Published December 4, 2025 | Version v1
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Replication Package for "Computer-Assisted Learning in the Real World: How Khan Academy Influences Student Math Learning"

  • 1. ROR icon University of Toronto
  • 2. ROR icon Khan Academy
  • 1. ROR icon University of Toronto
  • 2. EDMO icon Stanford University
  • 3. ROR icon Khan Academy

Description

This repository contains the code used to generate all empirical output for the paper Computer-Assisted Learning in the Real World: How Khan Academy Influences Student Math Learning. The code is stored in two files, both available here:

  • replication_code_manuscript.R produces all tables and figures in the main manuscript
  • replication_code_appendix.R produces all tables and figures in the online appendix

Note: we use novel data from Khan Academy on students in districts that license the MAP Accelerator tool. The data is proprietary to NWEA (now acquired by Houghton Mifflin Harcourt) and Khan Academy. While the data will not be publicly released, interested parties may contact Bogdan Yamkovenko at bogdan@khanacademy.org to inquire about access.

Questions about the code, implementation details, or replication procedures can be directed to Taryn Eames at taryn.eames@mail.utoronto.ca.

Files

Files (396.9 kB)

Name Size Download all
md5:7cea138309a13d1d23ee9807cf7486d7
360.5 kB Download
md5:75a5416ff75579eaddb9109af846934a
36.4 kB Download

Additional details

Software

Programming language
R