Artificial intelligence, advanced technology, and learning and teaching algebra

Patrick W. Thompson

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

This chapter examines past research on the development of intelligent tutoring systems and explains samples of a “new breed” of software. It focuses on intelligent tutoring systems attempts to set a tone: Though artificial intelligence (AI) has much to offer, researchers should view its research as applied to education with as much skepticism as they would any other educational research enterprise. The chapter reviews several projects that illustrate the power of AI concepts and methodology for developing systems that present algebraic content in substantially new ways. Most research connecting AI with mathematics education has been to develop intelligent tutoring systems, which are programs that are intended to mimic the behavior of a competent tutor. The chapter explains aspects of several projects, all currently ongoing that illustrate the idea of “direct engagement” between students and computerized, algebraic environments. It describes the nature of the software is probably unfamiliar to a large segment of the mathematics education community.

Original languageEnglish (US)
Title of host publicationResearch Issues in the Learning and Teaching of Algebra
Subtitle of host publicationthe Research Agenda for Mathematics Education, Volume 4
PublisherTaylor and Francis
Pages135-161
Number of pages27
ISBN (Electronic)9781135434144
DOIs
StatePublished - Jan 1 2018

ASJC Scopus subject areas

  • General Social Sciences

Fingerprint

Dive into the research topics of 'Artificial intelligence, advanced technology, and learning and teaching algebra'. Together they form a unique fingerprint.

Cite this