Publications

It has been acknowledged that the null subject of a converbial clause in Russian is canonically controlled by the Nominative subject of a main clause (Nominative subject control). Non-Nominative control has been considered ungrammatical. On the basis of two experiments (acceptability rating and speeded grammaticality judgement tasks) the paper shows that the non-Nominative control (by u menya ‘PREP I.GEN’) with mental converbs is evaluated lower than grammatically correct but higher than grammatically incorrect sentences. Moreover, according to the data from the RNC, the frequency of non-Nominative control increased in more recent written texts (approximately since the second half the 20th century). Furthermore, the paper reveals a new effect of the linear position of the converbial clause relative to the main clause (preposition vs. postposition). Preposed converbial clauses are judged as more acceptable than postposed converbial clauses. In more recent written corpus texts, there is also a tendency for non-Nominative control to occur in sentences with preposed converbial clauses. Last but not least, the paper demonstrates that sentences with the 1SG pronoun controllers are more acceptable than sentences without an overt subject.

Massive open online courses (MOOCs) generate learners’ performance data that can be used to understand learners’ proficiency and to improve their efficiency. However, the approaches currently used, such as assessing the proportion of correct responses in assessments, are oversimplified and may lead to poor conclusions and decisions because they do not account for additional information on learner, content, and context. There is a need for theoretically grounded data-driven explainable educational measurement approaches for MOOCs. In this conceptual paper, we try to establish a connection between psychometrics, a scientific discipline concerned with techniques for educational and psychological measurement, and MOOCs. First, we describe general principles of traditional measurement of learners’ proficiency in education. Second, we discuss qualities of MOOCs which hamper direct application of approaches based on these general principles. Third, we discuss recent developments in measuring proficiency that may be relevant for analyzing MOOC data. Finally, we draw directions in psychometric modeling that might be interesting for future MOOC research.

Formative assessments are an important component of massive open online courses (MOOCs), online courses with open access and unlimited student participation. Accurate conclusions on students’ proficiency via formative, however, face several challenges: (a) students are typically allowed to make several attempts; and (b) student performance might be affected by other variables, such as interest. Thus, neglecting effects of attempts and interest in proficiency evaluation might result in biased conclusions. In this study we try to solve this limitation and propose two extensions of the common psychometric model, the Rasch model, by including the effects of attempts and interest. We illustrate these extensions using real MOOC data and evaluate them using cross-validation. We found that (a) the effects of attempts and interest on the performance are positive on average but both vary among students; (b) a part of the variance in proficiency parameters is due to variation between students in the effect of interest; and (c) the overall accuracy of prediction of student’s item responses using the extensions is 4.3% higher than using the Rasch model.

The author analyzes the development of the multimedia project «Russia – my history» using the example of Moscow historical park that was reconstructed in 2018. The research compares the ways of the historical narrative mediation (before and after the reconstruction of the exhibition pavilion) through the lenses of the theoretical approaches developed by H. White, M. McLuhan and S. Hall. The changes that took place in the expositions not only marked the beginning of a new life of the project’s exhibitions, but also clearly reflected the mechanisms of interaction between the institutional and symbolic levels of historical politics in modern Russia.

In the era of big data the interest in big data in humanities is growing (for example, in digital humanities). In Russia there is the Russian Museum State Catalogue that contains information about objects in Russian museums. The work is still in progress but it already contains information about more than 16 million objects. A lot of data fields are written in natural language and it makes data analysis almost impossible. Instruments of natural language processing (for example, named-entity recognition) help to process data and make it possible to analyse it. In this work we describe the processing of the date of creation, the place of creation, authors and used techniques. As an example of a research on processed data we describe different categories of objects from the perspective of place of origin and time of creation. The results meet expectations (well-known facts about history of art).

Massive open online courses (MOOCs) are increasingly popular among students of various ages and at universities around the world. The main aim of a MOOC is growth in students’ proficiency. That is why students, professors, and universities are interested in the accurate measurement of growth. Traditional psychometric approaches based on item response theory (IRT) assume that a student’s proficiency is constant over time, and therefore are not well suited for measuring growth. In this study we sought to go beyond this assumption, by (a) proposing to measure two components of growth in proficiency in MOOCs; (b) applying this idea in two dynamic extensions of the most common IRT model, the Rasch model; (c) illustrating these extensions through analyses of logged data from three MOOCs; and (d) checking the quality of the extensions using a cross-validation procedure. We found that proficiency grows both across whole courses and within learning objectives. In addition, our dynamic extensions fit the data better than does the original Rasch model, and both extensions performed well, with an average accuracy of .763 in predicting students’ responses from real MOOCs.

