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Lonneke Boels; Alex Lyford; Arthur Bakker; Paul Drijvers – Frontline Learning Research, 2023
Many students persistently misinterpret histograms. Literature suggests that having students solve dotplot items may prepare for interpreting histograms, as interpreting dotplots can help students realize that the statistical variable is presented on the horizontal axis. In this study, we explore a special case of this suggestion, namely, how…
Descriptors: Data Interpretation, Interpretive Skills, Statistical Distributions, Graphs
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Van Meter, Peggy N. – Frontline Learning Research, 2020
The goal of this special issue is to examine the use of self-report measures in the study of motivation and strategy use. This commentary reviews the articles contained in this special issue to address the primary objective of determining if and when self-report measures contribute to understanding these major constructs involved in self-regulated…
Descriptors: Motivation, Learning Strategies, Measurement Techniques, Self Management
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Knöchelmanna, Nina; Krueger, Sabine; Flack, Anita; Osterhaus, Christopher – Frontline Learning Research, 2019
The ability to correctly interpret data is an important skill in modern knowledge societies. The present study investigates adults' ability to interpret covariation data presented in bar graphs. Drawing on previous findings that show that the problem context influences the interpretation of contingency tables (grounded and concrete problems are…
Descriptors: Adults, Data Interpretation, Interpretive Skills, Graphs
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Van Gasse, Roos – Frontline Learning Research, 2019
In recent years, the emphasis on interaction in data use has grown because of its potential to support individual teachers. However, in practice, teachers do not appear to interact widely in their use of data, either formally or informally. To gain knowledge of how sustainable data use interactions can be facilitated, this study investigated how…
Descriptors: Staff Meetings, Data Use, Teacher Attitudes, Interaction
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Moreno-Estevaa, Enrique Garcia; White, Sonia L. J.; Wood, Joanne M.; Black, Alex A. – Frontline Learning Research, 2018
In this research, we aimed to investigate the visual-cognitive behaviours of a sample of 106 children in Year 3 (8.8 ± 0.3 years) while completing a mathematics bar-graph task. Eye movements were recorded while children completed the task and the patterns of eye movements were explored using machine learning approaches. Two different techniques of…
Descriptors: Artificial Intelligence, Man Machine Systems, Mathematics Education, Eye Movements
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Vriesema, Christine Calderon; McCaslin, Mary – Frontline Learning Research, 2020
Self-report data have contributed to a rich understanding of learning and motivation; yet, self-report measures present challenges to researchers studying students' experiences in small-group contexts. Rather than using self-report data alone, we argue that fusing self-report and observational data can yield a broader understanding of students'…
Descriptors: Group Dynamics, Small Group Instruction, Measurement Techniques, Student Experience