OpineBot: Class Feedback Reimagined Using a Conversational LLM

Understand

Conventional class feedback systems often fall short, relying on static, unengaging surveys offering little incentive for student participation.

• To address this, we present OpineBot, a novel system employing large language models (LLMs) to conduct personalized, conversational class feedback via chatbot interface.
• We assessed OpineBot's effectiveness in a user study with 20 students from an Indian university's Operating-Systems class, utilizing surveys and interviews to analyze their experiences.
• Findings revealed a resounding preference for OpineBot compared to conventional methods, highlighting its ability to engage students, produce deeper feedback, offering a dynamic survey experience.