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Chen, Lin-An; Kao, Chu-Lan Michael – International Journal of Mathematical Education in Science and Technology, 2022
The uniformly most accurate (UMA) is an important optimal approach in interval estimation, but the current literature often introduces it in a confusing way, rendering the learning, teaching and researching of UMA problematic. Two major aspects cause this confusion. First, UMA is often interpreted to maximize the accuracy of coverage, but in fact,…
Descriptors: Accuracy, Mathematics Instruction, Learning Processes, Probability
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Carlson, Mary Alice; Arnold, Elizabeth G.; Bolte, Barbara – Mathematics Teacher: Learning and Teaching PK-12, 2020
Emphasis in teaching and learning statistics has shifted from memorizing formulas and procedures to investigating situations, creating models, and using data to understand problems. The Common Core State Standards for Mathematics (CCSSM) (NGA Center and CCSSO 2010) Grade 8 Statistics and Probability content standards drive this point home.…
Descriptors: Common Core State Standards, Mathematics Instruction, Teaching Methods, Statistics
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Cook, Joshua; Lynch, Collin F.; Hicks, Andrew G.; Mostafavi, Behrooz – International Educational Data Mining Society, 2017
BKT and other classical student models are designed for binary environments where actions are either correct or incorrect. These models face limitations in open-ended and data-driven environments where actions may be correct but non-ideal or where there may even be degrees of error. In this paper we present BKT-SR and RKT-SR: extensions of the…
Descriptors: Models, Bayesian Statistics, Data Use, Intelligent Tutoring Systems
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Letkowski, Jerzy – Journal of Instructional Pedagogies, 2018
Single-period inventory models with uncertain demand are very well known in the business analytics community. Typically, such models are rule-based functions, or sets of functions, of one decision variable (order quantity) and one random variable (demand). In academics, the models are taught selectively and usually not completely. Students are…
Descriptors: Models, Data Analysis, Decision Making, Teaching Methods
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Weiland, Travis; Mojica, Gemma; Engledowl, Chris; Jones, Ryan Seth – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
The goal of the proposed working group is to create a space for those interested in researching issues around the teaching and learning of statistics to meet, discuss, synthesize past research, and begin to strategize ways of leveraging multiple perspectives and expertise to identify and address current challenges in statistics education. The…
Descriptors: Statistics, Mathematics Instruction, Teaching Methods, Holistic Approach
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Barnes, Mary – Australian Mathematics Teacher, 1998
Describes ways of thinking about probability and some common student misconceptions. Suggests ways of addressing students' misconceptions and illustrates these ideas with an example. (ASK)
Descriptors: Elementary Secondary Education, Learning Processes, Mathematical Concepts, Mathematics Instruction
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Nugent, Wendy – Mathematics in School, 1990
Presents young children's concepts related to probability grouped by definite, possible, and definitely not. Discusses the teaching methods of the probability concepts. (YP)
Descriptors: Abstract Reasoning, Concept Formation, Early Childhood Education, Fundamental Concepts