Data-Driven Academic Performance Evaluation: A Smart Platform Approach

Abstract

The integration of Artificial Intelligence (AI) into the educational sector has emerged as a transformative force, promising to redefine the paradigms of teaching, learning, and academic evaluation. This paper introduces the development of an intelligent platform designed to assess academic performance, leveraging the capabilities of AI to offer personalized insights and interventions. Through the utilization of Deep Intelligence analytics and machine learning algorithms, the platform analyzes a wide array of data, including survey responses and academic records, to identify significant factors influencing student success. Key findings underline the critical role of prior knowledge in shaping academic outcomes, while also shedding light on the specific challenges posed by online learning environments. The platform’s architecture, grounded in flexibility and scalability, ensures seamless integration with existing educational frameworks, offering a robust tool for educators and institutions to enhance student engagement, retention, and overall academic achievement. This work not only contributes to the ongoing discourse on AI in education but also lays the groundwork for innovative approaches to academic support and personalized learning.