Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Ignacio Aguaded Gómez

Biographic Data

ID10209656
NAMEIgnacio Aguaded Gómez
GIVEN NAMESIgnacio Aguaded
FAMILY NAMEGómez
SIGNATUREGÓMEZ I A
AFFILIATIONSUniversidad de Huelva
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Engaging with generative artificial intelligence in later life

    Francisco Marcos Martín-Martín, Ignacio Aguaded et al.•ARTICLE•Educational Gerontology•2026

    The expansion of generative artificial intelligence (GAI) is reshaping everyday interactions, services, and communication, raising new challenges for aging societies. While existing research has focused on younger populations or instrumental uses of AI, less is known about how older adults understand, experience, and engage with generative AI in their daily lives. This study examines older adults’ knowledge, uses, and perceptions of GAI from a so…

No prominent works on this page.

  • Engaging with generative artificial intelligence in later life

    Francisco Marcos Martín-Martín, Ignacio Aguaded et al.•ARTICLE•Educational Gerontology•2026

    The expansion of generative artificial intelligence (GAI) is reshaping everyday interactions, services, and communication, raising new challenges for aging societies. While existing research has focused on younger populations or instrumental uses of AI, less is known about how older adults understand, experience, and engage with generative AI in their daily lives. This study examines older adults’ knowledge, uses, and perceptions of GAI from a so…

Aging and Gerontology Research (1 work) · E-Learning and Knowledge Management (1 work) · Generative grammar (1 work) · Generative model (1 work) · Inequality (1 work) · Social inequality (1 work) · Technology Use by Older Adults (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae