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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
Catharina Tippe; Nadine Cruz Neri; Poldi Kuhl; Jan Retelsdorf – European Journal of Psychology of Education, 2025
Oral explanations (OE) by teachers are one of the most common forms of communication in the classroom to support students' comprehension of subject-specific content. Thus, students have to deal with the language the teachers use in explanations. Research indicates that linguistic features (LF) of texts can influence students' comprehension as they…
Descriptors: Foreign Countries, Oral Language, Classroom Communication, Video Technology
Huili Wang; Shurong Zhang; Xueyan Li; Beixian Gu – Journal of Psycholinguistic Research, 2024
Embodied cognition holds that one's body, actions, perceptions, and situations are integrated into the cognitive process and emphasizes the fact that sensorimotor systems play a role in language comprehension. Previous studies verified the embodied effect in literal language processing but few of them paid attention to metaphors in embodied…
Descriptors: Chinese, Verbs, Language Processing, Reaction Time
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
Babineau, Mireille; Havron, Naomi; Dautriche, Isabelle; de Carvalho, Alex; Christophe, Anne – Language Acquisition: A Journal of Developmental Linguistics, 2023
Young children can exploit the syntactic context of a novel word to narrow down its probable meaning. This is "syntactic bootstrapping." A learner that uses syntactic bootstrapping to foster lexical acquisition must first have identified the semantic information that a syntactic context provides. Based on the "semantic seed…
Descriptors: Syntax, Language Acquisition, Vocabulary Development, Language Processing
Casey, Kennedy; Potter, Christine E.; Lew-Williams, Casey; Wojcik, Erica H. – Developmental Psychology, 2023
Why do infants learn some words earlier than others? Many theories of early word learning focus on explaining how infants map labels onto concrete objects. However, words that are more abstract than object nouns, such as "uh-oh," "hi," "more," "up," and "all-gone," are typically among the first to…
Descriptors: Nouns, Infants, Language Acquisition, Vocabulary Development
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)
Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Elham Ghobain; Amal Aljasser – Journal of Psycholinguistic Research, 2024
The present study examines the impact of implementing video captioning and subtitles on listening comprehension with special reference to the speaker's speed. A total of 64 undergraduate Saudi EFL learners were assigned into six groups: fast speaker with full captioning, fast speaker with subtitles, fast speaker with no captioning nor subtitles,…
Descriptors: Listening Comprehension, Video Technology, English (Second Language), Second Language Learning
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

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