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A CS1 pedagogical approach to parall...

Rague, Brian William.

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A CS1 pedagogical approach to parallel thinking.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A CS1 pedagogical approach to parallel thinking./
Author:	Rague, Brian William.
Description:	234 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4929.
Contained By:	Dissertation Abstracts International71-08B.
Subject:	Education, Pedagogy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3409238
ISBN:	9781124065953

A CS1 pedagogical approach to parallel thinking.
Rague, Brian William.

A CS1 pedagogical approach to parallel thinking. - 234 p.

Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4929.

Thesis (Ph.D.)--The University of Utah, 2010.

Almost all collegiate programs in Computer Science offer an introductory course in programming primarily devoted to communicating the foundational principles of software design and development. The ACM designates this introduction to computer programming course for first-year students as CS1, during which methodologies for solving problems within a discrete computational context are presented. Logical thinking is highlighted, guided primarily by a sequential approach to algorithm development and made manifest by typically using the latest, commercially successful programming language.

ISBN: 9781124065953Subjects--Topical Terms:

1669025
Education, Pedagogy.

A CS1 pedagogical approach to parallel thinking.
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020 $a 9781124065953
035 $a (UMI)AAI3409238
035 $a AAI3409238
040 $a UMI $c UMI
100 1 $a Rague, Brian William. $3 1672221
245 1 2 $a A CS1 pedagogical approach to parallel thinking.
300 $a 234 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-08, Section: B, page: 4929.
500 $a Adviser: Joseph Zachary.
502 $a Thesis (Ph.D.)--The University of Utah, 2010.
520 $a Almost all collegiate programs in Computer Science offer an introductory course in programming primarily devoted to communicating the foundational principles of software design and development. The ACM designates this introduction to computer programming course for first-year students as CS1, during which methodologies for solving problems within a discrete computational context are presented. Logical thinking is highlighted, guided primarily by a sequential approach to algorithm development and made manifest by typically using the latest, commercially successful programming language.
520 $a In response to the most recent developments in accessible multicore computers, instructors of these introductory classes may wish to include training on how to design workable parallel code. Novel issues arise when programming concurrent applications which can make teaching these concepts to beginning programmers a seemingly formidable task. Student comprehension of design strategies related to parallel systems should be monitored to ensure an effective classroom experience.
520 $a This research investigated the feasibility of integrating parallel computing concepts into the first-year CS classroom. To quantitatively assess student comprehension of parallel computing, an experimental educational study using a two-factor mixed group design was conducted to evaluate two instructional interventions in addition to a control group: (1) topic lecture only, and (2) topic lecture with laboratory work using a software visualization Parallel Analysis Tool (PAT) specifically designed for this project. A new evaluation instrument developed for this study, the Perceptions of Parallelism Survey (PoPS), was used to measure student learning regarding parallel systems.
520 $a The results from this educational study show a statistically significant main effect among the repeated measures, implying that student comprehension levels of parallel concepts as measured by the PoPS improve immediately after the delivery of any initial three-week CS1 level module when compared with student comprehension levels just prior to starting the course. Survey results measured during the ninth week of the course reveal that performance levels remained high compared to pre-course performance scores. A second result produced by this study reveals no statistically significant interaction effect between the intervention method and student performance as measured by the evaluation instrument over three separate testing periods. However, visual inspection of survey score trends and the low p-value generated by the interaction analysis (0.062) indicate that further studies may verify improved concept retention levels for the lecture w/PAT group.
590 $a School code: 0240.
650 4 $a Education, Pedagogy. $3 1669025
650 4 $a Education, Sciences. $3 1017897
650 4 $a Computer Science. $3 626642
690 $a 0456
690 $a 0714
690 $a 0984
710 2 $a The University of Utah. $b School of Computing. $3 1672222
773 0 $t Dissertation Abstracts International $g 71-08B.
790 1 0 $a Zachary, Joseph, $e advisor
790 1 0 $a Kessler, Robert $e committee member
790 1 0 $a Flatt, Matthew $e committee member
790 1 0 $a Drew, Clifford $e committee member
790 1 0 $a Armstrong, John $e committee member
790 $a 0240
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3409238