Manual team formation required over 20 hours of instructor effort, while the algorithm produced assignments in milliseconds¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Creating teams manually took over 20 hours of instructor effort, whereas the algorithm produced higher-quality assignments in milliseconds. → Brandon Pardi 2026

Evidence¶

Brandon Pardi 2026¶

Brandon Pardi, Garret Castro, Michael Pisman, Avash Adhikari, and Santosh Chandrasekhar. (2026). Improving Capstone Team Outcomes through Dynamic Skill Matching and Preference Alignment. https://arxiv.org/abs/2606.15572 doi:10.48550/arxiv.2606.15572

q2 · i? · design · r2

Authors' report in the Results and Discussion section on the practical cost of manual assignment in their capstone courses, contrasting the "over 20 hours of instructor effort" with the algorithm's millisecond-scale runtime.

"Finally, it is worth noting the practical cost of manual assignment. Creating teams manually required over 20 hours of instructor effort to carefully review data and assign students. In contrast, the algorithm produces assignments of higher quality in a matter of milliseconds, demonstrating not only better balance but also high efficiency."

Discussion¶

Related Claims¶

• A dynamic skill-weighted matching algorithm achieves higher percentage of skills fulfilled than manual and random assignment across both evaluated semesters — related
• Manual assignment achieved the highest average student preference toward assigned projects, with the algorithm competitive and both substantially above random assignment — related
• LLM assistance shifts instructor effort from manual setup toward pedagogical expression — related
• Former capstone students' team-formation priorities centered on interesting topics, preferred teammates, and skill or career alignment — related