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Психологические особенности безопасного поведения в сети Интернет студентов колледжа
In this paper, we developed a psychological model of digital competence including four components (knowledge, skills, motivation and responsibility) and four spheres (work with online content, communication, technical activity and consumption). The Digital Competence Index (DCI) is a 52-item instrument assessing an index and an entire profile of digital competence. In the Russian population study (1203 adolescents 12-17 years old and 1209 parents), acceptable reliability (.72-.90 for all of the scales, except motivation) of DCI was demonstrated. Confirmatory factor analysis supported the superiority of the four-component structure with the second-order index. Mean DCI was 34% of the maximally possible level in adolescents and 31% in parents, indicating the necessity for the educational programs in Russia. The motivation component was both the lowest and the least homogeneous factor, indicating that important special efforts to improve motivation to learn in Russian adolescents are needed.
Welcome to the 7th International Conference on Digital Health (www.acm-digitalhealth.org), supported by UCL Institute for Risk and Disaster Reduction and held in-cooperation with ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) in London, UK on 2-5 July, 2017.
Building on the growing success of previous editions (ehealth 2008 in London, 2009 in Istanbul, 2010 in Casablanca and ehealth 2011 in Malaga) and two editions of the International Workshop on Public Health in the Digital Age (1st PHDA 20113 and 2nd PHDA 2014), the 5th and 6th Digital Health conference was colocated with the World Wide Web conference in 2015 in Florence and in 2016 in Montreal. Digital Health has become a prime interdisciplinary international venue proudly bringing together frontline public health professionals, global health experts and computer science researchers in data mining, crowdsourcing and Big Data analysis for public health surveillance. Following the successful publication strategy, DH 2017 proceedings are included in the ACM Digital Library.
This year DH 2017 is a standalone event in London, sponsored by the UCL Institute for Risk and Disaster Reduction. The move has worked out superbly - DH 2017 attracted the highest number of paper submissions, ensuring growing scientific quality of the event and growing interest from NGOs, industry, start-up innovators and charitable sector. As we also expanded the remit to cover digital solutions for emergencies and humanitarian health, the seventh DH 2017 promises to deliver the highest quality and diversity programme since its foundation.
We are excited about the great keynotes in store this year, including Dr Oliver Morgan from the WHO who will deliver a talk on public health emergencies and data to save lives, Dr Tina Comes of the University of Delft speaking about designing Humanitarian Technology and Dr Paul Chong of IBM Watson discussing a joint project with Alder Hey Children's NHS Foundation Trust - the 'cognitive hospital'. Three strategic panels chaired by leading international experts in the domain will discuss the role of funding (chaired by Prof Michael Arthur, UCL provost), the future of digital imaging and microscopy (chaired by Dr Isaac Bogoch) and the role of data sharing for emergencies (chaired by Dr Michael Edelstein).
We have a great academic programme including 13 full papers, 18 short papers, 6 extended medical abstracts, 29 posters and 7 demonstrators, and 11 abstracts from PhD students - plus a confirmed line-up of industry and healthcare speakers. We have also introduced a bespoke session for the SME and start-up sector bringing world class innovators together to discuss the path to success, challenges and lessons learned to inspire the new generation of innovators. The Digital Health Innovation Award - offering recognition to companies in several categories - was launched in collaboration with the Digital Catapult, UK.
For more up-to-date information, 'follow' and 'like' DH 2017 on social media: Twitter: @digihealthconf (hashtag: #DH2017) Facebook: www.facebook.com/ACMDigitalHealth
The article deals with theoretical approaches describing the notion of digital literacy in Russian scientific publications. There is a high interest in the development of the idea of digital literacy in the world, which is manifested in the rapid growth of publications on this topic since 1997, the number of which by the end of 2018 was in the hundreds. In Russia, the first publications on digital literacy appeared in 2010. By the end of the third quarter of 2018, there were more than 200 publications in the Russian index of scientific citing (RISC) database with the keywords "digital literacy." The author identifies four basic approaches in consideration of digital literacy, found in the Russian-language scientific literature, which differ conceptually from each other, namely: info communication-technological (ICT-approach), psychologicalpedagogical approach, media-information literacy approach and "industrial" approach. The selected areas were understood within the framework of the generalized approach, which is presented in the "Four-component model of digital literacy," proposed by the author of this article in 2015.
The paper analyzes the dynamics of the Internet penetration in Russia during the period between 2003 and 2015, both in the general population and in the context of various socio-demographic groups. We apply CHAID and hierarchical cluster analysis to determine socio-demographic groups with the highest level of the Internet penetration and the most common patterns of the Internet use. In general, the proportion of the Russian population getting access to the World Wide Web dramatically increased over the period between 2003 and 2015. Teenagers and young people with a university diploma or a college degree, who lived in urban areas, along with adults with a university diploma were the most likely to use the Internet. Those who used PC for browsing the Web either did it for work-related purposes or appeared to be reluctant Internet-users. Those who opted for laptops, tablets or mobile phones went online for multiple purposes and those who logged on the Internet exclusively for recreational purposes had no preferences for a particular type of an electronic device.
In this paper, based on the psychological model of consequences of info-communicational technology use [1] we study the role of two factors – change in needs (the need for development of image making by technology, the need for convenience and functionality) and transformation of psychological boundaries (subjective extension and subjective violation) – in the excessive use of technologies in the normative population (N=254, 17-77 years old). Specifically, we focus on the use of two gadgets (mobile phones and computers) – and one technology (the Internet). Hierarchical regressions were used to predict the two aspects of the excessive use – subjective feeling of dependence and subjective readiness of refusing from technologies. There were different patterns of correlations between age, gender and excessive use for mobiles, the Internet and computer. Frequency of use was unrelated to the excessive use. Psychological factors significantly improved all the models explaining 10-22 percent of the variance in subjective dependence, and 6-25 percent of the variance in readiness of refusing. Both technology-related changes in needs (especially need for “cool”, stylish or expensive gadgets) and psychological boundaries extension affect the excessive use of technologies although the contribution of each factor depends on technology in question. Data allows suggesting possible psychological mechanisms participating in the development of the excessive use of technologies.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traffic is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the final node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a finite-dimensional system of differential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of differential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
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
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.