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Showing 1 to 15 of 25 results Save | Export
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Li, Ping; Xu, Qihui – Language Learning, 2023
The last two decades have seen a significant amount of interest in bilingual language learning and processing. A number of computational models have also been developed to account for bilingualism, with varying degrees of success. In this article, we first briefly introduce the significance of computational approaches to bilingual language…
Descriptors: Bilingualism, Computational Linguistics, Second Language Learning, Second Language Instruction
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Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
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Sonderegger, Stefan – International Association for Development of the Information Society, 2022
The use of social robots in education is a growing area of research and the potential future applications are various. However, the conversational models behind current social robots and chatbot systems often rely on rule-based and retrieval-based methods. This limits the social robot to predefined responses and topics, thus hindering it from…
Descriptors: Robotics, Teaching Methods, Learning Processes, Models
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Howitt, Katherine; Dey, Soumik; Sakas, William Gregory – Language Acquisition: A Journal of Developmental Linguistics, 2021
In this article, we propose a reconceptualization of the principles and parameters (P&P) framework. We argue that in lieu of discrete parameter values, a parameter value exists on a gradient plane that encodes a learner's confidence that a particular parametric structure licenses the utterances in the learner's linguistic input. Crucially,…
Descriptors: Linguistic Theory, Language Acquisition, Computational Linguistics, Guidelines
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Cruz Blandón, María Andrea; Cristia, Alejandrina; Räsänen, Okko – Cognitive Science, 2023
Computational models of child language development can help us understand the cognitive underpinnings of the language learning process, which occurs along several linguistic levels at once (e.g., prosodic and phonological). However, in light of the replication crisis, modelers face the challenge of selecting representative and consolidated infant…
Descriptors: Meta Analysis, Infants, Language Acquisition, Computational Linguistics
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McClelland, James L. – First Language, 2020
Humans are sensitive to the properties of individual items, and exemplar models are useful for capturing this sensitivity. I am a proponent of an extension of exemplar-based architectures that I briefly describe. However, exemplar models are very shallow architectures in which it is necessary to stipulate a set of primitive elements that make up…
Descriptors: Models, Language Processing, Artificial Intelligence, Language Usage
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Halpern, Faye – Teaching & Learning Inquiry, 2023
The folklorist Vladímir Propp identified a curious phenomenon in his study of 100 Russian fairy tales: despite their tremendous surface variety, they followed a single narrative structure or morphology. This article argues that the same phenomenon applies to SoTL articles: despite the tremendous variety of content and methods that SoTL articles…
Descriptors: Morphology (Languages), Research Reports, Teaching Methods, Learning Processes
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Hartshorne, Joshua K. – First Language, 2020
Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…
Descriptors: Models, Language Acquisition, Language Processing, Bayesian Statistics
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Muñoz-Basols, Javier; Neville, Craig; Lafford, Barbara A.; Godev, Concepción – Hispania, 2023
Artificial Intelligence (AI) and AI-powered machine translation bring opportunities and challenges for L2 educators and students. Most recently, the emergence of AI-based chatbots, such as ChatGPT, has led to calls for a revision of traditional teaching methods to prioritize reflective reasoning and critical thinking. This article studies the…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Computer Software
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Grüter, Theres – Second Language Research, 2021
In this commentary, I suggest that it may be helpful to think about the formidable problem space that Westergaard's (2021) Linguistic Proximity Model seeks to address at the three levels of analysis that Marr (1982) famously proposed are needed to understand any complex cognitive system. I argue that at the computational level of analysis, where…
Descriptors: Linguistic Theory, Second Language Learning, Multilingualism, Native Language
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Panagiotis Panagiotidis – European Journal of Education (EJED), 2024
Efforts to utilize AI in education, and especially in language education, have their roots in the 60s with the appearance of the first rule-based systems. However, recent advances in Artificial Intelligence (AI) and more specifically the introduction of ChatGPT, have given a new perspective to language learning. The integration of AI, natural…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Second Language Learning
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Dana Therova – Vocabulary Learning and Instruction, 2020
Vocabulary learning is unarguably one of the sub-goals in every language classroom. The learning and teaching of vocabulary have been transformed by the development of general word lists, providing compilations of the most prevalent vocabulary items used in everyday contexts. These lists have made an invaluable contribution to the field of applied…
Descriptors: Word Lists, Comparative Analysis, English (Second Language), Second Language Instruction
Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns
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Webb, Stuart – Reading in a Foreign Language, 2021
Studies of lexical coverage are valuable because they reveal the importance of vocabulary knowledge to comprehension. Lexical profiling research is also extremely useful because it indicates the vocabulary knowledge necessary to understand different text types such as novels, newspapers, academic lectures, television programs, and movies.…
Descriptors: Reading Comprehension, Second Language Learning, Second Language Instruction, Vocabulary Development
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Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
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