You need tothink/guessbeforeanswering adifficultquestionhow do wecall peoplewho areaged 2-3:Saysomethingfunny aboutyour friendPrediction:Use an applike Shazamto identify asongDataSet:too much/toomany: BringexamplesTask:DataSet:you need tothink/concentrateon your workpeople buildhousesevery year.MakepassiveGet“nudged” torespond toan email onGmailDataSet:DataSet:Communicatewith acustomerservice bota row ofhouse thatare joinedwith thesame wallTask:Task:DataSet:Prediction:Prediction:See asuggestedad onSnapchatTask:Task:Task:Task:Prediction:being goodat Maths andfindinganswers toproblemsDataSet:DataSet:Task:when you plansomethingbeforehand youuse will/be goingtoDataSet:Prediction:Click onanInstagramadHave anemail go toyour spamfolderFREEDataSet:Prediction:SaysomethinginterestingaboutyourselfPrediction:Prediction:Use a mapapp to finda path to adestinationHave anemaillabeled as“important”understandingother peopleHe boughtthe newphone lastyear. MakepassiveReceive aproductrecommendationon Amazonto believeand tobelieve intell thedifferencePrediction:Task:Have anews appsuggestan articlehow do wecall peopleover theage of 65DataSet:See arecommendedproduct onFacebookcananyone/everyonegive me theanswer?peoplewho enjoybeing ontheir ownUse yourface tounlock adeviceListen to arecommendedsong onSpotifya housethat isalsomovingMy mummade adeliciouscake. Makepassivepeople who aregood atmoving,dancing,walking,runningTask:let/beallowed tobringexamplesentenceslovingnatureand takingcare of itDataSet:Prediction:people whoare usuallygoodspeakersTask:for andsince:bringexamplesentencesDataSet:Task:Prediction:Prediction:Task:Have yourwordsautocorrectedin a textPrediction:The men wascrying, buteveryone/nooneapproachedhimTask:DataSet:Prediction:DataSet:DataSet:Prediction:You need tothink/guessbeforeanswering adifficultquestionhow do wecall peoplewho areaged 2-3:Saysomethingfunny aboutyour friendPrediction:Use an applike Shazamto identify asongDataSet:too much/toomany: BringexamplesTask:DataSet:you need tothink/concentrateon your workpeople buildhousesevery year.MakepassiveGet“nudged” torespond toan email onGmailDataSet:DataSet:Communicatewith acustomerservice bota row ofhouse thatare joinedwith thesame wallTask:Task:DataSet:Prediction:Prediction:See asuggestedad onSnapchatTask:Task:Task:Task:Prediction:being goodat Maths andfindinganswers toproblemsDataSet:DataSet:Task:when you plansomethingbeforehand youuse will/be goingtoDataSet:Prediction:Click onanInstagramadHave anemail go toyour spamfolderFREEDataSet:Prediction:SaysomethinginterestingaboutyourselfPrediction:Prediction:Use a mapapp to finda path to adestinationHave anemaillabeled as“important”understandingother peopleHe boughtthe newphone lastyear. MakepassiveReceive aproductrecommendationon Amazonto believeand tobelieve intell thedifferencePrediction:Task:Have anews appsuggestan articlehow do wecall peopleover theage of 65DataSet:See arecommendedproduct onFacebookcananyone/everyonegive me theanswer?peoplewho enjoybeing ontheir ownUse yourface tounlock adeviceListen to arecommendedsong onSpotifya housethat isalsomovingMy mummade adeliciouscake. Makepassivepeople who aregood atmoving,dancing,walking,runningTask:let/beallowed tobringexamplesentenceslovingnatureand takingcare of itDataSet:Prediction:people whoare usuallygoodspeakersTask:for andsince:bringexamplesentencesDataSet:Task:Prediction:Prediction:Task:Have yourwordsautocorrectedin a textPrediction:The men wascrying, buteveryone/nooneapproachedhimTask:DataSet:Prediction:DataSet:DataSet:Prediction:

Intelligences - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. You need to think/guess before answering a difficult question
  2. how do we call people who are aged 2-3:
  3. Say something funny about your friend
  4. Prediction:
  5. Use an app like Shazam to identify a song
  6. Data Set:
  7. too much/too many: Bring examples
  8. Task:
  9. Data Set:
  10. you need to think/concentrate on your work
  11. people build houses every year. Make passive
  12. Get “nudged” to respond to an email on Gmail
  13. Data Set:
  14. Data Set:
  15. Communicate with a customer service bot
  16. a row of house that are joined with the same wall
  17. Task:
  18. Task:
  19. Data Set:
  20. Prediction:
  21. Prediction:
  22. See a suggested ad on Snapchat
  23. Task:
  24. Task:
  25. Task:
  26. Task:
  27. Prediction:
  28. being good at Maths and finding answers to problems
  29. Data Set:
  30. Data Set:
  31. Task:
  32. when you plan something beforehand you use will/be going to
  33. Data Set:
  34. Prediction:
  35. Click on an Instagram ad
  36. Have an email go to your spam folder
  37. FREE
  38. Data Set:
  39. Prediction:
  40. Say something interesting about yourself
  41. Prediction:
  42. Prediction:
  43. Use a map app to find a path to a destination
  44. Have an email labeled as “important”
  45. understanding other people
  46. He bought the new phone last year. Make passive
  47. Receive a product recommendation on Amazon
  48. to believe and to believe in tell the difference
  49. Prediction:
  50. Task:
  51. Have a news app suggest an article
  52. how do we call people over the age of 65
  53. Data Set:
  54. See a recommended product on Facebook
  55. can anyone/everyone give me the answer?
  56. people who enjoy being on their own
  57. Use your face to unlock a device
  58. Listen to a recommended song on Spotify
  59. a house that is also moving
  60. My mum made a delicious cake. Make passive
  61. people who are good at moving, dancing, walking, running
  62. Task:
  63. let/be allowed to bring example sentences
  64. loving nature and taking care of it
  65. Data Set:
  66. Prediction:
  67. people who are usually good speakers
  68. Task:
  69. for and since: bring example sentences
  70. Data Set:
  71. Task:
  72. Prediction:
  73. Prediction:
  74. Task:
  75. Have your words autocorrected in a text
  76. Prediction:
  77. The men was crying, but everyone/no one approached him
  78. Task:
  79. Data Set:
  80. Prediction:
  81. Data Set:
  82. Data Set:
  83. Prediction: