abstract: Computational thinking, the creative thought process behind algorithmic design and programming, is a crucial introductory skill for both computer scientists and the population in general. In this thesis I perform an investigation into introductory computer science education in the United States and find that computational thinking is not effectively taught at either the high school or the college level. To remedy this, I present a new educational system intended to teach computational thinking called Genost. Genost consists of a software tool and a curriculum based on teaching computational thinking through fundamental programming structures and algorithm design. Genost's software design is informed by a review of eight major computer science educational software systems. Genost's curriculum is informed by a review of major literature on computational thinking. In two educational tests of Genost utilizing both college and high school students, Genost was shown to significantly increase computational thinking ability with a large effect size. / Dissertation/Thesis / Masters Thesis Computer Science 2015
| Identifer | oai:union.ndltd.org:asu.edu/item:29648 |
| Date | January 2015 |
| Contributors | Walliman, Garret Greg (Author), Atkinson, Robert (Advisor), Chen, Yinong (Advisor), Lee, Yann-Hang (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Masters Thesis |
| Format | 373 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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