Research Article
A Proposed Framework for Developing an Artificial Intelligence - based Educational Platform
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 132 |
| Published: August 2026 |
| Authors: El-Saeed El-Saeed Abdel Razek, Dalia Ibrahim Al-Matbouli, Mona Samir Mohamed, Nermeen Mohamed Ali Eissa |
10.5120/ijca0d83091c3406
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El-Saeed El-Saeed Abdel Razek, Dalia Ibrahim Al-Matbouli, Mona Samir Mohamed, Nermeen Mohamed Ali Eissa . A Proposed Framework for Developing an Artificial Intelligence - based Educational Platform. International Journal of Computer Applications. 187, 132 (August 2026), 8-24. DOI=10.5120/ijca0d83091c3406
@article{ 10.5120/ijca0d83091c3406,
author = { El-Saeed El-Saeed Abdel Razek,Dalia Ibrahim Al-Matbouli,Mona Samir Mohamed,Nermeen Mohamed Ali Eissa },
title = { A Proposed Framework for Developing an Artificial Intelligence - based Educational Platform },
journal = { International Journal of Computer Applications },
year = { 2026 },
volume = { 187 },
number = { 132 },
pages = { 8-24 },
doi = { 10.5120/ijca0d83091c3406 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2026
%A El-Saeed El-Saeed Abdel Razek
%A Dalia Ibrahim Al-Matbouli
%A Mona Samir Mohamed
%A Nermeen Mohamed Ali Eissa
%T A Proposed Framework for Developing an Artificial Intelligence - based Educational Platform%T
%J International Journal of Computer Applications
%V 187
%N 132
%P 8-24
%R 10.5120/ijca0d83091c3406
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This study aims to develop and validate an Artificial Intelligence-Based Educational Platform Framework designed to support secondary education within a smart learning environment. The proposed framework integrates pedagogical principles, artificial intelligence technologies, educational media systems, technical infrastructure, and usability features to provide a unified and adaptive digital learning ecosystem. It focuses on enhancing personalized learning, adaptive assessment, intelligent tutoring, learning analytics, interactive communication, and educational media integration. To validate the framework, a questionnaire was developed and administered to experts in computer science, artificial intelligence, and educational media. The evaluation covered five main dimensions: pedagogical, technical, educational media, artificial intelligence, and usability. The results showed strong reliability of the instrument and a very high level of expert agreement, with an overall mean score of 4.71 (94.2%). The Artificial Intelligence dimension received the highest rating, confirming the effectiveness of AI-driven features within the framework. The findings indicate that the proposed framework is valid, feasible, and applicable for developing intelligent educational platforms. It offers a comprehensive model that supports digital transformation in education and enhances learning quality, engagement, and accessibility.
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