Replicability and Generalizability of Instructional Technology Studies
With the maturity of Computerized Tutoring Systems and Educational
Data Mining tools, there is a great opportunity to refine our
understanding of recent findings by examining how these findings can
generalize from the target learning topic to a novel learning topic,
the extent that the findings can be reproduced by other researchers on
an "equivalent", but distinct population, and how the findings
generalize to a larger corpus of learning or to a larger, broader or
different population/demographic. This tutorial will discuss aspects
of experimental design, methods of data acquisition, and guidelines for
describing our research to improve our ability to discover how
repeatable and generalizable our results can be.
Files for tutorial:
WRGITS files (5.8 MB)
EDM 2014 Full Papers (30.4
MB)
Worksheet for evaluating replicability and generalizability of an
existing paper:
Replicability Worksheet (53
KB)
Please contact me at dcooper@ursinus.edu for a link
to the slides.
Last modified: Wed Jul 30 11:38:39 EDT 2014