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Tao Xie; Hanyu Zhang; Yunong Yang – Education and Information Technologies, 2025
A significant body of research has focused on the impact of immersive virtual reality (IVR) on vocabulary retention, but little is known about how to integrate language learning theories in IVR-mediated vocabulary learning. This study aims to examine the effect of IVR that integrate input processing model on vocabulary retention for elementary…
Descriptors: Computer Simulation, Linguistic Input, Models, Second Language Learning
Grapin, Scott E.; Haas, Alison; Llosa, Lorena; Wendel, Daniel; Pierson, Ashlyn; Lee, Okhee – Journal of Research in Science Teaching, 2023
The Next Generation Science Standards (NGSS) have spurred renewed interest in the epistemologies that students adopt as they engage in science practices. One framework for characterizing students' epistemologies is the "epistemologies in practice" framework (Berland et al. (2016), "Journal of Research in Science Teaching,"…
Descriptors: Science Education, Educational Technology, Computer Simulation, Student Diversity
Xiang, Lin; Goodpaster, Sagan; Mitchell, April – Journal of Science Education and Technology, 2022
The "Next Generation Science Standards" call for engaging K-12 students in three-dimensional learning, in which students make sense of phenomena or solve problems by simultaneously using science and engineering practices (SEPs), crosscutting concepts (CCCs), and disciplinary core ideas (DCIs). Decades of education research suggest…
Descriptors: Grade 6, Elementary School Students, Ecology, Scientific Concepts
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Journal of Educational Measurement, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Jorge Salas – Grantee Submission, 2024
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.g., experimental conditions) for various items (i.e., differential response time item analysis). Furthermore,…
Descriptors: Item Response Theory, Reaction Time, Models, Accuracy
Gao, Ruiqin – ProQuest LLC, 2023
This multiple-manuscript dissertation explored the measurement invariance (MI) testing with multiple-group confirmatory factor analysis (MG-CFA) approach from different perspectives. Study 1 explored MI from a theoretical perspective by conducting a systematic review study on MI practices in education. The findings of this study indicated…
Descriptors: Error of Measurement, Factor Analysis, Simulation, Elementary School Students
Colvert, Angela – Cambridge Journal of Education, 2020
Investigations into the digital literacy practices supported by new forms of play can pose significant challenges insofar as researchers and educators lack theoretical frameworks nuanced or flexible enough to map the terrain being explored. In this paper the author presents a new hybrid model of ludic authorship which reconceptualises the…
Descriptors: Technological Literacy, Authors, Correlation, Literacy
Lee, JiHye; Lee, Hyun-Kyung; Jeong, Dabin; Lee, JiEun; Kim, TaeRyun; Lee, JiHyon – International Journal of Art & Design Education, 2021
Traditional museums of culture and history are failing to develop or make effective use of augmented reality (AR) technology. To address this deficit, the present study sought to develop online and offline experiential AR learning tools that would enable children to more fully explore museum artefacts. The study approach was based on the Blended…
Descriptors: Museums, Cultural Education, Computer Simulation, History Instruction
Goksu, Idris; Islam Bolat, Yusuf – Review of Education, 2021
In this meta-analysis, the aim is to determine the overall effect of the ARCS (attention, relevance, confidence, satisfaction) model of motivation on students' academic achievement, motivation, attention, relevance, confidence and satisfaction. Additionally, the effect of the model is analysed according to the learning environment in which the…
Descriptors: Models, Student Motivation, Academic Achievement, Attention
Ponners, Pamela Jones; Piller, Yulia – TechTrends: Linking Research and Practice to Improve Learning, 2019
Research shows that well before children can verbalize their thoughts, they often create internal visual models of what scientists are and what they do (Farland-Smith 2012). Therefore, discovering, understanding and recording a student's own stereotypical perceptions are crucial to science instructors, as it is believed that perceptions may affect…
Descriptors: Educational Technology, Technology Uses in Education, Science Instruction, Cognitive Structures
Thomas, Debra Kelly; Milenkovic, Lisa; Marousky, Annamargareth – Science and Children, 2019
Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…
Descriptors: Computation, Thinking Skills, Computer Simulation, Computer Science Education
Burnett, Cathy; Merchant, Guy – Journal of Literacy Research, 2016
Rich and complex meaning making experiences, such as those associated with virtual play, sit uneasily with the view of literacy reflected in and sustained by current systems of accountability in education. This article develops a baroque perspective as a way of destabilizing the "regime of truth" associated with simple models of…
Descriptors: Elementary School Students, Foreign Countries, Postmodernism, Teaching Methods
Tretter, Thomas R.; Thornburgh, William R.; Duckwall, Mark – Science and Children, 2016
Supporting elementary student understandings of ideas related to Earth's Place in the Universe (ESS1) can be challenging, especially given the large time and distance scales involved with many of the concepts. However, with effective use of crosscutting concepts and science and engineering practices, important concepts within this content domain…
Descriptors: Astronomy, Space Sciences, Elementary School Students, Scientific Concepts
Clement, Benjamin; Roy, Didier; Oudeyer, Pierre-Yves; Lopes, Manuel – Journal of Educational Data Mining, 2015
We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired by students, taking into account the limited time and motivational resources. At a given point in time, the system proposes to the students the activity which makes them progress faster. We introduce two…
Descriptors: Learning Activities, Intelligent Tutoring Systems, Models, Teaching Methods
Schatschneider, Christopher; Wagner, Richard K.; Hart, Sara A.; Tighe, Elizabeth L. – Scientific Studies of Reading, 2016
The present study employed data simulation techniques to investigate the 1-year stability of alternative classification schemes for identifying children with reading disabilities. Classification schemes investigated include low performance, unexpected low performance, dual-discrepancy, and a rudimentary form of constellation model of reading…
Descriptors: Reading Difficulties, Learning Disabilities, At Risk Students, Disability Identification
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