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

Research on technology in statistics education

Organizer

• Stephanie Budgett (New Zealand) : Session chair

Abstract

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.

Papers