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Daliri, Ayoub – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The speech motor system uses feedforward and feedback control mechanisms that are both reliant on prediction errors. Here, we developed a state-space model to estimate the error sensitivity of the control systems. We examined (a) whether the model accounts for the error sensitivity of the control systems and (b) whether the two systems…
Descriptors: Speech Communication, Psychomotor Skills, Prediction, Error Patterns
Ferman, Sara; Shmuel, Sapir Amira; Zaltz, Yael – Language Learning and Development, 2022
The acquisition of a new morphological rule can be influenced by numerous factors, including the type of feedback provided during learning. The present study aimed to test the effect of different feedback types on children's ability to learn and generalize an artificial morphological rule (AMR). Two groups of eight-year-olds learned to judge and…
Descriptors: Morphology (Languages), Feedback (Response), Error Correction, Learning Processes
Rassaei, Ehsan – Computer Assisted Language Learning, 2023
The main purpose of the present study is to propose a framework for implementing group dynamic assessment (DA) using students' smartphones for improving and assessing EFL learners' ability to produce well-formed and appropriate requests. This study focuses on five learner reciprocity moves during DA interactions to get deeper insights into the…
Descriptors: Computer Assisted Testing, Second Language Learning, Second Language Instruction, English (Second Language)
Mughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Shintani, Natsuko; Aubrey, Scott – Modern Language Journal, 2016
This study extends research on written corrective feedback (CF) by investigating how timing of CF affects grammar acquisition. Specifically, it examined the relative effects of synchronous and asynchronous CF on the accurate use of the hypothetical conditional structure. Participants were 68 intermediate-level students of English at a university…
Descriptors: Error Correction, Feedback (Response), English (Second Language), Second Language Learning
Selmeczy, Diana; Dobbins, Ian G. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Prior literature has primarily focused on the negative influences of misleading external sources on memory judgments. This study investigated whether participants can capitalize on generally reliable recommendations in order to improve their net performance; the focus was on potential roles for metacognitive monitoring (i.e., knowledge about one's…
Descriptors: Metacognition, Recognition (Psychology), Role, Feedback (Response)
Wilches, Astrid – GIST Education and Learning Research Journal, 2014
The purpose of this study is to investigate learners' perceptions of the benefits of tasks using voice tools to reinforce their oral skills. Additionally, this study seeks to determine what aspects of task design affected the students' perceptions. Beginner learners aged 18 to 36 with little or no experience in the use of technological tools for…
Descriptors: Foreign Countries, Oral Language, Educational Benefits, Computer Mediated Communication
Smith, Bryan – CALICO Journal, 2009
This study explores the relationship between scrolling, negotiated interaction, and self-initiated self-repair (SISR) in a task-based synchronous computer-mediated communication (SCMC) foreign language learning environment. Pairs of adult learners of German engaged in four jigsaw tasks over the course of one university semester. Video screen…
Descriptors: Computer Mediated Communication, German, Second Language Learning, College Students
De Felice, Rachele; Pulman, Stephen – CALICO Journal, 2009
In this article, we present an approach to the automatic correction of preposition errors in L2 English. Our system, based on a maximum entropy classifier, achieves average precision of 42% and recall of 35% on this task. The discussion of results obtained on correct and incorrect data aims to establish what characteristics of L2 writing prove…
Descriptors: Language Patterns, Form Classes (Languages), Error Correction, Second Language Learning
Morris, Frank – Language Learning & Technology, 2005
The current study examined the provision of corrective feedback and learner repair following feedback in the interactional context of child-to-child conversations, particularly computer mediated, in an elementary Spanish immersion class. The relationship among error types, feedback types, and immediate learner repair were also examined. A total of…
Descriptors: Feedback (Response), Internet, Computer Software, Error Correction