A Knowledge Tracer is a type of algorithm used to estimate what a learner knows over time. It tracks a studentnulls progress by analysing their answers to questions and adjusts its predictions as more data is collected. This helps educators understand which topics a student has mastered and which areas may need more attention.
An AI Review Companion is a digital tool powered by artificial intelligence that assists users in reviewing documents, code, products or other materials. It helps by analysing content, suggesting improvements and highlighting errors or inconsistencies. This companion aims to make the review process faster, more accurate and easier for individuals or teams.
An AI change detector is a computer system that uses artificial intelligence to spot and highlight differences between two sets of data, such as images, documents, or sensor readings. It works by comparing the inputs and identifying areas where something has changed, like new objects appearing or things moving. These systems are often used to…
An emotion tracker is a tool or application that helps people monitor and record their feelings over time. It usually lets users select or describe their current emotions and may prompt them to add notes about what influenced their mood. Tracking emotions can help individuals notice patterns, understand triggers, and support their mental wellbeing.
Output format refers to the specific structure or arrangement in which information or data is presented after processing. It determines how results are displayed, saved, or shared, such as text, tables, images, or files in formats like PDF, CSV, or HTML. Choosing the right output format helps ensure the information is easy to use and…
Feedback tags are short labels or keywords used to categorise, summarise, or highlight specific points within feedback. They help organise responses and make it easier to identify common themes, such as communication, teamwork, or punctuality. By using feedback tags, individuals and organisations can quickly sort and analyse feedback for trends or actionable insights.
A token visualiser is a tool that helps people see and understand the individual parts, or tokens, that make up a piece of text or data. It breaks down information such as sentences or code into smaller elements, making it easier to analyse their structure. Token visualisers are often used in natural language processing, programming,…
Prompt metrics are measurements used to evaluate how well prompts perform when interacting with artificial intelligence models. These metrics help determine if a prompt produces accurate, helpful, or relevant responses. By tracking prompt metrics, developers and users can improve the way they communicate with AI systems and get better results.
Reason chains are step-by-step sequences of logical thinking that connect facts or ideas to reach a conclusion or solve a problem. Each step in the chain builds on the previous one, making the reasoning process clear and transparent. This approach helps break down complex problems into manageable parts, making it easier to understand how and…
Logic chains are sequences of connected statements or steps where each point logically follows from the previous one. They are used to build clear reasoning, showing how one idea leads to another. Logic chains help to break down complex problems or arguments into manageable steps, making it easier to understand or explain processes and solutions.