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Showing 1 to 15 of 37 results Save | Export
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Tim Erickson – Australian Mathematics Education Journal, 2023
At the school level statistics begins with exploratory data analysis, or EDA. Statistical learning goes on to include statistical inference, which will be discussed in the second part of this article. In this article, the author will talk about EDA and CODAP. EDA can be thought of as looking for patterns in data using graphs and simple statistics…
Descriptors: Statistics Education, Data Analysis, Mathematical Concepts, Foreign Countries
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Tim Erickson – Australian Mathematics Education Journal, 2023
This is the first of four columns by Tim Erikson which introduces us to the Common Online Data Analysis Platform (CODAP). CODAP is a free, web-based software tool that your students can use for many types of tasks. This first column shows how CODAP can be used for mathematical modelling and where it might fit with the "Australian Curriculum:…
Descriptors: Mathematics Instruction, Teaching Methods, Computer Software, Data Analysis
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Rafiepour, Abolfazl; Abdolahpour, Kazem; Farsani, Danyal – Mathematics Teaching Research Journal, 2022
The main purpose of this study is to develop a conceptual understanding of the irrational number of the square root of 2 ([square root]2 ). Participants in the study were 20 ninth-grade male students. Activity Theory was used as a framework to show the development of the conceptual understanding. Since this study was conducted during the COVID-19…
Descriptors: Concept Formation, Mathematical Concepts, Mathematics Instruction, COVID-19
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Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
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Kazak, Sibel; Fujita, Taro; Turmo, Manoli Pifarre – Mathematical Thinking and Learning: An International Journal, 2023
In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…
Descriptors: Statistical Inference, Mathematics Skills, Mathematics Instruction, Secondary School Students
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Casey, Stephanie A.; Harrison, Taylor; Hudson, Rick – Investigations in Mathematics Learning, 2021
This study focused on statistical investigation tasks designed by preservice teachers. Participants designed a statistical investigation task as a culminating summative assessment after completing modules on teaching and learning statistics. Our study examined the designed tasks to identify their strengths as well as areas of needed improvement.…
Descriptors: Summative Evaluation, Teaching Methods, Learning Processes, Preservice Teachers
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Guncaga, Ján; Zawadowski, Wacek; Prodromou, Theodosia – European Journal of Contemporary Education, 2019
Visual imagery has been an effective tool to communicate ideas connected with basic mathematics concepts since the dawn of mankind. The development of educational visualisation technology allows these ideas to be demonstrated with the help of some educational software. In this paper, we specifically consider the use of GeoGebra, a free,…
Descriptors: Visualization, Mathematical Concepts, Computer Assisted Instruction, Computer Software
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Aridor, Keren; Ben-Zvi, Dani – ZDM: The International Journal on Mathematics Education, 2018
While aggregate reasoning is a core aspect of statistical reasoning, its development is a key challenge in statistics education. In this study we examine how students' aggregate reasoning with samples and sampling (ARWSS) can emerge in the context of statistical modeling activities of real phenomena. We present a case study on the emergent ARWSS…
Descriptors: Grade 6, Student Attitudes, Thinking Skills, Statistics
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Koparan, Timur – International Journal of Mathematical Education in Science and Technology, 2019
The Fatih Project in Turkey has improved software in mathematics teaching such as data analysis software. As a result, the need to inquire into the efficiency of computer-supported learning environments has emerged. This study aims to examine the effect of dynamic data analysis software-supported learning environments on secondary school students'…
Descriptors: Foreign Countries, Computer Software, Educational Technology, Technology Uses in Education
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Confrey, Jere; Shah, Meetal; Persson, Jennifer; Ciliano, Dagmara – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
This paper reports on a design-based implementation study of the use of a diagnostic classroom assessment tool framed on learning trajectories (LTs) for middle grades mathematics, where teachers and students are provided immediate data on students' progress along LTs. The study answers the question: "How can one characterize the challenges…
Descriptors: Middle School Students, Mathematics Instruction, Barriers, Diagnostic Tests
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Ainley, Janet; Pratt, Dave – Statistics Education Research Journal, 2017
Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…
Descriptors: Computation, Models, Children, Interviews
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Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – ZDM: The International Journal on Mathematics Education, 2018
Elements of statistical modeling can be implemented already in primary school. A prerequisite for this approach is that teachers are well-educated in this domain. Content knowledge, pedagogical content knowledge and (pedagogical) content related technological knowledge are core components of teacher education. We designed a course for elementary…
Descriptors: Preservice Teachers, Elementary School Teachers, Pedagogical Content Knowledge, Civics
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Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne – Statistics Education Research Journal, 2017
Connecting data and chance is fundamental in statistics curricula. The use of software like TinkerPlots can bridge both worlds because the TinkerPlots Sampler supports learners in expressive modeling. We conducted a study with elementary preservice teachers with a basic university education in statistics. They were asked to set up and evaluate…
Descriptors: Elementary School Teachers, Preservice Teachers, Teaching Methods, Computer Software
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Santiago Berrezueta Ed. – Lecture Notes in Educational Technology, 2023
The proceedings of the 18th edition of Latin American Conference on Learning Technologies (LACLO) demonstrates the developments in the research of learning science, learning resources, challenges and solutions. This Proceedings book showcases a collection of quality articles that explores and discusses trending topics in education in the upcoming…
Descriptors: Educational Technology, Active Learning, Design, Telecommunications
Huang, Yun; González-Brenes, José P.; Kumar, Rohit; Brusilovsky, Peter – International Educational Data Mining Society, 2015
Latent variable models, such as the popular Knowledge Tracing method, are often used to enable adaptive tutoring systems to personalize education. However, finding optimal model parameters is usually a difficult non-convex optimization problem when considering latent variable models. Prior work has reported that latent variable models obtained…
Descriptors: Guidelines, Models, Prediction, Evaluation Methods
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