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Showing 1 to 15 of 494 results Save | Export
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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
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Jacob Beautemps; André Bresges; Sebastian Becker-Genschow – Journal of Science Education and Technology, 2025
This study investigates the impact of different animation styles on learning outcomes in physics, with a focus on explanations of the seasons. Using a combination of pre-post performance tests and eye tracking, we compared animations featuring a presenter with pure animations without a person in the frame. The sample consisted of students from a…
Descriptors: Electronic Learning, Animation, Video Technology, Technology Uses in Education
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Thao Pham; Wu-Yuin Hwang; Xuan-Lam Pham – Journal of Computer Assisted Learning, 2024
Background: Examining student attention in physical classrooms is crucial, but it faces challenges due to the lack of accurate monitoring. Constraints posed by device limitations and the design of educational materials impede the integration of eye-tracking technology in these settings. Objectives: This study aims to (1) develop a wearable…
Descriptors: Attention, Eye Movements, Physical Environment, Classroom Environment
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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
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Marta Casla; Ana Moreno-Núñez; Florencia Alam; Celia Rosemberg – Language and Education, 2025
When interacting with young children, adults often self-repeat their own utterances that vary in sequences of adjacent utterances called variation sets (VS) (Küntay and Slobin 1996). These repetitions benefit children's linguistic development because they emphasize form and meaning. This paper analyzes the use of VS during group interaction and…
Descriptors: Toddlers, Language Acquisition, Video Technology, Preschool Teachers
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Xiaoqi Shang; Guixia Xie – Interpreter and Translator Trainer, 2024
Visual access has long been considered crucial for interpreters, providing essential kinesic cues such as gaze and facial expressions that enhance understanding and emphasis. Despite its acknowledged importance, empirical studies examining the impact of visual access on interpreters' performance remain limited. To date, conclusive evidence…
Descriptors: Translation, Chinese, English (Second Language), Visual Aids
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Wenjing Li; Ziyi Kuang; Xiaoxue Leng; Richard E. Mayer; Fuxing Wang – Educational Psychology Review, 2024
Although gesturing onscreen instructors are widely included in video lectures, it is still unclear whether, when, and how they are conducive to learning. To clarify this issue, we conducted a set of three-level meta-analyses of 662 effect sizes from 83 articles, spanning Web of Science, PsycINFO, ERIC, Education Research Complete, ProQuest…
Descriptors: Nonverbal Communication, Video Technology, Educational Technology, Teacher Behavior
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Ridwan Whitehead; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2025
Incorporating non-verbal data streams is essential to understanding the dynamics of interaction within collaborative learning environments in which a variety of verbal and non-verbal modes of communication intersect. However, the complexity of non-verbal data -- especially gathered in the wild from collaborative learning contexts -- demands…
Descriptors: Case Studies, Nonverbal Communication, Video Technology, Data Analysis
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Pi, Zhongling; Liu, Caixia; Meng, Qian; Yang, Jiumin – International Journal of Educational Technology in Higher Education, 2022
Learning from video lectures is becoming a prevalent learning activity in formal and informal settings. However, relatively little research has been carried out on the interactions of learning strategies and social environment in learning from video lectures. The present study addresses this gap by examining whether learner-generated explanations…
Descriptors: Positive Reinforcement, Video Technology, Lecture Method, Nonverbal Communication
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Towers, Jo; Markle, Josh; Jacinto, Everton – Canadian Journal of Science, Mathematics and Technology Education, 2023
In this paper, we introduce a new interpretive framework, which we call Bodymarking, to aid in describing and interpreting activity (e.g., individuals' gestures, gaze, and interaction with materials in the environment) in the classroom. We apply the framework to video recordings of mathematics lessons to explain how it can be used and offer some…
Descriptors: Guidelines, Video Technology, Mathematics Instruction, Teaching Methods
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Ishino, Tatsuya; Goto, Mitsuhiro; Kashihara, Akihiro – Research and Practice in Technology Enhanced Learning, 2022
In lectures with presentation slides such as an e-learning lecture on video, it is important for lecturers to control their non-verbal behavior involving gaze, gesture, and paralanguage. However, it is not so easy even for well-experienced lecturers to properly use non-verbal behavior in their lecture to promote learners' understanding. This paper…
Descriptors: Robotics, Lecture Method, Electronic Learning, Video Technology
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Guarin, Diego L.; Taati, Babak; Abrahao, Agessandro; Zinman, Lorne; Yunusova, Yana – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Facial movement analysis during facial gestures and speech provides clinically useful information for assessing bulbar amyotrophic lateral sclerosis (ALS). However, current kinematic methods have limited clinical application due to the equipment costs. Recent advancements in consumer-grade hardware and machine/deep learning made it…
Descriptors: Video Technology, Nonverbal Communication, Diseases, Neurological Impairments
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Zhongling Pi; Renjia Liu; Hongjuan Ling; Xingyu Zhang; Shuo Wang; Xiying Li – Interactive Learning Environments, 2024
A video lecture instructor exhibiting positive emotion has been shown to induce similar emotions in students, improving the students' motivation and increasing their attention, thus improving their learning performance. However, little systematic research exists on which specific design features with regards to the instructor can induce such…
Descriptors: Foreign Countries, Undergraduate Students, Nonverbal Communication, Affective Behavior
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Alexander Boyev; Irina Rabaev; Nitzan Cohen; Hadas Chassidim – Journal of Developmental and Physical Disabilities, 2025
Augmentative and Alternative Communication (AAC) describes different ways to communicate that supplement or compensate for the impairment of individuals with complex communication needs. AAC can utilize computerized devices, with visual scene display (VSD) or video visual scene display (VVSD) as a communication mode. Recent literature…
Descriptors: Adults, Autism Spectrum Disorders, Augmentative and Alternative Communication, Communication Disorders
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Simsek, Bilal – International Education Studies, 2023
The aim of this research is to examine the language usage of Twitch tv users in the context of Turkish education. The data of the study, which is descriptive qualitative research, were collected from the chat message of three streamers who produced the most watched Turkish programs aired on Twitch tv. The number of viewer messages analysed in the…
Descriptors: Content Analysis, Language Usage, Social Media, Video Technology
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