Different aspects of learner essential to be considered when developing intelligent educational systems, which can be static such as age, email, etc., or dynamic like knowledge level, learning styles, preferences, etc.
Published in Chapter:
Artificial Intelligence Methods in E-Learning
Meltem Eryılmaz (Atılım University, Turkey), Afaf Muftah Adabashi (Atılım University, Turkey), and Ali Yazıcı (Atılım University, Turkey)
Copyright: © 2019
|Pages: 21
DOI: 10.4018/978-1-5225-8476-6.ch015
Abstract
Gathering and extracting knowledge from the large amount of data available today is becoming more and more important in our information society, and similarly, learning is an essential important part of our everyday lives. The new requirements of the competing world and the development of more advanced technologies have also changed traditional educational systems, which now employ better and more effective teaching and learning methods. In this regard, the integration of artificial intelligence (AI) technologies in the field of education offers both great challenges and opportunities in building e-learning systems. E-learning systems allow learners to access the educational materials ubiquitously from anywhere at any time. Therefore, these systems have to become adaptive to the needs and preferences of each individual learner. This chapter presents a review of the important concepts and background for research to include introduction and examination of e-learning systems and intelligent tutoring systems (ITSs), available today.