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Chang, Minyu; Brainerd, C. J. – Metacognition and Learning, 2023
Making judgments of learning (JOLs) can sometimes modify subsequent memory performance, which is referred to as JOL reactivity. We evaluated two major theoretical explanations of JOL reactivity and used the dual-retrieval model to pinpoint the retrieval processes that are modified by JOLs. The changed-goal hypothesis assumes that JOLs highlight…
Descriptors: Cues, Evaluative Thinking, Models, Recall (Psychology)
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Kandel, Matthew – Mathematics Teacher: Learning and Teaching PK-12, 2023
The mathematical modeling process is also a powerful way to teach students the meaning of data. In mathematical modeling, students are collecting data to answer a question. Data collection is the means to an end and not the end in itself. The author was looking for an engaging way to introduce his third-grade mathematics class to the skill of…
Descriptors: Mathematical Models, Mathematics Instruction, Elementary School Mathematics, Grade 3
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Karaismailoglu, Fatma; Yildirim, Mehtap – Biochemistry and Molecular Biology Education, 2023
This article presents the integration of Tinkercad, a free online modeling program that allows students to model molecular genetic concepts, into the distance learning process. The students had the opportunity to learn molecular genetics in a fun and more efficient way in spite of the limitations of the COVID-19 lockdown, and, in this respect, it…
Descriptors: Models, Genetics, Molecular Structure, Scientific Concepts
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Kaygisiz, Ismail; Senel, Emine Aysin – Journal of Pedagogical Research, 2023
Educators have long emphasized the importance of relating mathematics to everyday life situations. During the primary school years, mathematical modeling activities play an important role in this regard. Through a mathematical modeling activity prepared in accordance with the length and area measurement learning outcomes in the primary school…
Descriptors: Mathematical Models, Competence, Elementary School Students, Mathematics Activities
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Multazam, Muhammad; Syahrial, Zulfiati; Rusmono – Turkish Online Journal of Distance Education, 2023
Web programming courses are practical courses that can only run with the help of computer devices. The content or learning content in web programming courses is in program code directly created with a computer. The models developed include conceptual models, procedural models, and physical models. The research method used is Research and…
Descriptors: Computer Science Education, Programming, Models, Practicums
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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