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Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Teena L. Martin – ProQuest LLC, 2024
This study investigated the understudied area of virtual reality (VR) creation among elementary-aged youth, exploring their engagement in VR creation and the ways in which educators can facilitate this creative process. Using an embedded case study, the researcher examined how the youth visualize writing using the VR creation tool, CoSpaces. To…
Descriptors: Computer Simulation, Elementary School Students, Grade 3, Grade 4
Robson M. Araujo-Junior; Alec M. Bodzin – Interactive Learning Environments, 2024
Digital game-based and gamified technologies hold much promise to promote the development of learners' conceptual knowledge. This efficacy study used desktop virtual reality (dVR) to investigate how the place-based digital gameful learning experience (DGLE) "Watershed Explorers", implemented as a curriculum enhancement activity, impacted…
Descriptors: Game Based Learning, Place Based Education, Learning Experience, Middle School Students
Dora Kourkoulou, Editor; Anastasia-Olga Tzirides, Editor; Bill Cope, Editor; Mary Kalantzis, Editor – Springer, 2024
"Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines" is a resource for researchers and practitioners in a field where the mainstreaming of AI technologies, and their increased capacities for deception, have produced confusion and fear. Identifying theoretical frameworks and practices in teaching…
Descriptors: Trust (Psychology), Inclusion, Artificial Intelligence, Technology Uses in Education
Šedivá, Blanka – International Journal for Technology in Mathematics Education, 2019
The Monte Carlo method is one of the basic simulation statistical methods which can be used both to demonstrate basic probability and statistical concepts as well as to analyse the behaviour stochastic models. The introduction part of the article provides a brief description of the Monte Carlo method. The main part of the article is concentrated…
Descriptors: Simulation, Monte Carlo Methods, Teaching Methods, Mathematics Instruction
Moore, Christina C.; Hubbard, Julie; Morrow, Michael T.; Barhight, Lydia R.; Lines, Meghan M.; Sallee, Meghann; Hyde, Christopher T. – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2019
The goal of the present study was to test the hypothesis that, when children respond to peer provocation assertively, their physiology at that moment will be marked by high levels of respiratory sinus arrhythmia (RSA). Participants were 35 European American (66%), African American (27%), Latino American (3%), and mixed race/ethnicity (3%) children…
Descriptors: Peer Relationship, Physiology, Bullying, Computer Simulation
Çankaya, Serkan – Journal of Educational Technology and Online Learning, 2019
In recent years, it can be said that the use of new virtual reality related technologies increased swiftly. Especially virtual reality headsets have become an important device in virtual reality and augmented reality applications. As a consequence of these developments, researchers started to investigate the use of virtual reality headsets in many…
Descriptors: Computer Simulation, Technology Uses in Education, Literature Reviews, Content Analysis
User Behavior Pattern Detection in Unstructured Processes -- A Learning Management System Case Study
Codish, David; Rabin, Eyal; Ravid, Gilad – Interactive Learning Environments, 2019
Process mining methodologies are designed to uncover underlying business processes, deviations from them, and in general, usage patterns. One of the key limitations of these methodologies is that they struggle in cases in which there is no structured process, or when a process can be performed in many ways. Learning Management Systems are a…
Descriptors: Integrated Learning Systems, Case Studies, Behavior Patterns, Learning Analytics
Ponce Campuzano, J. C.; Roberts, A. P.; Matthews, K. E.; Wegener, M. J.; Kenny, E. P.; McIntyre, T. J. – International Journal of Mathematical Education in Science and Technology, 2019
In this paper we present two simulations designed with GeoGebra that illustrate dynamically a key concept in Vector Calculus: line integrals of vector fields, along with other associated mathematical properties and applications. Students are not required to know the GeoGebra environment: a user-friendly interface with buttons, functionalities and…
Descriptors: Visualization, Computer Simulation, Calculus, Mathematical Concepts
Bork, Felix; Stratmann, Leonard; Enssle, Stefan; Eck, Ulrich; Navab, Nassir; Waschke, Jens; Kugelmann, Daniela – Anatomical Sciences Education, 2019
Early exposure to radiological cross-section images during introductory anatomy and dissection courses increases students' understanding of both anatomy and radiology. Novel technologies such as augmented reality (AR) offer unique advantages for an interactive and hands-on integration with the student at the center of the learning experience. In…
Descriptors: Computer Simulation, Radiology, Anatomy, Educational Benefits
Cleary, Timothy J.; Konopasky, Abigail; La Rochelle, Jeffrey S.; Neubauer, Brian E.; Durning, Steven J.; Artino, Anthony R., Jr. – Advances in Health Sciences Education, 2019
To be safe and effective practitioners and learners, medical professionals must be able to accurately assess their own performance to know when they need additional help. This study explored the metacognitive judgments of 157 first-year medical students; in particular, the study examined students' self-assessments or calibration as they engaged in…
Descriptors: Medical Students, Metacognition, Clinical Experience, Bias
Hall, Scott S.; Anderson, Carol L.; Koukel, Sonja D.; Renwick, Kerry; Rogus, Stephanie – Journal of Family and Consumer Sciences, 2019
The authors examine family and consumer sciences (FCS) education. Titles in the article include: (1) Same-sex Marriage, Monogamy, Technology among Hot Topics in Family Studies (Scott S. Hall); (2) Dialogue Needed To Address Diversity, Divisiveness, Technology (Carol L. Anderson); (3) Use of Simulation in Dietetic Student Learning (Stephanie Rogus…
Descriptors: Family Life Education, Consumer Education, Marriage, Homosexuality
Garcia-Bonete, Maria-Jose; Jensen, Maja; Katona, Gergely – Biochemistry and Molecular Biology Education, 2019
Although virtual and augmented reality (VR and AR) techniques have been used extensively in specialized laboratories, only recently did they become affordable, reaching wider consumer markets. With increased availability, it is timely to examine the roles that VR and AR may play in teaching structural biology and in experiencing complex data sets…
Descriptors: Biology, Science Instruction, Teaching Methods, Simulated Environment
Peffer, Melanie E.; Ramezani, Niloofar – International Journal of STEM Education, 2019
Background: Achieving science literacy requires learning disciplinary knowledge, science practices, and development of sophisticated epistemological beliefs about the nature of science and science knowledge. Although sophisticated epistemological beliefs about science are important for attaining science literacy, students' beliefs are difficult to…
Descriptors: Epistemology, Beliefs, Student Attitudes, Science Instruction
Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation

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