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Title: Getting it to Work: Exploring Student-Driven Problem Solving in Computational Making
This paper presents findings from a year-long after-school program that engages youth from local communities in computational making and community problem solving. Our goal is to understand how self-directed computational making activities contribute to shifts in students’ self-efficacy and perception of themselves as people who can pursue careers in STEM. During the first, skill-building semester, our preliminary findings suggest that when youth have the opportunity to work through self-directed projects, they engage in a variety of strategies to set goals and work through challenges. We believe that this work contributes to a growing field-wide understanding of novice designers’ problem scoping practices and their nuanced perceptions of challenge.  more » « less
Award ID(s):
1759261
PAR ID:
10341864
Author(s) / Creator(s):
; ; ; ; ;
Editor(s):
Paulo Blikstein; Nathan Holbert; Leah Buechley
Date Published:
Journal Name:
abLearn '20: Proceedings of the FabLearn 2020 - 9th Annual Conference on Maker Education
Page Range / eLocation ID:
110 to 113
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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