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Showing 1 to 15 of 235 results Save | Export
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Jin, Haeyun; Karatay, Yasin; Bordbarjavidi, Fatemeh; Yang, Junghun; Kochem, Timothy; Muhammad, Ananda Astrini; Hegelheimer, Volker – ReCALL, 2022
Participation in online courses has become essential for training language professionals in under-resourced contexts with skills in computer-assisted language learning (CALL) (Godwin-Jones, 2014). Most online CALL courses use asynchronous computer-mediated communication (ACMC) to facilitate meaningful learning for participants. Although…
Descriptors: Computer Assisted Instruction, Second Language Learning, Electronic Learning, Learner Engagement
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Kärnä, Eija; Dindar, Katja; Hu, Xiaoyi – Interactive Learning Environments, 2020
Technology-enhanced environments are increasingly used to enhance the interaction skills of children with autism spectrum disorder (ASD), yet little is known about how technology use influences interactions between educators and children. This article examined how educators engage with children with ASD in a technology-enhanced learning…
Descriptors: Foreign Countries, Technology Uses in Education, Autism, Pervasive Developmental Disorders
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Cruz, Jehan – International Journal on Social and Education Sciences, 2023
Computer-mediated form of language learning provides the opportunity to engage in meaningful and authentic interaction in the target language. Through interaction and collaboration, learners are said to develop a sense of autonomy (Little, 2001). Studies from the literature show that Japanese learners do not lack the capacity for self-directed…
Descriptors: Second Language Learning, Computer Assisted Instruction, Interaction, English (Second Language)
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Torres-Jimenez, Jose; Lescano, Germán; Lara-Alvarez, Carlos; Mitre-Hernandez, Hugo – Education and Information Technologies, 2023
Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…
Descriptors: Conflict, Identification, Computer Assisted Instruction, Cooperative Learning
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Abe, Makoto – Computer Assisted Language Learning, 2021
Web-based writing tools, which allow multiple writers to share and edit the same document, have attracted significant attention as computer-assisted language learning tools in the past decade. However, how L2 writers contribute to the shared document as a social action for interacting with other cowriters remains underexplored in L2 research.…
Descriptors: Interaction, Interpersonal Competence, Asynchronous Communication, Computer Mediated Communication
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Li, Chenxi; Lewis, Tim – International Journal of Computer-Assisted Language Learning and Teaching, 2018
Negotiation for meaning, in response to instances of non-understanding, plays an important role in SLA. Meaning negotiation routines in face-to-face classroom interactions have been identified by Varonis and Gass. Smith expands the model to adapt it to text chat CMC environments. In the past decade, synchronous audio CMC has become commonly used…
Descriptors: Second Language Learning, Computer Mediated Communication, Synchronous Communication, Electronic Learning
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Matilda Ståhl; Katri Hansell; Sandra Bäck; Mattias Wingren – International Journal of Game-Based Learning, 2025
Playing video games engages children and youth and offers a potential for learning in general and situated language learning in particular. The aim of this paper is to explore the situated conditions and affordances for facilitating in-game interaction, as well as to discuss the language learning potential and educational implications of these…
Descriptors: Video Games, Cooperative Learning, Interaction, Children
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Stojanov, Ana – International Journal of Educational Technology in Higher Education, 2023
ChatGPT, an artificial intelligence language model introduced in November 2022, is potentially applicable in many contexts, including higher education. Although academics are already using it to draft papers or develop search queries for systematic reviews, its use as a tool aiding the learning process has not been examined. To address this…
Descriptors: Technology Uses in Education, Artificial Intelligence, Autobiographies, Ethnography
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Knight, Janine; Barbera, Elena – Electronic Journal of e-Learning, 2018
Fostering learner agency is a primary goal of Integrative Computer Assisted Language Learning, a type of CALL (Warschauer, 1996) that encompasses networked learning and multimedia, including hypermedia. Although navigation has been a focus of attention in some more established CALL scenarios such as Intelligent Computer Assisted Language learning…
Descriptors: Second Language Instruction, Educational Technology, Computer Mediated Communication, English (Second Language)
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Balaman, Ufuk – Language Learning & Technology, 2018
Technology-mediated task settings are rich interactional domains in which second language (L2) learners manage a multitude of interactional resources for task accomplishment. The affordances of these settings have been repeatedly addressed in computer-assisted language learning (CALL) literature mainly based on theory-informed task design…
Descriptors: Computer Assisted Instruction, Educational Technology, Second Language Instruction, Teaching Methods
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Spencer-Smith, Garth; Hardman, Joanne – Computers in the Schools, 2022
This study, conducted in one high-achieving secondary school in a disadvantaged area in the Western Cape province of South Africa, asks whether mathematics teachers alter their "talk" across the face-to-face and computer-based lessons. Data were gathered through video recordings of teacher/student interactions across ten face-to-face and…
Descriptors: Foreign Countries, High Achievement, Secondary Schools, Disadvantaged Schools
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Kuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
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Hwang, Wu-Yuin; Manabe, Kinnosuke; Cai, Dong-Jhe; Ma, Zhao-Heng – Journal of Educational Computing Research, 2020
The aim of this study is to present three contributing factors to kinesthetic learning. This study employed advanced recognition technologies, pedagogical mechanisms, and interesting activity design. First, kinesthetic learning with a speaking accuracy measuring function to facilitate English as foreign language (EFL) learning is proposed. Namely,…
Descriptors: Kinesthetic Methods, Second Language Learning, Second Language Instruction, English (Second Language)
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Lämsä, Joni; Uribe, Pablo; Jiménez, Abelino; Caballero, Daniela; Hämäläinen, Raija; Araya, Roberto – Journal of Learning Analytics, 2021
Scholars have applied automatic content analysis to study computer-mediated communication in computer-supported collaborative learning (CSCL). Since CSCL also takes place in face-to-face interactions, we studied the automatic coding accuracy of manually transcribed face-to-face communication. We conducted our study in an authentic higher-education…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Synchronous Communication, Learning Analytics
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Miriam N. Wallach; Igor' Kontorovich – International Journal of Research in Undergraduate Mathematics Education, 2024
The COVID-19 pandemic shifted higher education online, drawing attention to synchronous learning and instruction on digital communication platforms. Learner-centered teaching practices in the tertiary level, such as mathematical discussions, have been shown to benefit student learning. The interactions involved in online synchronous mathematical…
Descriptors: COVID-19, Pandemics, Learner Controlled Instruction, Electronic Learning
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