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Petra Polakova; Blanka Klimova – Cogent Education, 2024
Thanks to the continuous development of artificial intelligence (AI), more and more tools are available to help students to practice their language skills. Nowadays, there are various ways of using AI-driven technology in the process of language learning, one example is the use of chatbots. This pilot study aims to investigate the impact of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Second Language Learning
Yuxin Chen; Yaqiong Wang – Language Teaching Research Quarterly, 2024
This study investigates how academic disciplines impact second language (L2) lexical competencies. Prior L2 research has often overlooked the broader effects of disciplinary backgrounds on lexical development. To address this gap, this study utilized lexical decision, memory, and semantic fluency tasks to examine lexicon recognition, memory, and…
Descriptors: Semantics, Second Language Learning, Reaction Time, Accuracy
Napasri Timyam – LEARN Journal: Language Education and Acquisition Research Network, 2024
Studies of English academic writing have revealed a shift to a compressed style, with preferences for lexical and phrasal types of noun modifiers over clausal modifiers. However, condensed noun phrases may result in a loss of explicitness since they lack grammatical markers specifying the semantic relations between head nouns and modifiers. This…
Descriptors: Nouns, Phrase Structure, English (Second Language), Second Language Learning
Lany, Jill; Shoaib, Amber; Thompson, Abbie; Estes, Katharine Graf – Journal of Child Language, 2018
Infants are adept at learning statistical regularities in artificial language materials, suggesting that the ability to learn statistical structure may support language development. Indeed, infants who perform better on statistical learning tasks tend to be more advanced in parental reports of infants' language skills. Work with adults suggests…
Descriptors: Infants, Language Processing, Syllables, Language Acquisition
Adams, Eryn J.; Nguyen, Anh T.; Cowan, Nelson – Language, Speech, and Hearing Services in Schools, 2018
Purpose: The purpose of this article is to review and discuss theories of working memory with special attention to their relevance to language processing. Method: We begin with an overview of the concept of working memory itself and review some of the major theories. Then, we show how theories of working memory can be organized according to their…
Descriptors: Short Term Memory, Attention, Language Processing, Language Research
Wu, Fuyun; Kaiser, Elsi; Vasishth, Shravan – Cognitive Science, 2018
We used Chinese prenominal relative clauses (RCs) to test the predictions of two competing accounts of sentence comprehension difficulty: the experience-based account of Levy, 2008) and the Dependency Locality Theory (DLT; Gibson, 2000). Given that in Chinese RCs, a classifier and/or a passive marker BEI can be added to the sentence-initial…
Descriptors: Cues, Language Processing, Chinese, Comprehension
Kamide, Yuki; Kukona, Anuenue – Cognitive Science, 2018
We investigated the influence of globally ungrammatical local syntactic constraints on sentence comprehension, as well as the corresponding activation of global and local representations. In Experiment 1, participants viewed visual scenes with objects like a carousel and motorbike while hearing sentences with noun phrase (NP) or verb phrase (VP)…
Descriptors: Grammar, Syntax, Sentences, Listening Comprehension
Jeremy Cole – ProQuest LLC, 2018
This dissertation sheds light on some of the representations used in human language production. Language production consists of several distinct stages; in particular, we focus on the stages of lexical retrieval and grammatical encoding. Lexical retrieval involves retrieving the words required to express the intended meaning; grammatical encoding…
Descriptors: Grammar, Computational Linguistics, Language Processing, Short Term Memory
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Chengyuan Jia; Khe Foon Hew; Mingting Li – Computer Assisted Language Learning, 2025
Listening is a major challenge for many English-as-a-foreign language (EFL) learners. Decoding training, which helps learners develop the ability to recognize words from speech, is frequently used to assist EFL learners. Although recent empirical studies on decoding training have provided positive evidence on its effectiveness in improving EFL…
Descriptors: Flipped Classroom, Second Language Learning, Second Language Instruction, Teaching Methods
Campbell McDermid – Interpreter and Translator Trainer, 2025
With the advent of online learning, instructors are challenged to engage with students in asynchronous learning environments. This study explored Perusall, a social annotation tool (SAT), in an undergraduate introductory course in sign language interpreting. Despite the growing popularity of SATs, their impact on sign language interpreter…
Descriptors: Translation, Computer Software, Computational Linguistics, Reading Rate
van Egdom, Gys-Walt; Cadwell, Patrick; Kockaert, Hendrik; Segers, Winibert – Interpreter and Translator Trainer, 2020
This introductory article will illustrate how ergonomics has come to occupy a prominent place in translation and interpreting studies. It will review the studies that have been carried out in recent years to measure physical, cognitive and organisational conditions within the language industry. It will be argued that, despite the growing awareness…
Descriptors: Translation, Human Factors Engineering, Language Processing, Teaching Methods
Trott, Sean; Bergen, Benjamin – Discourse Processes: A Multidisciplinary Journal, 2020
People often speak indirectly. For example, "It's cold in here" might be intended not only as a comment on the temperature but also as a request to turn on the heater. How are comprehenders' inferences about a speaker's intentions informed by their ability to reason about the speaker's mental states, that is, "mentalizing?" We…
Descriptors: Language Processing, Guidelines, Correlation, Inferences
Rotou, Ourania; Rupp, André A. – ETS Research Report Series, 2020
This research report provides a description of the processes of evaluating the "deployability" of automated scoring (AS) systems from the perspective of large-scale educational assessments in operational settings. It discusses a comprehensive psychometric evaluation that entails analyses that take into consideration the specific purpose…
Descriptors: Computer Assisted Testing, Scoring, Educational Assessment, Psychometrics
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification

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