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Showing 1 to 15 of 24 results Save | Export
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Rubén González Vallejo, Editor – IGI Global, 2025
Artificial intelligence (AI) has been introduced into tools and technologies, such as chatbots, for language teaching, allowing educators to better meet the needs of individual students. Chatbots may act as virtual tutors in online learning environments, giving students the ability to access leaning support as needed. Chatbots can improve…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Intelligent Tutoring Systems, Second Language Instruction
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Eva A. Alfoldi – Journal of Education for Business, 2024
In the COVID-19 era, "Yellowdig" (an online discussion board with social media-like features) has increasingly risen to prominence in higher education. Reflecting on a multi-year experiment involving 14 international business and marketing courses, I argue that Yellowdig remains a valuable tool for learning even after returning to…
Descriptors: Learner Engagement, Interpersonal Relationship, Discussion Groups, Online Courses
Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods
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Fletcher, J. D.; Sottilare, Robert A. – International Journal of Artificial Intelligence in Education, 2018
Teams and teamwork are ubiquitous in military and civilian organizations. Their importance to organizational success cannot be overstated. This article describes the relationship and effect of three concepts: Intelligent Tutoring Systems (ITSs), shared mental models, and teamwork. The nexus between these concepts is examined to determine its…
Descriptors: Teamwork, Teaching Methods, Intelligent Tutoring Systems, Schemata (Cognition)
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Yin, Qinghua; Satar, Müge – International Online Journal of Education and Teaching, 2020
Chatbots, whose potential for language learning have caused controversy among Second Language Acquisition (SLA) researchers (Atwell, 1999; Fryer & Carpenter, 2006; Fryer & Nakao, 2009; Parker, 2005, Coniam, 2014; Jia, 2004; Chantarotwong, 2005) are intelligent conversational systems stimulating human interlocutors with voice or text. In…
Descriptors: English (Second Language), Second Language Learning, Computer Mediated Communication, Content Analysis
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Huang, Jin-Xia; Kwon, Oh-Woog; Lee, Kyung-Soon; Kim, Young-Kil – Research-publishing.net, 2018
This paper presents a chatbot for a Dialogue-Based Computer Assisted Language Learning (DB-CALL) system. The chatbot helps users learn language via free conversations. To improve the chatbot performance, this paper adopts a Neural Machine Translation (NMT) engine to combine with an existing search-based engine, and also extracts a small domain…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Computer Mediated Communication
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Graham, Deryn – E-Learning and Digital Media, 2018
There is a growing prevalence in the use of digital media for education management and international partnerships; however, research continues to reflect the position that the absence of social interaction is a major barrier to a positive on-line learning experience. In 2007, a paper described the application of PESTE (Political, Economic, Social,…
Descriptors: Courseware, Electronic Learning, Educational Administration, Educational Technology
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Dowell, Nia M. M.; Graesser, Arthur C. – Journal of Learning Analytics, 2014
An emerging trend toward computer-mediated collaborative learning environments promotes lively exchanges between learners in order to facilitate learning. Discourse can play an important role in enhancing epistemology, pedagogy, and assessments in these environments. In this paper, we highlight some of our recent work showing the advantages using…
Descriptors: Cognitive Processes, Affective Behavior, Computational Linguistics, Intelligent Tutoring Systems
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Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design
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Cerezo, Luis; Baralt, Melissa; Suh, Bo-Ram; Leow, Ronald P. – Computer Assisted Language Learning, 2014
Currently, an increasing number of educational institutions are redefining second/foreign language (L2) classrooms by enhancing--or even replacing--traditional face-to-face (FTF) instruction with computer-assisted language learning (CALL). However, are these curricular decisions supported by research? Overall, a cursory review of empirical studies…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
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Kennedy, Gregor; Ioannou, Ioanna; Zhou, Yun; Bailey, James; O'Leary, Stephen – Australasian Journal of Educational Technology, 2013
The analysis and use of data generated by students' interactions with learning systems or programs--learning analytics--has recently gained widespread attention in the educational technology community. Part of the reason for this interest is based on the potential of learning analytic techniques such as data mining to find hidden patterns in…
Descriptors: Data Analysis, Interaction, Educational Technology, Data Collection
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Golonka, Ewa M.; Bowles, Anita R.; Frank, Victor M.; Richardson, Dorna L.; Freynik, Suzanne – Computer Assisted Language Learning, 2014
This review summarizes evidence for the effectiveness of technology use in foreign language (FL) learning and teaching, with a focus on empirical studies that compare the use of newer technologies with more traditional methods or materials. The review of over 350 studies (including classroom-based technologies, individual study tools,…
Descriptors: Educational Technology, Teaching Methods, Second Language Instruction, Second Language Learning
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Latham, Annabel; Crockett, Keeley; McLean, David; Edmonds, Bruce – Computers & Education, 2012
This paper proposes a generic methodology and architecture for developing a novel conversational intelligent tutoring system (CITS) called Oscar that leads a tutoring conversation and dynamically predicts and adapts to a student's learning style. Oscar aims to mimic a human tutor by implicitly modelling the learning style during tutoring, and…
Descriptors: Cognitive Style, Teaching Methods, Cognitive Measurement, Prediction
Pontes, Elvis, Ed.; Silva, Anderson, Ed.; Guelfi, Adilson, Ed.; Kofuji, Sergio Takeo, Ed. – InTech, 2012
Chapters in this book include: (1) Factors that Influence Academic Teacher's Acceptance of E-Learning Technology in Blended Learning Environment (Snjezana Babic); (2) Towards Economical E-Learning Educational Environments for Physically Challenged Students (Amir Zeid, Sarah S. Sakit, Noor A. Al-AbdulRazzaq, Mariam M. Al-Tattan, Fatima S. Sakit,…
Descriptors: Educational Environment, Educational Technology, Problem Based Learning, Lifelong Learning
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Huang, Chenn-Jung; Wang, Yu-Wu; Huang, Tz-Hau; Chen, Ying-Chen; Chen, Heng-Ming; Chang, Shun-Chih – Computers & Education, 2011
Recent research indicated that students' ability to construct evidence-based explanations in classrooms through scientific inquiry is critical to successful science education. Structured argumentation support environments have been built and used in scientific discourse in the literature. To the best of our knowledge, no research work in the…
Descriptors: Electronic Learning, Feedback (Response), Persuasive Discourse, Teaching Load
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