Flexible Authoring of Web-based, Open Answer Mathematics Exercises

Master thesis (2021)

Authors

R. Keulemans Electrical Engineering, Mathematics and Computer Science

Contributors

M.M. Specht Web Information Systems - EEMCS (supervisor 1)
Maurício Aniche Software Engineering - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Ruben Keulemans
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Published Date

02-07-2021

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

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.