AI in Education

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Artificial Intelligence (AI)

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Computer systems that can perform tasks that typically require human intelligence, such as understanding language, solving problems, and learning from experience.

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Machine Learning

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A type of AI that allows systems to learn and improve from experience without being explicitly programmed.

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Adaptive Learning

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Educational software that adjusts its content and difficulty based on students' responses and performance.

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Personalized Learning

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An educational approach in which AI customizes the pace, content, and method of instruction to match each student's unique needs and abilities.

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Natural Language Processing (NLP)

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AI technology that helps computers understand, interpret, and respond to human language in useful ways.

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Intelligent Tutoring System

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AI-powered software that provides immediate, personalized feedback and guidance to students, similar to a human tutor.

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Algorithm

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A step-by-step set of instructions that tell an AI system how to perform a task or solve a problem.

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Data Privacy

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The protection of student and teacher information collected and used by AI educational systems.

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Large Language Model (LLM)

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An advanced AI system trained on vast amounts of text data that can understand and generate human-like responses to questions and prompts.

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Prompt Engineering

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The skill of crafting effective instructions or questions to get the most useful responses from AI systems.