О формирующем контроле и информативной обратной связи при проектировании учебных курсов по программированию
The article considers a place of formative assessment and feedback in education process and specific properties of these concepts in programming training courses. Systematic description of these significant educational tools is given. As authors knew, no Russian educators neither fully describes these concepts, nor carries out them in daily practice. Authors needed in a formalization of feedback for computer support of training process
This paper describes the experience of using open datasets in “Programming” course for the first-year undergraduates in Software engineering. The course is designed according to a combined approach. It contains the features of problem based learning and formative assessment. We describe and give examples of open datasets using in training and assessment task development. We also present the problems of open data application to educational process and possible ways of their solving.
The article examines main elements of the national assessment program NAEP (The National Assessment of Educational Progress) in USA. Among these elements are goals of the SIMCE, users of assessment results, information dissemination strategy, forms of information, information products and their characteristics.
Content and methodic of the preparation testing in “Programming” subject in LMS e-Front is given. Necessity and preconditions to the preparation testing are described. The results of application of the methodic are provided.
The article reports on a study of the role of assessment and feedback in making presentations. It first gives a brief overview of the programme and course outline, then looks at the teaching methods used and theory of assessment and, finally, provides results of assessment of almost 100 presentations with one sample analysed in detail. The criteria specifically developed for the course will also be given.
Full preparation for taking the Russian State Exam in English with diagnostic tests, exam-type exercises and several full-size practice tests.
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