Teaching Newton's Laws in the Age of Artificial Intelligence: A Collaborative Work Experience

This study explores the perceptions of bankers towards education loans in India, comparing public and private sector banks. The research collects data from 204 bankers (102 each from public and private sectors) across six districts. It examines key factors such as loan sanctioning processes, repayment patterns, economic policies, and outcomes. Using statistical tools such as ANOVA, correlation and regression analysis, the study reveals significant differences between public and private sector approaches to education loans (p < 0.05). Key findings highlight that bankers strongly support prioritizing impoverished students (mean score: 4.04) and perceive education loans as essential for higher education access (mean score: 4.33). Geographic location and loan volume were found to significantly influence bankers’ perceptions and loan sanctioning practices.

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Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-04-01
DOI
https://doi.org/10.52783/jisem.v10i31s.5151
Primary Topic
Statistics Education and Methodologies
Type
article
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0.00
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article

Teaching Newton's Laws in the Age of Artificial Intelligence: A Collaborative Work Experience

Carlos Efraín Cusme Alcívar
Journal of Information Systems Engineering & Management
Statistics Education and Methodologies
article

Teaching Newton's Laws in the Age of Artificial Intelligence: A Collaborative Work Experience

Carlos Efraín Cusme Alcívar
article en

Abstract

This study explores the perceptions of bankers towards education loans in India, comparing public and private sector banks. The research collects data from 204 bankers (102 each from public and private sectors) across six districts. It examines key factors such as loan sanctioning processes, repayment patterns, economic policies, and outcomes. Using statistical tools such as ANOVA, correlation and regression analysis, the study reveals significant differences between public and private sector approaches to education loans (p < 0.05). Key findings highlight that bankers strongly support prioritizing impoverished students (mean score: 4.04) and perceive education loans as essential for higher education access (mean score: 4.33). Geographic location and loan volume were found to significantly influence bankers’ perceptions and loan sanctioning practices.

Journal of Information Systems Engineering & ManagementVol. 10(31s)
Openalex Percentile: Top 92%
Statistics Education and Methodologies
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