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The Laughing PC Using Jokes in Software to Improve Childrens Reading Comprehension Nicola Yuill, Psychology/Ideas Lab, University of Sussex nicolay@sussex.ac.uk Research teams: Riddles: Rose Luckin, Darren Pearce, Cindy Kerawalla, Amanda


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SLIDE 1

The Laughing PC

Using Jokes in Software to Improve Children’s Reading Comprehension

Nicola Yuill, Psychology/Ideas Lab, University of Sussex nicolay@sussex.ac.uk

Research teams: Riddles: Rose Luckin, Darren Pearce, Cindy Kerawalla, Amanda Harris, NY Bahlas: Pat George, Bob Daines, Di Pearson, Brighton & Hove LEA, NY Joke City version 1: John Bradwell, Mary Ulicsak, NY & thanks to all the children and teachers who took part in the research.

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SLIDE 2

Overview

  • Background: factors in reading comprehension
  • Poor comprehension: its impact
  • Language play, language awareness and discussion
  • Program 1: Joke City --intervention

Evidence for effectiveness

  • Program 2: Bahlas -- assessment

Evidence

  • Program 3: WordCat: coordinating sound and meaning

Using two mice and Scoss to encourage true collaborative working with peers

  • Questions and comments
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SLIDE 3

Factors in poor reading comprehension

  • Poor working memory: simultaneous storage

and processing e.g. mental arithmetic

  • Poor inferential skill

John took 5 books. How many books? John pedalled over the bridge. How did John travel?

  • Poor ‘language awareness’: distinguishing form

and meaning, knowing how you know

  • (poor decoding)
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SLIDE 4

Poor reading comprehension

Neale Analysis of Reading Ability Read each story aloud, answer questions at the end Accuracy Age: reading errors Comprehension Age: questions

  • 15% of 580 7-9yr olds had comprehension ages 6-24mo below their

reading age

6.6 6.8 7 7.2 7.4 7.6 7.8 8 8.2 8.4 8.6 chron age acc age compr age poor good

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SLIDE 5

Importance of comprehension assessment and intervention

  • Comprehension covers many different skills
  • Comprehension sometimes under-resourced and under-

assessed

  • Assessment often individual, so lengthy
  • Comprehension generally not formally assessed

independent of decoding problems

  • Comprehension in SATs increasingly tests retrieval of

literal information (Hilton, 2001)

  • Comprehension problems often hard to spot in everyday

conversation

  • Comprehension needs to be learned (developed), not

just taught

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SLIDE 6

Joke City

  • Teachers use jokes and riddles to develop

literacy skills

  • Joke workshops for years 3-6 (popular with

boys, performance aspects)

  • Articulating meanings for yourself and

negotiating meaning with a peer: not taught but developed

  • Language ambiguity highlights focus on meaning

and relation of meaning to surface form

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SLIDE 7

Language play, awareness, discussion

Homonyms, intonation patterns, syntactic ambiguity

  • Why do cows have bells?

Because their horns don’t work.

  • Why don’t leopards escape

from the zoo? Because they are always spotted.

  • Did you hear about the paper

shop? It blew away.

  • Does this restaurant serve

fish? Yes, what do you want, Mr Fish?

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SLIDE 8

Joke City

  • Pairs of children (7-9 yrs) engage with Joke City
  • Series of jokes (6 jokes x 6 levels)
  • One child reads, the other has the mouse
  • Read the joke, click on the word with two

meanings

  • Does this restaurant serve fish?
  • Yes, what do you want to eat, Mr Fish?
  • Clues and explanations provided
  • video
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SLIDE 9

Does JC help comprehension?

  • Design

12pairs 7-9 yrs 3 JC sessions

Pre-test Neale Post-test Neale

Control:12 children normal classes

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SLIDE 10

Joke City improves children’s reading comprehension: pre- to post-changes in accuracy and comprehension scores (months) after 3 sessions of JC in pairs

  • 1

1 2 3 4 5 6 7 Acc Comp trained control

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SLIDE 11

How does JC work?