Popularity of online courses with open access and unlimited student participation, the so-called massive open online courses (MOOCs), has been growing intensively. Students, professors, and universities have an interest in accurate measures of students' proficiency in MOOCs. However, these measurements face several challenges: (a) assessments are dynamic: items can be added, removed or replaced by a course author at any time; (b) students may be allowed to make several attempts within one assessment; (c) assessments may include an insufficient number of items for accurate individual-level conclusions. Therefore, common psychometric models and techniques of Classical Test Theory (CTT) and Item Response Theory (IRT) do not serve perfectly to measure proficiency. In this study we try to cover this gap and propose cross-classification multilevel logistic extensions of the common IRT model, the Rasch model, aimed at improving the assessment of the student's proficiency by modeling the effect of attempts and by involving non-assessment data such as student's interaction with video lectures and practical tasks. We illustrate these extensions on the logged data from one MOOC and check the quality using a cross-validation procedure on three MOOCs. We found that (a) the performance changes over attempts depend on the student: whereas for some students performance ameliorates, for other students, the performance might deteriorate; (b) similarly, the change over attempts varies over items; (c) student's activity with video lectures and practical tasks are significant predictors of response correctness in a sense of higher activity leads to higher chances of a correct response; (d) overall accuracy of prediction of student's item responses using the extensions is 6% higher than using the traditional Rasch model. In sum, our results show that the approach is an improvement in assessment procedures in MOOCs and could serve as an additional source for accurate conclusions on student's proficiency.

This paper is devoted to the analysis of the MOOCs by the example of NRU HSE MOOCs on Coursera. It is assumed that the user’s behavior at the MOOCs depends on a number of factors, such as the name of the course , language, theme, etc. Thus, in this article we attempt to analyze the MOOCs and predict the profitability of an online course with certain parameters that allow to pre-determine and configure the parameters for creating a MOOCs demanded by the audience.

The article presents the results of research on validity of peer-review assignments in massive open online courses within the framework of classical test theory (CTT) and item response theory (IRT). CTT-based analysis yielded data on convergent validity of the peer-review assignment, the low level of its criterion validity, and rater disagreement. IRT-based analysis revealed rater bias and established that experts largely tend to be lenient and overrate their peers. The findings are used to discuss the advantages and disadvantages of the psychometric theories in question and the opportunities for combining the two.

The article is devoted to the analysis of the Durkheim’s “The Division of Labor in Society” in the case of the sociology of emotions. Social solidarity problem is one of the fundamental problems of sociology. There is an opinion that it is impossible to resolve the social solidarity problem excluding emotions. “The Division of Labor in Society” is one of the main works in the field of social solidarity. Durkheim considered and characterized types of social solidarity. But in contemporary science, the authors prefer “The Elementary Forms of the Religious Life” for the analysis. It makes an omission in the study of origins of the sociology of emotions and the role of emotions in maintaining social solidarity. Durkheim’s ideas have rethinking and reflection in the work of the contemporary sociologists of emotions. The article demonstrates current authors rely on their arguments on the Durkheim’s ideas. The aims of the paper are to identify background of the sociology of emotions in “The Division of Labor in Society”, to present how Durkheim determined the social nature of emotions, their role in the description of the social solidarity types, what types of emotions are involved in creating social ties from the position of Durkheim. With the help of Durkheim’s ideas, we can identify the outlines for solving the problem of social solidarity.        

We can make a conclusion that the role of emotion in the maintaining of social solidarity changes with the change of the social solidarity types in the Durkheim’s concept. Mechanical solidarity is based on common ideas, feelings; the individual is completely absorbed by the collective. Crimes arouse negative emotions such as anger, revenge, and shame, which are become instruments of protection. Sympathy exists only in the institutions of family and marriage. In opposition, organic solidarity is based on the division of social labor; the collective is replaced by the individual. As a result of changing social solidarity type, the positive emotions participate in its reproduction: altruism, sympathy, that going beyond the family and friendship and appearing in the labor relations, happiness. In the Durkheim’s concept emotions have to be common and collective for the reproduction of social solidarity. Kind of specific emotions doesn’t very important. Social solidarity can be destroyed by the loss of the collective nature of emotions. In conclusion, Durkheim’s ideas can be relevant for contemporary society and can be the basis for further development of the solution of the problem of social solidarity in the field of the sociology of emotions.

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.

The paper is devoted to the main aspects of using MOOCs as a part of university curriculum. HSE University has the expertise of implementation of blended learning using our own 53 MOOCs on Coursera and 27 MOOCs on Russian National Open Education Platform and courses of other universities. The emphasis will be on institutional decisions, organizational schemes and management solutions that allow to recognize MOOCs’ results and transfer them into university credits (ESTC).

This paper is devoted to the investigation of the problem of the information educational environment formation and the teaching process design in polycultural audiences in the information society. We consider various educational models and its elements, as well as ways of the educational process design, takin into consideration the specific national characteristics of all members of the educational audience.

To date, Russian cosplay community has thousand members from all over the country, and the word "cosplay" is widely used in media. Despite its prominence, cosplay remains a fan practice or, using Henry Jenkins’ term, participatory practice. In participatory culture (or cultures) fans not only consume media content but actively interpret it and make their own. This article attempts to restore the history of Russian cosplay – its development and its perception. Using media publications from newspapers and magazines that are not directly related to mass culture, we gain a view from outside the community and analyze different context of the usage of the word "cosplay". In sum, we try to answer the question if russian cosplay community and cosplay itself are stigmatized as a part of participatory culture or not.

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 educators 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 cross-cultural 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.

The paper describes the experience of development, validation and psychometric analysis of Russian as foreign language placement test (grammar and vocabulary part). The aim of the study was to measure the validity of the placement test, which was designed strictly according to the standards of Russian as a foreign language proficiency levels. During the psychometric analysis such parameters as difficulty, dimensionality, reliability and separation index were examined. As a result, the ways of improving test validity were suggested.