AI & study glossary for students
Start with a concise definition and follow linked guides to see how terms fit a study routine.
AI tutor
A digital assistant that responds to learning questions and may guide a learner through explanations or practice. It is not a substitute for an instructor or authoritative source.
AI study assistant
An AI helper for explaining provided material, drafting practice questions, organizing notes, or supporting review. Outputs need source checks.
Active recall
An effort to retrieve information from memory before viewing the answer. A short self-test followed by feedback is one way to practise it.
Spaced repetition
Revisiting study material on separate occasions over time; intervals can be adjusted to recall difficulty and the learning task.
Flashcards
A prompt on one side and response on the other. Focused cards can support recall when the question is clear and answer contextualized.
Retrieval practice
Trying to recall or use learning before consulting the material. It can include self-quizzing, explaining from memory, or solving problems.
Learning science
Research on how people learn, practise, and remember. A study plan should still fit the learner, course, task, and evidence available.
Mind map
A visual arrangement of ideas and their connections. Labelled links make relationships explicit; check the map for accuracy and context.
Study system
A repeatable set of choices for organizing material, practising retrieval, checking gaps, and revisiting what matters for a course.
Quiz
A set of questions used to check recall, understanding, or application. Review the reasoning behind answers and confirm them against the source.
Exam preparation
Planning study around course objectives, available time, practice, and the topics a learner needs to revisit; it cannot guarantee exam content.
Personalized learning
Adapting explanations, practice, or pace to an individual's goals or needs while keeping the learning objectives clear.
Adaptive learning
An approach that adjusts some learning activities in response to a learner's progress or choices. Adaptation should still align with course goals.
Educational AI
Artificial-intelligence tools or methods used in teaching and learning contexts; their usefulness depends on the task, evidence, and safeguards.
Large language model
A machine-learning model trained to process and generate language. Fluent responses can still be incomplete or incorrect and need verification.
Generative AI
AI systems that generate new text or other media from a prompt. Treat study output as a draft to check against assigned materials.
Make your next study session more active.
Turn a reading into something you can practise, check, and revisit.