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Xiong Luo – International Journal of Web-Based Learning and Teaching Technologies, 2024
However, although existing models for evaluating the effectiveness of universities provide a large number of modeling solutions, it is difficult to objectively evaluate dynamic coefficients based on the differences in precision ideological and political work systems of different types of universities in the evaluation process of innovative paths…
Descriptors: Educational Research, Ideology, Political Issues, Models
Christopher K. Gadosey; Theresa Schnettler; Anne Scheunemann; Lisa Bäulke; Daniel O. Thies; Markus Dresel; Stefan Fries; Detlev Leutner; Joachim Wirth; Carola Grunschel – European Journal of Psychology of Education, 2024
Although cross-sectional studies depict (negative) emotions as both antecedents and consequences of trait procrastination, longitudinal studies examining reciprocal relationships between procrastination and emotions are scant. Yet, investigating reciprocal relationships between procrastination and emotions within long-term frameworks can shed…
Descriptors: Foreign Countries, Undergraduate Students, Time Management, Anxiety
Megan Shiroda; Clare G.-C. Franovic; Joelyn de Lima; Keenan Noyes; Devin Babi; Estefany Beltran-Flores; Jenna Kesh; Robert L. McKay; Elijah Persson-Gordon; Melanie M. Cooper; Tammy M. Long; Christina V. Schwarz; Jon R. Stoltzfus – CBE - Life Sciences Education, 2024
Causal mechanistic reasoning is a thinking strategy that can help students explain complex phenomena using core ideas commonly emphasized in separate undergraduate courses, as it requires students to identify underlying entities, unpack their relevant properties and interactions, and link them to construct mechanistic explanations. As a…
Descriptors: Undergraduate Students, College Faculty, STEM Education, Science Instruction
Daniel McNeish; Melissa G. Wolf – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Despite the popularity of traditional fit index cutoffs like RMSEA [less than or equal to] 0.06 and CFI [greater than or equal to] 0.95, several studies have noted issues with overgeneralizing traditional cutoffs. Computational methods have been proposed to avoid overgeneralization by deriving cutoffs specifically tailored to the characteristics…
Descriptors: Structural Equation Models, Cutting Scores, Generalizability Theory, Error of Measurement
Takashi Kawakami; Akihiko Saeki – Mathematics Education Research Group of Australasia, 2024
This study elaborates on the pivotal roles of mathematical and statistical models in data-driven predictions in an integrated STEM context using the case of Year 4 students: (?) "a descriptive means" to describe the features of trends and variability of data and (?) "an explanatory means" to explain causal relationships behind…
Descriptors: Mathematical Models, Statistical Analysis, Data Use, Prediction
Saber Abdolmalaki; Mahboubeh Khosravi; Noushin Nouri; Mostafa Ghaderi – Journal of Early Childhood Research, 2024
This phenomenological study aimed to develop a framework integrating play into preschool curriculum based on educators' lived experiences using play-based methods. Fifteen educators from 12 centers were interviewed using theoretical sampling. Data analysis revealed nine pathways linking play types, educator roles, and learning objectives. Results…
Descriptors: Models, Preschool Education, Play, Phenomenology
Colby Gregg; Amanda M. Bowling – Journal of Agricultural Education, 2024
The purpose of this study was to collaborate with School-Based Agriscience Education (SBAE) teachers who identify as LGBTQ+ to examine the unique interactions between their chosen career and their sexual and/or gender minority identities. This phenomenology utilized queer theory to analyze data from semi-structured interviews with individuals who…
Descriptors: LGBTQ People, Agriculture Teachers, Self Concept, Sexual Identity
Leah J. Scharlott; Dalton W. Rippey; Vanessa Rosa; Nicole M. Becker – Journal of Chemical Education, 2024
The alignment of teaching and assessment in chemistry courses is critical for the practice of science and positive student learning outcomes. This paper addresses how instructors can align what they do in class with assessments across topics to improve students' understanding and explanations of chemical phenomena. We drew on the foundations of…
Descriptors: Introductory Courses, Chemistry, Science Education, Causal Models
Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
Joong won Lee; Young-Suk Kim – Reading and Writing: An Interdisciplinary Journal, 2024
The aim of this study is to explore the relation of morphological awareness to vocabulary, word reading, and reading comprehension for middle school students in Korea. A total of 121 students (73 boys and 48 girls) in Grade 7 from two middle schools in a metropolitan city in South Korea participated in the study. The students were assessed on the…
Descriptors: Foreign Countries, Middle School Students, Reading Comprehension, Word Recognition
Mohammed Alhwaiti – International Journal of Developmental Disabilities, 2024
The aim was to investigate the mediating role of emotional regulation and emotional expression in the relationship between autistic traits and empathy in Saudi students. Participants were undergraduate students at Umm Al-Qura University. A total of 398 questionnaires were sent out, and 260 valid questionnaires were received. Descriptive statistics…
Descriptors: Foreign Countries, Undergraduate Students, Emotional Response, Self Control
Towards Automatic Question Generation Using Pre-Trained Model in Academic Field for Bahasa Indonesia
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Carlos Valiente; Tracy L. Spinrad; Nancy Eisenberg; Brian Ray – Journal of School Choice, 2024
Studies exploring homeschooling typically focus on comparing homeschoolers to conventionally schooled peers on a range of academic outcomes. Largely absent from the literature are within-group studies designed to identify experiences that facilitate (or hinder) homeschoolers' academic outcomes. The aim of this paper is to describe a heuristic…
Descriptors: Heuristics, Models, Home Schooling, Academic Achievement
Margarita Pivovarova; Audrey Amrein-Beardsley – Educational Assessment, Evaluation and Accountability, 2024
In this study, we estimated the relationship between two popular measures of teacher effectiveness--teachers' value-added model (VAM) estimates, represented in this study via median growth percentiles (MGPs), and teachers' observational scores, derived from the TAP System for Teacher and Student Advancement. We examined the relationship between…
Descriptors: Teacher Evaluation, Evaluation Methods, Value Added Models, Correlation
Erin W. Post – ProQuest LLC, 2024
Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…
Descriptors: Regression (Statistics), Multivariate Analysis, Statistical Distributions, Bayesian Statistics

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