CYApr 28

Does This Even Matter in the Real World? Real World Problems in Foundational Theory Courses

arXiv:2604.2508244.2
Predicted impact top 49% in CY · last 90 daysOriginality Synthesis-oriented
AI Analysis

For educators teaching foundational theory courses, this work provides evidence that students already perceive the material as relevant, though the intervention was well-received.

The study introduced real-world application homework questions in foundational theory courses (discrete math and probability) and surveyed students on perceived relevance. Surprisingly, fewer than 7% of students found the material irrelevant at both the start and end of the term, and students enjoyed the problems.

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.

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