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Schueller, Albert W. – PRIMUS, 2020
Recently, a new source of data with great potential for use in the mathematics classroom has become available. The smartphones in our pockets are packed with sensors. Most phones have at a minimum global positioning, accelerometer, magnetometer, and gyroscope sensors. We give an example of the collection and analysis of global positioning sensor…
Descriptors: Mathematics Instruction, Telecommunications, Handheld Devices, Geographic Information Systems
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Zhang, Xuemao; Maas, Zoe – International Electronic Journal of Mathematics Education, 2019
The use of computer simulations in the teaching of introductory statistics can help undergraduate students understand difficult or abstract statistics concepts. The free software environment R is a good candidate for computer simulations since it allows users to add additional functionality by defining new functions. In this paper, we illustrate…
Descriptors: Computer Simulation, Teaching Methods, Mathematics Instruction, Probability
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Tintle, Nathan; Clark, Jake; Fischer, Karen; Chance, Beth; Cobb, George; Roy, Soma; Swanson, Todd; VanderStoep, Jill – Journal of Statistics Education, 2018
The recent simulation-based inference (SBI) movement in algebra-based introductory statistics courses (Stat 101) has provided preliminary evidence of improved student conceptual understanding and retention. However, little is known about whether these positive effects are preferentially distributed across types of students entering the course. We…
Descriptors: Statistics, College Mathematics, College Preparation, Mathematical Concepts
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Novak, Elena; Johnson, Tristan E.; Tenenbaum, Gershon; Shute, Valerie J. – Interactive Learning Environments, 2016
The study explored instructional benefits of a storyline gaming characteristic (GC) on learning effectiveness, efficiency, and engagement with the use of an online instructional simulation for graduate students in an introductory statistics course. A storyline is a game-design element that connects scenes with the educational content. In order to…
Descriptors: Teaching Methods, Statistics, Educational Games, Instructional Effectiveness
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Lesser, Lawrence M.; Wagler, Amy E.; Salazar, Berenice – Statistics Education Research Journal, 2016
English language learners (ELLs) are a rapidly growing part of the student population in many countries. Studies on resources for language learners--especially Spanish-speaking ELLs--have focused on areas such as reading, writing, and mathematics, but not introductory probability and statistics. Semi-structured qualitative interviews investigated…
Descriptors: Postsecondary Education, Spanish Speaking, English (Second Language), English Language Learners
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Levine, Stephanie Holliman; Mansheim, Jan – Mathematics and Computer Education, 1987
One way in which a computer simulation can convince students of the validity of formulas for the density and distributive functions of the sum of two variables is described. Four computer program listings are included. (MNS)
Descriptors: College Mathematics, Computer Simulation, Functions (Mathematics), Graphs
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
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Sturm-Beiss, Rachel – Journal of Statistics Education, 2005
Analysis of variance (ANOVA), a technique included in many introductory statistics courses, analyzes the relationship between a quantitative dependent variable and one or more independent qualitative variables. The nature of the relationship is expressed in a model with unknown parameters. Many textbooks emphasize the mechanics of the technique…
Descriptors: Statistical Analysis, Educational Technology, Computer Simulation, Statistics
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Kennedy, Kristin; Schumacher, Phyllis – Journal of Computers in Mathematics and Science Teaching, 1993
Describes the use of simulation to introduce the bootstrapping technique of creating confidence intervals for the mean, median, and variance. These bootstrap confidence intervals are compared to the traditional confidence intervals for the purpose of analyzing accuracy of the technique. A Minitab program to produce confidence intervals is…
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Computer Simulation
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Eyob, Ephrem – Journal of Computers in Mathematics and Science Teaching, 1990
The results of a simulation model of a queuing system are reported. Use in an introductory quantitative analysis course to enhance students' computer and quantitative modeling knowledge is described. (CW)
Descriptors: College Mathematics, Computer Simulation, Computer Uses in Education, Educational Technology
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Lough, Tom; Tipps, Steve – Journal of Computers in Mathematics and Science Teaching, 1989
Offers several LOGO programs to study the behavior of simple nonlinear systems. Suggests that LOGO is an excellent tool for studying chaotic systems. Offers suggestions for different forms of LOGO. Builds upon programs presented in a previous article. (MVL)
Descriptors: Chaos Theory, College Mathematics, Computer Graphics, Computer Simulation
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Jones, Kevin S. – Mathematics and Computer Education, 1992
"Gedankensimulation" is a term adapted from Einstein's "thought experiments" to indicate mentally created simulations that can help conceptualize ideas. Presents seven examples of simulations that can be utilized to solve problems or illustrate concepts in probability and statistics. Problem contexts include games of chance,…
Descriptors: College Mathematics, Computer Assisted Instruction, Computer Science Education, Computer Simulation
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Doane, David P. – Journal of Statistics Education, 2004
Many students doubt that statistical distributions are of practical value. Simulation makes it possible for students to tackle challenging, understandable projects that illustrate how distributions can be used to answer "what-if" questions of the type often posed by analysts. Course materials that have been developed over two years of classroom…
Descriptors: Statistical Distributions, Relevance (Education), Mathematical Concepts, Mathematics Instruction