Artificial Intelligence Applications in Latin American Higher Education: A Systematic Review

Autor/inn/en	Salas-Pilco, Sdenka Zobeida; Yang, Yuqin
Titel	Artificial Intelligence Applications in Latin American Higher Education: A Systematic Review
Quelle	In: International Journal of Educational Technology in Higher Education, 19 (2022), Artikel 21 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Salas-Pilco, Sdenka Zobeida)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2365-9440
DOI	10.1186/s41239-022-00326-w
Schlagwörter	Artificial Intelligence; Higher Education; Foreign Countries; Technology Uses in Education; Learning; Instruction; Administration; Natural Language Processing; Mathematics; Prediction; Models; Learning Analytics; Assistive Technology; Content Analysis; Identification; At Risk Students; Dropout Characteristics; Latin America + Suchen Sie Ihr Suchwort? Künstliche Intelligenz; Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausland; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Lernen; Teaching process; Unterrichtsprozess; Verwaltung; Natürliche Sprache; Mathematik; Vorhersage; Analogiemodell; Inhaltsanalyse; Identifikation; Identifizierung; Lateinamerika
Abstract	Over the last decade, there has been great research interest in the application of artificial intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has been a research focus on the application of AI in education, where it has great potential. Therefore, a systematic review of the literature on AI in education is therefore necessary. This article considers its usage and applications in Latin American higher education institutions. After identifying the studies dedicated to educational innovations brought about by the application of AI techniques, this review examines AI applications in three educational processes: learning, teaching, and administration. Each study is analyzed for the AI techniques used, such as machine learning, deep learning, and natural language processing, the AI tools and algorithms that are applied, and the main education topic. The results reveal that the main AI applications in education are: predictive modelling, intelligent analytics, assistive technology, automatic content analysis, and image analytics. It is further demonstrated that AI applications help to address important education issues (e.g., detecting students at risk of dropping out) and thereby contribute to ensuring quality education. Finally, the article presents the lessons learned from the review concerning the application of AI technologies in higher education in the Latin American context. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2022/4/11