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Aaron Stoller; Chris Schacht – Education and Culture, 2024
The emergence of Large Language Models has exposed composition studies' long-standing commitment to Cartesian assumptions that position writing as a nonmaterial, distinctly human activity. This paper develops a naturalized theory of composition grounded in Deweyan pragmatic naturalism that dissolves the nature/culture dualism embedded in…
Descriptors: Writing (Composition), Artificial Intelligence, Natural Language Processing, Writing Processes
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MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
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van Deemter, Kees; Gatt, Albert; van der Sluis, Ielka; Power, Richard – Cognitive Science, 2012
This response discusses the experiment reported in Krahmer et al.'s Letter to the Editor of "Cognitive Science". We observe that their results do not tell us whether the Incremental Algorithm is better or worse than its competitors, and we speculate about implications for reference in complex domains, and for learning from "normal" (i.e.,…
Descriptors: Experiments, Natural Language Processing, Mathematics, Computational Linguistics
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Bruton, Anthony; Lopez, Miguel Garcia; Mesa, Raquel Esquiliche – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2011
References to the term "incidental vocabulary learning" have become very commonplace not only in second language (L2) acquisition research, but also in empirical research into second and foreign language pedagogy, very often in contrast to "intentional language learning". The former term is associated with more natural language…
Descriptors: Second Language Learning, Vocabulary Development, Incidental Learning, Natural Language Processing
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Amaral, Luiz; Meurers, Detmar; Ziai, Ramon – Computer Assisted Language Learning, 2011
Intelligent language tutoring systems (ILTS) typically analyze learner input to diagnose learner language properties and provide individualized feedback. Despite a long history of ILTS research, such systems are virtually absent from real-life foreign language teaching (FLT). Taking a step toward more closely linking ILTS research to real-life…
Descriptors: Feedback (Response), Second Language Learning, Intelligent Tutoring Systems, Information Management
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Amaral, Luiz A.; Meurers, W. Detmar – CALICO Journal, 2009
Error diagnosis in ICALL typically analyzes learner input in an attempt to abstract and identify indicators of the learner's (mis)conceptions of linguistic properties. For written input, this process usually starts with the identification of tokens that will serve as the atomic building blocks of the analysis. In this paper, we discuss the…
Descriptors: Grammar, Computer Assisted Instruction, Identification, Error Analysis (Language)
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Bateman, John; Tenbrink, Thora; Farrar, Scott – Discourse Processes: A Multidisciplinary Journal, 2007
This article argues that a clear division between two sources of information--one oriented to world knowledge, the other to linguistic semantics--offers a framework within which mechanisms for modelling the highly flexible relation between language and interpretation necessary for natural discourse can be specified and empirically validated.…
Descriptors: Semantics, Linguistics, Teaching Methods, Models
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Frank, Robert – Cognitive Science, 2004
Theories of natural language syntax often characterize grammatical knowledge as a form of abstract computation. This paper argues that such a characterization is correct, and that fundamental properties of grammar can and should be understood in terms of restrictions on the complexity of possible grammatical computation, when defined in terms of…
Descriptors: Syntax, Natural Language Processing, Computational Linguistics, Generative Grammar
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Heift, Trude – CALICO Journal, 2007
In examining the titles of this year's conference presentations, the author noticed quite a few papers that focus on learner-specific issues, for instance, papers that address learning styles, learner needs, personality and learning, learner modeling and, more generally, pedagogical issues that deal with individual learner differences in…
Descriptors: Feedback (Response), Computer Assisted Instruction, Educational Technology, Language Processing
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Stone, Matthew – Cognitive Science, 2004
I show how a conversational process that takes simple, intuitively meaningful steps may be understood as a sophisticated computation that derives the richly detailed, complex representations implicit in our knowledge of language. To develop the account, I argue that natural language is structured in a way that lets us formalize grammatical…
Descriptors: Language Usage, Semantics, Intuition, Grammar
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Nerbonne, John; Dokter, Duco; Smit, Petra – Computer Assisted Language Learning, 1998
Reports on GLOSSER, an intelligent assistant for Dutch students learning to read French, and discusses the position of natural-language processing within computer-assisted instruction, using GLOSSER as an example. (Author/VWL)
Descriptors: Computer Assisted Instruction, Dutch, French, Morphology (Languages)
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Pasero, Robert; Sabatier, Paul – Computer Assisted Language Learning, 1998
Describes principles underlying ILLICO, a generic natural-language software tool for building larger applications for performing specific linguistic tasks such as analysis, synthesis, and guided composition. Shows to what extent this approach is relevant to the development of computer-assisted language-learning systems. (Author/VWL)
Descriptors: Computer Assisted Instruction, Computer Software, Natural Language Processing, Second Language Instruction
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Rypa, Marikka Elizabeth; Price, Patti – CALICO Journal, 1999
Describes the Voice Interactive Training System (VILTS), a language-training prototype developed to help improve comprehension and speaking skills. The system incorporates two related technologies: speech recognition and pronunciation scoring. Discusses the motivation for the program, the interdisciplinary efforts involved, and the resulting…
Descriptors: Cognitive Style, Communicative Competence (Languages), Computer Assisted Instruction, Computer Software Evaluation
Crossman, William – 1999
In the 21st century, VIVOs (voice-in/voice-out computers using visual displays but no text) will make written language obsolete. Written language is essentially a technology created 6,000 to 10,000 years ago for storing and retrieving information. VIVOs will perform this same function more easily, efficiently, and universally without requiring…
Descriptors: Access to Information, Computer Mediated Communication, Computer Oriented Programs, Futures (of Society)
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Dodigovic, Marina – CALICO Journal, 1998
In most computer-assisted-language-learning (CALL) projects, research forms an important part of the development process. However, this research frequently goes unnoticed by the academic community, and developers often fail to receive academic recognition for the research component imbedded in their development projects.(Author/ER)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software Development, English (Second Language)