El impacto de la inteligencia artificial en el aprendizaje activo

This article reviews the impact of artificial intelligence (AI) on active learning, an educational approach in which students actively participate in their own learning process. AI, with its capacity for personalization, allows adjusting the pace and content to the needs of each learner, improving motivation and providing immediate feedback. However, its implementation presents challenges, such as the technological gap in disadvantaged regions, insufficient teacher training and ethical dilemmas related to data privacy. There are also warnings about the possibility of biases in the algorithms, which could reproduce pre-existing inequalities. Despite these challenges, AI has the potential to improve educational quality, enabling more effective and accessible learning experiences in diverse contexts. For successful implementation, it is critical to address ethical concerns and ensure a balance between technology and the development of critical and creative skills in students.

Authors

Publication Details

Journal
Horizon Nexus Journal.
Published
2024-10-31
DOI
https://doi.org/10.70881/hnj/v2/n4/43
Citations
2
Primary Topic
Educational Innovations and Technology
Type
article
Field-Weighted Citation Impact
1.56
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

El impacto de la inteligencia artificial en el aprendizaje activo

Orlen Ismael Araujo Sandoval
2 citations
Horizon Nexus Journal.
Educational Innovations and Technology
1.56
article

El impacto de la inteligencia artificial en el aprendizaje activo

Orlen Ismael Araujo Sandoval
article en
2 citations

Abstract

This article reviews the impact of artificial intelligence (AI) on active learning, an educational approach in which students actively participate in their own learning process. AI, with its capacity for personalization, allows adjusting the pace and content to the needs of each learner, improving motivation and providing immediate feedback. However, its implementation presents challenges, such as the technological gap in disadvantaged regions, insufficient teacher training and ethical dilemmas related to data privacy. There are also warnings about the possibility of biases in the algorithms, which could reproduce pre-existing inequalities. Despite these challenges, AI has the potential to improve educational quality, enabling more effective and accessible learning experiences in diverse contexts. For successful implementation, it is critical to address ethical concerns and ensure a balance between technology and the development of critical and creative skills in students.

Horizon Nexus Journal.Vol. 2(4)
Quality Education
Openalex Percentile: Top 12%
Educational Innovations and Technology
1.56
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.