ItemConference Paper

Bridging the Rural Digital Divide: Machine-Learning-Driven Predictive Modeling of Digital Literacy Program Outcomes

Title
Bridging the Rural Digital Divide: Machine-Learning-Driven Predictive Modeling of Digital Literacy Program Outcomes
Creator
Krishnan, Divya R.; Yadav, Suneetha; Biswas, Pritha; Basha, Md Shaik Amzad; Prathiba, L.
Description
The research project performed multiple regression model evaluations to assess how effective digital literacy schemes are in rural education settings. Training program achievements relied on predicted educational proficiency scores while program evaluation relied on both comprehensive participant demographic details and process training statistics. Our study examined numerous regression approaches from basic Linear Regression forms through advanced Random Forest and Gradient Boosting models and concluded with complex methods including Stacking and XGBoost. The research analyzed prediction accuracy and model explanatory power using Mean Squared Error (MSE) and Rsquared (R2) values during the evaluation process. Multiple feature applications were the best fit for the deterministic ensemble techniques which exhibited superior performance but alternatively different analytical models displayed stable prediction results. This research proposes educational method advancement through machine learning approaches capable of creating custom solutions targeting rural user requirements. This study delivers key information to stakeholders in its combined study of digital education enhancements and sophisticated learning evaluation data analysis techniques. 2025 IEEE.
Source
2025 International Conference on Information, Implementation, and Innovation in Technology, I2ITCON 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Digital Literacy; Educational Outcomes Prediction; Machine Learning; Predictive Modeling; Rural Education
Coverage
Krishnan D.R., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Yadav S., Rgm College of Engineering and Technology, Nandyal, India; Biswas P., Christ (Deemed to be University), Department of Professional Studies, Bengaluru, India; Basha M.S.A., Gitam School of Business, Gandhi Institute of Technology and Management (Deemed to be University), Hyderabad, India; Prathiba L., Ashoka Women Engineering College (Autonomous), Kurnool, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833153482-0;
Format
online
Language
English
Type
Conference paper

Citation

Krishnan, Divya R.; Yadav, Suneetha; Biswas, Pritha; Basha, Md Shaik Amzad; Prathiba, L., “Bridging the Rural Digital Divide: Machine-Learning-Driven Predictive Modeling of Digital Literacy Program Outcomes,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25850.

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