Mission to Mars: a computer science curriculum for middle school STEM camps

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dc.contributor.author Feldhausen, Russell A.
dc.date.accessioned 2018-04-20T18:40:00Z
dc.date.available 2018-04-20T18:40:00Z
dc.date.issued 2018-05-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/38864
dc.description.abstract This thesis presents a curriculum designed for 5th and 6th grade students attending a summer camp for science, technology, engineering, and mathematics (STEM) disciplines. The curriculum uses several concepts from educational theory and computer science education research. It also uses techniques such as cognitive apprenticeship, expansive framing, and scaffolded lessons to increase student learning outcomes. It was taught during two cohorts of a STEM summer camp. The curriculum is analyzed through self-efficacy surveys both before and after the class, measuring how students judged their own capability to use skills learned during the class. Analysis of the data shows that the increase in student self-efficacy has a medium to large effect size overall, as well as student self-efficacy with many computational thinking skills. Data from various population groups based on gender, previous STEM experience, and socio-economic status indicators is also analyzed. Finally, many areas of future work and improvement are presented and discussed. The outcome of this work is to demonstrate the effectiveness of the curriculum presented in increasing student self-efficacy with computational thinking skills, specifically by showing the links between content in the curriculum and specific computational thinking skills. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Computer science curriculum en_US
dc.subject STEM camp en_US
dc.subject Self efficacy en_US
dc.subject Computational thinking en_US
dc.subject Cognitive apprenticeship en_US
dc.title Mission to Mars: a computer science curriculum for middle school STEM camps en_US
dc.type Thesis en_US
dc.description.degree Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Computer Science en_US
dc.description.advisor Daniel Andresen en_US
dc.date.published 2018 en_US
dc.date.graduationmonth May en_US


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