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Sandip Sinharay; Matthew S. Johnson – Journal of Educational Measurement, 2024
Culturally responsive assessments have been proposed as potential tools to ensure equity and fairness for examinees from all backgrounds including those from traditionally underserved or minoritized groups. However, these assessments are relatively new and, with few exceptions, are yet to be implemented in large scale. Consequently, there is a…
Descriptors: Culturally Relevant Education, Evaluation, Equal Education, Disadvantaged
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Montree Chinsomboon; Pallop Piriyasurawong – Higher Education Studies, 2024
The article is in the second phase of research is about "the big data architecture for pre-teacher preparation supply chain with prescriptive analytics of higher education in Thailand". The objectives of the study were (1) to study the pre-teacher preparation supply chain in Thailand, (2) to develop a model the big data system for the…
Descriptors: Supply and Demand, Information Management, Preservice Teacher Education, Preservice Teachers
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Slaviša Radovic; Niels Seidel; Joerg M. Haake; Regina Kasakowskij – Journal of Computer Assisted Learning, 2024
Background: Self-assessment serves to improve learning through timely feedback on one's solution and iterative refinement as a way to improve one's competence. However, the complexity of the self-assessment process is widely recognized, as well as that students can benefit from it only if their assessment is accurate enough. Objectives: In order…
Descriptors: Self Evaluation (Individuals), Distance Education, Student Behavior, Accuracy
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Kyle Cox; Ben Kelcey; Hannah Luce – Journal of Experimental Education, 2024
Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a…
Descriptors: Randomized Controlled Trials, Monte Carlo Methods, Hierarchical Linear Modeling, Educational Research
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Cheng-Yu Hsieh; Marco Marelli; Kathleen Rastle – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
Most printed Chinese words are compounds built from the combination of meaningful characters. Yet, there is a poor understanding of how individual characters contribute to the recognition of compounds. Using a megastudy of Chinese word recognition (Tse et al., 2017), we examined how the lexical decision of existing and novel Chinese compounds was…
Descriptors: Semantics, Orthographic Symbols, Chinese, Reading Processes
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Melanie Palmer; Zhaonan Fang; Matthew J. Hollocks; Tony Charman; Andrew Pickles; Gillian Baird; Emily Simonoff – Journal of Autism and Developmental Disorders, 2024
Objective: Attention Deficit Hyperactivity Disorder (ADHD) is a common co-occurring condition in autistic individuals. ADHD is sometimes first recognised in young adulthood because ADHD symptoms may be misattributed to autism due to superficial overlap in presentation and diagnostic overshadowing. It should be investigated whether ADHD…
Descriptors: Screening Tests, Attention Deficit Hyperactivity Disorder, Young Adults, Autism Spectrum Disorders
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Jimmy Tobin; Phillip Nelson; Bob MacDonald; Rus Heywood; Richard Cave; Katie Seaver; Antoine Desjardins; Pan-Pan Jiang; Jordan R. Green – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines the effectiveness of automatic speech recognition (ASR) for individuals with speech disorders, addressing the gap in performance between read and conversational ASR. We analyze the factors influencing this disparity and the effect of speech mode--specific training on ASR accuracy. Method: Recordings of read and…
Descriptors: Foreign Countries, Speech Impairments, Computational Linguistics, Artificial Intelligence
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Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
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Helen N. Levenson; Sara Amato; Ian Bogus; Fern E. Brody; Mary Miller; Jacob Nadal – College & Research Libraries, 2024
Shared print programs are helping their member libraries right-size their collections. As they do, there are concerns about the adverse impact of bibliographic inaccuracies. This paper studies bibliographic record inaccuracies and the resulting frequency of mismatches between an item owned and the record representing ownership. Through analysis of…
Descriptors: Libraries, Library Automation, Library Materials, Library Services
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Binbin Zhao; Rim Razzouk – International Journal of Web-Based Learning and Teaching Technologies, 2024
In order to promote the growth of contemporary music and the reform of music, this article designs an improved collaborative filtering (CF) algorithm to solve the problem of sparse matrix in traditional recommendation algorithms. The data matrix is dimensionally reduced to find the nearest neighbor, so as to realize personalized recommendation of…
Descriptors: Music Education, Higher Education, Teaching Methods, Matrices
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Junhuan Wei; Liufen Luo; Yan Cai; Dongbo Tu – Journal of Educational and Behavioral Statistics, 2024
Response times (RTs) facilitate the quantification of underlying cognitive processes in problem-solving behavior. To provide more comprehensive diagnostic feedback on strategy selection and attribute profiles with multistrategy cognitive diagnosis model (CDM) and utilize additional information for item RTs, this study develops a multistrategy…
Descriptors: Reaction Time, Problem Solving, Selection Criteria, Accuracy
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Kelly Edwards; James Soland – Educational Assessment, 2024
Classroom observational protocols, in which raters observe and score the quality of teachers' instructional practices, are often used to evaluate teachers for consequential purposes despite evidence that scores from such protocols are frequently driven by factors, such as rater and temporal effects, that have little to do with teacher quality. In…
Descriptors: Classroom Observation Techniques, Teacher Evaluation, Accuracy, Scores
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Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
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Sho Ohigashi; Shuhei Takagi; Yusuke Moriguchi – European Journal of Developmental Psychology, 2024
Emotion labels can be helpful for creating emotion categories. Russell and Widen (2002) demonstrated the label superiority effect; that is, emotion labels produce a more precise categorization of emotional faces than the corresponding emotional faces. The current study aimed to test the label superiority effect on emotional voices and examined…
Descriptors: Emotional Intelligence, Nonverbal Learning, Pictorial Stimuli, Foreign Countries
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Xun Yan; Yuyun Lei; Chilin Shih – Applied Linguistics, 2024
There is a prevailing belief that second language (L2) textbooks should strive for authenticity, aiming to accurately and reliably represent natural language use. However, assessing the authenticity of language textbooks is not a straightforward task, as it requires both a comparison between instructional texts and real-world language use and a…
Descriptors: Textbooks, Universities, Chinese, Language Usage
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