Editing AI in Education (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Intelligent Tutoring System (ITS)''' — A software system providing individualized instruction and feedback, adapting to each student's knowledge state.
* '''Adaptive learning''' — Educational technology that adjusts content, pacing, and difficulty based on real-time assessment of student performance.
* '''Knowledge tracing''' — Modeling a student's knowledge state over time to predict which concepts they have mastered and which they still need to learn.
* '''Spaced repetition''' — A memory technique that schedules review of material at increasing intervals, based on the forgetting curve.
* '''Automated Essay Scoring (AES)''' — Using NLP to automatically grade written essays for quality dimensions like coherence, grammar, and argumentation.
* '''Learning Management System (LMS)''' — A software platform for delivering, managing, and tracking educational courses (Moodle, Canvas, Blackboard).
* '''xAPI / SCORM''' — Standards for tracking learning activity data from LMS and educational applications.
* '''Dropout prediction''' — Using ML to identify students at risk of dropping out or failing, enabling early intervention.
* '''Learning analytics''' — The measurement, collection, analysis, and reporting of data about learners to understand and optimize learning.
* '''Personalized learning path''' — An AI-generated sequence of learning activities tailored to an individual student's needs, goals, and pace.
* '''Formative assessment''' — Low-stakes assessment during learning, used to monitor progress and provide feedback; AI can automate this at scale.
* '''Bloom's Taxonomy''' — A hierarchical framework of learning objectives from Remembering through Creating; used to design educational content and assess depth of learning.
* '''Item Response Theory (IRT)''' — A psychometric framework modeling the probability of a student answering an item correctly as a function of student ability and item difficulty.
* '''Bayesian Knowledge Tracing (BKT)''' — A hidden Markov model for tracking student knowledge state over item responses.
* '''Deep Knowledge Tracing (DKT)''' — Using LSTMs to model student knowledge states from sequences of exercises and responses.
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