Open AccessCOGNITIVE TRANSFER OUTCOMES FOR A SIMULATION-BASED INTRODUCTORY STATISTICS CURRICULUM
Author(s) -
Matthew D. Beckman,
Robert C. delMas,
Joan Garfield
Publication year - 2017
Publication title -
statistics education research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.538
H-Index - 14
ISSN - 1570-1824
DOI - 10.52041/serj.v16i2.199
Subject(s) - mathematics education , curriculum , statistical inference , cognition , transfer of learning , psychology , transfer of training , test (biology) , inference , computer science , statistics , pedagogy , artificial intelligence , mathematics , cognitive psychology , developmental psychology , paleontology , neuroscience , biology
Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A common assessment instrument administered at the end of each course measured learning outcomes for students. CATALST students showed evidence of both near and far transfer outcomes while scoring as high, or higher than, on the assessed learning objectives when compared with peers enrolled in similar courses that emphasized parametric inferential methods (e.g., the t-test).
First published November 2017 at Statistics Education Research Journal Archives