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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
Joseph Alan Lyon – ProQuest LLC, 2022
The concept of computational thinking (CT) has become more prevalent across the engineering education research and teaching landscape. Yet much of the research to date has been more definitional and has not offered many ways to convert CT theory to practice. One prominent set of tools used across engineering disciplines is modeling and simulation,…
Descriptors: Thinking Skills, Computation, Models, Simulation
Semenenko, Liliia; Kirsanov, Serhii; Onofriichuk, Petro; Vasianovych, Mykola; Levchenko, Ihor – Journal of Curriculum and Teaching, 2022
High requirements for professional training of Defence Specialists were and remain the main guarantee of successful functioning of any military structure. Continuous improvement of the educational process in higher military educational institutions is the basis for its transformation to the conditions of the current situation in the world. In the…
Descriptors: Military Training, Mathematical Models, Higher Education, Study
Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory
Renata Passos Machado Vieira; Francisco Regis Vieira Alves; Paula Maria Machado Cruz Catarino – Pedagogical Research, 2024
Considering the content of history of mathematics textbooks, it's evident that their emphasis is primarily on the illustrative aspects of recurring numerical sequences, with a particular focus on the Fibonacci sequence. Unfortunately, this limited approach results in the neglect of other sequences akin to the Fibonacci numbers, thus rendering the…
Descriptors: Preservice Teacher Education, Preservice Teachers, Mathematics Instruction, Mathematics Education
Kenneth Tyler Wilcox; Ross Jacobucci; Zhiyong Zhang; Brooke A. Ammerman – Grantee Submission, 2023
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…
Descriptors: Bayesian Statistics, Content Analysis, Undergraduate Students, Self Destructive Behavior
Neha Sharma; Bharti Badhani; Bhashyam Vaijayanthi; Priyanka Aggarwal; Anshika Gupta – Journal of Chemical Education, 2023
The introduction of Computational Chemistry via "Molecular Modelling and Drug Design" course at undergraduate level has opened wide possibilities for students to expand their knowledge of quantum chemistry, organic reaction mechanisms, protein-ligand interactions, drug design, and probable "in vivo" behavior of drug candidates.…
Descriptors: Computation, Undergraduate Study, Chemistry, Molecular Structure
Gordon, Sheldon P.; Gordon, Florence S. – PRIMUS, 2023
This article makes a case for introducing moving averages into introductory statistics courses and contemporary modeling/data-based courses in college algebra and precalculus. The authors examine a variety of aspects of moving averages and draw parallels between them and similar topics in calculus, differential equations, and linear algebra. The…
Descriptors: College Mathematics, Introductory Courses, Statistics Education, Algebra
Cipparrone, Flavio A. M.; Consonni, Denise – IEEE Transactions on Education, 2022
Contribution: Two general rules for calculating, in the time domain, step discontinuities of voltages and currents in electric circuits, combining physical principles and basic mathematical treatment. The two general rules, resulting from a formal method of analysis, provide a straightforward way to update the states of a circuit, immediately…
Descriptors: Computation, Electronic Equipment, Time, Simulation
Yuguo Ke; Xiaozhen Zhou – SAGE Open, 2025
Focusing efficiently on potential weaknesses in the validity argument of writing assessments--such as writing subjectivity, content coverage, criteria vagueness, and raters' incompetence--has been shown to positively enhance teachers' overall writing assessment competence (AC). In this study, we propose a computational bootstrapping model of…
Descriptors: Writing Evaluation, Persuasive Discourse, Validity, Writing Teachers
Nelson, M. I. – International Journal of Mathematical Education in Science and Technology, 2023
In the past, my mathematics students have frequently complained at any suggestion that they should communicate ideas through the medium of a written report. This article discusses student responses when they were asked to write a short report for the mayor of a (hypothetical) small town in response to the mayor's plan to eliminate a contagious…
Descriptors: Mathematics Education, COVID-19, Pandemics, Disease Control
Helsa, Yullys; Turmudi; Juandi, Dadang – Journal on Mathematics Education, 2023
Hybrid learning implementation is closely related with technology. In designing hybrid lessons, lecturers need to have both the pedagogical and content-related skills that make the best use of technology so that it also improves the students' skills, including their computational thinking skills. The purpose of this research is to examine whether…
Descriptors: Blended Learning, Pedagogical Content Knowledge, Technological Literacy, Models
Andreas Haraldsrud; Tor Ole B. Odden – Journal of Chemical Education, 2023
When learning chemistry, students must learn to extract chemical information from mathematical expressions. However, chemistry students' exposure to mathematics often comes primarily from pure mathematics courses, which can lead to knowledge fragmentation and potentially hinder their ability to use mathematics in chemistry. This study examines how…
Descriptors: Chemistry, Mathematics, Computation, Cognitive Processes
Alejandra J. Magana; Joreen Arigye; Abasiafak Udosen; Joseph A. Lyon; Parth Joshi; Elsje Pienaar – International Journal of STEM Education, 2024
Background: This study posits that scaffolded team-based computational modeling and simulation projects can support model-based learning that can result in evidence of representational competence and regulatory skills. The study involved 116 students from a second-year thermodynamics undergraduate course organized into 24 teams, who worked on…
Descriptors: Scaffolding (Teaching Technique), Thermodynamics, Science Education, Undergraduate Study
Xie, Weiguo; Davis, Richard A. – Chemical Engineering Education, 2022
A chemical engineering analysis course was modified to include analytics with advanced numerical methods. The course uses the MATLAB computational environment to develop student programming, modeling, analytics, and optimization skills. Case studies reinforce MATLAB, numerical methods, and advanced optimization skills. Students reported confidence…
Descriptors: Chemical Engineering, Computation, Programming, Mathematical Models