Artificial Intelligence technique that stores past cases characteristics and solutions, reusing and readapting them to new situations.
Published in Chapter:
Surpassing Online Learning Obstacles
Dilermando Piva Jr. (Faculty of Technology of Indaiatuba, Brazil), Ricardo Luís de Freitas (Catholic University of Campinas, Brazil), and Gilberto S. Nakamiti (Catholic University of Campinas, Brazil)
Copyright: © 2009
|Pages: 8
DOI: 10.4018/978-1-60566-198-8.ch295
Abstract
In the last decade, the use of Internet and wide-band access have supported the spread of distance learning through the Web, which we will call Online Teaching. Schools and universities have been rethinking their teaching practices and educational policies in establishing online teaching programs. Online Teaching becomes not only a new pedagogical model or an educational technology, but also a new social model and technology, gathering each time more students at decreasing costs. Nevertheless, Online Teaching is far from achieving its maximum potential. Personal, methodological, technological, and institutional restrictions are usually associated with important limitations. As an example, teachers may not attend many students without affecting the quality of the online learning process. Clearly, this may impose serious restrictions to a major growth of the number of students attended and/or the quality of the learning process.