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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Machado, A. De Bem, João Rodrigues dos Santos, António Sacavém & Sousa, M. (2024). Digital Transformations: Artificial Intelligence in Higher Education. In Digital Transformation in Higher Education Institutions. (pp. 1-23).: springer.
Exportar Referência (IEEE)
A. D. Machado et al.,  "Digital Transformations: Artificial Intelligence in Higher Education", in Digital Transformation in Higher Education Institutions, springer, 2024, pp. 1-23
Exportar BibTeX
@incollection{machado2024_1722198059226,
	author = "Machado, A. De Bem and João Rodrigues dos Santos and António Sacavém and Sousa, M.",
	title = "Digital Transformations: Artificial Intelligence in Higher Education",
	chapter = "",
	booktitle = "Digital Transformation in Higher Education Institutions",
	year = "2024",
	volume = "",
	series = "",
	edition = "",
	pages = "1-1",
	publisher = "springer",
	address = "",
	url = "https://link.springer.com/chapter/10.1007/978-3-031-52296-3_1#citeas"
}
Exportar RIS
TY  - CHAP
TI  - Digital Transformations: Artificial Intelligence in Higher Education
T2  - Digital Transformation in Higher Education Institutions
AU  - Machado, A. De Bem
AU  - João Rodrigues dos Santos
AU  - António Sacavém
AU  - Sousa, M.
PY  - 2024
SP  - 1-23
DO  - 10.1007/978-3-031-52296-3_1
UR  - https://link.springer.com/chapter/10.1007/978-3-031-52296-3_1#citeas
AB  - Artificial intelligence is a driver of digital transformation that permeates all sectors of the economy. In this context, it becomes relevant to understand the applicability of artificial intelligence in higher education. Thus, the following problematic issues arise: (1) What is digital transformation?, (2) What is artificial intelligence? and (3)How can artificial intelligence technology be applied in higher education? To answer this problem, the following objective was set: to map digital transformation and the application of artificial intelligence in higher education. To this end, a bibliometric search was conducted in the Web of Science database. The findings demonstrated that artificial intelligence can be applied to higher education through an intelligent contract that encourages collaboration among students and participation in extracurricular activities while also boosting machine reliability by creating a chain of information. Additionally, it is decided that this technology will assist in educating a generation that is prepared to cooperate more and adopt sustainable attitudes for solving difficult problems in twenty-first-century daily life.
ER  -