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Book Chapter: Machine learning

TitleMachine learning
Authors
KeywordsAlgorithms
Artificial intelligence
Classification
Data
Feature engineering
Forecasting
Machine learning
Neural network
Prediction
Issue Date18-Nov-2022
Abstract

Over the past several decades, machine learning has been used in many areas—including education. In this article, we generally describe artificial intelligence (AI) and machine learning (ML) and discuss how they relate to one another using everyday examples. Next, we zoom in on ML in terms of its definition, some well-known approaches, its historical roots, and uses in education. We then illustrate how ML can aid instructors and students relative to teaching and learning and present some ideas regarding the future of ML in education. We conclude with some important concerns related to ML applications in education moving forward.


Persistent Identifierhttp://hdl.handle.net/10722/342062

 

DC FieldValueLanguage
dc.contributor.authorShute, Valerie J-
dc.contributor.authorFulwider, G Curt-
dc.contributor.authorLiu, Zhichun-
dc.contributor.authorRahimi, Seyedahmad-
dc.date.accessioned2024-03-26T05:39:27Z-
dc.date.available2024-03-26T05:39:27Z-
dc.date.issued2022-11-18-
dc.identifier.urihttp://hdl.handle.net/10722/342062-
dc.description.abstract<p>Over the past several decades, machine learning has been used in many areas—including education. In this article, we generally describe artificial intelligence (AI) and machine learning (ML) and discuss how they relate to one another using everyday examples. Next, we zoom in on ML in terms of its definition, some well-known approaches, its historical roots, and uses in education. We then illustrate how ML can aid instructors and students relative to teaching and learning and present some ideas regarding the future of ML in education. We conclude with some important concerns related to ML applications in education moving forward.</p>-
dc.languageeng-
dc.relation.ispartofInternational Encyclopedia of Education-
dc.subjectAlgorithms-
dc.subjectArtificial intelligence-
dc.subjectClassification-
dc.subjectData-
dc.subjectFeature engineering-
dc.subjectForecasting-
dc.subjectMachine learning-
dc.subjectNeural network-
dc.subjectPrediction-
dc.titleMachine learning-
dc.typeBook_Chapter-
dc.identifier.doi10.1016/B978-0-12-818630-5.14013-8-
dc.identifier.scopuseid_2-s2.0-85150546144-
dc.identifier.spage83-
dc.identifier.epage91-

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