Belmer Negrillo 2016
Personalization Strategy Based On Adaptive Learning
What if personalization shifts from pushing products to actually caring about outcomes
for individuals?
Belmer Negrillo 2016
Personalization is part of our lives.
Belmer Negrillo 2016
Belmer Negrillo 2016video from Trunk Club
Belmer Negrillo 2016
Blue Feed, Red FeedSee Liberal Facebook and Conservative Facebook, Side by Side
By Jon KeeganPublished May 18, 2016 at 8:00 a.m. ET | Updated hourly
FILTER FEEDS BY TOPIC:
HILLARY CLINTON DONALD TRUMP BARACK OBAMA GUNS ABORTION ISIS TRANSGENDER ORLANDO SHOOTING
DALLAS SHOOTING MELANIA TRUMP KHIZR KHAN
STATE PICKER POLLS FIELD GUIDE CALENDAR ALL ELECTION GRAPHICS
HILLARY CLINTON DONALD TRUMP BARACK OBAMA GUNS ABORTION ISIS TRANSGENDER ORLANDO SHOOTING
DALLAS SHOOTING MELANIA TRUMP KHIZR KHAN
Americans Against the Tea Party3 hours ago
This did NOT go well for Trump.
1.1K 61 547
CNN Humiliates Trump By Quoting 2007 Inter…How do you know when Donald Trump's lying? His mouth is moving. To…
BIPARTISANREPORT.COM | BY ELISABETH PARKER
Media Matters for Americaon Thursday
"He said he had a foolproof plan, and now he is saying today,generals are going to come up with the plan...?"
1.2K 352 557
Jake Tapper Grills Trump Supporter: What Hap…Good question.MEDIAMATTERS.ORG
Liberal Americaon Thursday
This is NOT something you hear from the Trumpster every day.Grab the popcorn!
311 107 142
Trump Just Slipped: ADMITTED on Live TV Th…Uh oh... Trump slipped up at the Commander In Chief Forum given my …LIBERALAMERICA.ORG
Daily Koson Thursday
Smile when you talk about death, girly!
371 223 220
Top Republican: Why didn't Clinton smile when…When a catcaller on the street tells the average woman to smile, she ca…DAILYKOS.COM
The New Yorkeron Thursday
The Borowitz Report: “What I learned from my rallies is that younever tell people in advance how you’re going to attack them. Youwait until they least expect it, and you sucker-punch them in theface. That’s what I would do to ISIS.”
1K 210 513
Trump Says Ordering People at Rallies to Attac…NEW YORK (The Borowitz Report)—Responding to a question about hi…NEWYORKER.COM | BY ANDY BOROWITZ
Eagle Rising7 hours ago
Hillary says ISIS praying for Trump, she wouldn’t give them aid
161 21 111
Hillary says ISIS praying for Trump, she would…SHE ARMED THEM! Hillary and Obama armed have admitted to arming…IPATRIOT.COM
Gateway Pundit13 hours ago
Angry Hillary Goes Off on Trump Supporters -- Who she feels aremore dangerous than ISIS.
356 787 714
Hillary Clinton at Elite NYC Fundraiser Calls H…Democratic presidential nominee Hillary Clinton attacked supporters of h…THEGATEWAYPUNDIT.COM | BY KRISTINN TAYLOR
Allen West Republic13 hours ago
ISIS isn't the JV team at all... It's Obama's own Varsity terror force!
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After Journalist Breaks Free From Islamic Milit…Anthony Lloyd is a British journalist that was taken hostage by a group o…USHERALD.COM
Eagle Rising14 hours ago
ISIS isn't the JV team at all... It's Obama's own Varsity terror force!SHARE if you think Obama should be tried for TREASON!
861 59 1.1K
After Journalist Breaks Free From Islamic Milit…Anthony Lloyd is a British journalist that was taken hostage by a group o…USHERALD.COM
The Federalist Papers17 hours ago
NAILS it!
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What Would Happen If The U.S. Marines And I…BOOM!THEFEDERALISTPAPERS.ORG | BY STEVE STRAUB
LOAD 10 MORE...
Methodology
What is this?
Recent posts from sources where the majority of shared articles aligned “very liberal”
(blue, on the left) and “very conservative” (red, on the right) in a large Facebook study.
In 2015, the journal Science published a research paper by Facebook scientists (Bakshy,
Eytan; Messing, Solomon; Adamic, Lada, 2015, “Replication Data for: Exposure to
Ideologically Diverse News and Opinion on Facebook”,
http://dx.doi.org/10.7910/DVN/LDJ7MS, Harvard Dataverse, V2) which looked at how
a subset of the social network’s users reacted to the news appearing in their feeds.
For six months, Facebook tracked and analyzed the content shared by 10.1 million of its
users (who were anonymized). These users had identified their political views in their
own profiles on Facebook. Analyzing these users’ political labels, the researchers
categorized each as very liberal, liberal, neutral, conservative or very conservative. The
researchers also produced a list of the top 500 sources of content tracked in the study.
For a site appearing in the Journal’s red feed, a majority of the articles shared from it
were classified in the study as “very conservatively aligned.” How did Facebook
researchers calculate that? They examined the self-described political leanings of
people who shared links on Facebook to calculate a political “alignment score” for each
link. Using that score, they grouped the links into five categories, from “very
conservative” to “very liberal.” So that site’s current content appears in the Journal’s
conservative column because more than half of its links fell into the “very
conservative” category during the period of the study (July 7, 2014 through January 7,
2015).
To appear in the Journal’s blue and red feeds, posts must have at least 100 shares, and
come from sources with at least 100,000 followers.
The Journal removed sources that were no longer active and others, such as Twitter
and YouTube, which were simply mechanisms for sharing a wide variety of content.
The reason you won’t find The Wall Street Journal or any of its biggest competitors in
either feed is that their content was shared by Facebook users more broadly across the
political spectrum.
Are you saying these sources are conservative and liberal?
No. If a news source appears in the left column, its links were frequently shared by
Facebook users whom researchers classified as “very liberal,” based on self-described
political leanings. In the right column are sources whose content was widely shared by
Facebook users identified as “very conservative.”
Are you choosing which post to include on each side?
No. The content is being pulled automatically from these sites’ public Facebook pages,
once an hour using Facebook’s software developer tools (specifically, the Graph API).
Are you saying that these views actually simulate what aconservative or liberal sees?
No. It’s possible that users have a wide variety of news items appearing in their feeds.
These are simply posts from sources that aligned with a majority of users of a
particular political view in Facebook’s study.
Why did you build this? Aren’t you just reinforcing assumptionsabout the other side’s biases?
We built this presentation because it’s hard to see these opposing views side by side.
Facebook users who are curious about opposing viewpoints may be apprehensive
about recording a like for a particular news source—an action which may be seen by
other friends. (You can make likes private in Facebook user settings.) This tool gives
people anywhere on the political spectrum the ability to see current discussions about
newsworthy topics from both very conservative and very liberal viewpoints.
You can download a list of the sources included in this project here.
Source: Bakshy, Eytan; Messing, Solomon; Adamic, Lada, 2015, “Replication Data for:
Exposure to Ideologically Diverse News and Opinion on Facebook”,
http://dx.doi.org/10.7910/DVN/LDJ7MS, Harvard Dataverse, V2
To report a problem, write to Jon Keegan at [email protected]
Additional design and development by Laura Holder and Jessia Ma. Additional development byMartin Burch and Palani Kumanan.
Privacy Policy Cookie Policy Copyright Policy Data Policy Subscriber Agreement & Terms of Use Your Ad Choices
Copyright ©2016 Dow Jones & Company, Inc. All Rights Reserved.
LIBERAL CONSERVATIVE SHOWING POSTS ABOUT:
"ISIS"
These Facebook posts do not represent the reporting or opinion of The Wall Street Journal, and are not verified, edited or endorsed in any way. Read our Methodology.
Recent posts from users identified with political views. By Jon Keegan, Wall Street Journal
You may be exposed only to things that reinforce your beliefs, aka filter bubble.
Filtered News Feed
Belmer Negrillo 2016
Personalization examples.Target pregnancy
Photo illustration by JamesEmmerman / Shutterstock
Correlates your buying behavior with future personal habits.
Predictive Offers
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People want to feel heard and cared.
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Ultimate personalization? When you go into a bar and sit down, and the bartender puts a whiskey in front of you without having to ask what you want.Jeff Bezos, Amazon.com CEO
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Ideal personalization is rooted in empathy.
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How might wedesign digital empathy?
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Adaptive Learning
Adaptive UX
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How might we design an adaptive learning platform to develop literacy in young
learners in Brazil?
