GLOSSARY OF TERMS

An educational approach where digital systems adjust content, difficulty, or pace according to a learner’s needs and performance.

An educational approach where digital systems adjust content, difficulty, or pace according to a learner’s needs and performance.

Computer systems designed to perform tasks that usually require human intelligence, such as understanding language, recognizing patterns, or making decisions.

The ability to understand, critically evaluate, and use AI technologies responsibly.

The collection and analysis of educational data to improve teaching and learning outcomes.

Systematic unfairness in AI systems caused by unbalanced data, flawed design, or societal prejudices.

Large amounts of information collected and analyzed to identify patterns and improve educational decisions.

A teaching model combining face-to-face instruction with online or digital learning activities.

An AI-powered conversational tool that interacts with users through text or voice.

A field of AI that enables computers to interpret and analyze images or videos.

The adaptation of learning materials to match individual student preferences, needs, or abilities.

An educational approach where students progress after demonstrating mastery of specific skills or competencies.

Protection of personal information collected and used by digital systems.

A branch of machine learning using multi-layered neural networks to process complex data.

The ability to use digital technologies effectively, safely, and critically.

Technology tools and platforms designed to support teaching and learning.

The development and use of AI systems in ways that are fair, transparent, safe, and respectful of human rights.

AI systems designed to make their decisions understandable to humans.

The use of AI tools to provide immediate responses or evaluations to learners.

Assessment used during learning to monitor progress and guide improvement.

AI systems capable of creating new content such as text, images, audio, or code.
Examples include chatbots and image-generation tools.

An educational approach ensuring all learners, including those with special educational needs, can participate fully.

An AI-based educational system that provides personalized guidance and feedback.

An AI model trained on vast amounts of text to understand and generate human language.

A digital platform used to organize, deliver, and monitor educational activities.

A branch of AI where computers learn patterns from data and improve performance over time.

A field of AI that enables computers to understand and generate human language.

A computing system inspired by the human brain, used in machine learning and deep learning.

An educational approach tailoring instruction to individual learner needs, interests, and pace.

The use of data and AI to forecast learner performance or identify risks such as dropout.

A computing system inspired by the human brain, used in machine learning and deep learning.

The practice of designing effective prompts to obtain better AI-generated outputs.

The practice of designing effective prompts to obtain better AI-generated outputs.

An educational approach focusing on learners’ needs, interests, and active participation.

Assessment conducted at the end of a learning period to evaluate achievement.

AI-generated content such as images, videos, or voices.

The data used to teach AI systems how to perform tasks.

The principle that AI systems should be understandable and open about how they operate.

An online space where teaching and learning activities take place.