Exploration of the way in which students interacted with the software package, TinkerPlots Dynamic Data Exploration, to answer questions about a data set using different forms of graphical representations, revealed that the students used three dominant strategies – Snatch and Grab, Proceed and Falter, and Explore and Complete. The participants in the study were 12 year 5-and-6 students (11-12 years old) who completed data analysis activities and answered questions about the data analysis process undertaken. The data for the inquiry were collected by on-screen capture video as the students worked at the computer with TinkerPlots. Thematic analysis was used to explore the data to determine the students’ strategies when conducting data analysi...
The deep and surface learning approaches are closely related to the students' interaction with learn...
The use of digital technology requires creativity and interaction between users. This is to support ...
International audienceThe conceptualization of sampling is crucial to understand statistical data. H...
This paper explores the use of the dynamic software package, TinkerPlots, as a research tool to assi...
The introduction of computers in schools does not guarantee the improvement of the teaching of Mathe...
Current need for interpreting data, making inferences from existing data, leads to an increased emph...
In this chapter, I describe ideas underlying the design of a software tool we developed for middle s...
Covariation is recognised as an important aspect of statistical thinking and reasoning and is used t...
When learners use computers, they typically look at the screen, type, use the mouse, talk, write, sk...
International audienceThis paper reports on preliminary results of a study aiming to identify inform...
Examining Middle School Students\u27 Statistical Thinking While Working in a Technological Environme...
International audienceThe poster identifies the dimensions of graph exploration and analysis of 18 p...
Initial research has shown that simulating data from models created with computer software may enhan...
The purpose of this study was to investigate students ’ patterns of interactions within a game-based...
Exploratory data analysis is an essential for preliminary examinations of data. Through the analysi...
The deep and surface learning approaches are closely related to the students' interaction with learn...
The use of digital technology requires creativity and interaction between users. This is to support ...
International audienceThe conceptualization of sampling is crucial to understand statistical data. H...
This paper explores the use of the dynamic software package, TinkerPlots, as a research tool to assi...
The introduction of computers in schools does not guarantee the improvement of the teaching of Mathe...
Current need for interpreting data, making inferences from existing data, leads to an increased emph...
In this chapter, I describe ideas underlying the design of a software tool we developed for middle s...
Covariation is recognised as an important aspect of statistical thinking and reasoning and is used t...
When learners use computers, they typically look at the screen, type, use the mouse, talk, write, sk...
International audienceThis paper reports on preliminary results of a study aiming to identify inform...
Examining Middle School Students\u27 Statistical Thinking While Working in a Technological Environme...
International audienceThe poster identifies the dimensions of graph exploration and analysis of 18 p...
Initial research has shown that simulating data from models created with computer software may enhan...
The purpose of this study was to investigate students ’ patterns of interactions within a game-based...
Exploratory data analysis is an essential for preliminary examinations of data. Through the analysi...
The deep and surface learning approaches are closely related to the students' interaction with learn...
The use of digital technology requires creativity and interaction between users. This is to support ...
International audienceThe conceptualization of sampling is crucial to understand statistical data. H...