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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
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
Mezhennaya, Natalia M.; Pugachev, Oleg V. – European Journal of Contemporary Education, 2019
Typical difficulties in learning probabilistic subjects are concerned with big data, complicated formulas and inconvenient figures in statistical analyses. The present research considers the usage of innovative teaching methods (e.g. electronic summary of lectures, presentations of lecture courses, task solution templates, electronic training…
Descriptors: Mathematics Instruction, Probability, Statistics, Teaching Methods
Bradley, Sean – Journal of Statistics Education, 2015
Can individuals guess the gender of a writer based on a sample of his or her handwriting? We administer an electronic survey twice to the same individuals to find out. The resulting data set is interesting to students, rich enough to be amenable to a wide array of activities, and open to a variety of exploratory tacks for statistics students and…
Descriptors: Handwriting, Gender Differences, Student Research, Research Skills
Phelps, James L. – Educational Considerations, 2012
In most school achievement research, the relationships between achievement and explanatory variables follow the Newton and Einstein concept/principle and the viewpoint of the macro-observer: Deterministic measures based on the mean value of a sufficiently large number of schools. What if the relationships between achievement and explanatory…
Descriptors: Academic Achievement, Computation, Probability, Statistics
Rijmen, Frank – Educational Testing Service, 2010
As is the case for any statistical model, a multidimensional latent growth model comes with certain requirements with respect to the data collection design. In order to measure growth, repeated measurements of the same set of individuals are required. Furthermore, the data collection design should be specified such that no individual is given the…
Descriptors: Tests, Statistical Analysis, Models, Measurement
Muschla, Judith A.; Muschla, Gary Robert; Muschla, Erin – Jossey-Bass, An Imprint of Wiley, 2012
The new Common Core State Standards for Mathematics have been formulated to provide students with instruction that will help them acquire a thorough knowledge of math at their grade level, which will in turn enable them to move on to higher mathematics with competence and confidence. "Hands-on Activities for Teaching the Common Core Math…
Descriptors: State Standards, Mathematics Instruction, Academic Standards, Experiential Learning
Rijmen, Frank; Vansteelandt, Kristof; De Boeck, Paul – Psychometrika, 2008
The increasing use of diary methods calls for the development of appropriate statistical methods. For the resulting panel data, latent Markov models can be used to model both individual differences and temporal dynamics. The computational burden associated with these models can be overcome by exploiting the conditional independence relations…
Descriptors: Markov Processes, Patients, Regression (Statistics), Probability
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 3, Mathematics Education
Arizona Department of Education, 2009
Every student should understand and use all concepts and skills from the previous grade levels. The standard is designed so that new learning builds on preceding skills. Communications, Problem-solving, Reasoning & Proof, Connections, and Representation are the process standards that are embedded throughout the teaching and learning of all…
Descriptors: Numeracy, Number Concepts, Grade 5, Mathematics Education
Peer reviewedEngel, Arthur – Educational Studies in Mathematics, 1975
The author describes a new graphing algorithm for computing probabilities, and presents problems for these algorithms for use in the classroom. (SD)
Descriptors: Algorithms, Computation, Diagrams, Elementary Secondary Education
Peer reviewedSilverman, Helene J. – New York State Mathematics Teachers' Journal, 1996
Presents various simple activities to use with two-color counters as a vehicle for teaching concepts such as observation, classification, counting, recording, graphing, developing relational language, number sense, and beginning ideas of probability. (AIM)
Descriptors: Classification, Computation, Elementary Education, Graphs
Cwikla, Julie; Patterson, Marcelle Dessommes – Mathematics Teaching in the Middle School, 2006
This article describes an innovative lesson that uses the biography "Barbara McClintock: Alone in her Field" (Heiligman, 1994) to integrate genetics, literature, and mathematics as a context for students to investigate patterns on Indian corn. This two-day lesson requires students to estimate, collect data, identify and describe patterns,…
Descriptors: Probability, Graphs, Genetics, Mathematics Instruction
Peer reviewedAllinger, Glenn D., Ed.; And Others – Arithmetic Teacher, 1988
Reviews following computer materials: Coordinate Math; How the West Was One + Three x Four; Math Facts Lottery, Basic Skills Game; Math Tutor, Division; Now You See It, Now You Don't; Pinball Math, Basic Skills Game; Place Value-Add/Subtract; Quarter Mile; Regrouping; Sailing through Story Problems; Scope Math, Computer Mathematics Course for…
Descriptors: Basic Skills, Computation, Computer Assisted Instruction, Computer Oriented Programs
New York State Education Dept., Albany. Bureau of Curriculum Development. – 1990
This guide describes 20 learning activities that can be used with elementary school students on the topic of probability and statistics. These activities have been developed using the mathematics laboratory approach. This publication is designed to serve as a stimulant to encourage teachers to open their minds and employ their imagination in…
Descriptors: Arithmetic, Cognitive Development, Computation, Concept Formation
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