Cited by 64Artificial Intelligence in EducationArtificial Intelligence in Healthcare and EducationIntelligent Tutoring Systems and Adaptive Learning

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Artificial Intelligence and Digital Ecosystems in Education: A Review

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Rojas, Milena Patricia, Chiappe, Andrés·2024·Technology, Knowledge and Learning

Abstract

Digital ecosystems are a set of interconnected elements that enable an integrated and seamless digital experience. In education, the use of Artificial Intelligence (AI) has great potential to improve teaching and learning. However, for the expectations placed on the educational use of AI to be met, it is necessary to develop adequate digital ecosystems that allow its effective implementation. Therefore, it is of great importance to deepen the understanding of these ecosystems and their key elements for such implementation. For this purpose, a systematic review of the literature on this subject was conducted, which included the analysis of 76 articles published in peer-reviewed journals. The main results of the review highlight the current focus of research in that matter, which relates digital ecosystems and artificial intelligence around the personalization of learning. Also, some aspects related to this relationship are analyzed from four categories: networks, applications, services, and users.

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  • The benefits of AI-automation of low-level grading and personalization-are contingent on the presence of robust digital ecosystems that render algorithms intelligible and data flows governable.

    “the much-vaunted benefits of AI-automation of low-level grading and personalization-are contingent on the presence of robust digital ecosystems that render algorithms intelligible and data fl ows governable (Rojas and Chiappe, 2024).”

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Authors
Rojas, M. P., & Chiappe, A.
Affiliations
  • Corporación Universitaria Minuto de Dios (CO)
  • Universidad de La Sabana (CO)
Corresponding author
  • Rojas, Milena Patricia
  • Chiappe, Andrés
Venue
Technology, Knowledge and Learning
Published
2024-05-03
Volume
29
Issue
4
Pages
2153-2170
ISSN
  • 2211-1662 (ISSN-L)
  • 2211-1670
OpenAlex
W4396616097
Cited by
64
References
1
Citations by year
2026: 39 · 2025: 17 · 2024: 8
FWCI
24.06
Type
journal article
Language
en
Open access
Locations
  • Technology Knowledge and Learning (publishedVersion, cc-by)
  • Intellectum (Universidad de La Sabana) (submittedVersion, cc-by-nc-nd)
Funders
University of La Sabana
Topics
  • Social Sciences › Education › Artificial Intelligence in Education
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
Keywords
artificial intelligence in education, digital ecosystems, personalized learning, educational technology, digital networks

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