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Regina Andrade ClaraPedagogy Coordinator Colégio Santa Cruz
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ETAPA 1 ETAPA 2 ETAPA 4ETAPA 3IDENTIFICAR A NECESSIDADE DE MAIS DE UMA LETRA PARA COMPOR A MAIORIA DAS SÍLABAS AMPLIAR O REPERTÓRIO DE SÍLABAS E ANALISAR SUA ESTRUTURA ESCREVER DE ACORDO COM AS CONVENÇÕES DO SISTEMA ALFABÉTICORECONHECER A RELAÇÃO ENTRE A ESCRITA E A PAUTA SONORA
1A. Diferenciar letras de outros símbolos
1D. Identificar palavras que têm a mesma sílaba inicial
1E. Reconhecer e nomear letras
1F. Ampliar o reportório de letras conhecidas
1C. Conhecer o alfabeto
1B. Observar que as palavras podem ser divididas, oralmente, em partes menores (síla-
2I. Compor palavras iniciadas com a mesma consoante combinada com diferentes vogais
2L. Identificar letras que compõem a palavra
2J. Compor palavras iniciadas com consoantes diferentes combinada com a mesma vogal
3N. Escrever palavras
2K. Compor a sílaba inicial de palavras que começam da mesma forma (ex: CASACO, CAMISA)
1H. Identificar e comparar palavras que rimam
3M. Transformar palavras acrescentando uma letra (ex: PATO/ PRATO)
1G. Identificar palavras utilizando indícios como: letra inicial, intermediária, final, letra ou sílaba do próprio nome ou de palavra conhecida 3G. Ler palavras e associar às respectivas imagens
2C.
2D.
2E.
2F.
3D.
3E.
3F.
3H. 4H.
4G.
4N.
4M.
3L.
2H.
2G.
Challenge Map with exercise categories for literacy teaching
Belmer Negrillo 2016
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ETAPA 1 ETAPA 2 ETAPA 4ETAPA 3IDENTIFICAR A NECESSIDADE DE MAIS DE UMA LETRA PARA COMPOR A MAIORIA DAS SÍLABAS AMPLIAR O REPERTÓRIO DE SÍLABAS E ANALISAR SUA ESTRUTURA ESCREVER DE ACORDO COM AS CONVENÇÕES DO SISTEMA ALFABÉTICORECONHECER A RELAÇÃO ENTRE A ESCRITA E A PAUTA SONORA
1A. Diferenciar letras de outros símbolos
1D. Identificar palavras que têm a mesma sílaba inicial
1E. Reconhecer e nomear letras
1F. Ampliar o reportório de letras conhecidas
1C. Conhecer o alfabeto
1B. Observar que as palavras podem ser divididas, oralmente, em partes menores (sílabas)
2I. Compor palavras iniciadas com a mesma consoante combinada com diferentes vogais
2L. Identificar letras que compõem a palavra
2J. Compor palavras iniciadas com consoantes diferentes combinada com a mesma vogal
3N. Escrever palavras
2K. Compor a sílaba inicial de palavras que começam da mesma forma (ex: CASACO, CAMISA)
1H. Identificar e comparar palavras que rimam
3M. Transformar palavras acrescentando uma letra (ex: PATO/ PRATO)
1G. Identificar palavras utilizando indícios como: letra inicial, intermediária, final, letra ou sílaba do próprio nome ou de palavra conhecida 3G. Ler palavras e associar às respectivas imagens
2C.
2D.
2E.
2F.
3D.
3E.
3F.
3H. 4H.
4G.
4N.
4M.
3L.
2H.
2G.
FIND_WORDS_THAT_START_WITH_THE_SAME_LETTER
WORD_CHANGE_WITH_SINGLE_LETTER
FIND_COMMON_START_SYLLABLE_FOR_BOTH_WORDS
KIDS_NAME_FIRST_LETTERIDENTIFY_LETTERS_BY_NAME
KIDS_NAME_FIRST_LETTERIDENTIFY_LETTERS_BY_NAME
IDENTIFY_LETTERS_BY_NAMEIDENTIFY_OBJECTS_FIRST_LETTER
NAME_RECOGNITION_UNSCRAMBLE_ONLY_FIRST_AND_LAST_LETTERSFIND_MISSING_LETTER_IN_CHILDS_NAMEFIND_NAME_THAT_MATCHES_PHOTO
IDENTIFY_OBJECTS_FIRST_LETTER
RHYMING_SYLLABLES_WITH_IMAGESRHYMING_IMAGES_WITH_IMAGES
RHYMING_SYLLABLES_WITH_IMAGESRHYMING_SOUNDS_WITH_WORDS
RHYMING_SOUNDS_WITH_WORDSWHAT_RHYME_WITH_THIS_WORD (WORDS_WITH_IMAGES)MATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDS
WHAT_RHYME_WITH_THIS_WORD (WORDS_WITH_IMAGES)MATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDS
RHYMING_IMAGES_WITH_IMAGES
