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Selcuk Acar; Kelly Berthiaume; Katalin Grajzel; Denis Dumas; Charles Flemister; Peter Organisciak – Gifted Child Quarterly, 2023
In this study, we applied different text-mining methods to the originality scoring of the Unusual Uses Test (UUT) and Just Suppose Test (JST) from the Torrance Tests of Creative Thinking (TTCT)--Verbal. Responses from 102 and 123 participants who completed Form A and Form B, respectively, were scored using three different text-mining methods. The…
Descriptors: Creative Thinking, Creativity Tests, Scoring, Automation
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Meike Akveld; George Kinnear – International Journal of Mathematical Education in Science and Technology, 2024
Many universities use diagnostic tests to assess incoming students' preparedness for mathematics courses. Diagnostic test results can help students to identify topics where they need more practice and give lecturers a summary of strengths and weaknesses in their class. We demonstrate a process that can be used to make improvements to a mathematics…
Descriptors: Mathematics Tests, Diagnostic Tests, Test Items, Item Analysis
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Ebru Öztürk; Erol Duran – Educational Policy Analysis and Strategic Research, 2024
In this study, it was aimed to develop a rubric to evaluate the creative story writing skill levels of seventh grade secondary school students. The research was designed in quantitative research method and survey model. In the research, convenience sampling technique was used and 270 students studying at the seventh grade level of secondary school…
Descriptors: Scoring Rubrics, Writing Evaluation, Creative Writing, Middle School Students
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Julian F. Lohmann; Steffen Zitzmann; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…
Descriptors: Time Management, Behavioral Science Research, Predictive Validity, Predictor Variables
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García, Alfonso Javier; Froment, Facundo A.; Bohórquez, María Rocío – Journal of New Approaches in Educational Research, 2023
University students' motivation can be affected by several factors, one being their perceptions of teacher behaviour in the classroom. This study aimed to predict university students' state motivation from their perceptions of teacher credibility. The participants were 344 students from the University of Seville. A structural equation model was…
Descriptors: College Students, Credibility, Teaching Methods, Student Motivation
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Molontay, Roland; Nagy, Marcell – Assessment & Evaluation in Higher Education, 2023
An essential task in higher education is to construct a fair admission procedure. A great deal of research has been conducted on a central aspect of admission: predictive validity. However, to the best of our knowledge, this is the first study that investigates how the predictive validity of a composite admission score could be improved without…
Descriptors: College Admission, Predictive Validity, Scores, College Entrance Examinations
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Sanhokwe, Hamfrey; Chinyamurindi, Willie; Muzurura, Joe – Journal of Workplace Learning, 2023
Purpose: This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model. Design/methodology/approach: A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup…
Descriptors: Organizational Learning, Measurement, Models, Foreign Countries
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de Boer, Timon; Van Rijnsoever, Frank J. – Assessment & Evaluation in Higher Education, 2023
Prospective graduate students are usually required to have attained an undergraduate degree in a related field and high prior grades to gain admission. There is consensus that some relatedness between the students' undergraduate and graduate programs is required for admission. We propose a new measurement for this relatedness using cosine…
Descriptors: College Admission, Undergraduate Study, Graduate Study, Grades (Scholastic)
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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Middle School Students, Middle School Mathematics, Reading Comprehension, Intelligent Tutoring Systems
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Jolan Hanssens; Carolien Van Soom; Greet Langie – European Journal of Psychology of Education, 2025
The societal demand for graduates with expertise in Science, Technology, Engineering, and Mathematics (STEM) stands in contrast with prevalent issues of diminished interest among high school students in STEM subjects and low completion rates in STEM academic programs. In the Flemish educational context, heterogeneity in STEM preparedness of…
Descriptors: Foreign Countries, STEM Education, Higher Education, At Risk Students
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Allyson F. Hadwin; Ramin Rostampour; Philip H. Winne – Educational Psychology Review, 2025
Self-report measures are essential sources of information about learners' studying perceptions. These perceptions also guide self-regulated learning (SRL) decisions and strategies in future studying. However, the development of self-report methods has not kept pace with other multi-modal methodological advancements, particularly in the field of…
Descriptors: Attitude Measures, Student Attitudes, Beliefs, Measurement Techniques
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Tiffany Wu; Christina Weiland; Meghan McCormick; JoAnn Hsueh; Catherine Snow; Jason Sachs – Grantee Submission, 2024
The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the…
Descriptors: Scoring, Executive Function, Kindergarten, Young Children
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Meihua Liu; Zhangwei Chen – Asia-Pacific Education Researcher, 2024
The present large-scale quantitative study investigated the predictive effects of learning strategies and styles on Chinese undergraduate students' English achievement and their mediating effects on each other's relation to English achievement. A total of 439 students from different universities answered the 30-item Perceptual Learning Style…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Learning Strategies
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Cláudio Manoel Ferreira Leite; Herbert Ugrinowitsch; Crislaine Rangel Couto – Journal of Motor Learning and Development, 2024
Knowledge of results (KR), particularly its informational role, has often been regarded as redundant for learning interception-like tasks, such as coincidence-anticipation timing tasks. However, it is possible that the KR's guiding effect might be detrimental to motor adaptation, instead of only redundant, leading to a dependency on KR and…
Descriptors: Foreign Countries, Undergraduate Students, Psychomotor Skills, Motor Development
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Holochwost, Steven J.; Winebrake, Deaven; Brown, Eleanor D.; Happaney, Keith R.; Wagner, Nicholas J.; Mills-Koonce, W. Roger – Journal of Cognition and Development, 2023
The predictive validity of performance on cognitive-behavioral measures of executive function (EF) suggests that these measures index children's underlying capacity for self-regulation. In this paper, we apply ecological systems theory to critically evaluate this assertion. We argue that as typically administered, standard measures of EF do not…
Descriptors: Executive Function, Individual Differences, Measures (Individuals), Predictive Validity
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