Digital culture creative classrooms (DC3): Teaching 21st century proficiencies in high schools by engaging students in creative digital projects

David Tinapple, John Sadauskas, Loren Olson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Children and young adults are immersed in digital culture, but most are not familiar with the computational thinking behind the latest tools and technologies. There are few opportunities in secondary school curricula for students to learn such practices, but we believe that skills such as computational thinking, creative coding, collaboration, innovation, and information literacy can be taught in a highly effective manner by using aesthetic challenges as a motivation. In other words, by engaging students in creative digital arts projects they are naturally driven to acquire the many new skills to effectively use and understand the computational tools and techniques involved in creating digital and interactive projects. In this paper, we outline a project-based digital arts curriculum through which novice middle/high school students are intrinsically motivated to learn and apply science, technology, engineering and mathematics (STEM) skills and computational thinking.

Original languageEnglish (US)
Title of host publicationProceedings of IDC 2013 - The 12th International Conference on Interaction Design and Children
Pages380-383
Number of pages4
DOIs
StatePublished - Jul 29 2013
Event12th International Conference on Interaction Design and Children, IDC 2013 - New York, NY, United States
Duration: Jun 24 2013Jun 27 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other12th International Conference on Interaction Design and Children, IDC 2013
CountryUnited States
CityNew York, NY
Period6/24/136/27/13

Keywords

  • Computer science
  • Digital art
  • Education
  • K-12
  • Motivation
  • Programming
  • STEM

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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