Computers & Digital Literacy · Grade 12
Evaluate Software, AI and Information Sources
Learners judge tools and information the way a careful consultant would. They evaluate software against requirements, privacy terms, update support, total cost of ownership and lock-in; test an AI tool on a small labeled sample and decide how much human review it needs; trace claims and datasets back to their origins with a four-move routine; and make weighted comparisons with must-have criteria and a sensitivity check. The tool library's catalog decision is the running case.
- 4 lessons
- About 115 minutes
- Evaluation check: 10 questions
- Ways to answer: choose an answer, trace code, highlight a text, match pairs, type a number and sort into groups
What learners will discover
- Evaluate software against requirements and practical criteria: accessibility, privacy terms, security and update support, total cost of ownership, data export and lock-in, and support.
- Evaluate an AI tool for a specific task by its fit, error modes, data use and transparency, using a small test set, and decide the level of human review it needs.
- Apply a source-evaluation routine (stop, investigate the source, find better coverage, trace claims to the original) to claims, reports and datasets.
- Make a weighted comparison with must-have criteria, evidence-based scores and a sensitivity check, and state a justified recommendation.
Lessons
-
Evaluating software beyond its features 7 steps4 practiceabout 28 min
-
Evaluating an AI tool for a specific task 6 steps4 practiceabout 28 min
-
Evaluating information sources 6 steps4 practiceabout 28 min
-
Weighted comparisons you can defend 6 steps4 practiceabout 29 min
-
Evaluation check 10 questions at the end
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