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This is a session of Topic 7: Technology in Statistics education             Full topic list

(Monday 3rd, 16:00-18:00)

Technology-intensive curricula and instruction

Organiser

• Anthony Paul Harradine (Australia)

Abstract

It is not that long ago that statistical instruction was totally free of electronic technology. In that era, at a secondary school level, teachers were directed to focus solely on instructing students in methods of displaying data and calculating statistics. The main approach to the teaching of this was didactic.

Increasing access to electronic technology, among other things, offers the opportunity to:

• include different and more complex concepts into the curriculum
• approach the teaching and learning of statistical concepts in very different ways
• assess statistical understanding and knowledge in different ways
• expect deeper understandings
• have students working as junior statisticians.

It is hoped this session will include presentations on the most up to date work being done in schools, universities, curriculum authorities, work places and so on that showcase the opportunities (and others) listed above and provide feedback on the experiences.

It is also hoped that current research as well as theoretical ponderings will be presented about what is possible, what is not and why when it comes to technology intensive curricula and instruction.

Some questions to consider might be:

• If there is more (and new) knowledge and processes that younger students can reach and work with, what is in and what is out of the curriculum and what is the sequence?
• What are the pros and cons of a more holistic approach to the teaching and learning of statistics - e.g. from inception of problem, through data collection to report?
• What types of assessment processes are appropriate if an intensive use of electronic technology is made during the learning process?
• Can the student’s view of Statistics, as a body of knowledge and a set of tools to solve problems, be affected by the intensive use of electronic technology? What are the cautions?

Papers

Paper	Title	Presenter(s) / Author(s)
7E1	Using simulation to teach and learn statistics	Allan Rossman (United States) Beth Chance
7E2	Differences in students’ use of computer simulation tools and reasoning about empirical data and theoretical distributions	Robin Rider (United States) Hollylynne Stohl Lee
7E3	Teaching spatial statistical techniques and concepts	Richard Charles Castle (United Kingdom)
7E4	Statistics visualization with dynamic geometry	José Alexandre Martins (Portugal)