ORGANIZING_SYLLABLES_2_LETTERS_ONLY_THE_NECESSARY_SYLLABLESORGANIZING_SYLLABLES_2_LETTERS_MORE_SYLLABLES_THAN_NECESSARY
NAME_RECOGNITION_UNSCRAMBLE
NAME_RECOGNITION_UNSCRAMBLE
ORGANIZING_SYLLABLES_2_LETTERS_MORE_SYLLABLES_THAN_NECESSARYNAME_RECOGNITION_UNSCRAMBLE
ADD_LETTER_TO_CHANGE_WORD_TO_WORD_IN_THE_SIGN ADD_LETTER_TO_CHANGE_WORD_TO_WORD_IN_THE_SIGN
WRITE_WORD_IN_THE_SIGN_ONLY_NEEDED_LETTERS_AVAILABLEWRITE_WORD_IN_THE_SIGN_MORE_LETTERS_THAN_NEEDED_AVAILABLE
WRITE_WORD_IN_THE_SIGN_MORE_LETTERS_THAN_NEEDED_AVAILABLEWRITE_WORD_IN_THE_SIGN_KEYBOARD
UNSCRAMPLING_SYLLABLES_3_LETTERS
FIND_MISSING_LETTER_IN_CHILDS_NAME_KEYBOARD
FIND_MISSING_LETTER_IN_OBJECTS_NAME
FIND_PHOTO_THAT_MATCHES_NAMEMATCH_WORDS_WITH_OBJECTS_DIFFERENT_SPELLING_WORDS
NAME_RECOGNITION_UNSCRAMBLEFIND_PHOTO_THAT_MATCHES_NAMEMATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDSREAD_WORD_FIND_OBJECTWHAT_RHYME_WITH_THIS_WORD
MATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDSREAD_WORD_FIND_OBJECTWHAT_RHYME_WITH_THIS_WORD
IDENTIFY_OBJECTS_FIRST_LETTER
IDENTIFY_LETTERS_BY_NAMEIDENTIFY_OBJECTS_FIRST_LETTER
IDENTIFY_LETTERS_BY_NAMEIDENTIFY_OBJECTS_FIRST_LETTER
FIND_MISSING_LETTER_IN_CHILDS_NAME
IDENTIFY_LETTERS_BY_NAME IDENTIFY_LETTERS_BY_NAMEFIND_MISSING_LETTER_IN_CHILDS_NAME FIND_MISSING_LETTER_IN_CHILDS_NAME
RHYMING_SYLLABLES_WITH_IMAGESMATCH_FIRST_SYLLABLE_USING_DIFFERENT_CV_LETTERS
MATCH_FIRST_SYLLABLE_USING_DIFFERENT_CV_LETTERS MATCH_FIRST_SYLLABLE_USING_DIFFERENT_CV_LETTERS MATCH_FIRST_SYLLABLE_USING_DIFFERENT_CV_LETTERS
PÁSSARO GULOSO GAME
PÁSSARO GULOSO GAME PÁSSARO GULOSO GAME
Belmer Negrillo 2016Adaptive Game Overview
Exercises and content adapt to kid’s understanding stage.
Belmer Negrillo 2016Educational Logic
Belmer Negrillo 2016Belmer Negrillo 2016
Belmer Negrillo 2016Dashboard
Reports with insights and activity suggestions in a format for easy interpretation.
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Exampleof diagnostic
& mental model
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= CWKJDSLFS
= MTO
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= CWKJDSLFS
= MTO
COW
MOSQUITO
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= CWKJDSLFS
= MTO
COW
MOSQUITO
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=
=
CWKJDSLFS
MTO
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STRATEGY
MENTAL MODEL GAMES TO CHALLENGEASSUMPTIONS
= CWKJDSLFS
= MTO
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“Mistakes” will change
personalization.
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WRONG DECISIONS
FAILED ATTEMPTS
UNEXPECTEDREACTIONS
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Adaptive Learning
Adaptive UX
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PersonalizedLearning
AdaptiveLearning
Rules-based method with a decision tree based on past data
Continually adapts the pathway based on
current & past data
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Gritty Discovery Channel Reality TV
Romantic Chinese Crime Movies
Dark Suspenseful Sci-Fi Horror Movies
Gritty Suspenseful Revenge Westerns
Evil Kid Horror Movies
Visually-striking Goofy Action & Adventure…
Hybrid human modeling + machine intelligence approach
Pre-Syllabic (9 kinds)
Syllabic (8 kinds)
Syllabic-Alphabetic (5 kinds)
Alphabetic (10 kinds)
Orthographic
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HELP WHENCONFUSED
PROVIDEREASSURANCE
PROMOTELEARNING
How does this new personalization look?
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PUSHING CARING
USABILITY EMPATHY
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EMPATHY?
How might we use personalization to scale