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Tim Erickson – Australian Mathematics Education Journal, 2024
This is the third in a series of articles describing CODAP and where it might be used to address content in the "Australian Curriculum: Mathematics" v9.0 (ACARA, 2022). We've talked before about model-ling and about statistics; this time, we'll talk about exploring probability using CODAP. As before, we have also prepared online pages…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Mathematics Curriculum
Antonia Petropoulou; Konstantinos Lavidas; Stamatis Papadakis – Educational Process: International Journal, 2024
Background/purpose: Awareness of the mathematical skills and knowledge children possess in their early years is widely accepted. This includes various common positive aspects, not only for educators but also for researchers and policymakers. This study presents a systematic review conducted to meticulously identify empirical studies published in…
Descriptors: Preschool Children, Mathematics Skills, Young Children, Mathematical Concepts
Mathematical Tools for Real-World Applications: A Gentle Introduction for Students and Practitioners
Draganov, Alexandr – MIT Press, 2022
Techniques for applying mathematical concepts in the real world: six rarely taught but crucial tools for analysis, research, and problem-solving. Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found…
Descriptors: Mathematical Concepts, Relevance (Education), College Mathematics, Engineering
McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
Lanham, Susan W. – American Journal of Business Education, 2019
Most literature related to Benford's Law discusses what the law can be used for and how it works but fails to address effective methods and procedures for teaching the law to students. This article examines existing information resources to determine the most effective methods and procedures used to explain this Law to those who have no experience…
Descriptors: Data Analysis, Instructional Effectiveness, Probability, Statistics
Sullivan, Patrick – Mathematics Teacher: Learning and Teaching PK-12, 2022
Probabilistic reasoning underpins much of middle school students' future work in data analysis and inferential statistics. Unfortunately for many middle school students, probabilistic reasoning is not intuitive. One specific area in which students seem to struggle is determining the probability of compound events (Moritz and Watson 2000). Research…
Descriptors: Mathematics Instruction, Thinking Skills, Middle School Students, Data Analysis
Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten – Psychology Learning and Teaching, 2022
Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we…
Descriptors: Bayesian Statistics, Thinking Skills, Undergraduate Students, Psychology
Al-Mutawah, Masooma Ali; Thomas, Ruby; Eid, Abdulla; Mahmoud, Enaz Yousef; Fateel, Moosa Jaafar – International Journal of Education and Practice, 2019
This study measures the mathematical abilities high school graduates' in Bahrain. Mathematical abilities encompass conceptual understanding, procedural knowledge and problem-solving skills in the five content domains which are Number and Operations, Algebra, Geometry, Measurement, and Data Analysis and Probability. While procedural understanding…
Descriptors: Foreign Countries, High School Graduates, Mathematics Skills, Problem Solving
Yilmaz Genc, Melek Merve; Akinci Cosgun, Aysegul; Pala, Sengul – Eurasian Journal of Educational Research, 2017
Purpose: Early childhood is of critical importance in terms of cognitive, affective and physical development. Undoubtedly, a substantially stimulating environment and opportunities offered to children, as well as appropriate educational materials, have an impact on their development. The object of this study is to investigate the mathematical…
Descriptors: Foreign Countries, Early Childhood Education, Childrens Literature, Books
Dinov, Ivo D.; Kamino, Scott; Bhakhrani, Bilal; Christou, Nicolas – Teaching Statistics: An International Journal for Teachers, 2013
Data analysis requires subtle probability reasoning to answer questions like "What is the chance of event A occurring, given that event B was observed?" This generic question arises in discussions of many intriguing scientific questions such as "What is the probability that an adolescent weighs between 120 and 140 pounds given that…
Descriptors: Mathematics Instruction, Probability, Teaching Methods, Educational Technology
Gabhe, A. S.; Bhanu, K. S.; Deshpande, M. N. – Teaching Statistics: An International Journal for Teachers, 2012
We establish an interesting connection between the number of runs and the length of the first run when tossing a fair coin.
Descriptors: Statistics, Mathematical Concepts, Probability, Data Analysis
Benakli, Nadia; Kostadinov, Boyan; Satyanarayana, Ashwin; Singh, Satyanand – International Journal of Mathematical Education in Science and Technology, 2017
The goal of this paper is to promote computational thinking among mathematics, engineering, science and technology students, through hands-on computer experiments. These activities have the potential to empower students to learn, create and invent with technology, and they engage computational thinking through simulations, visualizations and data…
Descriptors: Calculus, Probability, Data Analysis, Computation
Naresh, Nirmala; Royce, Bridget – Mathematics Teaching in the Middle School, 2013
The game of Plinko offers students an exciting real-world example of the applications of probability and data analysis. The Common Core State Standards for Mathematics (CCSSI 2010) and the Guidelines for Assessment in Statistics Education (GAISE) (Franklin et al. 2007) suggest that students in grades 6-8 be given ample opportunities to engage in…
Descriptors: Mathematics Instruction, Probability, Data Analysis, Educational Games
Singh, Manish; Feldman, Jacob – Psychological Review, 2012
Lim and Leek (2012) presented a formalization of information along object contours, which they argued was an alternative to the approach taken in our article (Feldman & Singh, 2005). Here, we summarize the 2 approaches, showing that--notwithstanding Lim and Leek's (2012) critical rhetoric--their approach is substantially identical to ours,…
Descriptors: Geometry, Mathematics Education, Theories, Identification
English, Lyn; Watson, Jane – Mathematics Education Research Group of Australasia, 2014
Students explored variation and expectation in a probability activity at the end of the first year of a 3-year longitudinal study across grades 4-6. The activity involved experiments in tossing coins both manually and with simulation using the graphing software, "TinkerPlots." Initial responses indicated that the students were aware of…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Grade 4