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Tsung-Ying Chen – Journal of Psycholinguistic Research, 2024
Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…
Descriptors: Artificial Intelligence, Grammar, Computer Software, Handheld Devices
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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
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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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Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
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Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira – Interactive Technology and Smart Education, 2012
Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…
Descriptors: Electronic Learning, Student Needs, Cognitive Style, Internet
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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
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Khosrow-Pour, Mehdi, Ed. – IGI Global, 2014
The rise of technology within educational settings has allowed for a substantial shift in the way in which educators teach learners of all ages. In order to implement these new learning tools, school administrators and teachers alike must seek new research outlining the latest innovations in the field. "Educational Technology Use and Design…
Descriptors: Educational Technology, Technology Uses in Education, Adult Learning, Blended Learning
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Laffey, James; Amelung, Chris; Goggins, Sean – International Journal on E-Learning, 2009
A design based research strategy examining the impressions and behavior of members of courses taught entirely online is used for refining a context-aware activity notification system (CANS). The findings show that CANS must address substantial variety in courses and members while also fitting with multitasking between online and real world…
Descriptors: Context Effect, Interpersonal Relationship, Higher Education, Computer Mediated Communication
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Scheuer, Oliver; Loll, Frank; Pinkwart, Niels; McLaren, Bruce M. – International Journal of Computer-Supported Collaborative Learning, 2010
Argumentation is an important skill to learn. It is valuable not only in many professional contexts, such as the law, science, politics, and business, but also in everyday life. However, not many people are good arguers. In response to this, researchers and practitioners over the past 15-20 years have developed software tools both to support and…
Descriptors: Feedback (Response), Persuasive Discourse, Literature Reviews, Cooperative Learning
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Lavoue, Elise; George, Sebastien; Prevot, Patrick – Behaviour & Information Technology, 2012
In this article, we present a co-adaptive design approach named TE-Cap (Tutoring Experience Capitalisation) that we applied for the development of an assistance environment for tutors. Since tasks assigned to tutors in educational contexts are not well defined, we are developing an environment which responds to needs which are not precisely…
Descriptors: Foreign Countries, Tutors, Tutoring, College Faculty
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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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Li, Liang-Yi; Chen, Gwo-Dong – Educational Technology & Society, 2009
Students can practice skills and acquire knowledge by doing coursework. However, in conventional coursework activities, each student is assigned the same exercises, without considering learners' diversity. Moreover, students typically have difficulty in receiving assistance for completing their exercises after class. Therefore, some students…
Descriptors: Foreign Countries, Undergraduate Study, Computer Science Education, Intelligent Tutoring Systems
Caballe, Santi, Ed.; Xhafa, Fatos, Ed.; Daradoumis, Thanasis, Ed.; Juan, Angel A., Ed. – Information Science Reference, 2009
Over the last decade, the needs of educational organizations have been changing in accordance with increasingly complex pedagogical models and with the technological evolution of e-learning environments with very dynamic teaching and learning requirements. This book explores state-of-the-art software architectures and platforms used to support…
Descriptors: Electronic Learning, School Activities, Field Studies, Educational Technology
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Andersson, David; Reimers, Karl – Journal of Educational Technology, 2010
The field of education is experiencing a rapid shift as internet-enabled distance learning becomes more widespread. Often, traditional classroom teaching pedagogical techniques can be ill-suited to the online environment. While a traditional entry-level class might see a student attrition rate of 5-10%, the same teaching pedagogy in an online…
Descriptors: Computer Software, Computer Oriented Programs, Online Courses, Electronic Learning
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Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
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