  • Analyse all conversations by classifying

each statement

  • Differences between pairs that improved

and pairs that didn’t

  • Improving pairs changed over sessions:

developed the skills through interaction

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SLIDE 12

Types of talk

exp gp single

mix improve no improve hi improve

Mean

40 30 20 10 MCT1 MLGT1 CEVT1 RFST1

exp gp single

mix improve no improve hi improve

Mean

30 20 10 MCT3 MLGT3 CEVT3 RFST3

Session 1 Session 3 Metacognitive Metalinguistic Control Reading text

N utterances of each type for high, no and mixed improvers per session

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SLIDE 13

Joke City version 2

  • Prototype version, partial
  • (screen shot of front page?)
  • Structure: Joke Junior and Joke Junior

High (pic of pat’s screen?)

  • Feedback welcome!
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SLIDE 14

BAHLAS Riddles

  • Riddle understanding predicts comprehension
  • Can use riddles to assess comprehension
  • BAHLAS (Brighton and Hove Literacy Assessment Strategy)
  • List of advantages…
  • Self-admin, predicts, no reading skill, fun, easy to use,

well-tested –over 500 children

  • Need feedback on teacher information
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SLIDE 15

Riddles

  • 2 parallel sets of 25 joking riddles
  • Jokes all rest on ambiguity in meaning
  • Child chooses one of two answers, that makes the joke work
  • Different types (single word ambiguity, syntactic, pragmatic..)
  • Why do leopards never escape from the zoo?
  • - Because they’re always spotted
  • - Because they run too slowly

What happened to the paper shop?

  • - It closed down
  • - It blew away
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SLIDE 16

Bahlas

  • Predicts comprehension independent of

accuracy

  • Statistics work, but needs field testing:

volunteers welcome, support and analysis provided free

  • Also ‘complete: predicts grammatical

understanding, as in Test for Reception of Grammar (TROG) slide

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SLIDE 17

TROG (Bishop) 80 sentences Complete predicts TROG score…. “The boy is chasing the sheep.”

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SLIDE 18

‘Simple’ view of reading

  • Reading = decoding & comprehension
  • Initial focus on meaning
  • shift to focus on form
  • Coordinating form with meaning:

‘putting humpty back together’ (Tunmer & Bowey, 1984)

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SLIDE 19

Word Categorisation

  • Cartwright: Reading multiple classification task

Example

  • Predicts comprehension skill independently of …
  • Individual training to do the task improves

comprehension in n yr olds

  • Could peer discussion of the task help

comprehension?

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SLIDE 20

WordCat

  • Picture of task (single)
  • Teachers can put in own word lists

e.g. to focus on a particular spelling or sound pattern, or classification of meanings

  • Clues appear automatically for new lists

CD clip

Problem: domination by one child

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SLIDE 21

Sort these words into the boxes two ways at the same

  • time. cheek chip tongue chocolate tomato chest

tooth cheese toast toffee toe chin

RMC score = accuracy score for sorting speed of sorting

Accuracy score: 3 = sort √ explanation √ 2 = sort x explanation √ 1 = sort √ explanation x 0 = sort x explanation x

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SLIDE 22

WordCat with SCOSS

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SLIDE 23

WordCat with SCOSS

  • Diagram
  • Each child has their own representation,

so acts on it individually but

  • The two representations are linked:

agreement and disagreement are visible

  • At specific points, children need to reach

an agreement: through debate, not by hogging the mouse!

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SLIDE 24

Conclusions

  • Joke City, Bahlas and WordCat
  • Set of linked assessment and intervention tools for

literacy skills

  • easy for child to use
  • independent of decoding: text read aloud
  • automatic scoring and comparison
  • password protected
  • quick to do: can be group-administered in IT suite
  • Encourage peer discussion
  • Needs some teacher oversight
  • Need feedback!
  • See Nicola for CDs, manuals, articles to take away and

chances to take part