Ray Palin (@raypalin) 's Twitter Profile
Ray Palin

@raypalin

ID: 15646110

linkhttp://raypalin.org calendar_today29-07-2008 13:42:47

917 Tweet

248 Followers

203 Following

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Man, what fun it's been teaching these awesome people this year! I'm lucky and, though they don't need it, I'm wishing them luck on tomorrow's #APUSH Exam.

Man, what fun it's been teaching these awesome people this year! I'm lucky and, though they don't need it, I'm wishing them luck on tomorrow's #APUSH Exam.
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This year the most #APUSH doggie bags goes to Jordan! 2nd place: Lizzy and Quinn! #SuperDoggieBagsofSuperHistoryStudentsSuperTreatRewards

This year the most #APUSH doggie bags goes to Jordan! 2nd place: Lizzy and Quinn! #SuperDoggieBagsofSuperHistoryStudentsSuperTreatRewards
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These guys used Newspapers.com to determine, quantitatively, the most turbulent years of the 20th century. The top 3: 1968, 1919, 1970. apush.omeka.net/2019 to check out their #history #data and #dataviz

These guys used <a href="/_newspapers/">Newspapers.com</a> to determine, quantitatively, the most turbulent years of the 20th century. The top 3: 1968, 1919, 1970. apush.omeka.net/2019 to check out their #history #data and #dataviz
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"Tracking the 1918 Flu Pandemic in Print" <apush.omeka.net/2020> is the product of my 2020 AP history students. Their Library of Congress findings suggest that the disease was more serious than the coverage. #dh #dayofdh2020 #dighist #data #bigdata #ChronAm

"Tracking the 1918 Flu Pandemic in Print" &lt;apush.omeka.net/2020&gt; is the product of my 2020 AP history students. Their <a href="/librarycongress/">Library of Congress</a> findings suggest that the disease was more serious than the coverage. #dh #dayofdh2020 #dighist #data #bigdata #ChronAm
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Inspired by an The Economist Data Team analysis of Joe Biden's inaugural address, these awesome history students used text analysis to look for religious and other sentiments within historical speeches. Their project at apush.omeka.net/2021 #sentimentanalysis #data

Inspired by an <a href="/ECONdailycharts/">The Economist Data Team</a> analysis of <a href="/JoeBiden/">Joe Biden</a>'s inaugural address, these awesome history students used text analysis to look for religious and other sentiments within historical speeches. Their project at apush.omeka.net/2021 #sentimentanalysis #data
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They examined song psychology throughout history using lyrics, linguistic inquiry word counting by @liwc_software, and their APUSH knowledge. Findings and cool music dataviz at apush.omeka.net/2022

They examined song psychology throughout history using lyrics, linguistic inquiry word counting by @liwc_software, and their APUSH knowledge. Findings and cool music dataviz at apush.omeka.net/2022
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They designed an election forecasting model for predicting the winner of the #NHprimary. Back-testing for 2016 and 2020 had mixed results, but the model did point to Trump and Biden as eventual nominees--doing so 6 months in advance of the NH vote! apush.omeka.net/2023

They designed an election forecasting model for predicting the winner of the #NHprimary. Back-testing for 2016 and 2020 had mixed results, but the model did point to Trump and Biden as eventual nominees--doing so 6 months in advance of the NH vote! apush.omeka.net/2023
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Using JSTOR, Voyant Tools, and DataBasic, these students created a vocabulary-based formula for scoring the usefulness of movies for teaching United States history. Among the best are Thirteen Days and Harriet from Focus Features. apush.omeka.net/2024

Using <a href="/JSTOR/">JSTOR</a>, <a href="/VoyantTools/">Voyant Tools</a>, and DataBasic, these students created a vocabulary-based formula for scoring the usefulness of movies for teaching United States history. Among the best are Thirteen Days and Harriet from <a href="/FocusFeatures/">Focus Features</a>. apush.omeka.net/2024