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abstract

POGIL in Computer Science for Beginners and Experts (Abstract Only)

Published: 17 February 2016 Publication History

Abstract

Process-Oriented Guided Inquiry Learning (POGIL) is a research-based instructional strategy with a proven history across STEM disciplines. In a POGIL classroom, teams of students work on activities that are specifically designed to guide them to construct their own understanding of key concepts. At the same time, students develop process skills such as communication, teamwork, problem solving, and critical thinking. POGIL incorporates practices shown to be particularly helpful for students from underrepresented populations. In a POGIL classroom, teachers are facilitators, not lecturers. Multiple studies have shown that students in POGIL classes do better on common exams and in subsequent courses. For more information, see http://cspogil.org and http://pogil.org. This BOF will (1) enable people unfamiliar with POGIL to ask questions and learn more, and (2) bring together experienced POGIL practitioners to share experiences, concerns, ideas, and insights. As in a POGIL classroom, we will discuss topics in small teams and report out to the larger group.

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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
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 February 2016

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Author Tags

  1. active learning
  2. cooperative learning
  3. inquiry learning
  4. teams

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SIGCSE '16
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Acceptance Rates

SIGCSE '16 Paper Acceptance Rate 105 of 297 submissions, 35%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

Upcoming Conference

SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

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