Training Mexican high school teachers to enhance data science teaching
DOI:
https://doi.org/10.52041/iase2023.305Abstract
This paper aims to describe advances in a proposal for preparing Mexican high school teachers to teach data science according to the six phases of the Data Investigation Process cycle: frame the problem; consider and gather the data; process the data; explore and visualize the data; consider the models; and communicate and propose actions. We report an online course guided by the Data Investigation Process cycle to provide Mexican high school in-service teachers with knowledge about techniques used in data science. We identify how in-service teachers become aware of the phases when asked to investigate a real problem through a project. Teachers found difficulties in formulating an investigative question and faced the problem of finding databases of real problems. The retrospective analysis allows us to evaluate some improvements that can be made to the course so that teachers can develop the skills that data science teaching demands.References
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