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Linden Wang – Education and Information Technologies, 2024
We studied the capability of automated machine translation in the online video education space by automatically translating Khan Academy videos with state-of-the-art translation models and applying text-to-speech synthesis and audio/video synchronization to build engaging videos in target languages. We also analyzed and established two reliable…
Descriptors: Artificial Intelligence, Translation, Natural Language Processing, Educational Technology
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Jered Borup; Richard E. West; Patrick Lowenthal; Leanna Archambault – Open Praxis, 2025
So much depends on online course participants' ability to communicate in ways so that others can perceive their personalities and know that they are "real people." However, the line between the "real" and the "artificial" has been blurred with the rise of generative AI and guidance is needed for integrating generative…
Descriptors: Asynchronous Communication, Interpersonal Relationship, Video Technology, Artificial Intelligence
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Sivakorn Malakul – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) tools have been increasingly utilised in the production of educational media, including animated educational videos (AEVs) incorporating pedagogical agents (PAs). These tools support the efficient creation of multimedia content and reduce teachers' technical workload. Objectives: This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Teacher Attitudes
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Belle Li; Chaoran Wang; Curtis J. Bonk; Xiaojing Kou – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study explores the integration of generative AI, specifically ChatGPT, in self-directed language learning (SDLL) as perceived by YouTube content creators. Through thematic analysis of in-depth interviews with 14 prominent online language educators with related YouTube videos on ChatGPT, the present study investigates: (1) their perceptions of…
Descriptors: Artificial Intelligence, Online Courses, Second Language Instruction, Language Teachers
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Anqi Dou; Wei Xu; Ruijia Liu – International Journal of Distance Education Technologies, 2025
Generative videos for educational purposes have become a cutting-edge tool that uses advanced technology to create dynamic and interactive content. This study aims to conduct a scientometric analysis of generative videos for educational purposes using both VOSviewer and CitNetExplorer. Results and conclusions: The research findings indicate that…
Descriptors: Video Technology, Audiovisual Aids, Artificial Intelligence, Citations (References)
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Manasa Devi, Mortha; Seetha, Maddala; Viswanadha Raju, Somalaraju – Journal of Computing in Higher Education, 2021
Automated text detection and analysis holds incredible potential for research in higher education. It is challenging because higher education institutes produce an enormous amount and variety of texts, letters, articles, books, reports etc. Futuristic E-learning based education replaces the difficulty of understanding the semantic meaning of the…
Descriptors: Online Courses, Higher Education, Video Technology, Educational Technology
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Bhavya, Bhavya; Chen, Si; Zhang, Zhilin; Li, Wenting; Zhai, Chengxiang; Angrave, Lawrence; Huang, Yun – Educational Technology Research and Development, 2022
Captions play a major role in making educational videos accessible to all and are known to benefit a wide range of learners. However, many educational videos either do not have captions or have inaccurate captions. Prior work has shown the benefits of using crowdsourcing to obtain accurate captions in a cost-efficient way, though there is a lack…
Descriptors: Layout (Publications), Video Technology, Accessibility (for Disabled), Cooperation
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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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Shruti Priya; Shubhankar Bhadra; Sridhar Chimalakonda; Akhila Sri Manasa Venigalla – Interactive Learning Environments, 2024
Owing to the predominant role of Machine Learning(ML) across domains, it is being introduced at multiple levels of education, including K-12. Researchers have leveraged games, augmented reality and other ways to make learning ML concepts interesting. However, most of the existing games to teach ML concepts either focus on use-cases and…
Descriptors: Artificial Intelligence, Secondary School Students, Video Games, Visual Aids
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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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Kathleen M. Randolph; Glenna M. Billingsley; Cathy N. Thomas – Journal of Special Education Apprenticeship, 2024
This study investigated the efficacy of two distinct virtual training platforms, TeachLivE™ and Zoom with actors, in preparing preservice practitioners for behavior management in real-world settings. This exploratory study aimed to investigate individual participant skill acquisition and assess which platform better equipped participants with the…
Descriptors: Computer Simulation, Skill Development, Computer Mediated Communication, Educational Technology
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Sebastian Gombert; Aron Fink; Tornike Giorgashvili; Ioana Jivet; Daniele Di Mitri; Jane Yau; Andreas Frey; Hendrik Drachsler – International Journal of Artificial Intelligence in Education, 2024
Various studies empirically proved the value of highly informative feedback for enhancing learner success. However, digital educational technology has yet to catch up as automated feedback is often provided shallowly. This paper presents a case study on implementing a pipeline that provides German-speaking university students enrolled in an…
Descriptors: Automation, Student Evaluation, Essays, Feedback (Response)
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Zhisheng Chen – Interactive Learning Environments, 2024
This study aims to explore how the Metaverse platform could be applied to the field of online education, the benefits it brings, and the challenges posed by the application of Metaverse to online education. The study analyzes the benefits of immersive learning brought about by Metaverse and its potential to save education costs, enhance efficiency…
Descriptors: Technology Uses in Education, Electronic Learning, Artificial Intelligence, Cost Effectiveness
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Vidanaralage, A. J.; Dharmaratne, A. T.; Haque, S. – Australasian Journal of Educational Technology, 2022
Adapting innovative educational technologies to bolster students' academic learning is increasing rapidly. This study explored schema congruent and incongruent participants behaviour when experiencing video-based materials as the medium of learning within the frame of a flipped learning environment. The participants watched an educational learning…
Descriptors: Schemata (Cognition), Psychological Patterns, Emotional Response, Reaction Time
Johann Engelbrecht, Editor; Greg Oates, Editor; Marcelo de Carvalho Borba, Editor – Springer, 2025
This edited volume gathers contributions from international scholars focusing on social media's role and impact on mathematics education. Social media's integration into pedagogical strategies (from social networking sites to video-sharing platforms) offers the opportunity to enhance learning by fostering connectivity and engagement among…
Descriptors: Mathematics Education, Social Media, Peer Teaching, Cooperative Learning
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