23 skills · sorted by relevance
Design a sequence where students compare AI's handling of the same question across disciplines, developing a mental model of where AI is reliable vs. distorting based on knowledge type.
The English summary is being prepared. Showing the original description.
Design a sequence where students compare AI's handling of the same question across disciplines, developing a mental model of where AI is reliable vs. distorting based on knowledge type.
The English summary is being prepared. Showing the original description.
Create an HTML engineering presentation using the tech-sharing template, with OpenDesign internals as the example subject. Organize the slide plan, supporting evidence, visual direction, and speaker notes, with presentation controls and animation support.
Build HTML slides for an OpenDesign live demo, showing how a short prompt becomes a runnable design. Organize the presentation, visual direction, speaker notes, and animations using the supplied deck template.
Create HTML slides about choosing and connecting AI models in OpenDesign using your own API key. Use a terminal-style template to explain costs, quality, and model routing decisions, with speaker notes and presentation controls.
Builds an HTML presentation for enterprise AI adoption decisions, using a dark purple gradient template. It organizes local-first agent workflows, risk controls, return on investment, and rollout plans for leadership, IT, and security audiences.
After any AI-generated explanation, require the learner to identify one place it could be wrong, one thing to check, and one source to consult. Builds epistemic vigilance — treats AI output as a claim to evaluate, not truth to absorb.
The English summary is being prepared. Showing the original description.
Design a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output. Use when students use AI without understanding why output quality varies.
The English summary is being prepared. Showing the original description.
Map which elements of an assignment benefit from AI assistance vs. which AI use undermines. Use when redesigning tasks for AI-age classrooms or setting defensible AI use policies for specific assignments.
The English summary is being prepared. Showing the original description.
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.
The English summary is being prepared. Showing the original description.
Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. Use when students know a subject well enough to evaluate AI claims about it.
The English summary is being prepared. Showing the original description.
Design a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically.
The English summary is being prepared. Showing the original description.
Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.
The English summary is being prepared. Showing the original description.
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
The English summary is being prepared. Showing the original description.
Design metacognitive checkpoints that prevent AI-assisted learning from bypassing genuine understanding. Use when students use AI tools and may overestimate their own comprehension.
The English summary is being prepared. Showing the original description.
Design a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output. Use when students use AI without understanding why output quality varies.
The English summary is being prepared. Showing the original description.
Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence. Use when students know a subject well enough to evaluate AI claims about it.
The English summary is being prepared. Showing the original description.
Map which elements of an assignment benefit from AI assistance vs. which AI use undermines. Use when redesigning tasks for AI-age classrooms or setting defensible AI use policies for specific assignments.
The English summary is being prepared. Showing the original description.
Design a multi-round questioning sequence for interrogating AI chatbot answers, tracking how responses shift and distinguishing genuine updates from sycophantic capitulation. Use when teaching students to probe AI critically.
The English summary is being prepared. Showing the original description.
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.
The English summary is being prepared. Showing the original description.
After any AI-generated explanation, require the learner to identify one place it could be wrong, one thing to check, and one source to consult. Builds epistemic vigilance — treats AI output as a claim to evaluate, not truth to absorb.
The English summary is being prepared. Showing the original description.
Design a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.
The English summary is being prepared. Showing the original description.
「新任職員向けに生成 AI 基礎研修を作りたい」「SD 研修資料を短時間で組み立てたい」 「自分自身のリテラシー棚卸しをしたい」「新人に AI の使い分けを 30 分で説明したい」 「ハルシネーションの見抜き方を教えたい」場面で使う、大学職員向け AI リテラシー入門スキル。 プロンプトの基本構造・ハルシネーション検出・サービス選定を、30〜60 分のコア研修に そのまま流用できる章立てで提供する。
The English summary is being prepared. Showing the original description.