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Alejandra Abufhele; Agustina Laurito – Child Development, 2024
This paper estimates the acute effect of community-level homicides on early childhood language development and explores the moderating role of maternal efficacy and satisfaction in Chile. It uses data from the 2017 wave of the Early Childhood Longitudinal Survey of Chilean Children (N = 1194, M[subscript age]: 52.8 months, 52% girls). Children in…
Descriptors: Foreign Countries, Young Children, Language Acquisition, Early Experience
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Tsung-Ying Chen – Journal of Psycholinguistic Research, 2024
Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…
Descriptors: Artificial Intelligence, Grammar, Computer Software, Handheld Devices
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Hiu Che Foo; Chenwei Tang; Yuting Kao; Hsingmei Wu; Chelun Chang; Meiyao Wu; Yuchun Lo; Shihming Weng – American Annals of the Deaf, 2024
Our study investigated the differences in speech performance and neurophysiological response in groups of school-age children with unilateral hearing loss (UHL) who were otherwise typically developing (TD). We recruited a total of 16 primary school-age children for our study (UHL = 9/TD = 7), who were screened by doctors at Shin Kong Wu-Ho-Su…
Descriptors: Hearing Impairments, Speech Skills, Intelligence Tests, Verbal Ability
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Florencia Stelzer; Santiago Vernucci; Yesica Aydmune; Macarena del Valle; María Laura Andres; Isabel María Introzzi – European Journal of Psychology of Education, 2024
The aim of this study was to analyze the joint, relative, and unique predictive value of students' prior knowledge of mathematics (knowledge of fractions and ability to divide natural numbers) and general cognitive ability (fluid intelligence and working memory) upon general mathematics achievement in the last year of primary school. Seventy-five…
Descriptors: Mathematics Achievement, Elementary School Students, Thinking Skills, Prior Learning
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Peter Cardon; Carolin Fleischmann; Minna Logemann; Jeanette Heidewald; Jolanta Aritz; Stephanie Swartz – Business and Professional Communication Quarterly, 2024
Many experts project generative AI will impact the types of competencies that are valued among working professionals. This is the first known academic study to explore the views of business practitioners about the impacts of generative AI on skill sets. This survey of 692 business practitioners showed that business practitioners widely use…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Business Communication, Research
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Zehui Zhan; Yao Tong; Xixin Lan; Baichang Zhong – Interactive Learning Environments, 2024
In recent years, Game-Based Learning (GBL) has been widely adopted in various educational settings. This paper aims to review empirical studies that adopt GBL in the field of AI education and explore its future research perspectives. After a systematic keyword search in the online database and a snowballing approach, a total of 125 empirical…
Descriptors: Game Based Learning, Robotics, Teaching Methods, Artificial Intelligence
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Jessie S. Barrot – Technology, Knowledge and Learning, 2024
This emerging technology report delves into the role of ChatGPT, an OpenAI conversational AI, in language learning. The initial section introduces ChatGPT's nature and highlights its features, including accessibility, personalization, immersive learning, and instant feedback, which render it a valuable asset for language learners and educators…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Acquisition
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John S. Y. Lee; Chak Yan Yeung; Zhenqun Yang – Interactive Learning Environments, 2024
A text recommendation system helps language learners find suitable reading materials. Similar to graded readers, most systems assign difficulty levels or school grades to the documents in their database, and then identify the documents that best match the language proficiency of the learner. This graded approach has two main limitations. First,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Second Language Learning, Language Acquisition
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Roberto Santiago de Roock – Reading Research Quarterly, 2024
This paper critically explores the implications of generative artificial "intelligence" (GAI) technologies for literacy theory and practice through a case study of the author's use of OpenAI's ChatGPT. The study opens with an overview of recent literature surrounding the pedagogical implications of using GAI with a focus on issues of…
Descriptors: Artificial Intelligence, Writing (Composition), Linguistics, Colonialism
Hanwen Li – ProQuest LLC, 2024
The advancements in generative AI technologies have provided various opportunities to enhance human resource development (HRD) activities. Scholars have discussed the benefits of using AI chatbots, a popular AI application, in training activities. Yet, the current literature still lacks a comprehensive understanding of how AI chatbots can be used…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Student Centered Learning
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Aaron Haim; Eamon Worden; Neil T. Heffernan – Grantee Submission, 2024
Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…
Descriptors: Artificial Intelligence, Learning Management Systems, Computer Software, Intelligent Tutoring Systems
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Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
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Ayse Alkan – International Journal of Technology in Education and Science, 2024
Artificial intelligence (AI) based education represents a significant transformation in the field of education of our age. Artificial intelligence (AI) technology has great potential to enrich the learning experience of special needs students, provide support to teachers, and reduce inequalities in education. Artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Students with Disabilities
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Khaled ElEbyary; Ramy Shabara; Deena Boraie – Language Testing in Asia, 2024
Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…
Descriptors: Foreign Countries, Artificial Intelligence, Second Language Learning, English (Second Language)
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ZuoYuan Liu; Elena Yushchik – Cogent Education, 2024
The primary objective is to investigate the potential applications of AI in education to enhance its quality and elevate students' knowledge levels. A comprehensive experiment was conducted, involving the integration of AI technology into the learning process of 279 students. A test was administered at the outset, categorizing students into four…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Program Effectiveness
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