The Implementation Of Artificial Intelligence In Education: Systematic Analysis

Background: The rapid evolution of Artificial Intelligence (AI) has significantly influenced Education, demonstrating substantial potential to transform traditional teaching and learning methods. AI reshapes teacher-student interactions and the relationship with knowledge. Objective: To analyze the potential benefits, ethical challenges, and limitations of AI in Education based on recent scientific literature, emphasizing the balance between technology and human interaction. Methods: A documentary research approach with a descriptive focus was employed, following the PRISMA protocol for systematic reviews. The search strategy involved analyzing evidence from 18 scientific articles published within the last six years. Results:AI offers several advantages in Education, including: Personalization: Innovative and adaptive solutions enable individualized learning experiences. Feedback: Instant and accurate feedback facilitates improved student understanding.However, ethical challenges such as data privacy, equitable access to technology, and the role of educators persist. Conclusions: AI holds promise as a valuable tool for modern Education, enhancing learning personalization and outcomes. However, it cannot replace educators and requires ethical considerations and equitable access. Finding a balance between AI and human interaction is essential for effective integration. Addressing these challenges will maximize AI's potential benefits in 21st-century Education.

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Publication Details

Journal
Frontiers in Health Informatics
Published
2024-12-31
DOI
https://doi.org/10.63682/fhi1715
Primary Topic
Edcuational Technology Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

The Implementation Of Artificial Intelligence In Education: Systematic Analysis

Evelyn Ansah Karkkulainen, Salman Asghar, Gul Muhammad Shaikh, Darrel M. Ocampo et al.
Frontiers in Health Informatics
Edcuational Technology Systems
article

The Implementation Of Artificial Intelligence In Education: Systematic Analysis

Evelyn Ansah Karkkulainen, Salman Asghar, Gul Muhammad Shaikh, Darrel M. Ocampo, Anirudh Gupta, Mohammed Alaa H. Altemimi, Al Bagiro, Gundala Samhita Priyadarsini
article en

Abstract

Background: The rapid evolution of Artificial Intelligence (AI) has significantly influenced Education, demonstrating substantial potential to transform traditional teaching and learning methods. AI reshapes teacher-student interactions and the relationship with knowledge. Objective: To analyze the potential benefits, ethical challenges, and limitations of AI in Education based on recent scientific literature, emphasizing the balance between technology and human interaction. Methods: A documentary research approach with a descriptive focus was employed, following the PRISMA protocol for systematic reviews. The search strategy involved analyzing evidence from 18 scientific articles published within the last six years. Results:AI offers several advantages in Education, including: Personalization: Innovative and adaptive solutions enable individualized learning experiences. Feedback: Instant and accurate feedback facilitates improved student understanding.However, ethical challenges such as data privacy, equitable access to technology, and the role of educators persist. Conclusions: AI holds promise as a valuable tool for modern Education, enhancing learning personalization and outcomes. However, it cannot replace educators and requires ethical considerations and equitable access. Finding a balance between AI and human interaction is essential for effective integration. Addressing these challenges will maximize AI's potential benefits in 21st-century Education.

Frontiers in Health Informatics
Openalex Percentile: Top 72%
Edcuational Technology Systems
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The Implementation Of Artificial Intelligence In Education: Systematic Analysis — Evelyn Ansah Karkkulainen, Salman Asghar, et al. · Frontiers in Health Informatics (2024) | TGRS Research Map | TGRS