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Alenezi, Mamdouh – Education Sciences, 2021
In the present times, digital transformation has gained momentum. Contemporary higher education institutions have been embracing new technologies and transforming their practices, business models and process. Digital transformation in the higher education institutions is about the development of new more advanced and effective methods and…
Descriptors: Educational Change, Higher Education, Information Technology, Institutional Mission
Hosseinzadeh, Mostafa – ProQuest LLC, 2021
In real-world situations, multidimensional data may appear on large-scale tests or attitudinal surveys. A simple structure, multidimensional model may be used to evaluate the items, ignoring the cross-loading of some items on the secondary dimension. The purpose of this study was to investigate the influence of structure complexity magnitude of…
Descriptors: Item Response Theory, Models, Simulation, Evaluation Methods
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Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
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Mario Alberto de la Puente Pacheco; Carlos Mario de Oro Aguado; Elkyn Lugo Arias; Heidy Rico; Diana Cifuentes; Merlys Tafur – Interactive Learning Environments, 2023
This Article analyses the effectiveness of Simulation-Based Learning Model ASEAN Meeting in enhancing critical thinking skills and academic performance compared to the conventional teaching method among 216 International Relations undergraduate students on the north coast of Colombia. A t-student test, Welch test, and the Kendall Tau correlation…
Descriptors: Critical Thinking, Models, Inquiry, Active Learning
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Matta, Tyler H.; Rutkowski, Leslie; Rutkowski, David; Liaw, Yuan-Ling – Large-scale Assessments in Education, 2018
This article provides an overview of the R package lsasim, designed to facilitate the generation of data that mimics a large scale assessment context. The package features functions for simulating achievement data according to a number of common IRT models with known parameters. A clear advantage of lsasim over other simulation software is that…
Descriptors: Measurement, Data, Simulation, Item Response Theory
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Marwan Abualrob; Thawra Awad – Science Education International, 2024
This study aims to develop an augmented reality (AR) board game for teaching atomic models and measure its effectiveness from the student's point of view. The Analysis, Design, Development, Implementation, and Evaluation model was used to create the AR board game to help achieve the study objectives. The study collected data from three focus…
Descriptors: Computer Simulation, Educational Technology, Models, Instructional Effectiveness
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Tara Powell; Greta Wetzel; Jodi Berger Cardoso – Children & Schools, 2024
The Journey of Hope (JoH) is an evidence-based behavioral health prevention intervention model designed for disaster-affected children and youth. While the in-person JoH model has been extensively delivered and studied, the virtual implementation of this intervention, specifically tailored for the unique needs of children and youth during the…
Descriptors: Psychological Patterns, COVID-19, Pandemics, Natural Disasters
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Fatma Karaismailoglu; Mehtap Yildirim – Research in Science & Technological Education, 2024
Background: Spatial ability has an important place in science education, which is effective in raising future scientists. Although not in large numbers, studies show that teachers' spatial abilities somehow affect their teaching practices in the classroom and thus the spatial abilities of their students. Purpose: This study aimed to investigate…
Descriptors: Models, Educational Technology, Computer Simulation, Flipped Classroom
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Kangasrääsiö, Antti; Jokinen, Jussi P. P.; Oulasvirta, Antti; Howes, Andrew; Kaski, Samuel – Cognitive Science, 2019
This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional…
Descriptors: Inferences, Computation, Cognitive Processes, Models
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Hsiao, Ling; Lee, Irene; Klopfer, Eric – British Journal of Educational Technology, 2019
Computer modeling promotes mechanistic reasoning when learners build and analyze models of complex systems to explore causal mechanisms and use models to generate patterns. StarLogo Nova (SLN), an agent-based modeling (ABM) environment, enables novice programmers to model a system's individual components and investigate its emergent, collective…
Descriptors: Logical Thinking, Computer Simulation, Models, Computer Science Education
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Chu, Man-Wai; Leighton, Jacqueline P. – Journal of Science Education and Technology, 2019
Digitally simulated laboratory assessments (DSLAs) may be used to measure competencies such as problem solving and scientific inquiry because they provide an environment that allows the process of learning to be captured. These assessments provide many benefits that are superior to traditional hands-on laboratory tasks; as such, it is important to…
Descriptors: Computer Simulation, Science Laboratories, Formative Evaluation, Feedback (Response)
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Fujimoto, Ken A. – Educational and Psychological Measurement, 2019
Advancements in item response theory (IRT) have led to models for dual dependence, which control for cluster and method effects during a psychometric analysis. Currently, however, this class of models does not include one that controls for when the method effects stem from two method sources in which one source functions differently across the…
Descriptors: Bayesian Statistics, Item Response Theory, Psychometrics, Models
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Conway, Andrew R. A.; Kovacs, Kristof; Hao, Han; Rosales, Kevin P.; Snijder, Jean-Paul – Journal of Intelligence, 2021
Process overlap theory (POT) is a new theoretical framework designed to account for the general factor of intelligence ("g"). According to POT, g does not reflect a general cognitive ability. Instead, "g" is the result of multiple domain-general executive attention processes and multiple domain-specific processes that are…
Descriptors: Individual Differences, Attention, Intelligence, Executive Function
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Senger, Kim; Betlem, Peter; Birchall, Thomas; Buckley, Simon J.; Coakley, Bernard; Eide, Christian H.; Flaig, Peter P.; Forien, Melanie; Galland, Olivier; Gonzaga, Luiz; Jensen, Maria; Kurz, Tobias; Lecomte, Isabelle; Mair, Karen; Malm, Rie Hjørnegaard; Mulrooney, Mark; Naumann, Nicole; Nordmo, Ivar; Nolde, Nils; Ogata, Kei; Rabbel, Ole; Schaaf, Niklas W.; Smyrak-Sikora, Aleksandra – Journal of Geoscience Education, 2021
The high Arctic is a remote place, where geoscientific research and teaching require expensive and logistically demanding expeditions to make use of the short field seasons. The absence of vegetation facilitates the use of modern photogrammetric techniques for the cost-effective generation of high-resolution digital outcrop models (DOMs). These…
Descriptors: Earth Science, Models, Databases, Foreign Countries
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Wainman, Bruce; Pukas, Giancarlo; Wolak, Liliana; Mohanraj, Sylvia; Lamb, Jason; Norman, Geoffrey R. – Anatomical Sciences Education, 2020
Anatomy education has been revolutionized through digital media, resulting in major advances in realism, portability, scalability, and user satisfaction. However, while such approaches may well be more portable, realistic, or satisfying than traditional photographic presentations, it is less clear that they have any superiority in terms of student…
Descriptors: Computer Simulation, Depth Perception, Medical Education, Anatomy
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