ThinkWithPrompt by SynotticThinkWithPrompt

Write my teaching philosophy statement

A concrete, evidence-backed teaching statement for academic job applications, promotion, or awards, in your own voice.

Career & Job SearchFew-ShotStandardEducationWriteExplain & TeachFill-in Template

The prompt

Help me write my teaching philosophy statement. What it's for: [e.g. "faculty job applications at teaching-focused colleges", "tenure dossier", "teaching award"] Length: [e.g. "1-2 pages, single spaced"] My field and courses taught: [LIST, with levels and class sizes] My core beliefs about learning: [2-4 beliefs in my own words, however rough] Specific practices I use: [e.g. "weekly low-stakes quizzes", "community-based projects", "specs grading"] Evidence of impact: [student feedback quotes, outcomes, peer observations, changes I made based on data] Inclusive teaching practices: [what I actually do] A moment that shaped my teaching: [optional] Write a statement that: 1. Opens with a specific classroom moment or a clear claim, not a quote or a cliche ("Teaching is a journey"). 2. Organizes around 3 beliefs. For each: the belief, the practice it leads to in my courses, a concrete example, and evidence it works. 3. Includes how I assess learning and how I improve my teaching over time. 4. Shows how I support students from different backgrounds with specific practices, not general statements. 5. Ends with goals or courses I'd like to teach, tailored to the purpose I named. Rules: first person, my voice, field-specific examples. Use only the evidence I give; mark gaps [ADD EXAMPLE]. Then list 3 sentences a search committee would find generic, with sharper rewrites.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • e.g. "1-2 pages, single spaced"
  • LIST, with levels and class sizes
  • what I actually do
  • optional
  • ADD EXAMPLE

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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