NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Fielding, Jill; Makar, Katie – Instructional Science: An International Journal of the Learning Sciences, 2022
Conceptual challenge is often considered a necessary ingredient for promoting deep learning in an inquiry-based environment. However, challenge alone does not support conceptual development. In this paper, we draw on complexity theory as a theoretical lens to explore how a primary teacher facilitated students' conceptual change through repeated…
Descriptors: Elementary School Students, Statistics Education, Mathematics Education, Elementary School Mathematics
Peer reviewed Peer reviewed
Direct linkDirect link
Makar, Katie; Allmond, Sue – ZDM: The International Journal on Mathematics Education, 2018
Children have limited exposure to statistical concepts and processes, yet researchers have highlighted multiple benefits of experiences in which they design and/or engage informally with statistical modelling. A study was conducted with a classroom in which students developed and utilised data-based models to respond to the inquiry question,…
Descriptors: Statistics, Mathematical Models, Prediction, Statistical Distributions
Peer reviewed Peer reviewed
Direct linkDirect link
Bakker, Arthur; Ben-Zvi, Dani; Makar, Katie – Mathematics Education Research Journal, 2017
To understand how statistical and other types of reasoning are coordinated with actions to reduce uncertainty, we conducted a case study in vocational education that involved statistical hypothesis testing. We analyzed an intern's research project in a hospital laboratory in which reducing uncertainties was crucial to make a valid statistical…
Descriptors: Statistical Inference, Case Studies, Statistics, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Doerr, Helen M.; Delmas, Robert; Makar, Katie – Statistics Education Research Journal, 2017
Teaching from an informal statistical inference perspective can address the challenge of teaching statistics in a coherent way. We argue that activities that promote model-based reasoning address two additional challenges: providing a coherent sequence of topics and promoting the application of knowledge to novel situations. We take a models and…
Descriptors: Foreign Countries, Elementary School Students, Statistical Inference, Logical Thinking
Peer reviewed Peer reviewed
Direct linkDirect link
Ben-Zvi, Dani; Bakker, Arthur; Makar, Katie – Educational Studies in Mathematics, 2015
The goal of this article is to introduce the topic of "learning to reason from samples," which is the focus of this special issue of "Educational Studies in Mathematics" on "statistical reasoning." Samples are data sets, taken from some wider universe (e.g., a population or a process) using a particular procedure…
Descriptors: Mathematics Instruction, Statistical Analysis, Mathematical Logic, Statistical Inference
Peer reviewed Peer reviewed
Direct linkDirect link
Makar, Katie – Australian Mathematics Teacher, 2013
Statistics is one of the most widely used topics for everyday life in the school mathematics curriculum. Unfortunately, the statistics taught in schools focuses on calculations and procedures before students have a chance to see it as a useful and powerful tool. Researchers have found that a dominant view of statistics is as an assortment of tools…
Descriptors: Statistical Inference, Statistics, Prediction, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Makar, Katie; Bakker, Arthur; Ben-Zvi, Dani – Mathematical Thinking and Learning: An International Journal, 2011
Informal statistical inference (ISI) has been a frequent focus of recent research in statistics education. Considering the role that context plays in developing ISI calls into question the need to be more explicit about the reasoning that underpins ISI. This paper uses educational literature on informal statistical inference and philosophical…
Descriptors: Statistics, Instruction, Statistical Inference, Grade 6
Peer reviewed Peer reviewed
Direct linkDirect link
Makar, Katie; Rubin, Andee – Statistics Education Research Journal, 2009
Informal inferential reasoning has shown some promise in developing students' deeper understanding of statistical processes. This paper presents a framework to think about three key principles of informal inference--generalizations "beyond the data," probabilistic language, and data as evidence. The authors use primary school classroom…
Descriptors: Statistical Inference, Elementary School Students, Elementary School Teachers, Elementary School Mathematics