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Computer-assisted learning in the real world: How Khan Academy influences student math learning.

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Computer-assisted learning (CAL) can improve math scores, even with minimal use. Encouraging focused practice, especially for struggling students, can reduce achievement gaps and boost overall learning gains.

Keywords:
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Area of Science:

  • Educational Technology
  • Learning Sciences
  • Applied Mathematics

Background:

  • Computer-assisted learning (CAL) is a cost-effective method for implementing mastery learning.
  • Previous research on CAL's effectiveness often uses experimental conditions difficult to replicate in real classrooms.

Purpose of the Study:

  • To evaluate the real-world impact of CAL on student math performance.
  • To provide policy-relevant estimates of CAL's effectiveness at various usage levels.

Main Methods:

  • Utilized a three-year panel of administrative data from over 200,000 students.
  • Employed within-teacher and within-school variations in classroom CAL practice time to identify causal effects.

Main Results:

  • A gain of 0.031 standard deviation (SD) in math test scores was observed with 6.6 hours of annual Khan Academy practice.
  • Projected gains reached 0.085 SD at the recommended 30 minutes per week, showing approximately linear increases.
  • Higher-achieving students benefited more, spending more time on CAL and mastering more skills.

Conclusions:

  • CAL demonstrates measurable positive effects on math performance in typical classroom settings.
  • Encouraging productive CAL use, focused on skill mastery, can help reduce achievement gaps and enhance overall student gains, particularly for struggling learners.