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Digital Literacy – Year 3

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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

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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

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Orientation

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  1. Technology, Environment and Society
  2. AI in Software and Physical Systems
  3. Media Use and Personalisation
  4. Trade-offs of Digital Technologies

Information

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  1. Personalised Search Routines
  2. Independent Information and Data Search
  3. Patterns in Data Visualisations
  4. Data, Cause and Effect, and Predictions
  5. Cloud-based Systems

Communication

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  1. Publishing and Protecting Information
  2. Crowdsourcing, Surveys and Digital Projects
  3. Digital Identity and Reputation

Production

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  1. Computational Thinking
  2. Media Cultures and Forms of Representation
  3. Accessible Media Productions

Action

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  1. Adapting Software to Personal Needs
  2. Computer Systems in Everyday Objects
  3. Ecology and Digitalisation
  4. Viruses and Malware

Practical focus

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  • 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.

Continue learning

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