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Showing 1 to 15 of 36 results Save | Export
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Robinson, Alexander; Keller, L. Robin; del Campo, Cristina – Decision Sciences Journal of Innovative Education, 2022
COVID-19 pandemic policies requiring disease testing provide a rich context to build insights on true positives versus false positives. Our main contribution to the pedagogy of data analytics and statistics is to propose a method for teaching updating of probabilities using Bayes' rule reasoning to build understanding that true positives and false…
Descriptors: Data, Error Patterns, Visual Aids, Graphs
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Pang, Bo; Nijkamp, Erik; Wu, Ying Nian – Journal of Educational and Behavioral Statistics, 2020
This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…
Descriptors: Artificial Intelligence, Regression (Statistics), Models, Classification
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Molontay, Roland; Horvath, Noemi; Bergmann, Julia; Szekrenyes, Dora; Szabo, Mihaly – IEEE Transactions on Learning Technologies, 2020
Curriculum prerequisite networks have a central role in shaping the course of university programs. The analysis of prerequisite networks has attracted a lot of research interest recently since designing an appropriate network is of great importance both academically and economically. It determines the learning goals of the program and also has a…
Descriptors: College Curriculum, Prerequisites, Networks, Time to Degree
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Hauben, Manfred – Australian Mathematics Education Journal, 2019
Manfred Hauben proposes an approach to teaching non-transitive relationships between 'paradoxical' dice using simple statistical graphics. This method usefully supplements traditional approaches of conditional probability calculations and trees, and students are thereby better able to see what is going on and the mechanism of these relationships.
Descriptors: Mathematics Instruction, Teaching Methods, Probability, Computation
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Lu, Yonggang; Zheng, Qiujie; Quinn, Daniel – Journal of Statistics and Data Science Education, 2023
We present an instructional approach to teaching causal inference using Bayesian networks and "do"-Calculus, which requires less prerequisite knowledge of statistics than existing approaches and can be consistently implemented in beginner to advanced levels courses. Moreover, this approach aims to address the central question in causal…
Descriptors: Bayesian Statistics, Learning Motivation, Calculus, Advanced Courses
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Jungck, John R. – PRIMUS, 2022
Finite Mathematics has become an enormously rich and productive area of contemporary mathematical biology. Fortunately, educators have developed educational modules based upon many of the models that have used Finite Mathematics in mathematical biology research. A sufficient variety of computer modules that employ graph theory (phylogenetic trees,…
Descriptors: Mathematics Instruction, Teaching Methods, Mathematical Models, Learning Modules
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Young, Lanee – Mathematics Teaching in the Middle School, 2016
Research shows that playing games in the classroom improves students' attitudes toward mathematics, increases motivation to practice skills inside and outside the classroom, and increases learning by encouraging students of all levels to participate. Rutherford asserts that playing games encourages strategic mathematical thinking and supports…
Descriptors: Mathematics Instruction, Teaching Methods, Educational Games, Toys
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Martínez-Zarzuelo, Angélica; Roanes-Lozano, Eugenio; Fernández-Díaz, María José – International Journal for Technology in Mathematics Education, 2017
The educational laws establish an organization and a grouping of the contents of the educational system they rule. As far as we know, the set of experts who design it neither follow precise objective criteria nor use computer tools. That is why they are not usually rotund. We consider that defining precise objective criteria is the key to develop…
Descriptors: Network Analysis, Secondary School Students, Mathematics Instruction, Teaching Methods
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Xu-Friedman, Matthew A. – Advances in Physiology Education, 2013
The quantal hypothesis is central to the modern understanding of how a neurotransmitter is released from synapses. This hypothesis expresses that a neurotransmitter is packaged together in quanta that are released probabilistically. The experiments that led to the quantal hypothesis are often related in introductory neuroscience textbooks, but…
Descriptors: Physiology, Probability, Textbooks, Neurosciences
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Osborne, Jason W. – Practical Assessment, Research & Evaluation, 2012
Logistic regression is slowly gaining acceptance in the social sciences, and fills an important niche in the researcher's toolkit: being able to predict important outcomes that are not continuous in nature. While OLS regression is a valuable tool, it cannot routinely be used to predict outcomes that are binary or categorical in nature. These…
Descriptors: Regression (Statistics), Prediction, Mathematics, Probability
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Kahle, David – Journal of Statistics Education, 2014
In this article, I introduce a novel applet ("module") for exploring probability distributions, their samples, and various related statistical concepts. The module is primarily designed to be used by the instructor in the introductory course, but it can be used far beyond it as well. It is a free, cross-platform, stand-alone interactive…
Descriptors: Monte Carlo Methods, Learning Modules, Probability, Statistical Distributions
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Willis, Melinda B. N.; Hay, Sue; Martin, Fred G.; Scribner-MacLean, Michelle; Rudnicki, Ivan – Mathematics Teacher, 2015
Mathematics teachers continually look for ways to make the learning of mathematics more active and engaging. Hands-on activities, in particular, have been demonstrated to improve student engagement and understanding in mathematics classes. Likewise, many scholars have emphasized the growing importance of giving students experience with the…
Descriptors: Mathematics Instruction, Visualization, Computer Software, Computer Uses in Education
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Padula, Janice – Australian Senior Mathematics Journal, 2012
When hoping to initiate or sustain students' interest in mathematics teachers should always consider relevance, relevance to students' lives and in the middle and later years of instruction in high school and university, accessibility. A topic such as the mathematics behind networks science, more specifically scale-free graphs, is up-to-date,…
Descriptors: Teaching Methods, Graphs, Mathematics Instruction, Mathematics Teachers
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Marrero, Osvaldo; Pasles, Paul C. – Mathematics and Computer Education, 2011
Like many mathematics teachers, the authors often find that students who struggle with a difficult concept may be assisted by the use of a well-chosen graph or other visual representation. While one should not rely solely on such tools, they can suggest possible theorems which then might be proved with the proper rigor. Even when a picture…
Descriptors: Probability, Calculus, Mathematics Instruction, College Mathematics
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Leinbach, Carl – International Journal for Technology in Mathematics Education, 2011
This article will expand upon the techniques of Criminologist, D. Kim Rossmo, and Social Psychologist, David Canter for determining a serial criminal's base of operations. The basic framework for our investigation is that of Rossmo, but uses a different criterion for analysing the relationship of points within the hunting area defined by the crime…
Descriptors: Crime, School Security, Serial Ordering, Criminals
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