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App Lab: A Powerful JavaScript IDE for Rapid Prototyping of Small Data-backed Web Applications (Abstract Only)

Published: 08 March 2017 Publication History

Abstract

App Lab (https://code.org/applab) is Code.org's rapid-prototyping environment for creating HTML, CSS, and JavaScript-powered web applications. It was created as part of a rich set of instructional resources designed for teachers of the new AP Computer Science Principles (CSP) course. Yet, App Lab far exceeds the needs of CSP, and would be an appropriate learning environment for students in any CS0/CS1 class, even at the university level. App Lab gives novice programmers access to capabilities previously reserved for courses that require sophisticated tech setup and knowledge of both front and backend web development, server-side scripting, databases, etc. This demonstration aims to give a brief overview of App Lab and its purpose and then move quickly into demonstrating the more advanced features of App Lab that few people know are even there! The audience should come away with knowledge and access to exemplars that highlight App lab's possibilities, and see some of its richer features in action. Finally we will end with a discussion about how best to integrate App Lab into existing courses.
App Lab was developed as part of collaboration between Code.org and David Bau (Google), creator of PencilCode.net.

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cover image ACM Conferences
SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
March 2017
838 pages
ISBN:9781450346986
DOI:10.1145/3017680
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: 08 March 2017

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Author Tags

  1. IDE
  2. Javascript
  3. K12
  4. app lab
  5. database
  6. education
  7. web applications

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  • Demonstration

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SIGCSE '17
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Acceptance Rates

SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;
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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