Применение пиринговой оценки письменных работ студентов в потоковых очных курсах
This article describes an approach to assessment of assignments in online course “Computer Graphics” and in-class course “Video Technologies” held on MOOC platform Stepic and self-made platform for evaluation of graphical assignments for editing, encoding and composing video. This approach is suitable for assignments of various formalization.
Research of applicability of peer assessment of written works in full- time courses are conducted in order to establish sufficient conditions for the reduction of teaching load and intensification of active learning by students. Basing on existing methodologies for peer evaluation of mass online courses were created assessment models and rules, specific to audience and training format. For two years of experiments real- life raw evaluation data for analysis and calculated results were gathered. The applied assessment methods were analyzed as well as the simulated results for other grading calculation formulas. Combining formulas for assessment of the authors and peers with special rules of work allow to achieve reliable results, this is a new approach to educational practice. The practical significance of the study is the experimentally proven experience and formulas modeled on the experimental data, that allow to calculate the grades without teacher.
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
Many electronic devices operate in a cyclic mode. This should be considered when forecastingreliability indicators at the design stage.The accuracy of the prediction and the planning for the event to ensure reliability depends on correctness of valuation and accounting greatest possiblenumber of factors. That in turn will affect the overall progress of the design and, in the end,result in the quality and competitiveness of products