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Rocabado, Guizella A.; Komperda, Regis; Lewis, Jennifer E.; Barbera, Jack – Chemistry Education Research and Practice, 2020
As the field of chemistry education moves toward greater inclusion and increased participation by underrepresented minorities, standards for investigating the differential impacts and outcomes of learning environments have to be considered. While quantitative methods may not be capable of generating the in-depth nuances of qualitative methods,…
Descriptors: Chemistry, Science Education, Inclusion, Equal Education
Fish, Laurel J.; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2017
The Monte Carlo method and related multiple imputation methods are traditionally used in math, physics and science to estimate and analyze data and are now becoming standard tools in analyzing business and financial problems. However, few sources explain the application of the Monte Carlo method for individuals and business professionals who are…
Descriptors: Statistical Analysis, Monte Carlo Methods, Spreadsheets, Simulation
Miranda, Breanna; Lawton, Nicole M.; Tachibana, Sean R.; Swartz, Natasja A.; Hall, W. Paige – Journal of Chemical Education, 2016
Quantification of the many constituents that make up our food, whether they are desirable (vitamins, antioxidants, nutrients) or undesirable (pesticides, toxins), is one of the most practical applications of chemistry. In this study, kombucha, a popular fermented tea beverage, was analyzed using acid-base titration and high-performance liquid…
Descriptors: Chemistry, Science Education, Science Instruction, Laboratory Experiments
Prinster, Andrew J.; Hoskins, Josephina L.; Strode, Paul K. – American Biology Teacher, 2019
Students learning the skills of science benefit from opportunities to move between the scientific problems and questions they confront and the mathematical tools available to answer the questions and solve the problems. Indeed, students learn science best when they are actively engaged in pursuing answers to authentic and relevant questions. We…
Descriptors: Science Education, Science Process Skills, Problem Solving, Statistical Analysis
Fleischmann, Katja; Ariel, Ellen – Contemporary Educational Technology, 2016
Understanding and trouble-shooting microscopic processes involved in laboratory tests are often challenging for students in science education because of the inability to visualize the different steps and the various errors that may influence test outcome. The effectiveness of gamification or the use of game design elements and game-mechanics were…
Descriptors: Science Instruction, Science Laboratories, Science Education, Educational Games
Curran-Everett, Douglas – Advances in Physiology Education, 2013
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This ninth installment of "Explorations in Statistics" explores the analysis of ratios and normalized--or standardized--data. As researchers, we compute a ratio--a numerator divided by a denominator--to compute a…
Descriptors: Physiology, Science Education, Mathematical Concepts, Predictor Variables
Silverthorn, Dee U.; Michael, Joel – Advances in Physiology Education, 2013
Temperature and other environmental stressors are known to affect blood pressure and heart rate. In this activity, students perform the cold pressor test, demonstrating increased blood pressure during a 1- to 2-min immersion of one hand in ice water. The cold pressor test is used clinically to evaluate autonomic and left ventricular function. This…
Descriptors: Statistical Analysis, Metabolism, Science Activities, Science Experiments
Harbottle, Jennifer; Strangward, Patrick; Alnuamaani, Catherine; Lawes, Surita; Patel, Sanjai; Prokop, Andreas – School Science Review, 2016
The "droso4schools" project aims to introduce the fruit fly "Drosophila" as a powerful modern teaching tool to convey curriculum-relevant specifications in biology lessons. Flies are easy and cheap to breed and have been at the forefront of biology research for a century, providing unique conceptual understanding of biology and…
Descriptors: Science Instruction, Science Education, Genetics, Entomology
Thomas, Alyssa C.; Boucher, Michelle A.; Pulliam, Curtis R. – Journal of Chemical Education, 2015
Our Introduction to Research Methods course is a first-year majors course built around the idea of helping students learn to work like chemists, write like chemists, and think like chemists. We have developed this course as a hybrid hands-on/ lecture experience built around instrumentation use and report preparation. We take the product from one…
Descriptors: Qualitative Research, Statistical Analysis, Research Methodology, Methods Courses
McQuade, Vivienne – Australian Mathematics Teacher, 2013
Statistics and statistical literacy can be found in the Learning Areas of Mathematics, Geography, Science, History and the upcoming Business and Economics, as well as in the General Capability of Numeracy and all three Crosscurriculum priorities. The Australian Curriculum affords many exciting and varied entry points for the teaching of…
Descriptors: Foreign Countries, Statistical Analysis, Mathematics Curriculum, National Curriculum
Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2012
In this article, the authors consider the possibility that groups could be different, because of the different conditions of a factor. This is as far as the analysis can extend: the consideration is restricted to groups characterized by the different category of the factor being considered. In many biological experiments, the factor considered may…
Descriptors: Regression (Statistics), Science Experiments, Biology, Factor Analysis
Giese, Alan R. – American Biology Teacher, 2012
Evaluating the strength of evidence in noisy data is a critical step in scientific thinking that typically relies on statistics. Students without statistical training will benefit from heuristic models that highlight the logic of statistical analysis. The likelihood associated with various coin-tossing outcomes gives students such a model. There…
Descriptors: Evidence, Statistical Analysis, Statistics, Models
Janssens, Peter; Waldhuber, Megan – Bioscene: Journal of College Biology Teaching, 2012
This laboratory exercise investigates the phenomenon of cytoplasmic streaming in the fresh water alga "Nitella". Students use the fungal toxin cytochalasin D, an inhibitor of actin polymerization, to investigate the mechanism of streaming. Students use simple statistical methods to analyze their data. Typical student data are provided. (Contains 3…
Descriptors: Biology, Science Education, Laboratories, Data Analysis
Osler, James Edward – Journal on Educational Psychology, 2013
This monograph provides a psychological rational for the novel field of "Educational Science" and how it conducts in-depth research investigations first presented in an article by the author in the i-manager's "Journal on Mathematics" through the trichotomous analysis of the affective domain. Educational Science uses the…
Descriptors: Affective Objectives, Psychometrics, Mixed Methods Research, Qualitative Research
Schultheis, Elizabeth H.; Kjelvik, Melissa K. – American Biology Teacher, 2015
Current educational reform calls for increased integration between science and mathematics to overcome the shortcomings in students' quantitative skills. Data Nuggets (free online resource, http://datanuggets.org) are worksheets that bring data into the classroom, repeatedly guiding students through the scientific method and making claims…
Descriptors: Inquiry, Science Process Skills, Educational Change, Statistical Analysis

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