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Sterrett, Kyle; Freeman, Stephanny; Hayashida, Kristen; Kim, Joanne J.; Paparella, Tanya – Young Exceptional Children, 2023
Preverbal communication means any social behavior that occurs before children communicate verbally. Generally, these communicative behaviors are categorized into two ways: as behavior regulation (BR) or joint attention (JA) skills. BR, also referred to as requesting, involves the use of behaviors to gain something or receive assistance (Mundy et…
Descriptors: Verbal Communication, Intervention, Behavior Development, Natural Language Processing
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Pack, Austin; Maloney, Jeffrey – Teaching English with Technology, 2023
With recent public access to large language models via chatbots, the field of language education is seeing unprecedented levels of interest in how AI will affect language learning and teaching. As attention is primarily focused on student misuse of the technology, the potential affordances of generative AI tools may often be overlooked. In this…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Language Acquisition
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Lijewska, Agnieszka – Second Language Research, 2023
The current study investigated how the processing of triple cognates (words sharing form and meaning across three languages) is modulated by the semantic bias of sentence context in a reading task. In the study, Polish-German-English trilinguals read English sentences while their eye movements were monitored. The sentences were either semantically…
Descriptors: Semantics, Eye Movements, Reading Processes, Second Language Learning
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Mekonnen, Abebayehu Messele – Educational Psychology in Practice, 2023
This exploratory study aimed at developing a dyslexia assessment tool in the Amharic language and to collect initial reliability and validity data on the tool designed to identify dyslexia in Grade 3. The developed battery consists of 10 tests. Data were collected from 121 Amharic-speaking children, aged 9-12 years. Evidence of construct validity…
Descriptors: Dyslexia, Screening Tests, Identification, Grade 3
Nan Yang – ProQuest LLC, 2023
The relationship between language and thought has fascinated us for centuries. The relationship between the two is far beyond what the two words represent on the literal level, and the discussions around it have been covered in various fields from philosophy and psychology to linguistics. Even complicating the situation, the relationship between…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Correlation
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Angela R. Crawford; Aysia Kernin – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This study explores volitional and affective responses to instructional activities aimed at developing geometric and spatial vocabulary of a neurodivergent student. Using teaching experiment methodology across 15 instructional sessions, we observed how the student responded to games, direct instruction, and vocabulary support embedded in spatial…
Descriptors: Mathematics Instruction, Vocabulary Skills, Self Esteem, Direct Instruction
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Melike Bozca; Didem Koban Koç – Journal of Educational Technology and Online Learning, 2023
The purpose of the study is to investigate whether English as a foreign language (EFL) learners are more willing to communicate and study with the same partners or different partners in speaking activities in pairs or small groups and to determine whether there are similarities or differences in learners' views regarding the same and different…
Descriptors: Verbal Communication, Speech Communication, Electronic Learning, In Person Learning
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Colby Hall; Emily J. Solari; Latisha Hayes; Katlynn Dahl-Leonard; Jamie DeCoster; Karen F. Kehoe; Carlin L. Conner; Alyssa R. Henry; Alisha Demchak; Cassidi L. Richmond; Isabel Vargas – Reading and Writing: An Interdisciplinary Journal, 2024
In theory, teacher knowledge predicts instructional practice, thus impacting student outcomes. When it comes to knowledge to teach elementary-grade reading, most previous surveys have focused on knowledge essential for word reading development; few surveys have provided a picture of educator knowledge to teach both word reading and language…
Descriptors: Reading Instruction, Reading Fluency, Factor Analysis, Elementary School Students
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Carmen Köhler; Johannes Hartig – Contemporary Educational Technology, 2024
Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students'…
Descriptors: Artificial Intelligence, College Students, Natural Language Processing, Technology Uses in Education
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Lior Naamati-Schneider; Dorit Alt – Education and Information Technologies, 2024
The integration of ChatGPT into educational systems underscores the critical importance of reevaluating the relevance of digital literacy skills. This study empirically tested, for the first time, the theoretical premise that the use of ChatGPT could render certain digital skills obsolete by assuming competencies that students were previously…
Descriptors: Artificial Intelligence, Handheld Devices, Users (Information), Skill Development
Irene Picton; Christina Clark – National Literacy Trust, 2024
Recent developments in technology have accelerated the influence of artificial intelligence (AI) on our lives. The ability of generative-AI tools such as ChatGPT, Gemini and Claude to both 'write' and 'read' texts in a human-like manner means they are set to play an increasingly important role in the literacy lives of children, young people and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
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Thomas K. F. Chiu; Benjamin Luke Moorhouse; Ching Sing Chai; Murod Ismailov – Interactive Learning Environments, 2024
As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly in K-12 education. AI technologies may benefit motivated and advanced students. Understanding…
Descriptors: Teacher Student Relationship, Student Motivation, Artificial Intelligence, Technology Uses in Education
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Nozomi Tanaka; Elaine Lau; Alan L. F. Lee – First Language, 2024
Subject relative clauses (RCs) have been shown to be acquired earlier, comprehended more accurately, and produced more easily than object RCs by children. While this subject preference is often claimed to be a universal tendency, it has largely been investigated piecemeal and with low-powered experiments. To address these issues, this…
Descriptors: Phrase Structure, Native Language, Language Classification, Preferences
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Panagiotis Panagiotidis – European Journal of Education (EJED), 2024
Efforts to utilize AI in education, and especially in language education, have their roots in the 60s with the appearance of the first rule-based systems. However, recent advances in Artificial Intelligence (AI) and more specifically the introduction of ChatGPT, have given a new perspective to language learning. The integration of AI, natural…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Second Language Learning
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A. Sh. Kappassova; A. S. Adilova; A. F. Zeinulina; K. M. Khamzina; A. Umirbekova; A. Zh. Zhaldybayeva – Eurasian Journal of Applied Linguistics, 2024
Intertextuality, defined as the presence of one text within another, is a powerful tool in shaping media narratives and engaging audiences. This study explores intertextuality in Kazakh, Russian, and English-language media, examining how precedent expressions like quotes, allusions, proverbs, and aphorisms sued as media texts interact across…
Descriptors: Contrastive Linguistics, Turkic Languages, Russian, English
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