Saved in:
Bibliographic Details
Main Author: Kuznetsova, Anna
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.25082
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915962262913024
author Kuznetsova, Anna
author_facet Kuznetsova, Anna
contents Discrete mathematics and probability theory contain foundational material for computer scientists. Despite their importance, instructors often worry that students will find these courses to be too abstract and seemingly disconnected from their future careers. For this research project, we introduced homework questions throughout our introductory theory courses based on real world applications of the course content. Areas of application included a court case, code correctness, and machine learning ethics. We surveyed students at the beginning and end of the term on their attitudes toward the relevance of the course material. Our results, surprisingly, indicate that a small minority of students (less than 7%) expected the material to be irrelevant to them at the start of the term, and a similarly small number believed that at the end of the term. Our surveys and qualitative feedback also indicate students enjoyed having the problems and wanted them to continue being offered in future iterations of the courses.
format Preprint
id arxiv_https___arxiv_org_abs_2604_25082
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Does This Even Matter in the Real World? Real World Problems in Foundational Theory Courses
Kuznetsova, Anna
Computers and Society
Discrete mathematics and probability theory contain foundational material for computer scientists. Despite their importance, instructors often worry that students will find these courses to be too abstract and seemingly disconnected from their future careers. For this research project, we introduced homework questions throughout our introductory theory courses based on real world applications of the course content. Areas of application included a court case, code correctness, and machine learning ethics. We surveyed students at the beginning and end of the term on their attitudes toward the relevance of the course material. Our results, surprisingly, indicate that a small minority of students (less than 7%) expected the material to be irrelevant to them at the start of the term, and a similarly small number believed that at the end of the term. Our surveys and qualitative feedback also indicate students enjoyed having the problems and wanted them to continue being offered in future iterations of the courses.
title Does This Even Matter in the Real World? Real World Problems in Foundational Theory Courses
topic Computers and Society
url https://arxiv.org/abs/2604.25082