Teaching socially intelligent computing principles in introductory computer science courses

  • Authors:
  • Alan Shaw

  • Affiliations:
  • Kennesaw State University, Kennesaw, GA

  • Venue:
  • Proceedings of the 50th Annual Southeast Regional Conference
  • Year:
  • 2012

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Abstract

The concept of artificial intelligence has long captured the imagination of popular culture, perhaps even inspiring some to pursue formal study in computer science. There is a growing interest in an offshoot of the basic idea of machine intelligence called "socially intelligent computing," which is not focused on independent machine intelligence, but on how systems that involve machines and people through different forms of interactions create new types of intelligent systems. Today's entering college freshman are often already experienced with collaborative technologies and social computing systems, so it makes sense to consider introducing topics on socially intelligent computing in introductory computer science courses. This is because there is a clear connection between social computing and socially intelligent computing, and these topics might also provide some students with a new incentive to consider pursuing formal study in computer science. In this paper, a framework is presented for teaching socially intelligent computing principles at the level of an introductory Computer Science course.