Legal Education – Glossary

Glossary of Terms

A

AI (Artificial Intelligence): The simulation of human intelligence processes by machines, especially computer systems, including learning, reasoning, and self-correction.

Assessment: A systematic evaluation of a student’s learning and understanding of course material, often through exams, projects, or other methods.

C

Curriculum: The subjects comprising a course of study in a school or college.

D

Digital Skills: The ability to use digital devices, communication applications, and networks to access and manage information.

E

Ethics: Moral principles that govern a person’s behavior or the conducting of an activity, particularly important in the use of AI.

Evaluation: The making of a judgment about the amount, number, or value of something; assessment.

F

Feedback: Information provided by an agent (e.g., teacher, peer, book, parent, self) regarding aspects of one’s performance or understanding.

G

GenAI (Generative AI): AI systems that can generate content, such as text, images, or music, from learned data patterns.

I

Innovation: The introduction of something new; a new idea, method, or device.

Integrity: The quality of being honest and having strong moral principles; moral uprightness.

L

Law: The system of rules which a particular country or community recognizes as regulating the actions of its members and which it may enforce by the imposition of penalties.

P

Professors: Academic instructors at colleges and universities who teach and often engage in research.

Projects: Extended pieces of work requiring planning, research, and design, often used as a method of assessment.

S

Students: Individuals who are enrolled in educational institutions to learn and acquire knowledge.

T

Technology: The application of scientific knowledge for practical purposes, especially in industry.

Tools: Devices or implements, especially ones held in the hand, used to carry out a particular function, including digital and AI tools.

Transparency: Openness, communication, and accountability regarding decisions and practices, particularly in the use of AI.