AI Literacy
A four-module introduction to generative AI: how it works, its ethics and limits, prompting, and citing AI responsibly.
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Each badge bundles short readings, activities, and assessments into one importable package. More are in progress.
APA Style
Citing sources, formatting references, and building a reference list in APA 7th edition, with practice and a quick-check quiz.
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Badges on evaluating sources, search strategies, and academic integrity are next.
Badge 01
AI Literacy
Help students understand what generative AI is, where it fails, how to use it ethically, and how to cite it. Built for any course, not only technical ones.
What's covered
- 1The fundamentals. What AI is, what generative AI is, and how large language models actually work.
- 2Using generative AI well. Real uses, prompt engineering, and an intro to "vibe coding": building by describing.
- 3Ethics & limits. Bias, misinformation, fairness, AI and the environment, AI agents, and detection myths.
- 4Using AI in your work. Fact-checking, citing AI, and a "Billion Bees" case study that ties it together.
What students can do after
- ✓
Explain generative AI in plain language and describe some of its real limitations.
- ✓
Write and refine prompts to get more useful, accurate results.
- ✓
Recognize bias and misinformation and weigh the ethical trade-offs of AI tools.
- ✓
Cite AI use appropriately and fact-check AI output against reliable sources.
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Openly licensed (CC BY 4.0). Free to download, adapt, and reuse with attribution.
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Badge 02
APA Style
A focused, practice-based intro to citing sources and formatting references in APA 7th edition. The package is being assembled now; here's what it will include.
What it will cover
- AWhy we cite. Giving credit, avoiding plagiarism, and the logic of a citation.
- BIn-text citations. Author–date format, direct quotes, and paraphrase.
- CThe reference list. Common source types and hanging-indent formatting.
- DPractice & check. Build-a-reference activities and a short self-check quiz.
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