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Using AppVis to Build Data-rich Apps with MIT App Inventor (Abstract Only)

Published: 08 March 2017 Publication History

Abstract

MIT App Inventor is widely used to introduce students to programming and building mobile apps. In this workshop, we will introduce AppVis, an extension to App Inventor that allows users to create apps that publish data to iSENSE (isenseproject.org), a web-based system for collaborating with data and visualizations. Using AppVis, apps can also retrieve data from iSENSE and display visualizations in the app. This workshop will provide a hands-on introduction to App Inventor, AppVis, and iSENSE. You will build our demo apps, including jump counter, survey, and map-marking. We will have conversations about how to introduce AppVis to your non-majors courses, intro-CS courses, and interdisciplinary teaching. Prior experience with App Inventor is helpful, but not necessary.

Cited By

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  • (2024)Analysis of Critical Thinking Skills Improvement Through App Inventor-based Learning Media on Sound Wave TopicKnE Social Sciences10.18502/kss.v9i8.15632Online publication date: 3-Apr-2024
  • (2019)MIT App Inventor: Objectives, Design, and DevelopmentComputational Thinking Education10.1007/978-981-13-6528-7_3(31-49)Online publication date: 3-May-2019

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Published In

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. app inventor
  2. computational thinking
  3. data fluency
  4. data literacy
  5. data visualization
  6. mobile apps
  7. non-majors

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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 1,787 of 5,146 submissions, 35%

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Cited By

View all
  • (2024)Analysis of Critical Thinking Skills Improvement Through App Inventor-based Learning Media on Sound Wave TopicKnE Social Sciences10.18502/kss.v9i8.15632Online publication date: 3-Apr-2024
  • (2019)MIT App Inventor: Objectives, Design, and DevelopmentComputational Thinking Education10.1007/978-981-13-6528-7_3(31-49)Online publication date: 3-May-2019

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