Platform-independent and curriculum-oriented intelligent assistant for higher education

Abstract Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due insecurities or scheduling conflicts, which can lead missed opportunities for questions. To support self-paced learning encourage creative thinking skills, academic institutions must redefine their approach education by offering flexible educational pathways that recognize continuous this end, we developed an AI-augmented intelligent assistance framework based on powerful language model (i.e., GPT-3) automatically generates course-specific assistants regardless of discipline level. The virtual teaching assistant (TA) system, at the core our framework, serves as voice-enabled helper capable answering wide range questions, from curriculum logistics course policies. By providing with easy access information, TA help improve engagement reduce barriers At same time, it also logistical workload TAs, freeing up time focus other aspects supporting students. Its GPT-3-based knowledge discovery component generalized system architecture are presented accompanied methodical evaluation system’s accuracy performance.