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Pavlik, Philip I., Jr.; Eglington, Luke G.; Zhang, Liang – Grantee Submission, 2021
We describe a data mining pipeline to convert data from educational systems into knowledge component (KC) models. In contrast to other approaches, our approach employs and compares multiple model search methodologies (e.g., sparse factor analysis, covariance clustering) within a single pipeline. In this preliminary work, we describe our approach's…
Descriptors: Information Retrieval, Knowledge Management, Models, Research Methodology
Jahabar, Jahangeer Mohamed; Toh, Tin Lam; Tay, Eng Guan; Tong, Cherng Luen – Mathematics Education Research Group of Australasia, 2023
Big Ideas in school mathematics can be seen as overarching concepts that occur in various mathematical topics in a syllabus. For teachers, this knowledge can be used to help students develop a better understanding of mathematics by making visible the central ideas, and connection across topics and across levels. For students, this knowledge can…
Descriptors: Mathematics Education, Mathematics Instruction, Mathematics Curriculum, Teaching Methods
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Çavus, Baris; Sarpkaya, Ruhi – Psycho-Educational Research Reviews, 2021
The purpose of this research was to develop a "Crabs in a Bucket at Schools Scale" (CBSS) measuring the perceptions of teachers regarding crab mentality in educational organizations. The data of the study was collected in 2019-2020 academic year from high school teachers working at different high schools of Aydin province, located in…
Descriptors: Test Construction, High School Teachers, Teacher Attitudes, Foreign Countries
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Kiliç, Abdullah Faruk; Uysal, Ibrahim – Turkish Journal of Education, 2019
In this study, the purpose is to compare factor retention methods under simulation conditions. For this purpose, simulations conditions with a number of factors (1, 2 [simple]), sample sizes (250, 1.000, and 3.000), number of items (20, 30), average factor loading (0.50, 0.70), and correlation matrix (Pearson Product Moment [PPM] and Tetrachoric)…
Descriptors: Simulation, Factor Structure, Sample Size, Test Length
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Yazicilar Nalbantoglu, Ümran; Bümen, Nilay T.; Uslu, Öner – Teacher Development, 2022
Curriculum adaptation portrays the way teachers 'tweak' the curriculum. The findings of related studies are based solely on qualitative data, and there is no instrument that can determine curriculum adaptation patterns. Based on this gap, the aim of this study is to develop the Curriculum Adaptation Patterns Scale (CAPS). After examining the…
Descriptors: Curriculum Development, Test Construction, Factor Analysis, Test Reliability
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Josef Guggemos; Roman Rietsche; Stephan Aier; Jannis Strecker; Simon Mayer – International Association for Development of the Information Society, 2024
Technological advancements, particularly in artificial intelligence, significantly transform our society and work practices. Computational thinking (CT) has emerged as a crucial 21st-century skill, enabling individuals to solve problems more effectively through an automation-oriented perspective and fundamental concepts of computer science. To…
Descriptors: Computation, Thinking Skills, 21st Century Skills, Test Construction
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Lybrya Kebreab; Sarah B. Bush; Debbie Hahs-Vaughn; Farshid Safi; Janet Andreasen; Christa Jackson – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This investigation utilized publicly available data from the High School Longitudinal Study 2009 (HSLS:09) by the National Center for Educational Statistics (NCES) to examine any latent structures among variables which may empirically support the validity and reliability of a mathematical sense of belonging (MSB) construct. Using the nationally…
Descriptors: Factor Analysis, Longitudinal Studies, Mathematics Education, Student Attitudes
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Logan, Jessica; Jiang, Hui; Yeomans-Maldonado, Gloria – AERA Online Paper Repository, 2018
In education research, conceptual models are becoming more complex and more challenging to fit. In response, many researchers have turned to multi-step model fitting processes; first fitting confirmatory factor analyses (CFA) to their data, then extracting the latent factor scores; converting them to observed variables to use in additional…
Descriptors: Factor Analysis, Sample Size, Correlation, Statistical Bias
Wesley Morris; Scott Crossley; Langdon Holmes; Chaohua Ou; Danielle McNamara; Mihai Dascalu – Grantee Submission, 2023
As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to readings. This study develops models to automatically provide feedback to student summaries written at the end of intelligent textbook sections.…
Descriptors: Textbooks, Electronic Publishing, Feedback (Response), Formative Evaluation
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Lu, Rui; Keller, Bryan Sean – AERA Online Paper Repository, 2019
When estimating an average treatment effect with observational data, it's possible to get an unbiased estimate of the causal effect if all confounding variables are observed and reliably measured. In education, confounding variables are often latent constructs. Covariate selection methods used in causal inference applications assume that all…
Descriptors: Factor Analysis, Predictor Variables, Monte Carlo Methods, Comparative Analysis
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Li, Xinyuan; Duan, Yanyan; Lu, Tong; Zhao, Guoqing – International Association for Development of the Information Society, 2020
Concept mapping is a practical approach to meaningful learning, and emotion is one of the most important factors that affect students' learning. However, few studies have focused on learners' emotions of concept mapping. This research aims to develop and verify a CM-ES and to investigate university students' emotions of concept mapping with the…
Descriptors: Test Construction, Test Validity, Concept Mapping, Psychological Patterns
Wang, Huan; Kim, Dong-In – Online Submission, 2022
A fundamental premise in assessment is that the underlying construct is equivalent across different groups of students and that this structure does not vary over years. The pandemic has potentially impacted opportunity to learn and disrupted the internal structure of assessments in various ways. Past research has suggested that students tended to…
Descriptors: Measurement, Error of Measurement, COVID-19, Pandemics
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Baskonus, Turan; Soyer, Fikret – International Journal of Psychology and Educational Studies, 2020
The aim of this study is to develop a scale that measures the attitudes of physical education and sports teachers towards measurement and evaluation. In this study, scale development principles and steps of DeVellis (2017) were used. Initially, a literature review was conducted, 19 physical education and sports teachers were interviewed in written…
Descriptors: Test Construction, Teacher Attitudes, Physical Education Teachers, Test Items
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Kizilay, Esra; Yamak, Havva; Kavak, Nusret – European Journal of Educational Sciences, 2020
In this study, it is aimed to develop a scale to be used to determine the STEM career interest of high school students. Because, when STEM career studies in the literature are examined, the lack of STEM career scale for high school students is remarkable. In this research, developing STEM Career Interest Scale for high school students is important…
Descriptors: Test Construction, STEM Education, Vocational Interests, High School Students
Ipekel, Ilknur Izgi; Sahin, Harun – Online Submission, 2019
The purpose of this research is to prepare a valid and reliable measurement tool in order to determine the acquisition of teacher candidates under the hidden curriculum in teacher training process. The research is a field study of descriptive quality. In the development of the scale, firstly the related literature has been examined and a pool of…
Descriptors: Foreign Countries, Hidden Curriculum, Likert Scales, Teacher Education
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