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UX STRAT USA: Belmer Negrillo, "A Personalization Strategy Based on Adaptive Learning"

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UX STRAT USA: Belmer Negrillo, "A Personalization Strategy Based on Adaptive Learning"

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UX STRAT USA: Belmer Negrillo, "A Personalization Strategy Based on Adaptive Learning"

  1. 1. Belmer Negrillo 2016 Personalization Strategy Based On Adaptive Learning What if personalization shifts from pushing products to actually caring about outcomes for individuals?
  2. 2. Belmer Negrillo 2016 Personalization is part of our lives.
  3. 3. Belmer Negrillo 2016
  4. 4. Belmer Negrillo 2016 video from Trunk Club
  5. 5. Belmer Negrillo 2016 Americans Against the Tea Party 3 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 America on 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 America on Thursday This is NOT something you hear from the Trumpster every day. Grab the popcorn! Eagle Rising 7 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 Pundit 13 hours ago Angry Hillary Goes Off on Trump Supporters -- Who she feels are more 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 Republic 13 hours ago ISIS isn't the JV team at all... It's Obama's own Varsity terror force! LIBERAL  CONSERVATIVE  SHOWING POSTS ABOUT: "ISIS" 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
  6. 6. Belmer Negrillo 2016 Personalization examples. Target pregnancy Photo illustration by James Emmerman / Shutterstock Correlates your buying behavior with future personal habits. Predictive Offers Belmer Negrillo 2016
  7. 7. Belmer Negrillo 2016 People want to feel heard and cared.
  8. 8. Belmer Negrillo 2016 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
  9. 9. Belmer Negrillo 2016
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  11. 11. Belmer Negrillo 2016 Ideal personalization is rooted in empathy.
  12. 12. Belmer Negrillo 2016 How might we design digital empathy?
  13. 13. Belmer Negrillo 2016 Adaptive Learning Adaptive UX
  14. 14. Belmer Negrillo 2016 /
  15. 15. Belmer Negrillo 2016Belmer Negrillo 2016
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  18. 18. Belmer Negrillo 2016 How might we design an adaptive learning platform to develop literacy in young learners in Brazil?
  19. 19. Belmer Negrillo 2016 Belmer Negrillo 2016
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  21. 21. Belmer Negrillo 2016 Belmer Negrillo 2016
  22. 22. Belmer Negrillo 2016 Belmer Negrillo 2016
  23. 23. Belmer Negrillo 2016 Regina Andrade Clara Pedagogy Coordinator Colégio Santa Cruz Belmer Negrillo 2016
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  26. 26. Belmer Negrillo 2016 ETAPA 1 ETAPA 2 ETAPA 4ETAPA 3 IDENTIFICAR 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
