Turning Student Feedback into Actionable Teacher Growth
A structured program to transform student feedback into reports that foster teacher growth, with strong emphasis on data privacy and iterative refinement using ChatGPT. Utilizes behavioral principles and reflection for deeper engagement.
Program Modules
Phase 1: Feedback Collection & Initial Reflection
Gather student feedback through surveys with open-ended and Likert scale questions. Reflect on current feedback collection methods and biases.
Access Mock Feedback Data
OnceAccess the mock student feedback data in Google Sheets for initial analysis and familiarization.
Create Personal Copy
OnceCreate a personal copy of the Google Sheet for analysis. Loss Aversion Framing: Not creating a copy may limit ability to do later steps.
Reflect on Current Collection Method
WeeklySpend 15 minutes reflecting on the current process of gathering feedback. Use the reflective prompts provided.
Phase 2: Anonymization & Privacy Considerations
Focus on removing PII to protect student privacy. Explore alternative anonymization techniques & consider peer comparison.
Delete Student Names
OnceRemove the student name column from the copied Google Sheet to anonymize the data.
Data Privacy Self-Audit
WeeklyPerform a self-audit to ensure all PII has been removed. Anchor to end of day for 10 minutes.
Phase 3: Data Preparation for ChatGPT
Prepare the anonymized data by downloading in a format suitable for ChatGPT. Consider implications of file formats.
Download as Excel
OnceDownload the Google Sheet as a Microsoft Excel (.xlsx) file for ChatGPT upload. Provide reasoning why this format is preferred.
Review File Format Implications
WeeklySpend 5 minutes to research and document any concerns around the file format. Stack to lunch break.
Phase 4: ChatGPT Analysis & Prompt Engineering
Analyze data with ChatGPT. Iterate on prompts to refine report generation. Context provided for prompts.
Upload Data to ChatGPT
OnceUpload the downloaded Excel file to ChatGPT for analysis. Highlight ease of use and potential security considerations.
Apply Initial Prompt
OnceCopy and paste the provided initial prompt into ChatGPT and run the analysis. Provided Prompt: Act as a School Data Analyst...
Iterate on Prompt Design
WeeklyDedicate time to iterate on the initial prompt to improve the quality and actionability of generated reports. Use social comparison.
Phase 5: Actionable Steps & Follow-Up
Refine report & generate actionable steps for school leaders. Follow-up prompt provided. Highlight potential benefits of completion.
Use Follow-Up Prompt
OnceUse the provided follow-up prompt to generate actionable steps for school leaders from the refined report. Follow-up Prompt: Now based on the...
Leadership Review & Action Planning
WeeklyReview the generated actionable steps. Plan and implement relevant actions. Emphasize potential benefits of program completion.
What You'll Accomplish
- Understand the importance of student data privacy and ethical considerations when collecting and analyzing feedback.
- Learn how to effectively anonymize student feedback data to protect student identity.
- Utilize ChatGPT for data analysis and report generation, with prompt engineering techniques.
- Generate actionable and supportive reports for teachers based on student feedback insights.
- Identify follow-up strategies for school leaders to support teacher growth and improve student outcomes using data-driven approaches.
Full program access + updates