Impact of Visual Simulations in Statistics (eBook, PDF)
The Role of Interactive Visualizations in Improving Statistical Knowledge
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Glena Iten investigates the impact of interactive visual simulations on conceptual understanding of statistical principles. Overall, all students were able to increase their knowledge by working with visual simulations, whereas students who could manipulate statistical graphs in the simulation on their own were significantly faster. Currently, interactive learning tools explaining statistical concepts are widely spread, but only few are tested. Well-structured interactive learning programs with visual simulations have in the past been shown to be effective. By applying effective instructional ...
Glena Iten investigates the impact of interactive visual simulations on conceptual understanding of statistical principles. Overall, all students were able to increase their knowledge by working with visual simulations, whereas students who could manipulate statistical graphs in the simulation on their own were significantly faster. Currently, interactive learning tools explaining statistical concepts are widely spread, but only few are tested. Well-structured interactive learning programs with visual simulations have in the past been shown to be effective. By applying effective instructional design principles, an online tutorial where students could either manipulate or only observe changes in the visual simulations, was developed. Practical implications and opportunities for further investigations in this research project are discussed.
Contents
Target Groups
The Author
Glena Iten has studied Psychology with specialization in Human-Computer Interaction. She is currently working as a doctoral student and research associate at the Department of Psychology at the University of Basel.
Contents
- Statistical Misconceptions
- Effective Instructional Design Principles
- Application of Design Principles to Investigate the Effect of Statistical Simulations
- Quantitative and Qualitative Analysis of Improvement in Statistical Knowledge
Target Groups
- Researchers and students in psychology, statistics, instructional/educational studies
- Teachers in sciences and mathematics
The Author
Glena Iten has studied Psychology with specialization in Human-Computer Interaction. She is currently working as a doctoral student and research associate at the Department of Psychology at the University of Basel.
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