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How Happy is your School?

Do you have an accurate read of the emotional state of your school community? Robin has teamed up with psyML to help schools better measure and track their school’s sentiment. Combining psychology and machine learning, psyML is able to use internal natural language processing & image analysis models to conduct passive assessments on the language and tone of any writing input. Schools immediately receive a sentiment analysis for a single class or an entire school community.

Click here for sample prompt questions

Sample Questions

  • If you were to win a million dollars, okay 10 million, what is the first thing you would do? Why?
  • Which one would pick if your phone could only, 1) make calls, 2) text, or 3) play games. Why?
  • Who do you admire and why?

Get your sentiment score.

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Your sentiment score

Using any writing input, our algorithm uses internal natural language processing to report on sentiment across the five basic human emotions of fear, disgust, anger, sadness and happiness.

The vector graphically depicts the relative weighting of each emotion. The sentiment score is a composite within a range of 0 to 100. While the score as a standalone is not as meaningful, a comparison over time will give an indication as to the trend of sentiment in your school.

Robin partners with schools to leverage this analysis to measure the impact of social and emotional learning initiatives.

Want to learn how you can improve your scores?

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