Flexible Authoring of Web-based, Open Answer Mathematics Exercises
R. Keulemans (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M.M. Specht – Mentor (TU Delft - Electrical Engineering, Mathematics and Computer Science)
M. Finavaro Aniche – Graduation committee member (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Practice is central in mathematics skill acquisition. The practice process can be facilitated by flexible digital exercise systems, supporting personalized learning and providing students with parameterized, open answer exercises containing answer-specific feedback. However, current solutions for authoring these exercises lack efficiency and expressiveness, or rely on unpopular languages for content generation. To address these issues, this work demonstrates a flexible setup for authoring exercises in Jupyter Notebook cells using Python and the available libraries therein and evaluates this setup with expert users and authors of exercises.