Artificially intelligent systems in education a tool for the future

Richard L. Lamb; Andy Cavagnetto; Olusola O. Adesope; Lijun Yin; Brian French; Mathew Taylor

Artificially intelligent systems in education a tool for the future

Richard L. Lamb
, Andy Cavagnetto
, Olusola O. Adesope
, Lijun Yin
, Brian French
, Mathew Taylor

Medicine

Washington State University Pullman
State University of New York Binghamton University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Abstract

The purpose of this chapter is to explain and provide a conceptual understanding of the application and design of intelligent tutoring systems in education. The authors will examine potential applications of intelligent systems in the classroom. The first example illustrates a means to educate students within science-education teacher-preparation programs. The second means is as a computational simulation and model of student learning and the third is as a means to assess student learning in science education. The theoretical questions addressed in this paper are what are the technological obstacles and modes of use for an artificially intelligent system as a tool for educational use.

Original language	English
Title of host publication	Educational and Learning Games
Subtitle of host publication	New Research
Publisher	Nova Science Publishers, Inc.
Pages	79-103
Number of pages	25
ISBN (Electronic)	9781634834636
ISBN (Print)	9781634834216
State	Published - Jul 1 2015

Keywords

Intelligent systems
Science education
Simulations
Student learning

Cite this

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AB - The purpose of this chapter is to explain and provide a conceptual understanding of the application and design of intelligent tutoring systems in education. The authors will examine potential applications of intelligent systems in the classroom. The first example illustrates a means to educate students within science-education teacher-preparation programs. The second means is as a computational simulation and model of student learning and the third is as a means to assess student learning in science education. The theoretical questions addressed in this paper are what are the technological obstacles and modes of use for an artificially intelligent system as a tool for educational use.

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Artificially intelligent systems in education a tool for the future

Abstract

Keywords

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