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Empirical investigation throughout the CS curriculum

Published: 01 March 2000 Publication History

Abstract

Empirical skills are playing an increasingly important role in the computing profession and our society. But while traditional computer science curricula are effective in teaching software design skills, little attention has been paid to developing empirical investigative skills such as forming testable hypotheses, designing experiments, critiquing their validity, collecting data, explaining results, and drawing conclusions. In this paper, we describe an initiative at Dickinson College that integrates the development of empirical skills throughout the computer science curriculum. At the introductory level, students perform experiments, analyze the results, and discuss their conclusions. In subsequent courses, they develop their skills at designing, conducting and critiquing experiments through incrementally more open-ended assignments. By their senior year, they are capable of forming hypotheses, designing and conducting experiments, and presenting conclusions based on the results.

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cover image ACM Conferences
SIGCSE '00: Proceedings of the thirty-first SIGCSE technical symposium on Computer science education
May 2000
429 pages
ISBN:1581132131
DOI:10.1145/330908
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 March 2000

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  • (2017)Problem Solving as a Predictor of Programming PerformanceICT Education10.1007/978-3-319-69670-6_14(209-216)Online publication date: 18-Nov-2017
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