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ABSTRACT

A goal of e-learning is to increase efficiency by precisely identifying the training a student needs, and providing that training in the context of day to day activities of the students [1]. This paper describes how the use of IA algorithms can be utilized to automatically generate customized learning contents on elearning environments. On top of that, we also propose the inclusion in the whole process of digital rights, as in our opinion, it's a way to make up for contents creators and to encourage them to create better, more useful materials.

REFERENCES

• 1: De Coi, J. L., Herder, E., Koesling, A., Lofi, C., Olmedilla, D., Papapetrou, O., Siberski, W. A Model for Competence Gap Analysis. Proceedings of 3rd International Conference on Web Information Systems and Technologies (WEBIST), 2007.
• 2: IEEE, Learning Technology Standards Committee (LTSC). Draft Standard for Learning Technology -- Data Model for Reusable Competency Definitions. 2007, IEEE.
• 3: IMS, Reusable Definition of Competency or Educational Objective -- Information Model. 2002, IMS Global Learning Consortium

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.5 Programming Languages and Software

General Terms:
Algorithms, Experimentation, Standardization

Keywords:
E-learning, LMS, learning object, sequencing