Педагогическая информатика как техническое, философское понятие и понятие современной педагогики
It’s common knowledge that today’s education is becoming more open and easily accessible; consequently, it is not limited by the boundaries of countries and regions. Moreover, online communication allows the educational processes to transpire irrespective of the territorial boundaries: not only the number of students is growing, but also their cultural identities are becoming more diverse. Nowadays are facing new problems caused by different world views, specific types of educational discourse, various information processing strategies etc. This book describes the prerequisites for development in the area of crosscultural didactics. This approach is based on research studies of differences between mentalities, ways of working with educational information, culturally-specific teaching methods and teaching techniques that determine differentiated approaches to the choice of multimedia technologies in education system. Cross-cultural multimedia didactics may be viewed as a combination of cultural, psychological and pedagogical aspects, of culture specific pedagogical discourse, unique features of ergonomic design of educational resources, cognitive and pragmatic features and specific methods and forms of teaching and, therefore, is set to become one of the most important trends in contemporary education system.
This book will be of interest not only to professional, who work in modern cross-cultural education environment, but also to a wide range of readers interested in cross-cultural communication.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability