and Practice to Improve Learning, 2022
Increasing interest in user experience design (UXD) in the field of learning design and technology (LDT) signals a growing recognition of the importance of the individual experience of using learning technologies to learning--the learner experience (LX). However, a need exists to better define and conceptualize the phenomenon of learning…
Descriptors: Instructional Design, Educational Technology, Learning Experience, Student Educational Objectives
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Liu, Mengrong; Pang, Weiguo; Guo, Jiajun; Zhang, Yiwen – Education and Information Technologies, 2022
Creativity is essential for the sustainable development of both individuals and organizations. The constant permeation of technology into everyday life is expected to facilitate the cultivation of creativity. To date, no consistent answer has been reached regarding the effect of technology on creativity. This study conducted a three-level…
Descriptors: Meta Analysis, Educational Technology, Multimedia Materials, Creativity
Frank Xavier Gearhart – ProQuest LLC, 2024
Digital systems are pervasive in modern societies -- augmenting personal and commercial driving, detecting cancer, and exploiting transitory events in financial markets. Attacks on these systems are growing in number, sophistication, and impact. Current cyber defenses are proving inadequate against some of these attacks. Cyber defense tools that…
Descriptors: Artificial Intelligence, Information Security, Man Machine Systems, Natural Language Processing
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Musa Adekunle Ayanwale; Rethabile Rosemary Molefi – International Journal of Educational Technology in Higher Education, 2024
The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity of AI application tools, particularly chatbots, in various fields, including education. This research explores the factors influencing undergraduate students' inclination to embrace AI application tools, specifically chatbots, for…
Descriptors: Undergraduate Students, Intention, Student Attitudes, Artificial Intelligence
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Ayfer Sayin; Mark Gierl – Educational Measurement: Issues and Practice, 2024
The purpose of this study is to introduce and evaluate a method for generating reading comprehension items using template-based automatic item generation. To begin, we describe a new model for generating reading comprehension items called the text analysis cognitive model assessing inferential skills across different reading passages. Next, the…
Descriptors: Algorithms, Reading Comprehension, Item Analysis, Man Machine Systems
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Andrew Tawfik; Matthew Schmidt; Linda Payne; Rui Huang – Educational Technology Research and Development, 2024
We report findings from an eDelphi study that aimed to explore 16 expert panelists' perspectives regarding the key attributes of learning experience design (LXD) as it relates to the following: design, disciplines, methods, and theory. Findings suggest consensus was reached regarding LXD's focus on learner-centrism and incorporating human-centered…
Descriptors: Delphi Technique, Learning Experience, Design, Users (Information)
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Song Yang; Ying Dong; Zhong Gen Yu – International Journal of Information and Communication Technology Education, 2024
AI chatbots, e.g. ChatGPT, are becoming increasingly popular in education as a means to enhance student learning experiences and improve teaching efficiency. This study utilizes NVivo 12 Plus to examine the role of AI chatbots in education, ethical considerations, and sentimental analysis regarding the utilization of ChatGPT in education. ChatGPT…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Ethics
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Jose Barambones; Cristian Moral; Angelica de Antonio; Ricardo Imbert; Loic Martinez-Normand; Elena Villalba-Mora – IEEE Transactions on Learning Technologies, 2024
Before interacting with real users, developers must be proficient in human--computer interaction (HCI) so as not to exhaust user patience and availability. For that, substantial training and practice are required, but it is costly to create a variety of high-quality HCI training materials. In this context, chat generative pretrained transformer…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Mediated Communication, Man Machine Systems
Kelsey Hammond; Chelsey Barber – Phi Delta Kappan, 2024
A mastery-based learning model has limited value in secondary English classrooms, particularly as it relates to writing instruction. Kelsey Hammond and Chelsey Barber argue against the focus on standardized benchmarks that are tied to mastery-based models in favor of an approach to writing that is explorative, personal, and imaginative. The rise…
Descriptors: Mastery Learning, Secondary Education, Writing Instruction, Artificial Intelligence
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Yanghee Kim; Jaejin Hwang; Seongmi Lim; Moon-Heum Cho; Sungchul Lee – Interactive Learning Environments, 2024
This research explored if a social robot would play a role in facilitating the development of friendship between young children while they engage in playful learning. Grounded in child-robot interaction and child development literature, we instantiated four sessions of triadic interaction activities among two children and a robot, where the robot…
Descriptors: Kindergarten, Young Children, After School Programs, Robotics
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Lewis J. Baker; Hongyue Li; Hugo Hammond; Christopher B. Jaeger; Anne Havard; Jonathan D. Lane; Caroline E. Harriott; Daniel T. Levin – Cognitive Research: Principles and Implications, 2024
As a wide variety of intelligent technologies become part of everyday life, researchers have explored how people conceptualize agents that in some ways act and think like living things but are clearly machines. Much of this work draws upon the idea that people readily default to generalizing human-like properties to such agents, and only pare back…
Descriptors: Cognitive Processes, Psychological Patterns, Abstract Reasoning, Attribution Theory
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Judit Dombi; Tetyana Sydorenko; Veronika Timpe-Laughlin – Language Learning & Technology, 2024
Although conversation openings and closings are ritualized speech acts (House & Kádár, 2023), they do require interactional work (Schegloff, 1986). Thus, they are important elements of interactional competence (Roever, 2022) and have been studied extensively in L2 interactions, including various types of technology-mediated communication…
Descriptors: English (Second Language), Young Adults, Postsecondary Education, Verbal Communication
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