Applications of Artificial Neural Networks in E-Learning Personalization

Abstract

Artificial learning is playing a very important role in supporting emerging and existing technologies present around us. In the areas of learning and tutoring from a person to a researcher, it plays a key role in the field of knowledge due to its advancement. The adaptive e-learning is providing personalized and advanced learning system to the learners. Why this is important? This is because it facilitates the capacity of a person which provides more accuracy in reading and understanding in more detail. To find the most appropriate personalized learning material for a learner is difficult on the net. Artificial Intelligence-based E-Learning is a platform that possesses the ability to perform different tasks that require human intelligence. It helps in analyzing and creating different solutions to human-related problems, speech recognition, software problems. Due to its diversifying nature in different fields here it is in much demand for the process of e-learning. Artificial Neural Networks is making everything easily available and in finding their own personalized learning environment through innumerable resources by suggesting to users depending on their interests and in taking less amount of time and effort. In this paper, I will discuss the importance of artificial neural networks in E-Learning personalization along with its advantages and disadvantages. Also, I will be discussing some of the use cases and the importance of artificial neural networks as Neural Networks, personalization, artificial intelligence, applications.

Keywords: Neural Networks, Artificial Neural Networks and Personalized Learning

JEL Classification: C00,L15