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Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Grantee Submission, 2024
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
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Tae Yeon Kwon; A. Corinne Huggins-Manley; Jonathan Templin; Mingying Zheng – Journal of Educational Measurement, 2024
In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…
Descriptors: Classification, Accuracy, Student Evaluation, Sequential Approach
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Vázquez-Bernal, Bartolomé; Jiménez-Pérez, Roque – Science & Education, 2023
The objective of this work was the theoretical modeling of a construct based on teaching practice about the perception that pupils have of difficulties in problem solving (PS) in experimental sciences, specifically physics, to predict pupil performance in PS. The research was carried out with an incidental sample of second year of secondary…
Descriptors: Teaching Methods, Models, Teacher Attitudes, Science Instruction
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Ke-Hai Yuan; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
Mediation analysis plays an important role in understanding causal processes in social and behavioral sciences. While path analysis with composite scores was criticized to yield biased parameter estimates when variables contain measurement errors, recent literature has pointed out that the population values of parameters of latent-variable models…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Comparative Testing
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Hidayat, Riyan; Syed Zamri, Sharifah Norul Akmar; Zulnaidi, Hutkemri; Abdullah, Mohd Faizal Nizam Lee; Adnan, Mazlini – European Journal of Educational Research, 2021
Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of…
Descriptors: Metacognition, Competence, Mathematical Models, Structural Equation Models
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Gonzales, Joseph E. – Measurement: Interdisciplinary Research and Perspectives, 2021
JMP® Pro has introduced a new structural equation modeling (SEM) platform to its suite of multivariate methods of analysis. Utilizing their graphical user interface, JMP Pro has created a SEM platform that is easily navigable for both experienced and novice SEM users. As a new platform, JMP Pro does not have the capacity to implement certain…
Descriptors: Structural Equation Models, Multivariate Analysis, Usability, Factor Analysis
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Etzkowitz, Henry; Dzisah, James; Clouser, Michael – Industry and Higher Education, 2022
The paper delineates three elements of an entrepreneurial university in practice through innovations demonstrating the academic entrepreneurial transition: the "Novum Trivium," Professors of Practice (PoPs) and Link initiatives. The "Novum Trivium" provides a model for the integration of entrepreneurship into a liberal arts…
Descriptors: Entrepreneurship, Educational Innovation, Liberal Arts, Cultural Awareness
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Deborah L. Hall; Yasin N. Silva; Brittany Wheeler; Lu Cheng; Katie Baumel – International Journal of Bullying Prevention, 2022
Cyberbullying has become increasingly prevalent, particularly on social media. There has also been a steady rise in cyberbullying research across a range of disciplines. Much of the empirical work from computer science has focused on developing machine learning models for cyberbullying detection. Whereas machine learning cyberbullying detection…
Descriptors: Bullying, Computer Mediated Communication, Social Media, Research
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San Martín, Ernesto; González, Jorge – Journal of Educational and Behavioral Statistics, 2022
The nonequivalent groups with anchor test (NEAT) design is widely used in test equating. Under this design, two groups of examinees are administered different test forms with each test form containing a subset of common items. Because test takers from different groups are assigned only one test form, missing score data emerge by design rendering…
Descriptors: Tests, Scores, Statistical Analysis, Models
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Zhu, Xinhua; Wu, Han; Zhang, Lanfang – IEEE Transactions on Learning Technologies, 2022
Automatic short-answer grading (ASAG) is a key component of intelligent tutoring systems. Deep learning is an advanced method to deal with recognizing textual entailment tasks in an end-to-end manner. However, deep learning methods for ASAG still remain challenging mainly because of the following two major reasons: (1) high-precision scoring…
Descriptors: Intelligent Tutoring Systems, Grading, Automation, Models
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Glaveanu, Vlad; Kaufman, James C. – Gifted Education International, 2022
What is the aim of giftedness? Is the goal to narrow in on the gifts of a select few or to nurture everyone's gifts such that they may be exchanged with each other? Drawing from creativity theory, we emphasize the possible interactive element of giftedness. Current paradigms risk ignoring hidden creativities and for potential to remain in the…
Descriptors: Gifted, Creativity, Cooperation, Models
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Julia-Kim Walther; Martin Hecht; Steffen Zitzmann – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such as pilot studies or when populations are inherently small, increasing samples sizes is not feasible. As a remedy, we propose a two-stage regularized…
Descriptors: Sample Size, Hierarchical Linear Modeling, Structural Equation Models, Matrices
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Funda Ugurlu; Filiz Evran Acar – Journal of Pedagogical Research, 2025
The aim of this study is to develop a valid and reliable measurement tool to identify teachers' tendencies towards professional development models. In line with the purpose of scale development, a survey model was preferred. The scale was designed to be applicable to teachers from various disciplines currently working in any institution…
Descriptors: Measures (Individuals), Test Reliability, Test Validity, Faculty Development
Bradley T. Erford – Pearson, 2025
"Transforming the School Counseling Profession" is an introduction that conveys how the roles of the professional school counselor fit together comprehensively. Using easy-to-understand language and illustrated with numerous applied examples, case studies and vignettes, it connects theory to practice with real examples of practitioners…
Descriptors: School Counseling, School Counselors, Counselor Role, Change
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Yiwei Qiu; Ella Ruth Anaya; Sergio Cepero Espinosa – International Education Studies, 2025
This paper presents a critical review of theoretical models on institutional internationalization in higher education. Over the past three decades, scholars have proposed numerous frameworks to understand internationalization processes, yet gaps persist in their practical application and integration. Through a systematic and evaluative examination…
Descriptors: Higher Education, International Education, Models, Literature Reviews
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