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Toker, Türker; Seidel, Kent – International Journal of Contemporary Educational Research, 2023
Although the Rasch model is used to measure latent traits like attitude or ability where there are multiple latent structures within the dataset it is best to use a technique called the Mixture Rasch Model (MRM) which is a combination of a Rasch model and a latent class analysis (LCA). This study used data from a survey for teachers, teacher…
Descriptors: Item Response Theory, Beginning Teachers, Teacher Competencies, Teacher Effectiveness
Jung, Hyunyi; Magiera, Marta T. – Mathematical Thinking and Learning: An International Journal, 2023
This paper contributes to accumulating the knowledge base about prospective elementary school teachers' (PTs') understanding of socio-critical modeling by exploring how PTs make connections to features of mathematical modeling and social justice while posing mathematical problems and reflecting on their problem-posing. We present a conceptual…
Descriptors: Mathematical Models, Social Justice, Problem Solving, Preservice Teachers
Grobelina, Iwona; Mazurkiewicz, Malgorzata; Janus, Damian – Informatics in Education, 2023
Background: Petri nets are a formal specification technique for modelling of control processes and modern flexible manufacturing systems. Interpreted Petri nets take into account input and output signals, allowing to apply them in any control system or even in control part of a cyber-physical system. Due to the fact that Petri nets are not used in…
Descriptors: Game Based Learning, Video Games, College Students, Student Attitudes
Zhou, Yizhuo; Zhao, Jin; Zhang, Jianjun – Interactive Learning Environments, 2023
On e-learning platforms, most e-learners didn't complete the course successfully. It means that reducing dropout is a critical problem for the sustainability of e-learning. This paper aims to establish a predictive model to describe e-learners' dropout behavior, which can help the commercial e-learning platforms to make appropriate interventions…
Descriptors: Electronic Learning, Prediction, Dropouts, Student Behavior
Wang, Tianyi; Fisher, Linda – International Journal of Multilingualism, 2023
While interest in multilingualism is growing, in the field of motivation little research has examined the role played by learners' multilingual selves in constructing their motivation to learn a foreign language other than English (LOTE). Based on a dynamic model of the L2 Motivational Self System, this study explores how Chinese undergraduates'…
Descriptors: Foreign Countries, Undergraduate Students, Learning Motivation, Multilingualism
Spinuzzi, Clay – Journal of Workplace Learning, 2023
Purpose: This paper aims to consider ways to visually model data generated by qualitative case studies, pointing out a need for visualizations that depict both synchronic relations across representations and how those relations change diachronically. To develop an appropriate modeling approach, the paper critically examines Max Boisot's I-Space…
Descriptors: Visual Aids, Data, Qualitative Research, Case Studies
Cox, Kyle; Kelcey, Benjamin – Educational and Psychological Measurement, 2023
Multilevel structural equation models (MSEMs) are well suited for educational research because they accommodate complex systems involving latent variables in multilevel settings. Estimation using Croon's bias-corrected factor score (BCFS) path estimation has recently been extended to MSEMs and demonstrated promise with limited sample sizes. This…
Descriptors: Structural Equation Models, Educational Research, Hierarchical Linear Modeling, Sample Size
Adlof, Lauren; Kim, Minkyoung; Crawley, William – TechTrends: Linking Research and Practice to Improve Learning, 2023
Undergraduate student retention is considered a critical issue in higher education, due to its impact on student success, degree completion, and the financial health of universities (Cataldi et al., 2018; Cornelius & Cavanaugh, 2016; Hermes, "Community College Journal," 82(4), 26, 2012; Tinto, "NACADA Journal," 19(2), 5-9,…
Descriptors: Undergraduate Students, School Holding Power, Performance Technology, Academic Achievement
Ramotowska, Sonia; Steinert-Threlkeld, Shane; Maanen, Leendert; Szymanik, Jakub – Cognitive Science, 2023
According to logical theories of meaning, a meaning of an expression can be formalized and encoded in truth conditions. Vagueness of the language and individual differences between people are a challenge to incorporate into the meaning representations. In this paper, we propose a new approach to study truth-conditional representations of vague…
Descriptors: Computation, Models, Semantics, Decision Making
Wang, Chung-Jen – Asia-Pacific Education Researcher, 2023
This study aims to explore college students' learning and academic self-efficacy in self-regulated learning and the effectiveness of learner-centered education by integrating the bridge-in, objective, pre-assessment, participatory learning, post-assessment, and summary (BOPPPS) model and interactive response system (IRS) tool. Accordingly,…
Descriptors: Self Efficacy, Learning Strategies, College Students, Student Centered Learning
Citrohn, Björn; Stolpe, Karin; Svensson, Maria – International Journal of Technology and Design Education, 2023
In this study, we aim to investigate activities using models in a design project in three technology classrooms. Activities that use models are important for students' development of knowledge and skills connected to the design process. Nevertheless, few empirical studies have thus far examined how models and modelling are used in a classroom…
Descriptors: Models, Design, Technology Education, Secondary School Students
Seo, Michael; Furukawa, Toshi A.; Karyotaki, Eirini; Efthimiou, Orestis – Research Synthesis Methods, 2023
Clinical prediction models are widely used in modern clinical practice. Such models are often developed using individual patient data (IPD) from a single study, but often there are IPD available from multiple studies. This allows using meta-analytical methods for developing prediction models, increasing power and precision. Different studies,…
Descriptors: Prediction, Models, Patients, Data Analysis
Matsuo, Makoto – International Journal of Training and Development, 2023
This study examines how middle managers support their employees' strengths use via three sequential analyses. In Study 1, an open-ended questionnaire survey of high-performing middle managers at a global manufacturer in Japan (n = 144) was conducted to collect comments on strengths use support (SUS). The grounded theory approach was used to…
Descriptors: Middle Management, Employees, Job Performance, Administrator Attitudes
De Cat, Cécile; Unsworth, Sharon – Journal of Child Language, 2023
Paradis' keynote article provides a comprehensive overview of factors influencing bilingual children's dual language abilities. It includes the 'usual suspects', such as input quantity, and also highlights areas requiring further investigation, such as cognitive abilities. As such, it will no doubt serve as a valuable basis for the field as we…
Descriptors: Influences, Predictor Variables, Bilingualism, Causal Models
Wind, Stefanie A.; Ge, Yuan – Measurement: Interdisciplinary Research and Perspectives, 2023
In selected-response assessments such as attitude surveys with Likert-type rating scales, examinees often select from rating scale categories to reflect their locations on a construct. Researchers have observed that some examinees exhibit "response styles," which are systematic patterns of responses in which examinees are more likely to…
Descriptors: Goodness of Fit, Responses, Likert Scales, Models