Print Email Facebook Twitter Procedural Content Generation for Math Education Title Procedural Content Generation for Math Education Author Xu, Y. (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Bidarra, Rafael (mentor) Eisemann, Elmar (graduation committee) Lofi, C. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science Date 2020-08-14 Abstract Mathematics education plays an essential role in children’s development. In the past few years, online mathematics learning has gained increasing popularity. The online learning platform needs a large variety of textual and visual content to offer children a convenient learning experience and help them practice various mathematical skills. However, manually creating content is hugely time-consuming, expensive, and tedious for the content editors. This project proposes a generic approach for procedural generation of mathematical problems and corresponding textual and visual content. We analyzed and clustered hundreds of primary school curriculum-based math knowledge components, and built flexible templates for generating abstract math problems, including arithmetic, comparison, ordering, mathematical relationships, measurements, and geometry. Then our system realizes the abstract math problems in natural language through the lexicalization of language-independent semantic configurations and syntactically structured templates. Our system generates visual content through text-based image retrieval and visualization of abstract math content, varying in the forms of table, chart, geometry, or picture for counting objects. Human expert evaluations found that our generated contents are understandable, sensible, and achieve well usefulness for primary school students. Subject Procedural Content GenerationMath EducationOnline learning To reference this document use: http://resolver.tudelft.nl/uuid:74aabb03-145f-4edf-817c-1731bab086d2 Part of collection Student theses Document type master thesis Rights © 2020 Y. Xu Files PDF Final_Thesis_Report_Yi.pdf 6.72 MB Close viewer /islandora/object/uuid:74aabb03-145f-4edf-817c-1731bab086d2/datastream/OBJ/view