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Geoff D. Green II; Ewa Jacewicz; Hendrik Santosa; Lian J. Arzbecker; Robert A. Fox – Journal of Speech, Language, and Hearing Research, 2024
Purpose: We explore a new approach to the study of cognitive effort involved in listening to speech by measuring the brain activity in a listener in relation to the brain activity in a speaker. We hypothesize that the strength of this brain-to-brain synchrony (coupling) reflects the magnitude of cognitive effort involved in verbal communication…
Descriptors: Speech Communication, Interpersonal Communication, Cognitive Processes, Brain
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Moses Segbenya; Felix Senyametor; Simon-Peter Kafui Aheto; Edmond Kwesi Agormedah; Kwame Nkrumah; Rebecca Kaedebi-Donkor – Cogent Education, 2024
This study examined the effect of antecedents of artificial intelligence (AI) on the productivity of academics in higher education. The study was guided by the pragmatic epistemic perspective predicated on the concurrent integrated mixed-method design used with the support of a Google softcopy version of the semi-structured questionnaire (closed…
Descriptors: Influences, Artificial Intelligence, Productivity, College Faculty
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Jonathan K. Foster; Peter Youngs; Rachel van Aswegen; Samarth Singh; Ginger S. Watson; Scott T. Acton – Journal of Learning Analytics, 2024
Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…
Descriptors: Learning Analytics, Automation, Classification, Artificial Intelligence
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Rafael Ferreira Mello; Elyda Freitas; Luciano Cabral; Filipe Dwan Pereira; Luiz Rodrigues; Mladen Rakovic; Jackson Raniel; Dragan Gaševic – Journal of Learning Analytics, 2024
Learning analytics (LA) involves the measurement, collection, analysis, and reporting of data about learners and their contexts, aiming to understand and optimize both the learning process and the environments in which it occurs. Among many themes that the LA community considers, natural language processing (NLP) algorithms have been widely…
Descriptors: Literature Reviews, Learning Analytics, Natural Language Processing, Data Collection
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Maria Goldshtein; Jaclyn Ocumpaugh; Andrew Potter; Rod D. Roscoe – Grantee Submission, 2024
As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…
Descriptors: Language Attitudes, Computational Linguistics, Computer Software, Natural Language Processing
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Tarek Ait Baha; Mohamed El Hajji; Youssef Es-Saady; Hammou Fadili – Education and Information Technologies, 2024
Artificial Intelligence (AI) technologies have increasingly become vital in our everyday lives. Education is one of the most visible domains in which these technologies are being used. Conversational Agents (CAs) are among the most prominent AI systems for assisting teaching and learning processes. Their integration into an e-learning system can…
Descriptors: Secondary School Students, Public Schools, Foreign Countries, Artificial Intelligence
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Wei Yi; Yanlu Zhong – Studies in Second Language Acquisition, 2024
This meta-analysis synthesized 35 English studies (130 effect sizes, N = 1,981) that employed online tasks to investigate the processing of multiword sequences (MWSs). We examined (a) to what extent MWSs enjoy a processing advantage over novel word combinations; (b) how such a processing advantage is moderated by statistical regularities (i.e.,…
Descriptors: Phrase Structure, Second Language Learning, Second Language Instruction, Language Processing
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Masood Khoshsaligheh; Azadeh Eriss; Milad Mehdizadkhani; Elnaz Pakar – International Journal of Multilingualism, 2024
Filmmakers increasingly resort to using multiple languages in their work to realistically reflect today's globalised world. However, this multiplicity poses specific challenges in the process of translation for dubbing. This study explores the rendition of Western multilingual films into Persian dubbed versions for the Iranian audience. Films as…
Descriptors: Translation, Language Processing, Second Languages, Films
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Ella Shalit; Dror Dotan – Cognitive Research: Principles and Implications, 2024
Reading numbers aloud, a central aspect of numerical literacy, is a challenging skill to acquire, but the origins of this difficulty remain poorly understood. To investigate this matter, we examined the performance of 127 third- and fourth-grade children who read aloud, in Hebrew, numbers with 2-5 digits. We found several key observations. First,…
Descriptors: Difficulty Level, Elementary School Students, Numeracy, Literacy
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Miguel Ángel Escotet – Prospects, 2024
Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…
Descriptors: Futures (of Society), Artificial Intelligence, Technology Uses in Education, Higher Education
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Brundage, Shelley B.; Bernstein Ratner, Nan – Topics in Language Disorders, 2022
Purpose: Although commonly defined as a speech disorder, stuttering interacts with the language production system in important ways. Our purpose is to summarize research findings on linguistic variables that influence stuttering assessment and treatment. Method and Results: Numerous topics are summarized. First, we review research that has…
Descriptors: Stuttering, Language Fluency, Speech Communication, Language Processing
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Felser, Claudia; Drummer, Janna-Deborah – Journal of Psycholinguistic Research, 2022
Pronouns can sometimes covary with a non c-commanding quantifier phrase (QP). To obtain such 'telescoping' readings, a semantic representation must be computed in which the QP's semantic scope extends beyond its surface scope. Non-native speakers have been claimed to have more difficulty than native speakers deriving such non-isomorphic…
Descriptors: Form Classes (Languages), Native Language, Second Languages, Sentences
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Bose, Arpita; Patra, Abhijeet; Antoniou, Georgia Eleftheria; Stickland, Rachael C.; Belke, Eva – International Journal of Language & Communication Disorders, 2022
Background: Verbal fluency tasks are routinely used in clinical assessment and research studies of aphasia. People with aphasia produce fewer items in verbal fluency tasks. It remains unclear if their output is limited solely by their lexical difficulties and/or has a basis in their executive control abilities. Recent research has illustrated that…
Descriptors: Verbal Ability, Executive Function, Aphasia, Language Processing
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Schwab, Juliane; Xiang, Ming; Liu, Mingya – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Antilocality effects provide strong evidence for expectation-based sentence parsing models. Previous discussion of the antilocality effect, however, largely focused on the argument-verb dependencies in verb-final constructions, for which a memory retrieval-based account has been argued to be equally adequate. To test whether the principles of…
Descriptors: Sentences, Language Processing, Memory, German
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Brehm, Laurel; Cho, Pyeong Whan; Smolensky, Paul; Goldrick, Matthew A. – Cognitive Science, 2022
Subject-verb agreement errors are common in sentence production. Many studies have used experimental paradigms targeting the production of subject-verb agreement from a sentence preamble ("The key to the cabinets") and eliciting verb errors (… "*were shiny"). Through reanalysis of previous data (50 experiments; 102,369…
Descriptors: Sentences, Sentence Structure, Grammar, Verbs
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