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Atilla Ergin; Yelkin Diker Coskun – International Journal on Social and Education Sciences, 2024
This study aims to develop a scale to measure the design thinking process and to evaluate the reliability and validity of this scale. It fills this gap by introducing a 36-item scale specifically designed to measure design thinking abilities across the five key stages of the design thinking process: empathize, define, ideate, prototype, and test,…
Descriptors: Design, Thinking Skills, Likert Scales, Empathy
Engin Yilmaz; Macid Ayhan Melekoglu – Reading & Writing Quarterly, 2024
This study aimed to evaluate the efficacy of the Repeated Reading and Visual Comprehension Program (TOGAP) developed to support the reading comprehension skills of primary school students with specific learning disabilities (SLD) in the 2nd, 3rd, and 4th grades. The research was conducted with four primary school students with SLD. The changing…
Descriptors: Elementary School Students, Students with Disabilities, Learning Disabilities, Program Effectiveness
Talita Fortunato-Tavares; Debora Befi-Lopes; John Orazem; Aparecido Soares – Language Acquisition: A Journal of Developmental Linguistics, 2024
Children with Developmental Language Disorder (DLD) show a wide range of impairments, including poor pre-reading skills and decoding difficulties due to phonological deficits and such difficulties have significant repercussions on the acquisition of written language. However, evidence about reading processes and development is mainly available for…
Descriptors: Reading Skills, Foreign Countries, Language Impairments, Developmental Disabilities
Gautham Arun; Vivek Perumal; Francis Paul John Bato Urias; Yan En Ler; Bryan Wen Tao Tan; Ranganath Vallabhajosyula; Emmanuel Tan; Olivia Ng; Kian Bee Ng; Sreenivasulu Reddy Mogali – Anatomical Sciences Education, 2024
Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…
Descriptors: Artificial Intelligence, Teaching Methods, Computational Linguistics, Anatomy
Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
Smail Layes; Sana Tibi; Marjolaine Cohen; Linda Lombardino – Learning Disability Quarterly, 2024
This study examined the relationships between word reading and rapid automatized naming (RAN) for objects and letters in Arabic-speaking children with and without dyslexia to determine potential modulating effects of color on naming by comparing children's performance on color and black-white RAN plates. Participants were 114 Arabic-speaking third…
Descriptors: Naming, Reading Skills, Arabic, Grade 3
Erin West; Shani Dettman – Language, Speech, and Hearing Services in Schools, 2024
Purpose: There are well-established guidelines for the recording, transcription, and analysis of spontaneous oral language samples by researchers, educators, and speech pathologists. In contrast, there is presently no consensus regarding methods for the written documentation of sign language samples. The Handshape Analysis Recording Tool (HART) is…
Descriptors: Documentation, Sign Language, Bilingual Education, Biculturalism
Saleem Malik; K. Jothimani – Education and Information Technologies, 2024
Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…
Descriptors: Algorithms, Decision Making, At Risk Students, Learning Management Systems
Pere J. Ferrando; Fabia Morales-Vives; Ana Hernández-Dorado – Educational and Psychological Measurement, 2024
In recent years, some models for binary and graded format responses have been proposed to assess unipolar variables or "quasi-traits." These studies have mainly focused on clinical variables that have traditionally been treated as bipolar traits. In the present study, we have made a proposal for unipolar traits measured with continuous…
Descriptors: Item Analysis, Goodness of Fit, Accuracy, Test Validity
Sedat Sen; Allan S. Cohen – Educational and Psychological Measurement, 2024
A Monte Carlo simulation study was conducted to compare fit indices used for detecting the correct latent class in three dichotomous mixture item response theory (IRT) models. Ten indices were considered: Akaike's information criterion (AIC), the corrected AIC (AICc), Bayesian information criterion (BIC), consistent AIC (CAIC), Draper's…
Descriptors: Goodness of Fit, Item Response Theory, Sample Size, Classification
Ben Van Dusen; Heidi Cian; Jayson Nissen; Lucy Arellano; Adrienne D. Woods – Sociology of Education, 2024
This investigation examines the efficacy of multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) over fixed-effects models when performing intersectional studies. The research questions are as follows: (1) What are typical strata representation rates and outcomes on physics research-based assessments? (2) To what…
Descriptors: Educational Research, Intersectionality, Critical Race Theory, STEM Education
Hatice Merve Imir; K. Büsra Kaynak-Ekici; Z. Fulya Temel – Infant and Child Development, 2024
This study examines metacognitive monitoring in Turkish preschoolers aged 48--66 months, crucial for their learning and development. A specialised paired-association task was designed to assess higher-order thinking skills in this age group. Data from 160 children (52.5% girls, 47.5% boys; mean age 57.6 months, standard deviation 4.8) were…
Descriptors: Test Construction, Test Validity, Metacognition, Educational Assessment
Mananshaya Phetruchee; Sakgavin Siriwattanakula; Phakamas Jirajarupat – International Journal of Education and Literacy Studies, 2024
Mixed-methods research is employed to investigate the implementation of the Stanislavski system in the study of Thai court drama. This study investigates the successful application of the Stanislavski method in Thai Court Theater, focusing on its role in enabling actors to portray emotions with accuracy and conviction. Research methods encompass…
Descriptors: Drama, Teaching Methods, Learning Processes, Theater Arts
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
Juliette Quadri; Justine Masson; Martine Poncelet – Reading and Writing: An Interdisciplinary Journal, 2024
The purpose of this study was to investigate if a group of sixth-grade low achievement language minority (LM) students' reading skills could be improved by an intervention designed to train reading fluency, a critical component of reading development, defined as integrating speed and accuracy (reading rate) as well as prosody. The study included…
Descriptors: Reading Programs, Reading Rate, Grade 6, Low Achievement

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