Theories of Knowledge, Education, and Artificial Intelligence

Michael Gayle

Theories of Knowledge, Education, and Artificial Intelligence

Michael Gayle

Research output: Contribution to conference › Presentation › peer-review

Abstract

Theories of knowledge and education are deeply intertwined, if not inextricably bound together. In the present time, theories of knowledge and education that are predicated on human cognition are complicated by the advent of artificial intelligence (AI). Complications are evidenced through questions such as: What counts as knowledge? How is knowledge created? Can machines create knowledge? How should teachers and students approach AI? This presentation provides an overview of literature related to theories of knowledge, education, and artificial intelligence and discusses practical implications for educators in K-12 and higher education.

Original language	American English
State	Published - Mar 27 2025
Event	Andrews University Teaching and Learning Conference - Andrews University, Berrien Springs, United States Duration: Mar 27 2025 → Mar 27 2025 https://digitalcommons.andrews.edu/featured.html

Conference

Conference	Andrews University Teaching and Learning Conference
Country/Territory	United States
City	Berrien Springs
Period	3/27/25 → 3/27/25
Internet address	https://digitalcommons.andrews.edu/featured.html

Access to Document

https://digitalcommons.andrews.edu/autlc/2025/breakouts/11/

Cite this

@conference{39e3877d40b149f29bcf7d960eda5c13,

title = "Theories of Knowledge, Education, and Artificial Intelligence",

abstract = "Theories of knowledge and education are deeply intertwined, if not inextricably bound together. In the present time, theories of knowledge and education that are predicated on human cognition are complicated by the advent of artificial intelligence (AI). Complications are evidenced through questions such as: What counts as knowledge? How is knowledge created? Can machines create knowledge? How should teachers and students approach AI? This presentation provides an overview of literature related to theories of knowledge, education, and artificial intelligence and discusses practical implications for educators in K-12 and higher education.",

author = "Michael Gayle",

year = "2025",

month = mar,

day = "27",

language = "American English",

note = "Andrews University Teaching and Learning Conference ; Conference date: 27-03-2025 Through 27-03-2025",

url = "https://digitalcommons.andrews.edu/featured.html",

}

TY - CONF

T1 - Theories of Knowledge, Education, and Artificial Intelligence

AU - Gayle, Michael

PY - 2025/3/27

Y1 - 2025/3/27

N2 - Theories of knowledge and education are deeply intertwined, if not inextricably bound together. In the present time, theories of knowledge and education that are predicated on human cognition are complicated by the advent of artificial intelligence (AI). Complications are evidenced through questions such as: What counts as knowledge? How is knowledge created? Can machines create knowledge? How should teachers and students approach AI? This presentation provides an overview of literature related to theories of knowledge, education, and artificial intelligence and discusses practical implications for educators in K-12 and higher education.

AB - Theories of knowledge and education are deeply intertwined, if not inextricably bound together. In the present time, theories of knowledge and education that are predicated on human cognition are complicated by the advent of artificial intelligence (AI). Complications are evidenced through questions such as: What counts as knowledge? How is knowledge created? Can machines create knowledge? How should teachers and students approach AI? This presentation provides an overview of literature related to theories of knowledge, education, and artificial intelligence and discusses practical implications for educators in K-12 and higher education.

M3 - Presentation

T2 - Andrews University Teaching and Learning Conference

Y2 - 27 March 2025 through 27 March 2025

ER -