Title :
Intelligent methodologies and technologies for e-learning
Author_Institution :
Comput. Sci. Dept., Ain Shams Univ., Cairo, Egypt
Abstract :
In the last years artificial intelligence (AI) approaches have been proposed by the knowledge engineers in the context of e-learning technologies. These approaches offer intelligent methodologies, techniques, and algorithms that can help solving problems in a variety of education/learning/training domains. These techniques have been successfully used in solving many of the e-learning problems. On the other side, the convergence of AI technologies, educational technologies and web technologies is enabling the creation of web-based intelligent e-learning technology. In recent years, network-based teaching and learning has become widespread, with bespoke solutions by individual institutions and standardizing initiatives for learning technologies. Such technologies will provide a unique opportunity to distribute learning/education/training across multiple sites while dramatically reducing travel related costs. This talk introduces some of AI approaches to knowledge-based systems from the literature and the research results of the author and his colleagues that have been carried out in recent years on developing intelligent e-Learning systems in medical domain as an example.
Keywords :
Internet; biomedical education; computer aided instruction; knowledge based systems; knowledge engineering; training; AI technologies; Web-based intelligent e-learning technology; artificial intelligence; education domain; educational technologies; intelligent e-learning systems; intelligent methodologies; knowledge-based systems; learning domain; medical domain; network-based teaching; training domain; travel related cost reduction; Cognition; Data mining; Electronic learning; Learning systems; Ontologies;
Conference_Titel :
Emerging eLearning Technologies & Applications (ICETA), 2012 IEEE 10th International Conference on
Conference_Location :
Stara Lesna
Print_ISBN :
978-1-4673-5120-1
DOI :
10.1109/ICETA.2012.6418309