Generative AI for Personalized Education and Skill Development

There has been an education revolution with the emergence of generative AI.It's a revolution that is bringing back the possibility of "delivery" to the classroom, and to students who want to use that delivery to study what interests them or important things that they're having trouble understanding.What this could lead to is more personalized learning experiences, quicker feedback on learning, more adaptive assessment practices and greater student ownership and that is likely to revolutionize the way we teach and learn.Moving away from Student Centered models including more universal student models is something we all knew needed to happen, but it's been a wakeup call.Now with the emergence of generative AIs, we might start to consider how to personalize content creation by each students' needs, interests and learning modes -a challenge almost insurmountable even for a single human teacher with a classroom of 30 or more.AIs The AI should be able to facilitate learning through practical learning, interactive simulation and explanation material on complex topics to improve interest and motivation.When it comes to technology and commerce, generative AI is a talent multiplying magic wand.Program where students develop techniques in controlled environment with "situation environments."That kind of real-world training could be broadly relevant in multiple fields, from health care, to engineering, to computer programming.Technology, such as AI, can also provide project-based assessments to students, monitor individual student progress using advanced analytics, and provide personalized interventions to address targeted skill gaps.The contributions of the generative AI tools to learning depends on the scaffolding and support embedded in their form of integration in science curricula, platforms, and pedagogical design.It should not replace teachers, but instead supplement them and move them toward mentorship, emotional support, and development.It is essential that technologists, educators, policymakers, and young people themselves contribute to the design of an ecosystem that will optimize the benefits and mitigate the disadvantages.Generative A.I. is exciting, but it is also a manifestly, dangerous technology.

Authors

Publication Details

Journal
The Review of Contemporary Scientific and Academic Studies
Published
2025-05-26
DOI
https://doi.org/10.55454/rcsas.5.05.2025.004
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI for Personalized Education and Skill Development

Venkata Ashok Kumar Boyina et al.
The Review of Contemporary Scientific and Academic Studies
Online Learning and Analytics
article

Generative AI for Personalized Education and Skill Development

Venkata Ashok Kumar Boyina et al.
article en

Abstract

There has been an education revolution with the emergence of generative AI.It's a revolution that is bringing back the possibility of "delivery" to the classroom, and to students who want to use that delivery to study what interests them or important things that they're having trouble understanding.What this could lead to is more personalized learning experiences, quicker feedback on learning, more adaptive assessment practices and greater student ownership and that is likely to revolutionize the way we teach and learn.Moving away from Student Centered models including more universal student models is something we all knew needed to happen, but it's been a wakeup call.Now with the emergence of generative AIs, we might start to consider how to personalize content creation by each students' needs, interests and learning modes -a challenge almost insurmountable even for a single human teacher with a classroom of 30 or more.AIs The AI should be able to facilitate learning through practical learning, interactive simulation and explanation material on complex topics to improve interest and motivation.When it comes to technology and commerce, generative AI is a talent multiplying magic wand.Program where students develop techniques in controlled environment with "situation environments."That kind of real-world training could be broadly relevant in multiple fields, from health care, to engineering, to computer programming.Technology, such as AI, can also provide project-based assessments to students, monitor individual student progress using advanced analytics, and provide personalized interventions to address targeted skill gaps.The contributions of the generative AI tools to learning depends on the scaffolding and support embedded in their form of integration in science curricula, platforms, and pedagogical design.It should not replace teachers, but instead supplement them and move them toward mentorship, emotional support, and development.It is essential that technologists, educators, policymakers, and young people themselves contribute to the design of an ecosystem that will optimize the benefits and mitigate the disadvantages.Generative A.I. is exciting, but it is also a manifestly, dangerous technology.

The Review of Contemporary Scientific and Academic StudiesVol. 5(5)
Openalex Percentile: Top 89%
Online Learning and Analytics
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