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Kim, Su-Young; Huh, David; Zhou, Zhengyang; Mun, Eun-Young – International Journal of Behavioral Development, 2020
Latent growth models (LGMs) are an application of structural equation modeling and frequently used in developmental and clinical research to analyze change over time in longitudinal outcomes. Maximum likelihood (ML), the most common approach for estimating LGMs, can fail to converge or may produce biased estimates in complex LGMs especially in…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Longitudinal Studies, Models
Vasconcelos, Lucas; Kim, ChanMin – Educational Technology Research and Development, 2020
Learning standards for K-12 science education emphasize the importance of engaging students in practices that scientists perform in their profession. K-12 teachers are expected to engage students in scientific modeling, which entails constructing, testing, evaluating, and revising their own models of science phenomena while pursuing an epistemic…
Descriptors: Coding, Science Education, Science Instruction, Models
Fu, Yanyan; Strachan, Tyler; Ip, Edward H.; Willse, John T.; Chen, Shyh-Huei; Ackerman, Terry – International Journal of Testing, 2020
This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and…
Descriptors: Item Response Theory, Models, Test Items, Simulation
Capelo, Carlos; Pereira, Renato; Ferreira Dias, João – International Association for Development of the Information Society, 2020
Simulation-based learning environments are used extensively to support learning in complex business systems. Nevertheless, studies show that subjects have great difficulty in understanding and managing dynamic systems, mainly due to cognitive processing difficulties. Previous research has addressed some aspects of model transparency and…
Descriptors: Simulation, Teaching Methods, Models, Business Education
Stephanie L. Baird; Sonya Klein – Journal of Teaching in Social Work, 2025
This teaching initiative responded to an effort to strengthen the connection between cognitive behavioral therapy (CBT) theory and practice among Master of Social Work (MSW) students. This initiative was developed in response to feedback from our MSW students, who requested further training in CBT skills before entering practicum settings.…
Descriptors: Social Work, Counselor Training, Workshops, Feedback (Response)
Kazoka, Dzintra; Pilmane, Mara; Edelmers, Edgars – Education Sciences, 2021
Combining classical educational methods with interactive three-dimensional (3D) visualization technology has great power to support and provide students with a unique opportunity to use them in the study process, training, and/or simulation of different medical procedures in terms of a Human Anatomy course. In 2016, Riga Stradinš University (RSU)…
Descriptors: Visual Aids, Manipulative Materials, Anatomy, Foreign Countries
Ranger, Jochen; Kuhn, Jörg-Tobias; Wolgast, Anett – Journal of Educational Measurement, 2021
Van der Linden's hierarchical model for responses and response times can be used in order to infer the ability and mental speed of test takers from their responses and response times in an educational test. A standard approach for this is maximum likelihood estimation. In real-world applications, the data of some test takers might be partly…
Descriptors: Models, Reaction Time, Item Response Theory, Tests
Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles
Miia Rissanen; Jyrki Savolainen; Mikael Collan – Policy Futures in Education, 2024
This research explores the suitability of system-based simulation analysis for higher education (HE) policy-planning. A dynamic system model of the Finnish university funding system covering bachelor-level students is presented. The results show that the model captures the nature of the current funding system, which can be considered a zero-sum…
Descriptors: Foreign Countries, Colleges, Financial Support, Educational Finance
Qi Zhang – International Journal of Educational Technology in Higher Education, 2024
This study investigates how engagement (E), foreign language enjoyment (FLE), and ambiguity tolerance (AT) exert mediation/moderation in metaverse-based foreign language learning (FLL). Featuring augment/simulation-based experiences and self-fulfillment/external-control-oriented mechanics, metaverse provides virtualized interactive circumstances…
Descriptors: Second Language Learning, Second Language Instruction, Cognitive Style, Affective Behavior
Strapasson, Alexandre; Ferreira, Marcello; Cruz-Cano, Diego; Woods, Jeremy; do Nascimento Maia Soares, Marco Paulo; da Silva Filho, Olavo Leopoldino – International Journal of Educational Technology in Higher Education, 2022
The use of system dynamics as a learning tool for developing sustainable energy strategies and environmental education has advanced in recent years with the availability of new modelling software and webtools. Among the existing models, we highlight the online 2050 Calculators, which aim at simulating scenarios for greenhouse gas emissions, energy…
Descriptors: Energy Education, Environmental Education, Systems Approach, Computer Simulation
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Özdemir, Erdogan; Coramik, Mustafa – Physics Education, 2022
It is often necessary to enrich the teaching environment in order for students to learn optics in depth and to interpret the real optical situations with the information they have learned. In this study, a virtual teaching environment was developed using by Algodoo, a 2D simulation software. An eye model was created in order to explain the…
Descriptors: Light, Physics, Teaching Methods, Models
Aichinger, Philipp; Kumar, S. Pravin; Lehoux, Hugo; Švec, Jan G. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Laryngeal high-speed videoendoscopy (LHSV) has been recognized as a highly valuable modality for the scientific investigations of vocal fold (VF) vibrations. In contrast to stroboscopic imaging, LHSV enables visualizing aperiodic VF vibrations. However, the technique is less well established in the clinical care of disordered voices,…
Descriptors: Speech Impairments, Video Technology, Acoustics, Phonetics
Reed, Janet M. – ProQuest LLC, 2022
Research literature provides evidence that new graduate nurses are often deficient in clinical judgment (CJ). One way to increase CJ is by using simulations. However, the literature is replete with descriptions of the high anxiety that simulation triggers. It is not currently known how anxiety in simulation affects clinical judgment for…
Descriptors: Nurses, Decision Making, Anxiety, Evidence

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