Artificial Intelligence in E-Learning Systems

Introduction

Education is one the most essential sectors of society. It is linked with all of the other sectors and its impact on them is substantial. E-learning - or electronic learning - has been referred to as technology-enhanced learning, it describes a set of technology-mediated methods that can be applied to support student learning and can include elements of assessment, tutoring, and instruction.

With the traditional training approach, there is a single learning path, and the instructor/course creator defines the same order of content for all students equally, content is generic, and content is not adapted in relation to the interests of each person. With the traditional training approach, students can get bored, teachers have difficulty in analyzing the individual learning path, teachers have fewer resources to create teaching material.

As more and more students gain learning experience with computers, it is possible to record data on their progress and it is necessary to engage the student with learning materials.

The adaptive educational systems within e-learning platforms are built in response to the fact that the learning process is different for every learner. In order to provide adaptive e-learning services and study materials, that are tailor-made for adaptive learning, this type of educational approach seeks to combine the ability to comprehend and detect a person’s specific needs in the context of learning with the expertise required to use appropriate learning pedagogy and enhance the learning process. Thus, it is critical to create accurate student profiles and models based upon analysis of their affective states, knowledge level, and their individual personality traits and skills. In this sense, it is necessary to give the system dynamic self-learning capabilities from the behaviors exhibited by the teachers and students to create the appropriate pedagogy and automatically adjust the e-learning environments to suit the pedagogies.

Artificial Intelligence changes the nature of industries, transport, health, finance etc. included education, so the prospect of personalized e-learning is quickly becoming a reality, allowing to determine how individual students understand the material and to develop more personalized curricula, while helping teachers identify problem areas of students, helping to provide the right content to the right student at the right time, to customize content based on each student's existing knowledge, to create eLearning courses in less time. Therefore, Artificial Intelligence has the power to optimize both learning and teaching, helping the education sector evolve to better benefit students and teachers alike. It is important to admit the current limits of technology and admit that AI is not (yet) ready to replace teachers but is presenting the real possibility to augment them.

The aim of this contribution is to describe some technologies and methodologies to execute personalized e-learning using Artificial Intelligence as specific approach, it also discusses background, knowledge, challenges, and critical factors necessary for successful implementation. The impact of the development of Artificial Intelligence on the role of educators is detailed.