  27. 27. Belmer Negrillo 2016 ETAPA 1 ETAPA 2 ETAPA 4ETAPA 3 IDENTIFICAR 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 2J. Compor palavras iniciadas com consoantes diferentes combinada com a mesma vogal 2K. Compor a sílaba inicial de palavras que começam da mesma forma (ex: CASACO, CAMISA) 1H. Identificar e comparar palavras que rimam 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. 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_LETTER IDENTIFY_LETTERS_BY_NAME KIDS_NAME_FIRST_LETTER IDENTIFY_LETTERS_BY_NAME IDENTIFY_LETTERS_BY_NAME IDENTIFY_OBJECTS_FIRST_LETTER NAME_RECOGNITION_UNSCRAMBLE_ONLY_FIRST_AND_LAST_LETTERS FIND_MISSING_LETTER_IN_CHILDS_NAME FIND_NAME_THAT_MATCHES_PHOTO IDENTIFY_OBJECTS_FIRST_LETTER RHYMING_SYLLABLES_WITH_IMAGES RHYMING_IMAGES_WITH_IMAGES RHYMING_SYLLABLES_WITH_IMAGES RHYMING_SOUNDS_WITH_WORDS WHAT_RHYME_WITH_THIS_WORD (WORDS_WITH_IMAGES) WHAT_RHYME_WITH_THIS_WORD (WORDS_WITH_IMAGES) MATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDS RHYMING_IMAGES_WITH_IMAGES NAME_RECOGNITION_UNSCRAMBLE FIND_MISSING_LETTER_IN_CHILDS_NAME_KEYBOARD FIND_MISSING_LETTER_IN_OBJECTS_NAME FIND_PHOTO_THAT_MATCHES_NAME MATCH_WORDS_WITH_OBJECTS_DIFFERENT_SPELLING_WORDS NAME_RECOGNITION_UNSCRAMBLE FIND_PHOTO_THAT_MATCHES_NAME MATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDS READ_WORD_FIND_OBJECT WHAT_RHYME_WITH_THIS_WORD MATCH_WORDS_WITH_OBJECTS_SIMILAR_SPELLING_WORDS READ_WORD_FIND_OBJECT WHAT_RHYME_WITH_THIS_WORD IDENTIFY_OBJECTS_FIRST_LETTER IDENTIFY_LETTERS_BY_NAME IDENTIFY_OBJECTS_FIRST_LETTER IDENTIFY_LETTERS_BY_NAME IDENTIFY_OBJECTS_FIRST_LETTER FIND_MISSING_LETTER_IN_CHILDS_NAME IDENTIFY_LETTERS_BY_NAME IDENTIFY_LETTERS_BY_NAME FIND_MISSING_LETTER_IN_CHILDS_NAME FIND_MISSING_LETTER_IN_CHILDS_NAME RHYMING_SYLLABLES_WITH_IMAGES MATCH_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
  28. 28. Belmer Negrillo 2016Adaptive Game Overview Exercises and content adapt to kid’s understanding stage.
  29. 29. Belmer Negrillo 2016Educational Logic
  30. 30. Belmer Negrillo 2016 Belmer Negrillo 2016
  31. 31. Belmer Negrillo 2016Dashboard Reports with insights and activity suggestions in a format for easy interpretation.
  32. 32. Belmer Negrillo 2016 Example of diagnostic & mental model
  33. 33. Belmer Negrillo 2016 = CWKJDSLFS = MTO
  34. 34. Belmer Negrillo 2016 = CWKJDSLFS = MTO COW MOSQUITO
  35. 35. Belmer Negrillo 2016 = CWKJDSLFS = MTO COW MOSQUITO
  36. 36. Belmer Negrillo 2016 = = CWKJDSLFS MTO
  37. 37. Belmer Negrillo 2016 STRATEGY MENTAL MODEL GAMES TO CHALLENGE ASSUMPTIONS = CWKJDSLFS = MTO
  38. 38. Belmer Negrillo 2016
  39. 39. Belmer Negrillo 2016 “Mistakes” will change personalization.
  40. 40. Belmer Negrillo 2016 WRONG DECISIONS FAILED ATTEMPTS UNEXPECTED REACTIONS
  41. 41. Belmer Negrillo 2016
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  44. 44. Belmer Negrillo 2016 Adaptive Learning Adaptive UX
  45. 45. Belmer Negrillo 2016 Personalized Learning Adaptive Learning Rules-based method with a decision tree based on past data Continually adapts the pathway based on current & past data
  46. 46. Belmer Negrillo 2016
  47. 47. Belmer Negrillo 2016 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
  48. 48. Belmer Negrillo 2016 HELP WHEN CONFUSED PROVIDE REASSURANCE PROMOTE LEARNING How does this new personalization look?
  49. 49. Belmer Negrillo 2016 PUSHING CARING USABILITY EMPATHY
  50. 50. Belmer Negrillo 2016 EMPATHY? How might we use personalization to scale
  51. 51. Belmer Negrillo 2016 Thank you! @milkfromstonebelmer@ideo.com

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