Epistemic Programming - An insight-driven programming concept for Data Science

A Place for a Data Science Project in School: Between Statistics and Epistemic Programming

“…Our approach to a data science project is based on ideas from Krajcik and Blumenfeld (2006) and Rubin and Mokros (2018). Additionally, the didactical approach of epistemic programming (Hüsing, 2021) provided an appropriate framework for active participation of the students in the field of data science (Kay, 2007).…”

“…Generally, without this active way of working in the context of the domain, it would have been difficult for the students to get and internalize the findings from their data analysis, as Kay (2007) described, and several students confirmed. Concretely, the students used programming as a tool to gain new insights (Hüsing, 2021;Winkelnkemper, 2018), which can serve as a basis for new solutions forin this case environmental-problems or questions.…”

“…The newly developed didactical approach of epistemic programming (Hüsing, 2021) is the source for "new insights" in this project. Epistemic programming has the purpose of acquiring new knowledge that goes beyond the activity of programming itself and cannot be obtained without the programming process, or only with great difficulty.…”

“…We are interested in the deep connection between the programming process itself and the insights that this process reveals. We have attempted to design our teaching unit to take advantage of that connection, and call this approach didactical epistemic programming (Hüsing, 2021) in accordance with Hershkowitz et al (2001) and Bereiter (1980).…”