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Eric N. Wiebe

Researcher at North Carolina State University

Publications -  233
Citations -  5921

Eric N. Wiebe is an academic researcher from North Carolina State University. The author has contributed to research in topics: Learning environment & Educational technology. The author has an hindex of 33, co-authored 221 publications receiving 5033 citations.

Papers
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Journal ArticleDOI

The viability of crowdsourcing for survey research.

TL;DR: It is concluded that the use of these labor portals is an efficient and appropriate alternative to a university participant pool, despite small differences in personality and socially desirable responding across the samples.
Proceedings ArticleDOI

Improving the CS1 experience with pair programming

TL;DR: An experiment was run to assess the efficacy of pair programming in an introductory Computer Science course; results indicate that pair programming creates a laboratory environment conducive to more advanced, active learning than traditional labs; students and lab instructors report labs to be more productive and less frustrating.
Journal ArticleDOI

Cloud computing adoption and usage in community colleges

TL;DR: Findings demonstrated that background characteristics such as the student's ability to travel to campus had influenced the usefulness perceptions, while ease of use was largely determined by first-hand experiences with the platform, and instructor support.
Journal ArticleDOI

In Support of Pair Programming in the Introductory Computer Science Course

TL;DR: A formal pair programming experiment was run at North Carolina to empirically assess the educational efficacy of the technique in a CS1 course and indicates that students who practice pair programming perform better on programming projects and are more likely to succeed by completing the class with a C or better.
Journal ArticleDOI

Measuring engagement in video game-based environments

TL;DR: In the context of video game-play, a revised UES (UESz) demonstrated better psychometric properties than the original UES defined by six subscales, including enhanced reliability.