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The development of adaptable and intelligent educational systems is widely considered one of the great challenges in scientific research. Among key elements for building advanced training systems, an important role is played by methodologies chosen for knowledge representation. In this scenario, the introduction of ontology formalism can improve the quality of formative process, allowing the introduction of new and effective services. Ontology can lead to important improvements in the definition of courses knowledge domain, in the generation of adapted learning path and in the assessment phase. The purpose of this paper is to provide an initial discussion of the role of ontology in the context of e‐learning. It seeks to discuss the improvements related to the introduction of ontology formalism in the e‐learning field and to show a novel algorithm for ontology building through the use of Bayesian networks. Finally, it aims to illustrate its application in the assessment process and some experimental results.

A novel method for learning ontology for e‐learning is illustrated, using an approach based on Bayesian networks. Thanks to their characteristics, these networks can be used to model and evaluate the conditional dependencies among the nodes of ontology on the basis of the data obtained from student tests. An experimental evaluation of the proposed method was performed using real student data.

The proposed method was integrated in a tool for the assessment of students during a learning process. This tool is based on the use of ontology and Bayesian network. In particular through the matching between ontology and Bayesian network, it was found that our tool allows an effective tutoring and a better adaptation of learning process to demands of students. The assessment based on Bayesian approach allows a deeper analysis of student's knowledge.

The proposed approach needs more experimentation with other domains and with more complex ontology.

This paper provides an initial discussion of the role of ontology in the context of e‐learning. The improvements related to the introduction of ontology formalism in the e‐learning field are discussed and a novel algorithm for ontology building through the use of Bayesian Networks is showed. Finally, its application in the assessment process and some experimental results are illustrated.

The purpose of this paper is to show the relevance of the interest in sharing the common purpose and in searching for a common survival of emerging eco-system (ES) as an entity that “is not” but emerges by the viable actors interaction.

This conceptual paper contributes to the research by defining the ES building on the contributions of SD logic and viable systems approach (VSA), with a particular focus on the VSA perspective.

An ES emerges as a viable “system of systems” by an observer’s interpretation of the simultaneous interactions between different viable actors/systems that are sharing a common purpose (the survival of the ES), exchanging resources following a viable value co-creation model. Each actor/system could represent a level of quality of belonging to the ES looking for the opportunity to be resonant with the ES.

The ES features and the role of each actor inside could be deepened through different theoretical perspectives and the same VSA to the ES could be reached with empirical explorations.

Understanding the nature of the ES, the practitioners are able to explain better their position in relation to partners and competitors. It is possible to be a part of several emerging ESs looking for the will to contribute to the ES’ survival and to the sharing of the purpose of the interactive systems/actors. In a medium and long run, the measure of the resonance is useful to understand the quality in interaction.

The work provides a definition of the ES and the actors inside focusing on the perspective of VSA, by integrating the concept of viable value co-creation and solidarity-based logic; in particular, the concept of Centro Commerciale Naturale is used to show the emergence of the ES in a relational context generated by the interaction between city, service and retailers in a city center.