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Showing 1 to 15 of 23 results Save | Export
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
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Moreno, Jesús del Carmen Manjarrez – MEXTESOL Journal, 2022
This paper is focused on one of the most common and basic ways of processing corpus information; concordance, and how it can be used in the classroom to offer language learners useful vocabulary that they would face in genuine conversations and help them detect language patterns as this ability helps them with their learning process. In addition,…
Descriptors: Computational Linguistics, Teaching Methods, Second Language Learning, Second Language Instruction
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Olsen, Joe; Lew, Kristen; Weber, Keith – Educational Studies in Mathematics, 2020
The metaphors that students form and encounter have been shown to exert a powerful influence on how they think about mathematics. In this paper, we explore the linguistic metaphors about learning and doing mathematics that were prevalent in 11 advanced mathematics lectures. We present four metaphor clusters that were common in the corpus that we…
Descriptors: Advanced Courses, Mathematics Instruction, Figurative Language, Computational Linguistics
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Abdu Al-Kadi; Jamal Kaid Mohammed Ali – Language Teaching Research Quarterly, 2024
Artificial Intelligence (AI) has penetrated English language learning and teaching, and this penetration parallels a surge of research on its potential and challenges for learners and teachers altogether. This paper provides a glimpse of the status quo of generative (Gen) AI in contexts where English is not used natively. Adopting a holistic…
Descriptors: Artificial Intelligence, Computer Software, Independent Study, Teaching Methods
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Collins, Laura; Ruivivar, June – Language Teaching, 2021
We propose five research tasks targeting grammar teaching and learning, focusing on extending previous research and exploring under-studied features and contexts. The first two tasks outline replications and extensions of seminal studies on pedagogical grammar, Toth (2008) and Samuda (2001), designed to advance our understanding of the teacher…
Descriptors: Second Language Learning, Second Language Instruction, Grammar, Teaching Methods
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Absalom, Matt – Research-publishing.net, 2021
Using a corpora approach involves using a series of texts in the language under study as a type of corpus on which to base acquisition. Languages in all forms (written, spoken, performed, formal, informal, etc.) are captured all the time through online and digital platforms, apps, etc. making them highly accessible. Applying corpora in teaching…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, Teaching Methods
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Nina Spada – Language Learning & Language Teaching, 2024
This volume presents the second edition of the "Communicative Orientation of Language Teaching (COLT) Observation Scheme." Since the book's original publication, COLT has become well established as a research instrument in L2 teaching and learning. This new edition brings COLT into the 21st century by introducing digital versions of the…
Descriptors: Second Language Learning, Second Language Instruction, Web Based Instruction, Teaching Methods
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Zorislav Šojat; Gordana Gredicak Šojat – International Society for Technology, Education, and Science, 2023
The sudden, unexpected breakthrough in the intelligence shown by machines, as a wished for, but very disruptive element, will shape the future of our civilisation and Humans as individuals and collectives. The extreme drive towards commercialisation of newest developments already led to an extremely wide spread of Machine Intelligence Assistants…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Morale
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Ellis, Nick C. – Modern Language Journal, 2019
Cognition is not just 'in the head'; it extends well beyond the skull and the skin. Non-Cartesian Cognitive Science views cognition as being embodied, environmentally embedded, enacted, encultured, and socially distributed. The Douglas Fir Group (2016) likewise recognizes languages as emergent, social, integrated phenomena. Language is the…
Descriptors: Cognitive Processes, Cognitive Science, Second Language Learning, Second Language Instruction
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Godwin-Jones, Robert – Language Learning & Technology, 2021
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…
Descriptors: Data Collection, Academic Achievement, Learning Analytics, Computer Assisted Instruction
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Rastelli, Stefano – Language Acquisition: A Journal of Developmental Linguistics, 2019
The Discontinuity Model (DM) described in this article proposes that adults can learn part of L2 morphosyntax twice, in two different ways. The same item can be learned as the product of generation by a rule or as a modification of a template already stored in memory. These learning modalities, which are often seen as opposed in language theory,…
Descriptors: Adults, Second Language Learning, Language Acquisition, Linguistic Theory
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Klekovkina, Vera; Denié-Higney, Laurence – L2 Journal, 2022
Machine translation (MT) provides a seemingly accelerated alternative way to communicate in the target language (L2). A convenient service to the public, MT renders a potential disservice to language learners. In this pedagogically focused article, we show concrete and detailed examples of how language instructors can turn MT and other electronic…
Descriptors: Translation, Computational Linguistics, Interdisciplinary Approach, Writing Instruction
Office of Educational Technology, US Department of Education, 2024
The U.S. Department of Education is committed to supporting innovative advances in educational technology to improve teaching and learning across the nation's education systems and to support educators as they incorporate emerging technology into their learning communities. Artificial Intelligence (AI) in education is a complex and rapidly…
Descriptors: Equal Education, Artificial Intelligence, Computer Software, Technology Integration
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Dinneen, Cara – English Australia Journal, 2021
This article considers the challenges heralded by digital technology in relation to the management of academic integrity on high-stakes Direct Entry English Programs in Australia. Firstly, a number of the ways in which students are using digital tools to complete assignment writing are examined. Secondly, findings from a review of academic…
Descriptors: Phrase Structure, Integrity, Barriers, Information Technology
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Bashir, Ibrahim; Yunus, Kamariah; Ibrahim, Bashir – Arab World English Journal, 2018
Corpus linguistics is a new branch of linguistics but its status is still debatable - either as a theory or a methodology. This article aims to give an overview of the different approaches and perspectives of corpus linguistics. The neo-Firthians contend that corpus linguistics is a method, while other prominent corpus linguists claim that it is a…
Descriptors: Computational Linguistics, Second Language Learning, Second Language Instruction, English (Second Language)
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