Post Assessment:
First Name: ___________
Last Initial: __
Grade: __
Date: __/__/____
Time: __:__
1. How does the algorithm learn what the user likes?
a. It guesses based off of previous users' actions
b. It asks the user
c. It guesses based off of the user's previous actions
d. It guesses randomly
2. What are some real-life examples of content recommendation algorithms?
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3. Complete the sentence: The algorithm knows what the user likes because...
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4. I
5. How would you explain the algorithm and how it learns to someone who hasn't played the game?
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6. Complete the sentence: If the user left lots of comments on 'Angry' content, the algorithm
would respond by...
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7. What are some potential negative effects of using an algorithm like this?
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(notes)
If misleading content gave a higher score, how would the algorithm respond?
If a user has a high 'Angry' score, what kind of content does the algorithm give them?
What could be a possible negative outcome of the above scenario?
How would you explain the algorithm and how it learns to someone who hasn't played the game?
What are some real-life examples of content recommendation algorithms?
a simple question about the algorithm that everyone should get right
How does the algorithm learn what the user likes?
it guesses based off of previous reactions
it asks the user
it guesses randomly
it guesses based off of who the user follows
a slightly harder one that some should get right
a question about ethics or whatever
explain the algorithm to someone
real life examples
(notes for the post-survey:)
probably have some sort of printout for the kid to fill out
take down their name, grade, date/time, etc.
use true-false, multiple-select, fill-in-the-blank, complete-the-sentence, and open-ended questions
we can't really measure growth/learning, but we can measure a change in attitudes or something
we want to be able to categorize their experiences
try to see if how you taught things is good or not
whether or not they 'grasped' the concept
we most probably want to frame it as a conversation because surveys are boring and lame
(notes continued:)
so because we're not really teaching any concrete technical skill, we can't really test them on their understanding at the end
instead, we want to gauge their attitudes and maybe how their attitudes have changed
with qualitative data, we analyze it by 'coding' or categorizing it into different categories
e.g. sort an answer into 'negative' or 'positive' by looking for certain words