Full topic list
This is a session of Topic 8: Research in statistics education

(Tuesday 15th, 10:55-12:25)

Research on technology in statistics education



Technology has resulted in a shift in statistical practice, with more use being made of computer-intensive methods. In order that the statistics education community sustain links between education and practice by supporting innovation and reform in statistics education, it is important that we too embrace the power of technology. Indeed the Guidelines for Assessment and Instruction in Statistics Education (GAISE) include the role of technology as an important one, particularly as a tool to develop conceptual understanding. When assessing the effectiveness of new technologies, it is important to consider the following questions. What are the types of conceptual understanding and statistical reasoning that can be supported by technology? How do we design new learning tasks for new technologies? What obstacles stand in the way of the introduction of new technologies, and how can we overcome them? How do students interact with new technologies when exploring data? Papers in this session will focus on research findings and issues that arise in students’ reasoning processes when they interact and learn with technology, and in the use of technology in statistics education.


PaperTitlePresenter / Co-author(s)
8J1Constructing inferential concepts through bootstrap and randomization-test simulations: a case studyMaxine Pfannkuch (New Zealand)
Stephanie Budgett (New Zealand)
8J2Measuring the effectiveness of using computer assisted statistics textbooks in KenyaZachariah Mbasu (Kenya)
Roger Stern (Kenya)
David Stern (Kenya)
Bernard Manyalla (Kenya)
8J3Comparing groups by using TinkerPlots as part of a data analysis task — tertiary students’ strategies and difficultiesDaniel Frischemeier (Germany)