Literature review of the reciprocal value of artificial and human intelligence in early childhood education

Dados Bibliográficos

ID21744153
AutoresLucrezia Crescenzi-Lanna (0000-0003-2825-0477, Universitat de Vic - Universitat Central de Catalunya, autor correspondente)
Ano2023
Volume55
Fascículo1
Páginas21-33
Data de publicação2023-01-03
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoJournal of Research on Technology in Education (JOURNAL)
Identificadores do periódicoISSN: 1539-1523 • E-ISSN: 1945-0818
EditoraInforma UK Limited (PUBLISHER • GB)
DOI10.1080/15391523.2022.2128480
OpenAlexW4303453872
IdiomaEN
Citações recebidas5
Referências citadas52

This paper presents a systematic literature review of artificial intelligence (AI)-supported teaching and learning in early childhood. The focus is on human–machine cooperation in education. International evidence and associated problems with the reciprocal contributions of humans and machines are presented and discussed, as well as future horizons regarding AI research in early education. Also, the ethical implications of applying machine learning, deep learning and learning analytics in early childhood education are considered. The method adopted has five steps: identification of the research, evaluation and selection of the literature, data extraction, synthesis, and results. The results shown that AI applications still present limitations in terms of the challenges encountered in early childhood education and data privacy and protection policies

Analytics · Data science · Early childhood education · Machine learning · Pedagogy · Reciprocal · Advanced Malware Detection Techniques · Computational Physics and Python Applications · Computer Science · Context-Aware Activity Recognition Systems · Psychology · Artificial Intelligence