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

(Friday 16th, 14:00-16:00)

Research on technology in statistics education



Technology has created a wealth of new teaching environments and tools (course management systems, applets, data analysis environments), a wealth of new data types (data bases, web forms, sensors streams, social networks), as well as new topics to consider introducing to the curriculum (e.g. randomization-based inference, bootstrapping, computation). In addition, the relationship that students have with data has changed, in that students who participate in Web 2.0, or use cell phones or MP3 music players are creating, and sometimes analyzing or needing to analyze, their own data streams. Session topics will cover challenges to teaching the analysis of “real” data to modern students, research in how students and educators can use technology to improve learning, and changes in the curriculum necessitated by new technology and new data types.


PaperTitlePresenter(s) / Author(s)
8D1Introducing concepts of statistical inference via randomization testsJohn Holcomb (United States)
Beth Chance (United States)
Allan Rossman (United States)
Emily Tietjen (United States)
George Cobb (United States)
8D2Development of ideas in data and chance through the use of tools provided by computer-based technologySibel Kazak (Turkey)
Cliff Konold (United States)
8D3Developing students’ computer-supported simulation and modelling competencies by means of carefully designed working environmentsRolf Biehler (Germany)
Andreas Prömmel (Germany)
8D4Conceptual issues in quantifying expectation: insights from students’ experiences in designing sampling simulations in a computer microworldLuis Saldanha (United States)