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Daisuke Akiba; Rebecca Garte – Journal of Interactive Learning Research, 2024
The emergence of AI-powered Large Language Models (LLMs), such as ChatGPT and Google Gemini, presents both opportunities and challenges for higher education, particularly regarding academic integrity in writing instruction. This exploratory study examines a novel pedagogical approach that integrates LLMs as required feedback tools in a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Writing Instruction, Integrity
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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
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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
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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
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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
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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
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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
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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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Kukona, Anuenue – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Two visual world experiments investigated the priming of form (e.g., phonology) during language processing. In Experiment 1, participants heard high cloze probability sentences like "In order to have a closer look, the dentist asked the man to open his . . ." while viewing visual arrays with objects like a predictable target mouth,…
Descriptors: Prediction, Priming, Phonology, Language Processing
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Petit, Selene; Badcock, Nicholas A.; Grootswagers, Tijl; Rich, Anina N.; Brock, Jon; Nickels, Lyndsey; Moerel, Denise; Dermody, Nadene; Yau, Shu; Schmidt, Elaine; Woolgar, Alexandra – Journal of Speech, Language, and Hearing Research, 2020
Purpose: We aimed to develop a noninvasive neural test of language comprehension to use with nonspeaking children for whom standard behavioral testing is unreliable (e.g., minimally verbal autism). Our aims were threefold. First, we sought to establish the sensitivity of two auditory paradigms to elicit neural responses in individual neurotypical…
Descriptors: Receptive Language, Language Impairments, Comprehension, Auditory Stimuli
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Adger, David – First Language, 2020
The syntactic behaviour of human beings cannot be explained by analogical generalization on the basis of concrete exemplars: analogies in surface form are insufficient to account for human grammatical knowledge, because they fail to hold in situations where they should, and fail to extend in situations where they need to. [For Ben Ambridge's…
Descriptors: Syntax, Figurative Language, Models, Generalization
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Kim, Hyunwoo; Shin, Gyu-Ho; Hwang, Haerim – Studies in Second Language Acquisition, 2020
This study investigated the effects of construction types on Korean-L1 English-L2 learners' verb-construction integration in online processing by presenting the ditransitive and prepositional dative constructions and manipulating the verb's association strength within these constructions. Results of a self-paced reading experiment showed that the…
Descriptors: Second Language Learning, English (Second Language), Verbs, Language Processing
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Ibrahim, Mariam Taiwo; Tella, Adeyinka – International Journal of Higher Education, 2020
Purpose: This study analysed text mining from full-text articles and abstracts by postgraduate students in selected Nigeria universities. Design/methodology/approach: The study adopted a survey research design using a questionnaire as the instrument for data collection from 357 postgraduate students drawn using Raosoft sample size calculator. Six…
Descriptors: Journal Articles, Documentation, Graduate Students, Foreign Countries
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Clifton, Charles; Frazier, Lyn – Discourse Processes: A Multidisciplinary Journal, 2020
Domain restriction is a pervasive if often neglected part of discourse comprehension. Speakers and authors implicitly limit the domain of discourse of quantifiers (e.g., "everyone") and noun phrases (e.g., "the girls"). Our previous research shows that an initial temporal or locative prepositional phrase (PP), which introduces…
Descriptors: Language Usage, Nouns, Phrase Structure, Form Classes (Languages)
Subramonyam, Hariharan; Seifert, Colleen; Shah, Priti; Adar, Eytan – Grantee Submission, 2020
Learning from text is a "constructive" activity in which sentence-level information is combined by the reader to build coherent mental models. With increasingly complex texts, forming a mental model becomes challenging due to a lack of background knowledge, and limits in working memory and attention. To address this, we are taught…
Descriptors: Visual Aids, Natural Language Processing, Reading Strategies, Educational Technology
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