| 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
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.