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People' s educational needs and requirements change. At the same time, educational technologies and tools also evolve. Therefore, contemporary educational methods are obliged to adapt to both. E-learning is the mode of learning which serves the former while exploits the latter. As e-learning capabilities are moving into the third decade of their implementation (Kulik et al., 1990), the necessity of thorough assessment is imminent. Moreover, the adoption to e-learning of assessment features which were successfully used by ecommerce is also a challenging issue. In this study, a novel approach is presented and put to test. The approach tries to utilize applicable features of e-commerce technology to e-learning in an effort to measure usage, user trends and knowledge affiliations. To the extent, some already tested indexes and metrics are used for the quantification of qualitative features of e-learning. These indexes and metrics contribute to the assessment of both educational content exposed by the educators and content usage by the learners. In this paper the identified features are classified. Finally, an experimental case scenario that took place in a Greek university e-learning platform is presented. From the revealed results there is evidence that these corresponding to features variables can be used for the measurement of reach, richness and information density of an e-learning platform system.

Mapping and Identifying Features of e-Learning Technology through Indexes and Metrics