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Ye Jia; Xiangzhi Eric Wang; Zackary P. T. Sin; Chen Li; Peter H. F. Ng; Xiao Huang; George Baciu; Jiannong Cao; Qing Li – IEEE Transactions on Learning Technologies, 2024
One of the promises of edu-metaverse is its ability to provide a virtual environment that enables us to engage in learning activities that are similar to or on par with reality. The digital enhancements introduced in a virtual environment contribute to our increased expectations of novel learning experiences. However, despite its promising…
Descriptors: Computer Simulation, Educational Technology, Learning Processes, Socialization
Daniel A. Mak; Sebastian Dunn; David Coombes; Carlo R. Carere; Jane R. Allison; Volker Nock; André O. Hudson; Renwick C. J. Dobson – Biochemistry and Molecular Biology Education, 2024
Enzymes are nature's catalysts, mediating chemical processes in living systems. The study of enzyme function and mechanism includes defining the maximum catalytic rate and affinity for substrate/s (among other factors), referred to as enzyme kinetics. Enzyme kinetics is a staple of biochemistry curricula and other disciplines, from molecular and…
Descriptors: Biochemistry, Kinetics, Science Instruction, Teaching Methods
Zhong Zhengtao; Riyan Hidayat – Mathematics Teaching Research Journal, 2025
Incorporating technology into educational processes is increasingly necessary to address the complexities of contemporary learning environments. This study investigates the impact of Augmented Reality (AR) on the academic performance of third-grade students in the areas of graphs and geometry. A quasi-experimental design was employed, comparing a…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Mathematics Achievement
Fajar Kurnianto; Anggi Datiatur Rahmat; Heru Kuswanto – Pegem Journal of Education and Instruction, 2024
Learning activities related to students' real-life experiences may create meaningful learning. Integrating traditional games into the physics classroom can reconstruct local knowledge into scientific knowledge. The use of technology can affect student learning achievement. One of the technologies currently attracting attention is Augmented reality…
Descriptors: Computer Simulation, Educational Technology, Critical Thinking, Graphs
Smith, Joseph R.; Snapp, Bart; Madar, Savva; Brown, Jonathan R.; Fowler, Jim; Andersen, Maeve; Porter, Christopher D.; Orban, Chris – PRIMUS, 2023
We present a free student-facing tool for creating 3D plots and smartphone-based virtual reality (VR) visualizations for STEM courses. Visualizations are created through an in-browser interface using simple plotting commands. Then QR codes are generated, which can be interpreted with a free smartphone app, requiring only an inexpensive Google…
Descriptors: STEM Education, Telecommunications, Handheld Devices, Computer Simulation
A. Lynn Stephens – Journal of Research in Science Teaching, 2024
It is widely recognized that we need to prepare students to think with data. This study investigates student interactions with digital data graphs and seeks to identify what might prompt them to shift toward using their graphs as thinking tools in the authentic activity of doing science. Drawing from video screencast data of three small groups…
Descriptors: Graphs, Data, Interaction, Electronic Learning
Germia, Erell; York, Toni; Panorkou, Nicole – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Many studies use instructional designs that include two or more artifacts (digital manipulatives, tables, graphs) to support students' development of reasoning about covarying quantities. While students' forms of covariational reasoning and the designs are often the focus of these studies, the way students' interactions and transitions between…
Descriptors: Thinking Skills, Mathematics Instruction, Grade 6, Cooperative Learning
McCulloch, Allison W.; Lovett, Jennifer N. – Eye on Education, 2023
This timely book provides support for secondary mathematics teachers learning how to enact high-quality, equitable math instruction with dynamic, mathematics-specific technologies. Using practical advice from their own work as well as from interviews with 23 exceptional technology-using math teachers, the authors develop a vision of teaching with…
Descriptors: Secondary School Teachers, Mathematics Teachers, Mathematics Instruction, Educational Technology
Chukhnov, Anton; Maytarattanakhon, Athit; Posov, Ilya; Pozdniakov, Sergei – Informatics in Education, 2020
The paper discusses a certain type of competitions based on distance interaction of a participant with simulation models of concepts from discrete mathematics and computer science. One of them is the "Construct, Test, Explore" (CTE) competition, developed by the authors, the other is the Olympiad in Discrete Mathematics and Theoretical…
Descriptors: Graphs, Computer Simulation, Mathematics, Computer Science
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
Roman, Claudia; Delgado, Miguel A.; Garcia-Morales, Moises – Chemical Engineering Education, 2021
The benefits of using Microsoft Excel built-in functions in an undergraduate Multistage Separations course are analyzed based on 15 years of experience teaching mass transfer in Chemical Engineering programs at both the Bachelor's and Master's levels. Eight reasons for using spreadsheets in a Mass Transfer virtual course are given. Through the…
Descriptors: Computation, Spreadsheets, Undergraduate Students, Engineering Education
Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
Absher, Mikayla L.; Piephoff, Caroline C.; Sitar, David J. – Physics Teacher, 2019
Throughout time people have been measuring the rising and setting positions of celestial objects with respect to the horizon. The motivation for this paper is to provide a link between mathematical and observational approximations for the Sun's declination (angular distance from the celestial equator). One source had students do an experiment with…
Descriptors: Science Instruction, Physics, Mathematics, Astronomy
Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
Kalinowski, Steven T. – Educational and Psychological Measurement, 2019
Item response theory (IRT) is a statistical paradigm for developing educational tests and assessing students. IRT, however, currently lacks an established graphical method for examining model fit for the three-parameter logistic model, the most flexible and popular IRT model in educational testing. A method is presented here to do this. The graph,…
Descriptors: Item Response Theory, Educational Assessment, Goodness of Fit, Probability
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