Simple explanations for the terms you encounter when using AI for learning. No jargon, just what matters.
An artificial intelligence system designed to help students learn. Unlike a general chatbot, an AI tutor is optimized for education — it explains concepts step-by-step, asks guiding questions, and adapts to the student's level. Compare with human tutors.
The technology behind AI tutors like ChatGPT and FamilyLearn.AI. It's a computer program trained on vast amounts of text to understand and generate human language. LLMs can answer questions, write text, and explain concepts, but they can also make mistakes.
The skill of asking AI the right way to get the best answer. For example, "Explain fractions to a 10-year-old" works better than "Fractions." Students learn this skill naturally as they use AI tutors.
AI that creates new content — text, images, audio, code. In education, generative AI creates explanations, practice problems, and study guides. The content is generated on-the-fly rather than retrieved from a database.
An AI tool specifically designed to assist with homework. It differs from general AI chatbots by providing step-by-step explanations rather than just answers. Learn more.
Technology that adjusts to the student's pace and level. If a student struggles with division, the AI provides more practice. If they excel, it moves forward. The content adapts in real-time based on performance.
A learning technique where material is reviewed at increasing intervals. AI tutors can automatically schedule review sessions for topics a student found difficult, helping move knowledge from short-term to long-term memory.
Evaluation during learning, not just at the end. AI tutors provide formative assessment by checking understanding in real-time, offering hints when students struggle, and confirming comprehension before moving on.
A teaching model where students learn concepts at home (via AI tutor or videos) and do practice work in class. AI tutors are ideal for the "at home" part, providing explanations that students can review multiple times.
The Children's Online Privacy Protection Act (US law). It requires parental consent before collecting data from children under 13. Any AI tool for kids should be COPPA-compliant. FamilyLearn.AI is designed with COPPA principles in mind.
The Family Educational Rights and Privacy Act (US law). It protects the privacy of student education records. AI tutors that integrate with schools must comply with FERPA to ensure student data is not improperly shared.
A control panel where parents can view their child's AI interactions. It shows chat history, subjects covered, time spent learning, and progress metrics. Essential for families using AI tutors responsibly. See how FamilyLearn.AI does it.