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Lee Nelson; Nic James; Scott Nicholls; Nimai Parmar; Ryan Groom – Sport, Education and Society, 2025
The discipline of performance analysis is founded upon the collection and analysis of objective and reliable data to support the coaching process. While research has begun to identify the potential importance of trust in applied sporting environments, there remains a paucity of inquiry that seeks to explicitly investigate trustworthiness in the…
Descriptors: Trust (Psychology), Work Environment, Athletics, Performance
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Yan Xia; Xinchang Zhou – Educational and Psychological Measurement, 2025
Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…
Descriptors: Factor Analysis, Statistical Analysis, Evaluation Methods, Sampling
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Susan K. Johnsen – Gifted Child Today, 2025
The author provides information about reliability and areas that educators should examine in determining if an assessment is consistent and trustworthy for use, and how it should be interpreted in making decisions about students. Reliability areas that are discussed in the column include internal consistency, test-retest or stability, inter-scorer…
Descriptors: Test Reliability, Academically Gifted, Student Evaluation, Error of Measurement
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Joseph M. Valenzano III – Communication Teacher, 2025
In this article, I argue that we need to reposition how we think about and talk about assessment from a faculty-focused task to a student-centered process. To demonstrate the impact of this change in thinking, I will share a case study from my time as a basic course director and chair that illustrates the benefits of understanding assessment as a…
Descriptors: Evaluation Methods, Student Centered Learning, Administrators, Administrator Attitudes
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Paul Vincent Smith; Drew Whitworth – Teaching in Higher Education, 2025
Anonymous assessment, introduced to higher education over the last twenty-five years to reduce attainment gaps, is a now common place. This paper suggests some ways in which anonymous assessment could be reconceptualised. We argue that there is scant empirical evidence of anonymity having worked in reducing attainment gaps in higher education. It…
Descriptors: Evaluation Methods, Artificial Intelligence, Higher Education, Teacher Student Relationship
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Yixin Chen; Zhenyang Xi; Talya Greene; Will Mandy – Autism: The International Journal of Research and Practice, 2025
Ecological momentary assessment has been increasingly used in autism studies over the last decade to capture and understand autistic people's behaviours, thoughts, feelings and daily experiences. This systematic review synthesised previous autism ecological momentary assessment studies to learn about the feasibility of ecological momentary…
Descriptors: Autism Spectrum Disorders, Research, Young Adults, Adults
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Sarah Suiter; Kathryn Y. Morgan; Sara Eccleston – American Journal of Evaluation, 2025
Evaluation is essential to achieving program outcomes, especially when stakeholders engage with evaluation and make use of the findings. Both of these activities require evaluation capacity that might not be present in community-based organizations. In this paper, we describe how community-university partnership models can support evaluation…
Descriptors: Evaluation, Capacity Building, School Community Relationship, Community Organizations
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Juuso Henrik Nieminen; Zi Yan; David Boud – Assessment & Evaluation in Higher Education, 2025
Digital technologies allow student self-assessment to be adaptive, scalable and multimodal. Despite such technological advances, digital self-assessment practices have largely reinforced the existing norms around student roles, leaving the fundamentals of self-assessment design untouched. Digital self-assessment has centred on learning outcomes…
Descriptors: Self Evaluation (Individuals), Personal Autonomy, Computer Uses in Education, Student Role
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Haoze Du; Richard Li; Edward Gehringer – International Educational Data Mining Society, 2025
Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a framework for leveraging subjective metrics derived from the class textual materials across different semesters to assess LLM outputs across various tasks. By utilizing…
Descriptors: Artificial Intelligence, Performance, Evaluation, Automation
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Yi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study focuses on the practical teaching mode of vocational education under the background of Internet Plus. The traditional model has some problems, such as lack of resources, single method, weak teachers and one-sided evaluation. The internet has brought many positive effects on practical teaching, such as expanding resources, providing…
Descriptors: Educational Research, Career and Technical Education, Teaching Methods, Internet
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Theresa Elise Wege; Taeko Bourque; Rebecca Merkley; Pierina Cheung – Journal of Numerical Cognition, 2025
The Give-N (give-a-number) task has become a popular assessment of children's number words and counting knowledge since Wynn's (1990, 1992) seminal work over 30 years ago. Using the Give-N task, numerous studies have shown that children learn the first few number words slowly, before they understand how counting represents number. This learning…
Descriptors: Knowledge Level, Numbers, Vocabulary, Computation
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Yu-Ping Cheng; Yueh-Min Huang – International Journal of STEM Education, 2025
Background: STEAM education emphasizes transdisciplinary application and practice; however, there is a lack of comprehensive assessment tools for evaluating K-12 students' transdisciplinary learning. Given the cross-domain instructional and learning approaches in STEAM education, this study aims to develop and validate the Learn, Use, Practice,…
Descriptors: STEM Education, Elementary Secondary Education, Educational Assessment, Evaluation Methods
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Sarah Stebbe Rowe; Dana M. Baker; Andre R. Dupret; Ryan M. Fila; Shelby R. Howard; Trista Chen – Reading & Writing Quarterly, 2025
Selection and implementation of evidence-based reading interventions is a complex process that requires careful consideration of factors such as intervention effectiveness and social validity. Social validity refers to how key stakeholders, including teachers, students, and parents, perceive the goals, methods, and outcomes of an intervention.…
Descriptors: Reading Research, Intervention, Reading Instruction, Validity
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Ming Li; Caixia Li; Yuting Chen; Gwo-Jen Hwang – Education and Information Technologies, 2025
Proficiency in written communication is an essential prerequisite for achievement in both academic settings and broader life contexts, yet many struggle with initiating writing and engaging in deep self-reflection and text revision. To address this challenge, this study integrated augmented reality (AR) technology with formative peer assessment…
Descriptors: Automation, Evaluation Methods, Writing Evaluation, Thinking Skills
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Edmonds, Bruce – International Journal of Social Research Methodology, 2023
This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better…
Descriptors: Models, Prediction, Evaluation Methods, Standards
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