10 Human-Centered Ways To Use LLMs In Live Tutoring
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10 Human-Centered Ways To Use LLMs In Live Tutoring
"While AI tutors can provide personalized feedback, they cannot yet replicate what human tutors do best: connect, empathize, and build trust. AI can simulate dialogue, but it lacks emotional understanding. Human tutors perceive tone, hesitation, and body language, nonverbal cues that reveal engagement and comprehension. They also navigate ethical and cultural complexities, exercising moral judgment that AI simply doesn't possess."
"As eLearning continues to evolve, many educators worry that AI might replace the human element of teaching. But rather than threatening tutors' roles, AI can actually enhance them. By integrating Large Language Models (LLMs) into live tutoring, educators can boost efficiency, personalize learning, and enrich engagement, while keeping the human relationship at the center. Below are ten practical, human-centered ways to integrate LLMs into your tutoring sessions."
AI offers rapid generation of standards-aligned content that reflects instructional objectives and teacher expertise, reducing lesson-prep time and combating burnout. Customizable AI rooms and learning tools can enhance both group and individual instruction and support tutoring. AI tutors can provide personalized feedback and generate practice activities, but they lack emotional understanding, nonverbal perception, and moral judgment. Human tutors excel at connecting, empathizing, and interpreting tone, hesitation, and body language. Integrating LLMs into live tutoring can boost efficiency, personalize learning, and enrich engagement while keeping human relationships central and requiring human review of AI outputs.
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