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 (mentor)
Maurício Aniche Software Engineering - EEMCS (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2021 Ruben Keulemans
More Info
expand_more

Published Date

02-07-2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.