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Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Hilda, Atiqah Meutia; Siswanto, Rizki Dwi – Mathematics Teaching Research Journal, 2021
The objective of this development research is to create an android application of probability theory of the same element permutation material based on RME as a learning medium, as well as to assess the quality of the apps created for utilize in learning mathematics. This research used research and development (R&D) method with the 4D…
Descriptors: Mathematics Education, Teaching Methods, Probability, Computer Software
Tax, Daniel – Australian Primary Mathematics Classroom, 2019
The author looks at how apps, when carefully chosen and integrated into learning situations, can engage students in the learning experience. This article looks at how a teacher uses an app to assist his Year 2 class to learn about, and apply chance language, in a meaningful way.
Descriptors: Computer Software, Teaching Methods, Mathematics Instruction, Grade 2
Kostadinov, Boyan – PRIMUS, 2013
This article attempts to introduce the reader to computational thinking and solving problems involving randomness. The main technique being employed is the Monte Carlo method, using the freely available software "R for Statistical Computing." The author illustrates the computer simulation approach by focusing on several problems of…
Descriptors: Computation, Monte Carlo Methods, College Mathematics, Problem Solving
Waight, Noemi; Chiu, Ming Ming; Whitford, Melinda – Journal of Science Education and Technology, 2014
This study contributed to our understanding of those factors that serve as predictors of science teachers' selection and use of technologies and more specifically, how selection and usage was realized among teachers of different science disciplines. Notable descriptive statistics were examined, and we tested an explanatory model of how…
Descriptors: Science Teachers, Secondary School Science, High Schools, Predictor Variables
Peer reviewedBeezer, Robert A.; And Others – College Mathematics Journal, 1988
Reviews for three software packages are given. Those packages are: Linear Algebra Computer Companion; Probability and Statistics Demonstrations and Tutorials; and Math Utilities: CURVES, SURFS, AND DIFFS. (PK)
Descriptors: Algebra, College Mathematics, Computer Assisted Instruction, Computer Graphics
Huang, Yueh-Min; Huang, Tien-Chi; Wang, Kun-Te; Hwang, Wu-Yuin – Educational Technology & Society, 2009
The ability to apply existing knowledge in new situations and settings is clearly a vital skill that all students need to develop. Nowhere is this truer than in the rapidly developing world of Web-based learning, which is characterized by non-sequential courses and the absence of an effective cross-subject guidance system. As a result, questions…
Descriptors: Markov Processes, Transfer of Training, Probability, Internet
Zarzycki, Piotr – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2004
The benefits of visualizing mathematics by using technology such as TI-92+ and mathematically oriented software (DERIVE 5 and CABRI II) are indisputable. On the basis of some examples we would like to show that visualizing techniques can help students to analyse certain mathematical problems better and give them strong support in finding formal…
Descriptors: Probability, Educational Technology, Algebra, Geometry
What Works Clearinghouse, 2007
The What Works Clearinghouse (WWC) reviewed interventions to promote middle school students' math knowledge and skills. Because there is some variation in how school districts organize middle school, we considered curricula aimed at students in grades 6 through 9, covering one or more of the following content areas: numbers and operations,…
Descriptors: Probability, Intervention, Data Analysis, Computer Software
McLean, James E.; Hebbler, Stephen W. – 1993
A method of generating common statistical tables using canned statistical computer software is presented. This method allows instructors to provide statistical tables for their students, tailored to their needs. The four most common tables used in elementary college statistics courses are z (standard normal), t, F, and chi square. Specific…
Descriptors: Chi Square, College Mathematics, Computer Assisted Instruction, Computer Software
Chesebrough, David – Learning, 1991
Presents suggestions for helping students learn about probability using coins and a simple spreadsheet. The article details how to brainstorm, gather the necessary data, prepare the spreadsheet, learn from the data, and extend the learning. (SM)
Descriptors: Computer Assisted Instruction, Computer Software, Educational Games, Elementary Education
Peer reviewedCohen, Steve; And Others – Journal of Educational and Behavioral Statistics, 1996
A detailed multisite evaluation of instructional software, the ConStatS package, designed to help students conceptualize introductory probability and statistics, yielded patterns of error on several assessment items. Results from 739 college students demonstrated 10 misconceptions that may be among the most difficult concepts to teach. (SLD)
Descriptors: College Students, Computer Assisted Instruction, Computer Software Evaluation, Educational Assessment
Garofalo, Joe; Juersivich, Nicole – NCSSSMST Journal, 2007
There is much research that documents what many teachers know, that students struggle with many concepts in probability and statistics. This article presents two sample activities the authors use to help preservice teachers develop ideas about how they can use technology to promote their students' ability to understand mathematics and connect…
Descriptors: Preservice Teachers, Statistical Inference, Sampling, Probability
Peer reviewedHammonds, S. J. – Journal of Biological Education, 1990
A technique for the numerical identification of bacteria using normalized likelihoods calculated from a probabilistic database is described, and the principles of the technique are explained. The listing of the computer program is included. Specimen results from the program, and examples of how they should be interpreted, are given. (KR)
Descriptors: Bacteria, Biology, Classification, College Science
Kaplan, Danielle E.; Wu, Erin Chia-ling – Journal of Computing in Higher Education, 2006
Our research suggests static and animated graphics can lead to more animated thinking and more correct problem solving in computer-based probability learning. Pilot software modules were developed for graduate online statistics courses and representation research. A study with novice graduate student statisticians compared problem solving in five…
Descriptors: Animation, Graduate Students, Cues, Computer Assisted Instruction
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