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Mixed content vs. individual content study

Mixed content vs. individual content study. Manasi Vartak , Cristina Heffernan, Neil Heffernan. Objective. Do students learn better when related concepts are taught: Separately (Not Mixed) Simultaneously (Mixed)

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Mixed content vs. individual content study

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  1. Mixed content vs. individual content study ManasiVartak, Cristina Heffernan, Neil Heffernan

  2. Objective • Do students learn better when related concepts are taught: • Separately (Not Mixed) • Simultaneously (Mixed) • Example: Should mean, median, mode, range be taught separately or simultaneously? • Can deeply affect future teaching patterns

  3. Study • Topic: Data Analysis – Mean, Median, Mode, Range (MMMR) • Important topic; useful through school and college • Students often confused about differences in MMMR • Find best way to teach MMMR • Half of the class is taught concepts separately, other half is taught concepts simultaneously

  4. Study • Single problem set • Pre-test • Study problems • Mixed: Single Mastery Learning set with mean, median, mode and range problems in random order • Not Mixed: 4 separate Mastery Learning sets, one each for mean, median, mode and range respectively • Post-test

  5. Sample Assistments Mean Problems

  6. Sample Assistments Median problems

  7. Sample Assistments Mode problems

  8. Sample Assistments Range problems

  9. Things you should know • Comprehensive set of problems on MMMR • Single problem set • Students in neither problem set are at a disadvantage; they learn the same concepts • May take longer than traditional problem sets; can be completed over several days • Insight into best way to teach related concepts

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