dc.contributor.author | David Stern, Roger Stern, Danny Parsons, James Musyoka, Francis Torgbor, Zach Mbasu | |
dc.date.accessioned | 2020-11-25T07:06:59Z | |
dc.date.available | 2020-11-25T07:06:59Z | |
dc.date.issued | 2020-02-01 | |
dc.identifier.uri | https://repository.maseno.ac.ke/handle/123456789/2997 | |
dc.description.abstract | The African Data Initiative started as a crowd-sourced campaign to improve the
teaching of statistics in African universities. The analysis of climate data provides one
suitable context to illustrate ideas that lead to a radical new form of teaching. The problem
within the context comes first, the technicalities are largely reduced – mathematics is
supported by meta knowledge and backed up by modelling; calculations are reduced by
user-friendly software that is also used by experts. The problems are treated similarly to
research questions and the results are often easier to interpret, making sense as potential
answers in their context. The criteria of this approach are compared to the framework
proposed by W. G. Cobb to reform statistics education in the light of the latest developments
in statistics, driven by the huge increase of data. Implementation details are presented
around three components: case studies, data, and the required skills. Together, these three
components describe an alternative education pathway centred around statistical problem
solving. The focus on interpretations of results within a real context enables software,
mathematical thinking and modelling to play a supportive role, which flattens the
prerequisites of complex methods and encourages their use across all levels of education. | en_US |
dc.subject | Statistics education research; Climate Data; Technological innovation; African context | en_US |
dc.title | Envisioning Change in the Statistics-Education Climate. | en_US |
dc.type | Article | en_US |