Publication Date
In 2025 | 0 |
Since 2024 | 5 |
Descriptor
Models | 5 |
Synthesis | 5 |
Computer Simulation | 2 |
Information Technology | 2 |
Physical Environment | 2 |
Science Instruction | 2 |
Simulated Environment | 2 |
Abstract Reasoning | 1 |
Accuracy | 1 |
Biochemistry | 1 |
Chemistry | 1 |
More ▼ |
Source
International Journal of… | 1 |
Journal of Chemical Education | 1 |
Journal of Civil Engineering… | 1 |
Research Synthesis Methods | 1 |
ZDM: Mathematics Education | 1 |
Author
Amanda Konet | 1 |
Angie E. Xu | 1 |
Ayça K. Fackler | 1 |
B. Mobaraki | 1 |
Barbara Nussbaumer-Streit | 1 |
Brian J. Esselman | 1 |
Cara E. Schwarz | 1 |
Daniel K. Capps | 1 |
F. Calderón | 1 |
F. Lozano-Galant | 1 |
Gerald Gartlehner | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 5 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Grade 11 | 1 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Gerald Gartlehner; Leila Kahwati; Rainer Hilscher; Ian Thomas; Shannon Kugley; Karen Crotty; Meera Viswanathan; Barbara Nussbaumer-Streit; Graham Booth; Nathaniel Erskine; Amanda Konet; Robert Chew – Research Synthesis Methods, 2024
Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…
Descriptors: Data Collection, Evidence, Synthesis, Language Processing
Philip P. Lampkin; Angie E. Xu; Brian J. Esselman; Cara E. Schwarz; Sebastian D. Thompson; Samuel H. Gellman; Nicholas J. Hill – Journal of Chemical Education, 2024
Synthesis of (Z)-alkenes is challenging because the (E) stereoisomers are usually more stable. Energy transfer photocatalysis has emerged as an efficient strategy for (E) [right arrow] (Z) alkene isomerization. We report the development of an advanced undergraduate laboratory experiment that introduces students to contemporary organic…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Synthesis
Otman Jaber; Sara Bagossi; Michael N. Fried; Osama Swidan – ZDM: Mathematics Education, 2024
This paper describes how students conceptualize real-life phenomena in which two or more quantities are covarying in an augmented reality environment. With this technology, real-world phenomena and virtual representations may be connected simultaneously. We aim to investigate how students connect elements of the two worlds when conceptualizing…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
F. Lozano-Galant; R. Porras; B. Mobaraki; F. Calderón; J. Gonzalez-Arteaga; J. A. Lozano-Galant – Journal of Civil Engineering Education, 2024
Traditionally, civil engineering infrastructures have been represented through two-dimensional (2D) drawings, which can lead to interpretation errors and jeopardize engineers' understanding of complex projects. However, with the development of building information modeling (BIM) methodology, civil engineering projects can now be virtually modeled…
Descriptors: Civil Engineering, Physical Environment, Simulated Environment, Synthesis
Ayça K. Fackler; Daniel K. Capps – International Journal of Science Education, 2024
The literature on scientific modelling practices in science education has provided a fruitful discussion on how learners tend to view models vs. how and what they should think about them. One approach is to teach students that models are abstractions so that they do not view them as a copy of phenomena they represent. Although teaching students…
Descriptors: Science Education, Scientific Concepts, Models, Science Instruction