Educational process mining is an emerging field in the educational data mining (EDM) discipline, concerned with discovering, analyzing, and improving educational processes based on information hidden in datasets and logs. These data are recorded by educational systems in different forms and at different levels of granularity. Often, process discovery and analysis techniques applied in the educa...

In recent years, adaptive learning systems rely increasingly on learning hierarchy to customize the educational logic developed in their courses. Most approaches do not consider that the relationships of prerequisites between the skills are fuzzy relationships. In this article, we describe a new approach of a practical application of fuzzy logic techniques to the construction of learning hierar...

We present an Extended Named Entity Recognition API to recognize various types of entities and classify the entities into 200 different categories. Each entity is classified into a hierarchy of entity categories, in which the categories near the root are more general than the categories near the leaves of the hierarchy. This category information can be used in various applications such as langu...

Advanced multimedia techniques offer significant learning potential for students. Dale (1946, 1954, 1969) developed a Cone of Experience (CoE) which is a hierarchy of learning experiences ranging from direct participation to abstract symbolic expression. This paper updates the CoE for today's technology and learning context, specifically focused on the use of multimedia in education. The new hi...

this research conducted in order to prioritize the effective criteria on development of medicinal plants cultivation in north khorasan province using analytical hierarchy process (ahp) and delphi methods. for this purpose, a list of effective factors offered to delphi group. analysis of delphi process showed that among 23 offered factors 19 factors, had greater impact on development of medicina...

This paper presents PASER, a system for automatically synthesizing curricula using AI Planning and Machine Learning techniques on an ontology of educational resources metadata. The ontology is a part–of hierarchy of learning themes which correspond to RDCEO competencies. The system uses an automated planner, which given the initial state of the problem (learner’s profile, preferences, needs and...

Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression techniques, and demonstrate the appropriate use of ...