An Interdisciplinary Approach for Teaching Artificial Intelligence to Computer Science Students

Anoop Mishra, Harvey Siy

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

Abstract

Artificial intelligence (AI) is a demanding and important course for computer science education in the universities and open online courses (MOOCs). It includes various introductory and specialized courses for artificial intelligence like knowledge representation, machine learning, reasoning under uncertainty, natural language processing, robotics, and perception of computer vision, etc. We observed that mostly AI courses focus on the Computer Science (CS)-centric approach and lacks core explanation from their roots including philosophy, neuroscience, psychology, cognitive science, linguistics, economics, social science, etc. In this paper, we propose to engage the interdisciplinary approach along with CS-centric approach for teaching AI that includes the disciplines that have been established to tackle the age-old problem of understanding the science of thinking.

Original languageEnglish (US)
Title of host publicationSIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education
PublisherAssociation for Computing Machinery, Inc
Pages344
Number of pages1
ISBN (Electronic)9781450370455
DOIs
StatePublished - Oct 7 2020
Event21st Annual Conference of the Special Interest Group in Information Technology Education, SIGITE 2020 - Virtual, Online, United States
Duration: Oct 7 2020Oct 9 2020

Publication series

NameSIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education

Conference

Conference21st Annual Conference of the Special Interest Group in Information Technology Education, SIGITE 2020
Country/TerritoryUnited States
CityVirtual, Online
Period10/7/2010/9/20

Keywords

  • artificial intelligence
  • education
  • interdisciplinary teaching

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Computer Science Applications
  • Software

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