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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
Yu Xiong; Shengyi Chen; Ting Cai; Lulu Chen; Jun Li – International Educational Data Mining Society, 2025
Teacher gesture recognition aims to identify and interpret teacher gestures within academic settings. It has been applied in domains such as teaching performance evaluation, the optimization of online education, and special needs education. However, the background similarity of teacher gestures, the inter-class similarity, and the intra-class…
Descriptors: Artificial Intelligence, Natural Language Processing, Nonverbal Communication, Classroom Communication
Rong Yaojun; Kizito Tekwa – Education and Information Technologies, 2025
Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Captions, Video Technology
Xiaoyan Shi – International Journal of Web-Based Learning and Teaching Technologies, 2024
In order to avoid students' negative learning mood, contemporary teachers are required to abandon the application of spoon-feeding teaching method in English classroom teaching, adopt micro-class teaching method, highlight the teaching characteristics of being close to the people, and create an efficient, short, and special teaching space to meet…
Descriptors: Video Technology, Natural Language Processing, Captions, Technology Uses in Education
Tschisgale, Paul; Wulff, Peter; Kubsch, Marcus – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical Examination.] Qualitative research methods have provided key insights in physics education research (PER) by drawing on non-numerical data such as text or video data. While different methods towards qualitative research exist, they share two essential steps:…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Grounded Theory
Anila Virani; Ahsan Mollani; Piper Jackson – Knowledge Management & E-Learning, 2025
Social media data has the potential to enable the exploration of public perspectives on health conditions, interventions and policies. However, the resource-intensive nature of qualitative analysis creates a barrier to the timely utilization of social media data. Artificial intelligence can provide innovative ways to reduce the burden by…
Descriptors: Artificial Intelligence, Natural Language Processing, Social Media, Public Health
Jonathan K. Foster; Peter Youngs; Rachel van Aswegen; Samarth Singh; Ginger S. Watson; Scott T. Acton – Journal of Learning Analytics, 2024
Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…
Descriptors: Learning Analytics, Automation, Classification, Artificial Intelligence
Seyedahmad Rahimi; Justice T. Walker; Lin Lin-Lipsmeyer; Jinnie Shin – Creativity Research Journal, 2024
Digital sandbox games such as "Minecraft" can be used to assess and support creativity. Doing so, however, requires an understanding of what is deemed creative in this game context. One approach is to understand how Minecrafters describe creativity in their communities, and how much those descriptions overlap with the established…
Descriptors: Creativity, Video Games, Computer Games, Evaluation Methods
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)
Jia Tracy Shen; Michiharu Yamashita; Ethan Prihar; Neil Heffernan; Xintao Wu; Sean McGrew; Dongwon Lee – Grantee Submission, 2021
Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers. However, manually labeling educational content is labor intensive and error-prone. To address this challenge, prior research proposed machine learning based solutions to auto-label educational content with limited success.…
Descriptors: Mathematics Education, Knowledge Level, Video Technology, Educational Technology
Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
Akemoglu, Yusuf; Hinton, Vanessa; Laroue, Dayna; Jefferson, Vanessa – Journal of Early Intervention, 2022
We describe a study of the internet-based Parent-Implemented Communication Strategies--Storybook (i-PiCSS), an intervention designed to train and coach parents to use evidenced-based naturalistic communication teaching (NCT) strategies (i.e., modeling, mand-model, and time delay) and RTs while reading storybooks with their young children with…
Descriptors: Internet, Natural Language Processing, Parent Education, Communication Skills
Jinnie Shin; Renu Balyan; Michelle P. Banawan; Tracy Arner; Walter L. Leite; Danielle S. McNamara – Grantee Submission, 2023
Despite the proliferation of video-based instruction and its benefits--such as promoting student autonomy and self-paced learning--the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital teaching methodologies. As such, there's a pressing need to examine and comprehend the…
Descriptors: Algebra, Mathematics Instruction, Video Technology, Personal Autonomy
Xiaoming Zhai, Editor; Joseph Krajcik, Editor – Oxford University Press, 2025
In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…
Descriptors: Artificial Intelligence, STEM Education, Technology Uses in Education, Educational Technology
Kappagantula, Sri Rama Kartheek; Adamo-Villani, Nicoletta; Wu, Meng-Lin; Popescu, Voicu – IEEE Transactions on Learning Technologies, 2020
We present a system that automatically generates deictic gestures for animated pedagogical agents (APAs). The system takes audio and text as input, which define what the APA has to say, and generates animated gestures based on a set of rules. The automatically generated gestures point to the exact locations of elements on a whiteboard nearby the…
Descriptors: Animation, Nonverbal Communication, Lecture Method, Video Technology
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