Publication Date
In 2025 | 21 |
Since 2024 | 61 |
Since 2021 (last 5 years) | 111 |
Since 2016 (last 10 years) | 135 |
Descriptor
Artificial Intelligence | 135 |
Video Technology | 135 |
Technology Uses in Education | 43 |
Foreign Countries | 40 |
Educational Technology | 38 |
Teaching Methods | 34 |
Online Courses | 30 |
Student Attitudes | 24 |
Computer Simulation | 22 |
Computer Software | 21 |
Social Media | 20 |
More ▼ |
Source
Author
Belle Li | 2 |
Chaoran Wang | 2 |
Chenghao Wang | 2 |
Curtis J. Bonk | 2 |
Frank, Jennifer | 2 |
Heffernan, Neil T. | 2 |
Huang, Nen-Fu | 2 |
Jie Bai | 2 |
Kelly, Kim | 2 |
Lee, Chia-An | 2 |
Lee, Tsan-Kuang | 2 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 6 |
Researchers | 5 |
Practitioners | 3 |
Students | 3 |
Policymakers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
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
Lei Deng – International Journal of Web-Based Learning and Teaching Technologies, 2025
As science and technology advance rapidly, video semantic understanding (VSU) technology has made significant strides. This technology has garnered widespread recognition within the music industry and piqued the interest of film and television music creators. In the realm of film music creation, VSU technology serves as a powerful tool,…
Descriptors: Video Technology, Artificial Intelligence, Films, Television
Stephen J. Lind – Journal of Workplace Learning, 2025
Purpose: This study aims to investigate the effectiveness of widely adopted but under-studied synthetic humanlike spokespersons (SHS) compared to organic human spokespersons in workplace training videos. The primary aim is to evaluate whether employees will rate training videos more negatively when they perceive their trainer to be synthetic such…
Descriptors: Job Training, Trainees, Artificial Intelligence, Video Technology
Alison M. O'Connor; Jennifer Gongola; Kaila C. Bruer; Thomas D. Lyon; Angela D. Evans – Applied Cognitive Psychology, 2025
The accurate detection of children's truthful and dishonest reports is essential as children can serve as important providers of information. Research using automated facial coding and machine learning found that children who were asked to lie about an event were more likely to look surprised when hearing the first question during an interview…
Descriptors: Deception, Nonverbal Communication, Recognition (Psychology), Children
Jinglei Yu; Shengquan Yu; Ling Chen – British Journal of Educational Technology, 2025
Video-based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve…
Descriptors: Artificial Intelligence, Peer Evaluation, Feedback (Response), Reflection
Ghosh, Krishnendu; Nangi, Sharmila Reddy; Kanchugantla, Yashasvi; Rayapati, Pavan Gopal; Bhowmick, Plaban Kumar; Goyal, Pawan – International Journal of Artificial Intelligence in Education, 2022
Video lectures are considered as one of the primary media to cater good-quality educational content to the learners. The video lectures illustrate the course-relevant concepts with necessary details. However, they sometimes fail to offer a basic understanding of off-topic concepts. Such off-topic concepts may spawn cognitive overload among the…
Descriptors: Video Technology, Concept Formation, Artificial Intelligence, Lecture Method
Goldstein, Yoav; Legewie, Nicolas M.; Shiffer-Sebba, Doron – Sociological Methods & Research, 2023
Video data offer important insights into social processes because they enable direct observation of real-life social interaction. Though such data have become abundant and increasingly accessible, they pose challenges to scalability and measurement. Computer vision (CV), i.e., software-based automated analysis of visual material, can help address…
Descriptors: Artificial Intelligence, Data Analysis, Interpersonal Relationship, Social Science Research
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
Chenghao Wang; Bin Zou – TESOL Journal, 2025
Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Uses in Education, Second Language Instruction
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
Yousef, Ahmed M.; Deliyski, Dimitar D.; Zacharias, Stephanie R. C.; de Alarcon, Alessandro; Orlikoff, Robert F.; Naghibolhosseini, Maryam – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Voice disorders are best assessed by examining vocal fold dynamics in connected speech. This can be achieved using flexible laryngeal high-speed videoendoscopy (HSV), which enables us to study vocal fold mechanics with high temporal details. Analysis of vocal fold vibration using HSV requires accurate segmentation of the vocal fold edges.…
Descriptors: Voice Disorders, Speech, Video Technology, Equipment
Huiying Cai; Linmeng Lu; Bing Han; Lung-Hsiang Wong; Xiaoqing Gu – Educational Technology Research and Development, 2025
The potential of classroom videos to enhance reflective practices in pre-service teacher education is hindered by the sheer volume of captured activities. An AI-powered teacher dashboard could address this challenge by analyzing and visualizing information extracted from these videos, supporting reflection in video-based professional learning…
Descriptors: Preservice Teachers, Reflection, Artificial Intelligence, Technology Uses in Education
Rustam Shadiev; Xun Wang; Xuan Chen; Elena Gayevskaya; Nikolay Borisov – Education and Information Technologies, 2024
Recent evidence suggests that not many studies on technology-supported cross-cultural learning considered creating authentic, immersive learning environments and addressing the language barrier in communication among representatives of different cultures which are very critical matters in the field. The present study attempted to address this gap.…
Descriptors: Learning Activities, Technology Uses in Education, Translation, Student Attitudes
Ho Young Yoon; Seokmin Kang; Sungyeun Kim – Journal of Computer Assisted Learning, 2024
Background: Research into enhancing the effectiveness of information delivery in asynchronous video lectures remains sparse. This study analyzes the nonverbal teaching behaviours in asynchronous online videos, drawing comparisons between pre-service and in-service teachers (ITs). Objectives: This research primarily aims to juxtapose the nonverbal…
Descriptors: Asynchronous Communication, Video Technology, Lecture Method, Nonverbal Communication
Tao Xu; Yuan Liu; Yaru Jin; Yueyao Qu; Jie Bai; Wenlan Zhang; Yun Zhou – British Journal of Educational Technology, 2025
Generative AI (GAI) and AI-generated content (AIGC) have been increasingly involved in our work and daily life, providing a new learning experience for students. This study examines whether AI-generated instructional videos (AIIV) can facilitate learning as effectively as traditional recorded videos (RV). We propose an instructional video…
Descriptors: Artificial Intelligence, Video Technology, Audiovisual Aids, Audiovisual Instruction