Lifelong Learning
Engagement in self-assessment of digital skills. Using self-reflection to tailor accessible digital environments and continue digital skills learning.
Guiding Questions
- Do I take time to reflect on what I’ve learned and set goals for what I still want to learn?
- When I need to learn something new, am I able to find and use online resources?
- Am I able to adapt to new tools and technology, building on my current skills and experiences?
Open in Google Sheets
Open in Google SlidesFor more digital skills vocabulary resources, visit the Digital Skills Glossary
| Term | Definition |
|---|---|
| adaptability | (n) the ability to adjust or change in response to new conditions or situations |
| artificial intelligence | (n) a field of computer science where machines do tasks that usually need human intelligence |
| automation | (n) the act or process of controlling machines or devices without needing someone to do it manually |
| badge | (n) an icon awarded to a user for an achievement |
| certification | (n) a professional qualification that certifies a person's ability. |
| course | (n) a class (or classes) in a specific subject |
| digital literacy | (n) the ability to use information and communication technologies to find, evaluate, create, and communicate information, requiring both cognitive and technical skills |
| digital resilience | (n) having the awareness, skills, agility, and confidence to be empowered users of new technologies and adapt to changing digital skill demands |
| ethical AI | (n) the practice of creating and using AI in ways that are fair, safe, and respectful to people |
| forum | (n) a place (often on the Internet) where people can talk and share information |
| generate | (n) the practice of creating and using AI in ways that are fair, safe, and respectful to people |
| generative AI (GenAI) | (n) a type of artificial intelligence that can create new content like text, images, music, or videos based on patterns it has learned from data |
| goal | (n) something you want to do or be able to do |
| input | (n) the data an AI application uses to learn or to perform a task |
| Internet of Things (IoT) | (n) network of everyday objects—like thermostats, lights, cars, or smartwatches—that are connected to the internet and can collect, send, or receive data. |
| large language models (LLMs) | (n) advanced AI systems trained on large amounts of text to understand and generate human-like language |
| machine learning | (n) a way computers learn to do things by themselves using data and patterns |
| microcredential | (n) a focused credential that can be earned in a short period of time, and is often competency-based |
| model | (n) a computer program that learns from data to make choices or predictions |
| MOOC | (n) a massive open online course designed for a very large enrollment, offered on the World Wide Web by an educational institution and typically free of charge |
| natural language processing (NLP) | (n) A part of AI that helps computers understand, interpret, and respond to human language |
| output | (n) the final result or creation of an AI system, based on what it was asked to do and using its existing inputs |
| personalize | (v) to change something to fit a person's needs or likes |
| plagiarism | (n) using someone's creative work without providing credit to them |
| predictions | (n) guesses the AI makes based on data |
| reflect | (v) think about something carefully |
| search | (n) the results when one looks for information (v) look for information (on the internet, on a computer, in a document, etc.) |
| self-assess | (v) to evaluate or analyze one's own abilities, performance, or qualities |
| tutorial | (n) a lesson or set of lessons prepared so that a student can learn at their own speed, at their convenience |
| webinar | (n) a live, online presentation conducted over the internet |