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Showing 1 to 15 of 35 results Save | Export
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Qiuyu Zheng; Zengzhao Chen; Mengke Wang; Yawen Shi; Shaohui Chen; Zhi Liu – IEEE Transactions on Learning Technologies, 2024
The rationality and the effectiveness of classroom teaching behavior directly influence the quality of classroom instruction. Analyzing teaching behavior intelligently can provide robust data support for teacher development and teaching supervision. By observing verbal and nonverbal behaviors of teachers in the classroom, valuable data on…
Descriptors: Teacher Behavior, Teacher Student Relationship, Verbal Communication, Nonverbal Communication
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Hitchcock, John H.; Onwuegbuzie, Anthony J. – Journal of Mixed Methods Research, 2020
Onwuegbuzie and Hitchcock (2015) provided an initial framework for conceptualizing and conducting advanced-level mixed analysis approaches. In the present article, we build on these efforts by altering the framework to focus on crossover analyses, which might help analysts see the various component steps that can go into crossover analyses and…
Descriptors: Mixed Methods Research, Models, Ethnography, Data Analysis
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Lee, Yow-jyy – Australian Journal of Applied Linguistics, 2019
Successful oral presentation effectually involves multi-faceted training of listening, writing, and nonverbal delivery besides speaking orally, which calls for a systematic holistic/multimodal approach. However, a multimodal learning environment for fostering EFL learners' presentation development remains virtually unexplored. This study employed…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Foreign Countries
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Blobstein, Ariel; Gal, Kobi; Kim, Hyunsoo Gloria; Facciotti, Marc; Karger, David; Sripathi, Kamali – International Educational Data Mining Society, 2022
Emoji are commonly used in social media to convey attitudes and emotions. While popular, their use in educational contexts has been sparsely studied. This paper reports on the students' use of emoji in an online course forum in which students annotate and discuss course material in the margins of the online textbook. For this study, instructors…
Descriptors: Computer Mediated Communication, Nonverbal Communication, Social Media, Online Courses
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Junokas, M. J.; Lindgren, R.; Kang, J.; Morphew, J. W. – Journal of Computer Assisted Learning, 2018
Gestural recognition systems are important tools for leveraging movement-based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical interactions with computer-assisted learning environments.…
Descriptors: Nonverbal Communication, Multimedia Instruction, Computer Assisted Instruction, Data Analysis
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Letué, Frédérique; Martinez, Marie-José; Samson, Adeline; Vilain, Anne; Vilain, Coriandre – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Repeated duration data are frequently used in behavioral studies. Classical linear or log-linear mixed models are often inadequate to analyze such data, because they usually consist of nonnegative and skew-distributed variables. Therefore, we recommend use of a statistical methodology specific to duration data. Method: We propose a…
Descriptors: Behavioral Science Research, Research Methodology, Statistical Analysis, Repetition
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DeLiema, David; Enyedy, Noel; Steen, Francis; Danish, Joshua A. – Cognition and Instruction, 2021
Gesture is recognized as part of and integral to cognition. The value of gesture for learning is contingent on how it gathers meaning against the ground of other relevant resources in the setting--in short, how the body is laminated onto the surrounding environment. With a focus on lamination, this paper formulates an integrated theory of…
Descriptors: Nonverbal Communication, Human Body, Schemata (Cognition), Spatial Ability
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VanLehn, Kurt; Zhang, Lishan; Burleson, Winslow; Girard, Sylvie; Hidago-Pontet, Yoalli – IEEE Transactions on Learning Technologies, 2017
This project aimed to improve students' learning and task performance using a non-cognitive learning companion in the context of both a tutor and a meta-tutor. The tutor taught students how to construct models of dynamic systems and the meta-tutor taught students a learning strategy. The non-cognitive learning companion was designed to increase…
Descriptors: Metacognition, Learning Strategies, Nonverbal Communication, High School Students
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Hernández, Yasmin; Pérez-Ramírez, Miguel; Zatarain-Cabada, Ramon; Barrón-Estrada, Lucia; Alor-Hernández, Giner – Educational Technology & Society, 2016
Electrical tests involve high risk; therefore utility companies require highly qualified electricians and efficient training. Recently, training for electrical tests has been supported by virtual reality systems; nonetheless, these training systems are not yet adaptive. We propose a b-learning model to support adaptive and distance training. The…
Descriptors: Models, Computer Simulation, Distance Education, Teaching Methods
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Ouwehand, Kim; van Gog, Tamara; Paas, Fred – Educational Technology & Society, 2015
Research suggests that learners will likely spend a substantial amount of time looking at the model's face when it is visible in a video-based modeling example. Consequently, in this study we hypothesized that learners might not attend timely to the task areas the model is referring to, unless their attention is guided to such areas by the model's…
Descriptors: Video Technology, Models, Eye Movements, Nonverbal Communication
Rottmann, Thomas; Peter-Koop, Andrea – Mathematics Education Research Group of Australasia, 2016
This paper introduces a revised model for the development of basic computation skills. The model draws on four key phases, which have proven to be important for the development of calculation strategies and stresses the use of gestures and the verbalisation of concrete and mental images. This seems to be of crucial importance for children with…
Descriptors: Special Needs Students, Elementary School Students, Grade 2, Computation
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Akmanoglu, Nurgul – Educational Sciences: Theory and Practice, 2015
This study aims to examine the effectiveness of teaching naming emotional facial expression via video modeling to children with autism. Teaching the naming of emotions (happy, sad, scared, disgusted, surprised, feeling physical pain, and bored) was made by creating situations that lead to the emergence of facial expressions to children…
Descriptors: Nonverbal Communication, Autism, Emotional Response, Generalization
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Shanahan, Lynn E.; Flury-Kashmanian, Caroline – Pedagogies: An International Journal, 2014
Research and pedagogical information provided to teachers on implementing explicit strategy instruction has primarily focused on teachers' speech, with limited attention to other modes of communication, such as gesture and artefacts. This interpretive case study investigates two teachers' use of different semiotic resources when introducing…
Descriptors: Semiotics, Reading Instruction, Reading Strategies, Elementary School Students
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Hostetter, Autumn B.; Alibali, Martha W. – Journal of Memory and Language, 2010
The Gesture as Simulated Action (GSA) framework (Hostetter & Alibali, 2008) holds that representational gestures are produced when actions are simulated as part of thinking and speaking. Accordingly, speakers should gesture more when describing images with which they have specific physical experience than when describing images that are less…
Descriptors: Nonverbal Communication, Models, Experiments, Speech Communication
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Theobald, Barry-John; Matthews, Iain; Mangini, Michael; Spies, Jeffrey R.; Brick, Timothy R.; Cohn, Jeffrey F.; Boker, Steven M. – Language and Speech, 2009
Nonverbal visual cues accompany speech to supplement the meaning of spoken words, signify emotional state, indicate position in discourse, and provide back-channel feedback. This visual information includes head movements, facial expressions and body gestures. In this article we describe techniques for manipulating both verbal and nonverbal facial…
Descriptors: Nonverbal Communication, Interpersonal Communication, Video Technology, Models
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