TRANSFORMING HIGHER EDUCATION: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN KERALA’S ACADEMIC LANDSCAPE

This study explores the growing impact of Artificial Intelligence (AI) on the educational sector, particularly within the context of higher education in Kerala, India.As AI technologies rapidly evolve, their integration into academic systems is transforming traditional teaching methodologies, curriculum development, student engagement, and overall academic performance.The study aims to assess students' awareness and usage of AI tools and evaluate the effectiveness of AI-driven educational tools.Employing a descriptive research design, both primary and secondary data were used.Primary data were collected through structured questionnaires from 120 students using convenient sampling.Analytical tools such as Weighted Average Mean, percentage analysis, and Chi-Square test were applied to interpret the data.Key findings reveal that AI tool usage varies across demographics, with younger and female Rani L, Biju S K https://iaeme.com/Home/

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Publication Details

Journal
INTERNATIONAL JOURNAL OF MANAGEMENT
Published
2024-12-10
DOI
https://doi.org/10.34218/ijm_15_06_018
Primary Topic
Online Learning and Analytics
Type
article
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article

TRANSFORMING HIGHER EDUCATION: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN KERALA’S ACADEMIC LANDSCAPE

Seena Biju, Larissa Navia Rani
INTERNATIONAL JOURNAL OF MANAGEMENT
Online Learning and Analytics
article

TRANSFORMING HIGHER EDUCATION: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN KERALA’S ACADEMIC LANDSCAPE

Seena Biju, Larissa Navia Rani
article en

Abstract

This study explores the growing impact of Artificial Intelligence (AI) on the educational sector, particularly within the context of higher education in Kerala, India.As AI technologies rapidly evolve, their integration into academic systems is transforming traditional teaching methodologies, curriculum development, student engagement, and overall academic performance.The study aims to assess students' awareness and usage of AI tools and evaluate the effectiveness of AI-driven educational tools.Employing a descriptive research design, both primary and secondary data were used.Primary data were collected through structured questionnaires from 120 students using convenient sampling.Analytical tools such as Weighted Average Mean, percentage analysis, and Chi-Square test were applied to interpret the data.Key findings reveal that AI tool usage varies across demographics, with younger and female Rani L, Biju S K https://iaeme.com/Home/

INTERNATIONAL JOURNAL OF MANAGEMENTVol. 15(6)
Quality Education
Openalex Percentile: Top 68%
Online Learning and Analytics
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