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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.

In the last 10 years or so, a growing body of research has highlighted the importance of social movements as the mechanism through which fields change or new fields emerge. This article contributes to this body of research by studying how an organization was able to promote institutional change from the center of a field by channeling the legitimacy generated by local religious movements. Data comes from the archives of a special commission within the Catholic Church that developed rules for adjudicating miracles performed by candidates to sainthood. The social movement is composed of candidates and their supporters who mobilized local communities using miracles. The period of the analysis was the aftermath of the Protestant Schism, when long-established practices and beliefs were fundamentally challenged. By approving miracles that created ties between individuals that spanned across kinship and social status boundaries, the commission was able to channel legitimacy into the wounded core of the Church. At the same time, receiving Rome’s approval reduced the competition the candidate’s supporters faced from other religious activists. The noncontentious interaction that occurred between the two actors gave birth to the field of modern sainthood. The main implication for organization theory is that, even in the absence of conflict, a new environment and ideology can emerge endogenously from the center of a field and transform both the organization and the social movement.