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Students' Initial Course Motivation and Their Achievement and Retention in College CS1 Courses

Published:17 February 2016Publication History

ABSTRACT

The goal of this study was to investigate how students' entering motivation for the course in a suite of CS1 introductory computer science courses was associated with their subsequent course achievement and retention. Courses were tailored for specific student populations (CS majors, engineering majors, business-CS combined honors program). Students' goal orientations (learning, performance, task), perceived instrumentality (endogenous, exogenous), career connectedness, self-efficacy, and mindsets (growth or fixed) were assessed at the start of the course. Grades were significantly predicted from entering motivation; but prediction was highly variable across courses, ranging from not predicted for the engineering courses to highly predictable for the business-CS honors program. Course withdrawal was significantly predicted. Likelihood of withdrawing was decreased by future time career connectedness and learning approach goal orientation and increased by having an incremental theory of intelligence. Findings suggest that CS1 students who set learning approach goals for their classes have better academic outcomes and higher retention. Other motivational beliefs were inconsistent in their impacts and varied by course and student population. Except for students in an honors program, entering motivational beliefs weakly predicted achievement and retention, suggesting that impacts of the course itself on motivation and how motivation changes during the course are perhaps more important than student's initial motivation.

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  1. Students' Initial Course Motivation and Their Achievement and Retention in College CS1 Courses

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      • Published in

        cover image ACM Conferences
        SIGCSE '16: Proceedings of the 47th ACM Technical Symposium on Computing Science Education
        February 2016
        768 pages
        ISBN:9781450336857
        DOI:10.1145/2839509

        Copyright © 2016 ACM

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        Publication History

        • Published: 17 February 2016

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        SIGCSE '16 Paper Acceptance Rate105of297submissions,35%Overall Acceptance Rate1,595of4,542submissions,35%

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