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Amal Abdullah Alibrahim – South African Journal of Education, 2024
After ChatGPT was released late in 2022, many arguments about its accuracy and use in education arose. In this article, I seek to provide evidence of the accuracy and validity of ChatGPT's responses to users' queries in education by applying a systematic review methodology to analyse publications in specific databases following PRISMA guidelines…
Descriptors: Artificial Intelligence, Technology Uses in Education, Reliability, Natural Language Processing
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Gary D. Fisk – Teaching of Psychology, 2025
Introduction: Recent innovations in generative artificial intelligence (AI) technologies have led to an educational environment in which human authorship cannot be assumed, thereby posing a significant challenge to upholding academic integrity. Statement of the problem: Both humans and AI detection technologies have difficulty distinguishing…
Descriptors: Technology Uses in Education, Writing (Composition), Plagiarism, Identification
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Jay Fie Paler Luzano – International Journal of Technology in Education, 2025
Integrating artificial intelligence (AI) technologies into various educational domains has garnered significant attention. Among these technologies, ChatGPT stands out as a powerful tool that holds the potential to revolutionize the landscape of mathematics education. This study aims to explore the emerging trends and critical issues surrounding…
Descriptors: Mathematics Education, Educational Trends, Artificial Intelligence, Technology Uses in Education
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Ferdiye Çobanogullari – The EUROCALL Review, 2024
This literature review delves into the applications and implications of ChatGPT, an artificial intelligence-driven chatbot, in educational settings. As technology continues to permeate the field of education, ongoing debates persist regarding the potential impact on learners' critical thinking skills and the evolving role of educators. Instead of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Educational Strategies
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Schiller, Isabel S.; Remacle, Angélique; Durieux, Nancy; Morsomme, Dominique – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Background noise and voice problems among teachers can degrade listening conditions in classrooms. The aim of this literature review is to understand how these acoustic degradations affect spoken language processing in 6- to 18-year-old children. Method: In a narrative report and meta-analysis, we systematically review studies that…
Descriptors: Acoustics, Voice Disorders, Oral Language, Language Processing
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Yang, Xiujie; Yan, Mengge; Ruan, Yijun; Ku, Serena Yuk Yee; Lo, Jason Chor Ming; Peng, Peng; McBride, Catherine – Journal of Educational Psychology, 2022
The present study presents a meta-analysis of the relations between phonological processing abilities and different mathematics subskills. Using a random-effects model with 94 studies (135 unique samples, 826 effect sizes), the present meta-analysis revealed a significant general association between phonological processing and mathematics (average…
Descriptors: Mathematics Instruction, Phonology, Language Processing, Meta Analysis
Jinnie Shin; Renu Balyan; Michelle P. Banawan; Tracy Arner; Walter L. Leite; Danielle S. McNamara – Grantee Submission, 2023
Despite the proliferation of video-based instruction and its benefits--such as promoting student autonomy and self-paced learning--the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital teaching methodologies. As such, there's a pressing need to examine and comprehend the…
Descriptors: Algebra, Mathematics Instruction, Video Technology, Personal Autonomy
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Silva, Valtemir A.; Bittencourt, Ig Ibert; Maldonado, Jose C. – IEEE Transactions on Learning Technologies, 2019
Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…
Descriptors: Questioning Techniques, Classification, Man Machine Systems, Information Retrieval
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Jones, Samuel David; Brandt, Silke – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Despite the apparent primacy of syntactic deficits, children with developmental language disorder (DLD) often also evidence lexical impairments. In particular, it has been argued that this population have difficulty forming lexical representations that are detailed enough to support effective spoken word processing. In order to better…
Descriptors: Decision Making, Meta Analysis, Effect Size, Syntax
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Jackson, Daniel O.; Suethanapornkul, Sakol – Language Learning, 2013
This study employed synthetic and meta-analytic techniques to review the literature on the Cognition Hypothesis, which predicts that increasing task complexity influences the quality of second language production. Based on 8 inclusion criteria, 17 published studies were synthesized according to key features. A subset of these studies (k = 9) was…
Descriptors: Linguistic Theory, Teaching Methods, Meta Analysis, Language Processing