Digital Literacy – Year 3
Erscheinungsbild
Digital Literacy in Year 3 moves beyond basic operation towards deeper analysis, independent research, data interpretation, collaborative production, Computational Thinking and responsible digital action.
The course follows the 19 topic areas used in the Year 3 teaching materials and is organised around the five competence areas of the Austrian curriculum: Orientation, Information, Communication, Production and Action. The technical/media (T), societal/cultural (G) and interaction-related (I) perspectives are combined as appropriate.
What you should be able to do by the end of Year 3
[Bearbeiten]You can, among other things:
- evaluate technical developments from several perspectives;
- explain how artificial intelligence supports or controls software and physical systems;
- critically assess personalised media and search services;
- search independently, compare sources and document research results;
- read charts, recognise patterns and formulate cautious predictions;
- use data to support statements without confusing correlation and causation;
- use cloud storage, sharing, versions and access rights responsibly;
- distinguish public, private, confidential and secret information;
- organise digital group projects, crowdsourcing and surveys;
- shape digital identity consciously and protect digital reputation;
- apply Computational Thinking and implement simple solutions in code;
- create media for a target audience and improve accessibility;
- adapt software settings independently;
- recognise embedded computer systems in everyday objects;
- reflect on the ecological consequences of digitalisation;
- protect devices, accounts and files more effectively from malware and data loss.
Chapters
[Bearbeiten]Orientation
[Bearbeiten]- Technology, Environment and Society
- AI in Software and Physical Systems
- Media Use and Personalisation
- Trade-offs of Digital Technologies
Information
[Bearbeiten]- Personalised Search Routines
- Independent Information and Data Search
- Patterns in Data Visualisations
- Data, Cause and Effect, and Predictions
- Cloud-based Systems
Communication
[Bearbeiten]- Publishing and Protecting Information
- Crowdsourcing, Surveys and Digital Projects
- Digital Identity and Reputation
Production
[Bearbeiten]Action
[Bearbeiten]- Adapting Software to Personal Needs
- Computer Systems in Everyday Objects
- Ecology and Digitalisation
- Viruses and Malware
Practical focus
[Bearbeiten]- Search and browsers: formulate search goals, use operators, compare sources, question personalised results and document research paths.
- Excel / spreadsheets: structure and sort data, check it, create charts, describe patterns and interpret results cautiously.
- Word and PowerPoint: structure documents and presentations clearly, use alternative text and improve accessibility.
- E-mail and digital communication: choose recipients, attachments, confidentiality and sharing permissions appropriately.
- Cloud and file management: name and organise files, synchronise, track versions, set permissions and keep additional copies of important work.
- Settings: adapt browsers, office applications and other software for readability, workflow, notifications, privacy and security.
- Programming: decompose problems, design algorithms, use conditions and loops, test and debug.
- Security: recognise phishing and malware and understand updates, secure accounts and backups as a connected protection strategy.