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Huili Zhang; Guoliang Xu – International Journal of Web-Based Learning and Teaching Technologies, 2025
The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study…
Descriptors: Multiple Intelligences, Foreign Countries, Chinese, Literature
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Muhamad Taufik Hidayat – Journal of Learning for Development, 2024
The ability to comprehend reading material is a crucial skill for academic and professional success, yet many students struggle with it, negatively impacting their academic performance. This study aimed to assess the effectiveness of AI-based personalised reading platforms in improving reading comprehension among senior high school students. The…
Descriptors: Artificial Intelligence, Reading Comprehension, Academic Achievement, High School Students
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Carlin Conner; Jill H. Allor; Jennifer Stewart; Devin M. Kearns; Amy Gillespie Rouse – Review Journal of Autism and Developmental Disorders, 2023
This literature synthesis examines empirical literature on interventions and measures used in experimental studies of reading comprehension for students with both autism spectrum disorder (ASD) and intellectual disability (ID) or intensive support needs. Eleven studies met inclusion criteria. We present the effectiveness of the interventions and…
Descriptors: Reading Comprehension, Intervention, Autism Spectrum Disorders, Intellectual Disability
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Asmaa Falah Theiyab Alazemi – Language Testing in Asia, 2024
This paper investigates the effects of formative assessment (FA) via artificial intelligence (AI) on EFL students' reading comprehension development, online academic enjoyment, personal best goals (PBGs), and academic mindfulness. To achieve this, 80 Kuwaiti students were selected through convenience sampling and divided into the experimental…
Descriptors: Formative Evaluation, Artificial Intelligence, Reading Comprehension, Electronic Learning
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Samarakou, Maria; Tsaganou, Grammatiki; Papadakis, Andreas – Educational Technology & Society, 2018
Technology-mediated learning is very actively and widely researched, with numerous e-learning environments designed for different educational purposes developed during the past few decades. Still, their organization and texts are not structured according to any theory of educational comprehension. Modern education is even more flexible and, thus,…
Descriptors: Electronic Learning, Cognitive Style, Educational Theories, Teaching Methods
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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
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Zhang, Qiuxin – English Language Teaching, 2021
With the rapid development of economy and technology, more and more fields are combined with electronic intelligence and artificial intelligence, and language teaching is no exception. As a research hot issue, computer-assisted language learning (CALL) has attracted more and more people's attention. Based on computer-aided technology, teachers can…
Descriptors: Second Language Learning, Second Language Instruction, Teaching Methods, Computer Assisted Instruction
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Nozhovnik, Oleh; Harbuza, Tetiana; Teslenko, Natalia; Okhrimenko, Olena; Zalizniuk, Viktoriia; Durdas, Alla – International Journal of Educational Methodology, 2023
The purpose of this study was to examine the potential impact of integrating the Smart Sender platform to gamify and automate L2 e-classes on students' motivation, English language proficiency in reading and language use, engagement, and attitudes towards the platform. This experimental research employed a quasi-experimental design, specifically a…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Assisted Instruction
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Maggie A. Mosher; Lisa A. Dieker; Rebecca Hines – Journal of Special Education Preparation, 2024
The use of artificial intelligence (AI) is not a new concept. Still, the press, the worry, and the hype around the potential benefits and limitations of the explosion of these tools in this field is a current topic in teacher education. In this article, the authors summarize the past use of AI, present easily adaptable tools in teacher education,…
Descriptors: Teacher Education Programs, Futures (of Society), Artificial Intelligence, Computer Software
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Fong, Cathy Yui-Chi – Infant and Child Development, 2023
The present study aimed to examine the role of phonological--semantic flexibility (PSF) in learning to read Chinese. PSF refers to a specific flexibility applied to process the dual linguistic dimensions of words (i.e., sound and meaning). A correlational study (Study 1) was conducted to determine the unique contribution of PSF to three aspects of…
Descriptors: Phonology, Semantics, Reading Processes, Chinese
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Li, Miao; Kirby, John R.; Geva, Esther; Koh, Poh Wee; Zhang, Huan – Journal of Learning Disabilities, 2022
This study examined (a) the identification of various reading groups across languages in Chinese (L1) adolescents learning English as a second language (ESL), in terms of their word-reading and reading comprehension skills, (b) overlap in reading group membership across languages, and (c) the performance of the various reading groups on…
Descriptors: Reading Difficulties, English (Second Language), Second Language Learning, Second Language Instruction
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Celik, Suleyman – International Journal of Language Education, 2019
In this quasi-experimental study, quantitative findings were examined in terms of how grouping students based on their dominant type of Multiple intelligence and providing different Multiple Intelligence activities that correspond to their intelligence type effect the development of their reading skills. A control group and an experimental group…
Descriptors: Reading Comprehension, Undergraduate Students, Pretests Posttests, English (Second Language)
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Varol, Burcu; Erçetin, Gülcan – Computer Assisted Language Learning, 2021
This study explores the role of glosses and working memory capacity (WM) in second language (L2) learners' recall and comprehension in electronic reading. Glosses were investigated in terms of the type of information they provided (lexical versus topic-level) and their location on the screen (pop-up window versus separate window). One…
Descriptors: Reading Processes, Short Term Memory, Reading Comprehension, Recall (Psychology)
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Bilgi, Arzu Doganay; Özmen, E. Rüya – Educational Sciences: Theory and Practice, 2018
This study investigates the effectiveness of Modified Multi-Component Cognitive Strategy Instruction (MMCSI) on expository text comprehension skills of students with mild intellectual disability (ID). Three students participated from inclusion classes of three different secondary schools in Turkey. The study was conducted using a multiple probe…
Descriptors: Reading Comprehension, Mild Intellectual Disability, Reading Strategies, Teaching Methods
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Tonini, Elisabetta; Lecce, Serena; Del Sette, Paola; Bianco, Federica; Canal, Paolo; Bambini, Valentina – First Language, 2022
Although metaphors are essential tools in everyday communication and educational settings, the literature lacks evidence of effective training tools to promote metaphor comprehension in typical development. Grounding in theoretical pragmatics, we developed a novel metaphor comprehension training (MetaCom) for school-age children that focuses on…
Descriptors: Figurative Language, Language Processing, Transfer of Training, Reading Comprehension
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