Rural Girls' AI Empowerment Survey in Bangladesh with Regression Analysis

Bangladesh survey data from 1,006 female students in rural areas, exploring factors affecting AI engagement. The dataset includes raw survey responses and a multiple linear regression analysis used to validate the Rural Girls’ AI Empowerment Framework (RGAIEF). It was authored by Ritesh Karmaker and last updated on 2026-04 17.

Use Cases

• Validate the Rural Girls’ AI Empowerment Framework (RGAIEF) based on the included regression analysis.
• Analyze the impact of digital access on AI engagement among rural female students.
• Study the relationship between mobile data costs and technology adoption.
• Investigate how security concerns influence AI learning and usage.

Strengths

• Includes 1,006 survey responses, providing a substantive sample size.
• Contains both raw survey data and a completed regression analysis for validation.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the survey data is unknown, which may limit suitability assessment.
• Data may reflect geographic and demographic bias inherent to the specific rural Bangladeshi context.

Provenance

Source

figshare

Collection Method

Survey responses.

Time Range

null

Freshness

Last updated 2026-04-17 17:50:02; freshness should be verified.

Geography

Rural Bangladesh