Teaching and testing with data graphs using R-Shiny

Reimann, D (Daniel)¹, Gaschler, R (Robert)¹, Zhao, F (Fang)¹, Kubik, V (Veit)^2
1FernUniversität in Hagen, Universitätsstraße 33, D58097 Hagen, Germany
²Martin-Luther-Universität Halle-Wittenberg, Emil-Abderhalden-Str. 26-27, D06108 Halle (Saale), Germany

 

Submission type

Poster only

Scheduled

Poster Sessions 3 (15.00-15.30)

Keywords

online learning, graph literacy, automated feedback

Summary

The goal is to try and discuss some of our web-based applications using R-Shiny in teaching. We’d like to get feedback on our project and identify potential for collaborations.

Literacy with respect to different formats of data graphs is an important educational goal as data graphs can be used to support communication and knowledge acquisition. Whether doing science, learning science, or just reading the news, we are frequently faced with graphical representations of crucial data. Today there are accessible tools to program web-based interactive data graphs to (1) teach different data graph formats and to (2) teach and test knowledge in different domains (such as learning and forgetting in cognitive psychology or fluctuations of energy market prices). The workshop will show how R-Shiny can be used to set up respective applications rather easily. Applications allow for efficient feedback in a free-recall format of self-testing.

Auteurs