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Masahiro Hirai; Ayaka Ikeda; Takeo Kato; Takahiro Ikeda; Kosuke Asada; Yoko Hakuno; Kanae Matsushima; Tomonari Awaya; Shin Okazaki; Toshihiro Kato; Toshio Heike; Masatoshi Hagiwara; Takanori Yamagata; Kiyotaka Tomiwa; Ryo Kimura – Journal of Autism and Developmental Disorders, 2025
Purpose: With the current study, we aimed to reveal the similarities and differences in sensory profiles between Williams syndrome (WS) and autism spectrum disorder. Methods: Using the sensory profile questionnaire completed by the caregivers, we analyzed the WS (n = 60, 3.4-19.8 years) and autistic (n = 39, 4.2-14.0 years) groups. Results: The…
Descriptors: Sensory Experience, Profiles, Autism Spectrum Disorders, Genetic Disorders
Wei Ping Sze; Jane Warren; Carol Sacchett; Wendy Best – International Journal of Language & Communication Disorders, 2025
Background: Current clinical approaches to the treatment of spoken word-finding difficulties in acquired aphasia encourage multimodal cueing, especially the joint application of written and spoken forms. Research that exclusively examines the effects and mechanisms of written cues is limited, with most studies engaging written forms only as part…
Descriptors: Oral Language, Chronic Illness, Aphasia, Orthographic Symbols
Mohammad Ghulam Ali – Online Submission, 2025
This research article establishes the relationship between key performance indicators and the academic and research quality performance and assessment and quality assurance of any large multidisciplinary academic and research institution or university. The indicators in terms of qualitative and quantitative are being proposed below and are…
Descriptors: Research Universities, Reputation, Educational Quality, Educational Assessment
Min Wu; Peiyao Tian; Daner Sun; Dan Feng; Ma Luo – International Journal of Science and Mathematics Education, 2025
This study aimed to develop a comprehensive diagnostic tool for assessing upper-secondary school students' understanding of isomers, expanding upon existing two- and three-tier conceptual diagnostic methods. By incorporating 'Confidence Rating Factor' tiers within the answer and reason sections, a four-tier test was designed and developed. This…
Descriptors: Secondary School Science, High School Students, Scientific Concepts, Science Tests
Hamed Ghaemi; Robert Kirkpatrick – Language Testing in Asia, 2025
This study examines the impact of teacher metapathy, or teachers' capacity to comprehend and sympathize with students' emotional and cognitive requirements, on the academic outcomes of IELTS applicants, such as total band scores, motivation, and language learning orientation. Ten IELTS teachers from five language training centers and 100 IELTS…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Scores
Owen Henkel; Hannah Horne-Robinson; Libby Hills; Bill Roberts; Josh McGrane – International Journal of Artificial Intelligence in Education, 2025
This paper reports on a set of three recent experiments utilizing large-scale speech models to assess the oral reading fluency (ORF) of students in Ghana. While ORF is a well-established measure of foundational literacy, assessing it typically requires one-on-one sessions between a student and a trained rater, a process that is time-consuming and…
Descriptors: Foreign Countries, Oral Reading, Reading Fluency, Literacy
Kylie Gorney; Sandip Sinharay – Educational and Psychological Measurement, 2025
Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…
Descriptors: Scores, Test Theory, Test Items, Testing
Jiawei Xiong; George Engelhard; Allan S. Cohen – Measurement: Interdisciplinary Research and Perspectives, 2025
It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…
Descriptors: Responses, Test Items, Test Format, Grade 8
Huei-Wen Tsai; Ching-Ling Cheng – Journal of Psychoeducational Assessment, 2025
This study aimed to evaluate the psychometric properties and gather evidence supporting the validity of scores from a traditional Chinese version of the Claremont Purpose Scale (TC-CPS) among Taiwanese adolescents. The TC-CPS, measuring meaningfulness, goal directedness, and beyond-the-self orientation, was administered to 233 high school and 445…
Descriptors: Foreign Countries, Adolescents, Measures (Individuals), High School Students
Jose Berengueres – Discover Education, 2025
GPT-based models have enabled the creation of natural language chatbots that support both Inquiry-Based and Structured Learning approaches. This study offers a direct comparison of these two paradigms within a UNIX Shell scripting course by means of two chatbots: a Lesson Plan-Driven chatbot that ensures all students cover the same topics…
Descriptors: Lesson Plans, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Oliver Lüdtke; Alexander Robitzsch – Journal of Experimental Education, 2025
There is a longstanding debate on whether the analysis of covariance (ANCOVA) or the change score approach is more appropriate when analyzing non-experimental longitudinal data. In this article, we use a structural modeling perspective to clarify that the ANCOVA approach is based on the assumption that all relevant covariates are measured (i.e.,…
Descriptors: Statistical Analysis, Longitudinal Studies, Error of Measurement, Hierarchical Linear Modeling
Yunpeng Ma; Mingzhang Zuo; Yujie Yan; Heng Luo; Kunyu Wang – Distance Education, 2025
Student engagement has been shown to function as a pathway leading to valued educational outcomes. This study used fuzzy-set qualitative comparative analysis (fsQCA) to reveal how various configurations of sex, grade level, teaching presence, social presence, perceived usefulness, perceived ease of use, and parental support lead to high online…
Descriptors: Online Courses, Learner Engagement, Elementary School Students, Middle School Students
José Antonio López-López; Rubén López-Nicolás; Alejandro Sandoval-Lentisco; Julio Sánchez-Meca; Alejandro Veas – Journal of Psychoeducational Assessment, 2025
The School Attitude Assessment Survey-Revised (SAAS-R) is a popular scale for assessing attitudinal and motivational aspects of students' academic achievement. However, evidence on key psychometric properties of the SAAS-R such as reliability remains limited. We conducted a reliability generalization study of the SAAS-R using meta-analytic…
Descriptors: Attitude Measures, Student Attitudes, School Attitudes, Psychometrics
Zifeng Liu; Wanli Xing; Xinyue Jiao; Chenglu Li; Wangda Zhu – Education and Information Technologies, 2025
The ability of large language models (LLMs) to generate code has raised concerns in computer science education, as students may use tools like ChatGPT for programming assignments. While much research has focused on higher education, especially for languages like Java and Python, little attention has been given to K-12 settings, particularly for…
Descriptors: High School Students, Coding, Artificial Intelligence, Electronic Learning
Justine Leigh Hamilton; Erin Paige Hopkins; Cassandra Marie Kerr – International Journal of Language & Communication Disorders, 2025
Background: Developing treatment goals and hierarchies is fundamental to effective intervention. Despite this, interventions are often vaguely or ambiguously described, negatively impacting outcome measurement, client engagement, and team communication. THIMS (Target, Hierarchy, Ingredients, Measures, Success Criterion) is a novel intervention…
Descriptors: Goal Orientation, Speech Language Pathology, Intervention, Outcome Measures

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