Enhancing College Education: An AI-driven Adaptive Learning Platform (ALP) for Customized Course Experiences
Hanan Altaleb, Samar Mouti, Shajeela Beegom
Abstract
The main aim of this paper is to design an Adaptive Learning Platform (ALP) based on Artificial intelligence (AI) algorithm for students taking college courses. In this platform, course content and methods are customized to meet the needs of individual students based on AI algorithms. ALP aims to provide efficient, effective, and customized course learning paths based on student level. This platform enhances student performance in the course learning outcome by adjusting the instructional content, pace, and delivery methods to the learner's individual needs and preferences. ALP uses Reinforcement Learning (RL) algorithm and data analytics techniques to analyze the student's learning behaviors, strengths, and weaknesses, and provide personalized recommendations on how to improve their learning outcomes.