ZPD
Zone of Proximal Development (ZPD) is a concept in educational psychology that describes the difference between what a learner can do independently and what they can achieve with guidance and support.
Zone of Proximal Development (ZPD) is a concept in educational psychology that describes the difference between what a learner can do independently and what they can achieve with guidance and support.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
The study of how people acquire knowledge, skills, and behaviors through experience, practice, and instruction.
A learning phenomenon where information is better retained when study sessions are spaced out over time rather than crammed in a short period.
A theory that suggests the depth of processing (shallow to deep) affects how well information is remembered.
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
A guided, interactive overlay that introduces users to features or tasks within an application.
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
A navigation design pattern where users follow a specific order of steps or stages to complete a task, often used in forms, surveys, and instructional guides.