Attending to structural programming features predicts differences in learning and motivation - Robotics Institute Carnegie Mellon University

Attending to structural programming features predicts differences in learning and motivation

Eben B. Witherspoon, Christian D. Schunn, Ross M. Higashi, and Robin Shoop
Journal Article, Journal of Computer Assisted Learning, Vol. 34, No. 2, pp. 115 - 128, April, 2018

Abstract

Educational robotics programs offer an engaging opportunity to potentially teach core computer science concepts and practices in K–12 classrooms. Here, we test the effects of units with different programming content within a virtual robotics context on both learning gains and motivational changes in middle school (6th–8th grade) robotics classrooms. Significant learning gains were found overall, particularly for groups introduced to content involving program flow, the structural logic of program execution. Relative gains for these groups were particularly high on items that require the transfer of knowledge to dissimilar contexts. Reaching units that included program flow content was also associated with greater maintenance of programming interest when compared with other units. Therefore, our results suggest that explicit instruction in the structural logic of programming may develop deeper transferrable programming knowledge and prevent declines in some motivational factors.

BibTeX

@article{Witherspoon-2018-126339,
author = {Eben B. Witherspoon and Christian D. Schunn and Ross M. Higashi and Robin Shoop},
title = {Attending to structural programming features predicts differences in learning and motivation},
journal = {Journal of Computer Assisted Learning},
year = {2018},
month = {April},
volume = {34},
number = {2},
pages = {115 - 128},
}