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Torres-Jimenez, Jose; Lescano, Germán; Lara-Alvarez, Carlos; Mitre-Hernandez, Hugo – Education and Information Technologies, 2023
Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…
Descriptors: Conflict, Identification, Computer Assisted Instruction, Cooperative Learning
C. H. Padmanabha; Flavia P. D'Souza – Journal on English Language Teaching, 2023
In Krashen's theory of second-language acquisition he claims that there is distinction between language acquisition and language learning, a distinction which other second-language acquisition researchers have called "perhaps the most important conceptualization" in the field and which has made possible the most productive models of SLA.…
Descriptors: Linguistic Theory, Second Language Learning, Learning Processes, Language Research
Noriko Iwashita; Phung Dao; Mai Xuan Nhat Chi Nguyen – Multilingual Matters, 2025
This book provides an overview and analysis of the role that classroom interaction plays in instructed second language acquisition. The authors synthesise current state-of-the-art research on how classroom interaction benefits L2 learning through the lens of three theoretical perspectives: cognitive-interactionist (with a focus on how…
Descriptors: Second Language Learning, Second Language Instruction, Socialization, Language Usage
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
William Cain – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper explores the transformative potential of Large Language Models Artificial Intelligence (LLM AI) in educational contexts, particularly focusing on the innovative practice of prompt engineering. Prompt engineering, characterized by three essential components of content knowledge, critical thinking, and iterative design, emerges as a key…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Prompting
Serene Y. Wang; Morten H. Christiansen – Language Teaching Research Quarterly, 2024
Among the various challenges that adult and other late language learners face on their journey to achieving nativelike proficiency, chunking has been identified as one of the most difficult tasks to master. Language users are able to derive and utilize chunks during language processing -- both in the first (L1) and the second language (L2) -- yet…
Descriptors: Phrase Structure, Second Language Learning, Second Language Instruction, Native Language
Stringer, David – Second Language Research, 2021
Westergaard (2021) presents an updated account of the Linguistic Proximity Model and the micro-cue approach to the parser as an acquisition device. The property-by-property view of transfer inherent in this approach contrasts with other influential models that assume that third language (L3) acquisition involves the creation of a full copy of only…
Descriptors: Transfer of Training, Linguistic Theory, Second Language Learning, Multilingualism
González Alonso, Jorge; Rothman, Jason – Second Language Research, 2021
In this commentary to Westergaard (2021), we focus on two main questions. The first, and most important, is what type of L3 data may be construed as supporting evidence--as opposed to a compatible outcome--for the Linguistic Proximity Model. In this regard, we highlight a number of areas in which it remains difficult to derive testable predictions…
Descriptors: Transfer of Training, Second Language Learning, Native Language, Linguistic Theory
Lee, Yan-Yi – International Journal of Bilingual Education and Bilingualism, 2022
With the increasing consensus that a single effect of bilingualism is unlikely, some scholars shift their focus to elements that may exert an influence on the bilingual brain. One such element that has been garnering attention lately concerns the role of L1-L2 typological distance. In this conceptual analysis, I make the case that the foundations…
Descriptors: Bilingualism, Psycholinguistics, Brain Hemisphere Functions, Language Classification
Demuth, Katherine; Johnson, Mark – First Language, 2020
Exemplar-based learning requires: (1) a segmentation procedure for identifying the units of past experiences that a present experience can be compared to, and (2) a similarity function for comparing these past experiences to the present experience. This article argues that for a learner to learn a language these two mechanisms will require…
Descriptors: Comparative Analysis, Language Acquisition, Linguistic Theory, Grammar
Festman, Julia – Language Learning, 2021
This review scrutinizes the evidence concerning the factors that affect the ease with which multilinguals learn additional languages. First, I focus on language learning experiences that could help multilinguals acquire new languages (e.g., consequences of exposure, use of prior knowledge, biliteracy). I then discuss how multilinguals manage…
Descriptors: Multilingualism, Language Processing, Psycholinguistics, Evidence
Zettersten, Martin; Schonberg, Christina; Lupyan, Gary – First Language, 2020
This article reviews two aspects of human learning: (1) people draw inferences that appear to rely on hierarchical conceptual representations; (2) some categories are much easier to learn than others given the same number of exemplars, and some categories remain difficult despite extensive training. Both of these results are difficult to reconcile…
Descriptors: Models, Language Acquisition, Prediction, Language Processing
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
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
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