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Xia, Qi; Chiu, Thomas K. F.; Chai, Ching Sing; Xie, Kui – British Journal of Educational Technology, 2023
The anthropomorphic characteristics of artificial intelligence (AI) can provide a positive environment for self-regulated learning (SRL). The factors affecting adolescents' SRL through AI technologies remain unclear. Limited AI and disciplinary knowledge may affect the students' motivations, as explained by self-determination theory (SDT). In this…
Descriptors: Secondary School Students, Grade 9, Needs, Satisfaction
Montgomery, Diane P.; Montgomery, Matthew; Montgomery, Molly – LEARNing Landscapes, 2023
The increasing number of students requiring special education support is a plea for students to be taught the way they learn best. Through the authentic educational experiences of a diverse family, this paper explores the impact of theories of motivation to support all learners. This exploration proposes that educators may be able to support the…
Descriptors: Student Motivation, Theories, Student Needs, Special Education
Nair, Vishnu K. K.; Farah, Warda; Cushing, Ian – Language, Speech, and Hearing Services in Schools, 2023
Purpose: This review article critically interrogates the history and the current practice of standardized assessment in speech and language therapy. Speech and language assessments utilizing standardized linguistic norms are a critical tool for constructing disability and controlling disabled individuals. Such practices are rooted in a medical…
Descriptors: Standardized Tests, Speech Language Pathology, Speech Evaluation, Speech Therapy
Gross, Megan C.; Castilla-Earls, Anny – Language, Speech, and Hearing Services in Schools, 2023
Purpose: This study examined the frequency, direction, and structural characteristics of code-switching (CS) during narratives by Spanish-English bilingual children with and without developmental language disorder (DLD) to determine whether children with DLD exhibit unique features in their CS that may inform clinical decision-making. Method:…
Descriptors: Code Switching (Language), Bilingualism, Language Impairments, Developmental Delays
He, Jie; Ma, Tingjuan; Zhang, Yongliang – Education and Information Technologies, 2023
This study implemented a blended learning mode with the aid of artificial intelligence teaching platform in the English language course. In this study, 110 students majoring in computer network were randomly selected as subjects, 55 of whom was the experimental group, the rest of 55 was the control group. Before the experiment, this study carried…
Descriptors: Blended Learning, Communities of Practice, Artificial Intelligence, College Students
Woo, David James; Wang, Yanzhi; Susanto, Hengky; Guo, Kai – Journal of Educational Computing Research, 2023
Natural language generation (NLG) is a process within artificial intelligence where computer systems produce human-comprehensible language texts from information. English as a foreign language (EFL) students' use of NLG tools might facilitate their idea generation, which is fundamental to creative writing. However, little is known about how EFL…
Descriptors: Natural Language Processing, Artificial Intelligence, English (Second Language), Second Language Learning
Peebles, Jodi L.; Mendaglio, Sal; McCowan, Michelle – Gifted Child Quarterly, 2023
There is a paucity of research on the day-to-day experiences of raising gifted children from the perspective of parents. This qualitative study aimed to delve deeply into the phenomenon by interviewing parents of elementary-age gifted children. We conducted 12 interviews with parents whose children attended gifted schools. The interview…
Descriptors: Intelligence Tests, Elementary School Students, Parents, Child Rearing
Hsu, Ting-Chia; Huang, Hsiu-Ling; Hwang, Gwo-Jen; Chen, Mu-Sheng – Educational Technology & Society, 2023
In traditional instruction, teachers generally deliver the content of textbooks to students via lectures, making teaching activities lack vibrancy. Moreover, in such a one-to-many teaching mode, the teacher is usually unable to check on individual students' learning status or to provide immediate feedback to resolve their learning problems.…
Descriptors: High School Students, Expertise, Decision Making, Artificial Intelligence
Gombert, Sebastian; Di Mitri, Daniele; Karademir, Onur; Kubsch, Marcus; Kolbe, Hannah; Tautz, Simon; Grimm, Adrian; Bohm, Isabell; Neumann, Knut; Drachsler, Hendrik – Journal of Computer Assisted Learning, 2023
Background: Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free-text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task…
Descriptors: Coding, Energy, Scientific Concepts, Formative Evaluation
Mahmut Sami Koyuncu – Open Journal for Educational Research, 2023
This study aims to demonstrate the optimal way to determine the cut-off score to be used to interpret the total scores obtained from an achievement test or scale using the Artificial Neural Networks method. To this end, the multiple-choice item responses in the Booklet-11 Mathematics subtest at the 8th grade level in the TIMSS 2015 Turkey sample…
Descriptors: Standard Setting, Artificial Intelligence, Mathematics Education, Foreign Countries
Rumeng Yan; Xin Zhao; Suvodeep Mazumdar – Education for Information, 2023
Chatbots have experienced significant growth over the past decade, with a proliferation of new applications across various domains. Previous studies also demonstrate the trend of new technologies, especially artificial intelligence, being adopted in libraries. The purpose of this study is to determine the current research priorities and findings…
Descriptors: Academic Libraries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Michael Zabala; Taylor Oldfather – Journal of STEM Education: Innovations and Research, 2023
Recent improvements in advanced artificial intelligence (AI), including large language models (LLMs) such as ChatGPT, and the subsequent release of these models into the public domain have instantly provided the public with technical capabilities that previously required years of engineering education to acquire. The ability of these models to…
Descriptors: Engineering Education, Artificial Intelligence, Computer Mediated Communication, Computer Interfaces
Kurtz, Holly; Lloyd, Sterling; Harwin, Alex; Daniels, Ashlee; Cheseldine, Sarah – Editorial Projects in Education, 2023
In a trend buoyed by new technology purchased to accommodate the remote learning necessitated by the coronavirus pandemic, educators are increasingly using devices and apps to teach core subjects, including math. This report examines perceptions and experiences of teachers, principals, and district leaders around the use of such tools for math…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Teacher Attitudes
Ed. Yi-Fang Lee; Ed. Lung-Sheng Lee – Online Submission, 2023
With the rise of digital technologies, digital learning (DL) has created new opportunities and challenges for traditional education. This book aims to: (1) strengthen the mutual understanding and connection between Taiwan and other countries with high digital competitiveness in promoting DL in primary and secondary schools, so as to facilitate the…
Descriptors: Educational Trends, Electronic Learning, Competition, Comparative Education
Wallwork, Adrian – Springer, 2023
This guide draws on English-related errors from around 6000 papers written by non-native authors, 500 abstracts written by PhD students, and over 2000 hours of teaching researchers how to write and present research papers. This new edition has chapters on exploiting AI tools such as ChatGPT, Google Translate, and Reverso, for generating,…
Descriptors: English for Academic Purposes, Research, Grammar, Language Usage

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