Innovation and reform in teaching probability within statistics



Concepts and models of uncertainty and variability are at the heart of statistical thinking and analysis. Hence probabilistic concepts and thinking underpin all of statistics. Chance and Data developments should be intertwined, in harmony and both driven by data, real contexts and problem-solving. As in all of statistics, students bring to formal education in probability concepts and intuitions from everyday real experiences, and the teaching of probability needs to build on these and link formal notions to the everyday, to real contexts and – constantly – to data. In order to enrich conceptual understanding and underpin formal developments with experiential insights, sustainable representations of probability, integrated with data and statistical thinking, will render concepts accessible and more easily exemplified. These invited sessions will address much-needed reforms in teaching probability in harmony with statistics and will explore current innovations and new directions.


6ABayesian inference (probability) goes to school: meanings, tasks and instructional challengesPer Nilsson (Sweden)
6BProbability and p-values — probing the problemsRobyn Reaburn (Australia)
6CInterdisciplinarity and innovationAnnie Savard (Canada)
6DTeaching probability to future teachers of mathematics and statisticsMarcos Magalhães (Brazil)
6EModeling distributions to connect chance processes, data production, and data distributionsHollylynne Stohl Lee (United States)
6FTeachers’ awareness of conceptual connections between probability and statisticsDionysia Bakogianni (Greece)