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Dennis Bouvier

Researcher at Southern Illinois University Edwardsville

Publications -  35
Citations -  843

Dennis Bouvier is an academic researcher from Southern Illinois University Edwardsville. The author has contributed to research in topics: Peer instruction & Computer science. The author has an hindex of 14, co-authored 33 publications receiving 695 citations. Previous affiliations of Dennis Bouvier include Saint Louis University & University of Illinois at Urbana–Champaign.

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Journal ArticleDOI

Naturally occurring data as research instrument: analyzing examination responses to study the novice programmer

TL;DR: This ITiCSE working group report presents the most recent step in the BRACElet project, which includes replication of earlier analysis using a far broader pool of naturally occurring data, refinement of the SOLO taxonomy in code-explaining questions, extension of the taxonomy to code-writing questions, and exploration of a further theoretical basis for work that until now has been primarily empirical.
Proceedings ArticleDOI

A fresh look at novice programmers' performance and their teachers' expectations

TL;DR: A study to review and revisit the influential ITiCSE 2001 McCracken working group that reported on novice programmers' ability to solve a specified programming problem found a significant correlation between students' performance in the practical task and the survey, and a significant effect on performance inThe practical task attributable to the use of the test harness.
Journal ArticleDOI

Students designing software : A multi-national, multi-institutional study

TL;DR: The results indicate that with increases in education, students use fewer textual design notations and more graphical and standardizedNotations and that they become more aware of ambiguous problem specifications, yet increased educational attainment has little effect on students' valuation of key design characteris- tics.
Proceedings ArticleDOI

A Multi-institutional Study of Peer Instruction in Introductory Computing

TL;DR: Through common measurements of student perceptions, this work provides evidence that introductory computing instructors can successfully implement PI in their classrooms and finds encouraging minimum and average levels of success as measured through student valuation of PI for their learning.