CFP last date
20 October 2026
Reseach Article

A Proposed Framework for Developing an Artificial Intelligence - based Educational Platform

by El-Saeed El-Saeed Abdel Razek, Dalia Ibrahim Al-Matbouli, Mona Samir Mohamed, Nermeen Mohamed Ali Eissa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 132
Year of Publication: 2026
Authors: El-Saeed El-Saeed Abdel Razek, Dalia Ibrahim Al-Matbouli, Mona Samir Mohamed, Nermeen Mohamed Ali Eissa
10.5120/ijca0d83091c3406

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 ( Aug 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 },
issue_date = { Aug 2026 },
volume = { 187 },
number = { 132 },
month = { Aug },
year = { 2026 },
issn = { 0975-8887 },
pages = { 8-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number132/a-proposed-framework-for-developing-an-artificial-intelligence-based-educational-platform/ },
doi = { 10.5120/ijca0d83091c3406 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-08-20T21:54:35.840850+05:30
%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
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 132
%P 8-24
%D 2026
%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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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence; Smart Learning Environment; Educational Platform; Adaptive Learning; Intelligent Tutoring Systems; Learning Analytics; Educational Media; Digital Transformation in Education; Personalized Learning; Secondary Education