Using Interactive Visualization for Guiding Non-IT Students to Understand the Concepts of Artificial Intelligence

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

Abstract

The paper discusses the use of interactive visualization tools to teach artificial intelligence concepts to non-IT students, who may find the subject abstract or complex. Specifically, an open interactive visualization tool is introduced in a learning activity of model exploration, which includes simulators of common machine learning algorithms of classification. Guided questions are provided to help scaffold students' learning and facilitate effective and efficient learning strategies. The paper suggests that interactive visualization tools and guided questions can promote active exploration and scaffold students' learning of information concepts. The aim is to help non-IT students understand the concepts of artificial intelligence and adapt to the future workplace early, so that they can apply artificial intelligence to solve problems in the future.

Original languageEnglish
Title of host publicationProceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages695-696
Number of pages2
ISBN (Electronic)9798350324228
DOIs
Publication statusPublished - 2023
Event14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023 - Koriyama, Japan
Duration: Jul 8 2023Jul 13 2023

Publication series

NameProceedings - 2023 14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023

Conference

Conference14th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2023
Country/TerritoryJapan
CityKoriyama
Period7/8/237/13/23

Keywords

  • artificial intelligence
  • concept understanding
  • guided exploration
  • interactive visualization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management

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