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Showing 1 to 15 of 25 results Save | Export
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Sarah Jerasa; Sarah K. Burriss – English Teaching: Practice and Critique, 2024
Purpose: Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they…
Descriptors: Artificial Intelligence, Social Media, Algorithms, Writing (Composition)
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Cihan Orak; Zeynep Turan – Journal of Educational Technology and Online Learning, 2024
Advancements in artificial intelligence (AI) have tailored computer systems to meet user needs, thereby enhancing user experience. The application of AI technology in the production of digital videos, particularly in education, is becoming increasingly prevalent. This study aims to explore trends in the use of AI technology for digital video…
Descriptors: Artificial Intelligence, Video Technology, Literature Reviews, Trend Analysis
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Jie Bai; Xiulan Cheng; Hui Zhang; Yihang Qin; Tao Xu; Yun Zhou – Education and Information Technologies, 2025
The advancement of AI-generated content (AIGC) has made creating pedagogical agents (PAs) for multimedia learning increasingly realistic, simpler, and more efficient. However, little is known about the acceptance of AI-generated pedagogical agents (AIPAs) in picture book videos among young children aged 3-6. To address this, the present study…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Picture Books
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Kashyap, Ramgopal, Ed.; Kumar, A. V. Senthil, Ed. – IGI Global, 2020
Machine learning allows for non-conventional and productive answers for issues within various fields, including problems related to visually perceptive computers. Applying these strategies and algorithms to the area of computer vision allows for higher achievement in tasks such as spatial recognition, big data collection, and image processing.…
Descriptors: Artificial Intelligence, Man Machine Systems, Video Technology, Computer Uses in Education
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Selay Arkün-Kocadere; Seyma Çaglar-Özhan – International Review of Research in Open and Distributed Learning, 2024
Via AI video generators, it is possible to create educational videos with humanistic instructors by simply providing a script. The characteristics of video types and features of instructors in videos impact video engagement and, consequently, performance. This study aimed to compare the impact of human instructors and AI-generated instructors in…
Descriptors: Video Technology, Lecture Method, Artificial Intelligence, Animation
Devon M. Christman – ProQuest LLC, 2024
Computer use has become a fact of life, especially for children, many of whom were forced to switch to online learning during the COVID-19 pandemic and resorted to digital hobbies as a safety measure. Further the amount of time children spend on computers, as well as the number of different computer devices that pervade our post-pandemic society…
Descriptors: Computer Software, Computer Use, Information Technology, Cognitive Science
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de Souza Vieira, Alex; Ribeiro Filho, Manoel; de Salles Soares Neto, Carlos – IEEE Transactions on Education, 2021
Contribution: This work presents a teaching and learning process for human-computer interaction (HCI) courses, combining traditional lecture-based classroom (TLBC), active learning (AL) and project-based learning elements, such that students can increase their understanding over HCI. Background: In undergraduate science computing, the academic…
Descriptors: Undergraduate Students, Computer Science Education, Man Machine Systems, Courses
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Castro, Robin – Education and Information Technologies, 2019
Education is a complex system that requires multiple perspectives and levels of analysis to understand its contexts, dynamics, and actors' interactions, particularly concerning technological innovations. This paper aims to identify some of the most promising trends in blended learning implementations in higher education, the capabilities provided…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Higher Education
Kappagantula, Sri Rama Kartheek – ProQuest LLC, 2018
The presence of Animated Pedagogical Agents (APAs) in education is increasing day-by-day. They are being used in online courses as well as research studies. Therefore, there is a need to study ways in which lectures can quickly be created using APAs. Gestures are an inseparable part of an APA's communication with users. Gestures generated…
Descriptors: Animation, Educational Technology, Technology Uses in Education, Nonverbal Communication
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Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko – British Journal of Educational Technology, 2020
Tracking students' learning states to provide tailored learner support is a critical element of an adaptive learning system. This study explores how an automatic assessment is capable of tracking learners' cognitive and emotional states during virtual reality (VR)-based representational-flexibility training. This VR-based training program aims to…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Learning Processes
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Godwin-Jones, Robert – Educational Technology & Society, 2019
The rapid developments today in artificial intelligence (AI), supported by massive language data collection, are resulting in ever better digital language assistance/translation. Advances in the capabilities of intelligent services lead naturally to envisioning a future where there might be a quite different context for second language (L2) use…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Instruction, Second Language Learning
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Ju, Boryung; Albertson, Dan – Information Research: An International Electronic Journal, 2018
Introduction: This study examines the effects of certain key factors on users' intention to ultimately adopt and use video digital libraries for facilitating their information needs. The individual factors identified for this study, based on their given potential to influence use and acceptance of video digital libraries, were categorised for data…
Descriptors: Electronic Libraries, Video Technology, Use Studies, Users (Information)
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Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
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Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology
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Harteis, Christian, Ed. – Professional and Practice-based Learning, 2018
This edited volume brings together researchers from various disciplines (i.e. education, psychology, sociology, economy, information technology, engineering) discussing elementary changes at workplaces occurring through digitalization, and reflecting on educational challenges for individuals, organizations, and society. The latest developments in…
Descriptors: Computer Use, Change, Work Environment, Information Technology
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