Publication | Closed Access
Attending to structural programming features predicts differences in learning and motivation
37
Citations
39
References
2018
Year
Educational PsychologyEducationLearning-by-doingInstructional ModelsProgramming Language TeachingStructural LogicElementary EducationPsychologySocial SciencesStem EducationStudent MotivationProgram Flow ContentStructural Programming FeaturesCognitive ScienceLearning SciencesDesignMotivationEducational RoboticsLearning AnalyticsProgram FlowExperimental PsychologyInstructionMiddle School CurriculumLearning TheoryRoboticsAchievement MotivationSelf-regulated Learning
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.
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