Investigating the Presence and Development of Student Instructor Preferences in a Large-Scale CS1 Course

Research from arXiv explores the evolution of student instructor preferences within a large-scale Computer Science 1 (CS1) course. Utilizing a novel learning platform that offers content from multiple instructors, the study quantifies how student preferences emerge and change over a semester through repeated selections. This approach addresses previous limitations in understanding preference dynamics due to traditional course structures and reliance on one-time measurements.

Why it matters

Understanding the dynamic nature of student instructor preferences is critical for optimising learning environments and content delivery strategies. This research provides insights into how preferences form and evolve, which can inform decisions on pedagogical approaches, instructor assignment, and the design of educational platforms to enhance student engagement and learning outcomes.

Key insights

• Prior research acknowledges the significance of student instructor preferences and influencing factors.
• The dynamics of how student instructor preferences develop and change over time are not well understood.
• Common course structures and single-point measurements limit the study of preference evolution.
• A novel learning platform allows students to choose instructional content from multiple instructors.
• This platform enables the quantification of preference emergence and evolution throughout a semester.
• The study examines both initial and final student instructor preferences.
• Preliminary findings suggest that preference is dynamic.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.06782