short description of this 9:30 A.M. This research paper compares AI and human mentorship in education through a mixed-methods study of 120 undergraduate students. Key findings: AI strengths: Fast, consistent, scalable feedback; good for structured tasks Human strengths: Nuanced, emotionally intelligent guidance; better for complex problem-solving Outcomes: Human mentorship showed modestly better academic performance and higher student satisfaction, trust, and perceived feedback quality Main conclusion: The study recommends hybrid models that use AI for routine, high-volume feedback while reserving human mentors for complex, relational, and emotionally sensitive guidance. Current AI systems struggle with context, emotion, and unstructured problems areas where human mentors excel.
Zeeshan Muhammad (Thu,) studied this question.