AI Techniques for Monitoring Student Learning Process

AI Techniques for Monitoring Student Learning Process

David Camacho (Universidad Autonoma de Madrid, Spain), Álvaro Ortigosa (Universidad Autonoma de Madrid, Spain), Estrella Pulido (Universidad Autonoma de Madrid, Spain) and María D. R-Moreno (Universidad de Alcalá, Spain)
Copyright: © 2008 |Pages: 24
DOI: 10.4018/978-1-59904-756-0.ch009
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Abstract

The evolution of new information technologies has originated new possibilities to develop pedagogical methodologies that provide the necessary knowledge and skills in the higher education environment. These technologies are built around the use of Internet and other new technologies, such as virtual education, distance learning, and long-life learning. This chapter focuses on several traditional artificial intelligence (AI) techniques, such as automated planning and scheduling, and how they can be applied to pedagogical and educational environments. The chapter describes both the main issues related to AI techniques and e-learning technologies, and how long-life learning processes and problems can be represented and managed by using an AI-based approach.

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