Digital Economy and Digital Logistics as New Area of Study in Higher Education
Among innovative e-learning approaches in the sphere of digital economy and logistics, there is a special focus on artificial intelligence technologies (AI), which, due to their capacity and efficiency in usage, have a significant potential for the development and to some extent are optimal IT tools. The objective of a study is to define an optimum IT software for the organization of massive open online courses (MOOC) in digital economy and digital logistics in the framework of training economics students. Authors have conducted a survey in terms of In-ternet use for education and self-education. The sampling volume makes up 1 600 respondents in at least 80 regions of the Russian Federation. The respondents are divided into four age groups: 18-24 years old, 25-39 years old, 40-54 years old, 55 years old and older. The study uses data from the survey conducted by KMDA.PRO related to digital transformation of 700 representatives from more than 300 Russian companies out of 15 industries and the results of in-depth in-terviews of four categories of employees: top managers, heads of units, mid-level managers and other employees. The study results testify to the need for trans-forming e-learning approaches, taking into account the new labor market re-quirements for training specialists in digital logistics and gaining respective skills such as an active training, coordination, negotiation skills, teaching others, infor-mation literacy, customer focus, oral communication, ability to solve complex is-sues, operational literacy, time management. The use of the research results in practice is possible in case of the organization of online training courses for eco-nomics students in the framework of the higher educational system
The article describes the use of a number of alternative blended learning models based on a mixture of traditional face-to-face classes with some elements of e-learning in the course of “English for Academic Purposes” (EAP) and “English for Specific Academic Purposes” (ESAP) taught to junior and senior undergraduate students of computer sciences in the undergraduate program of Business Informatics and Software Engineering over a period of time from 2009 to 2012 at the National Research University Higher School of Economics (NRU HSE), Moscow, Russia
The National Research University The Higher School of Economics, Nizhny Novgorod, Nizhny Novgorod, Russia Submitted: Oct 28, 2013; Accepted: Dec 17, 2013; Published: Dec 20, 2013 Abstract: E-learning is a complex process of creating an educational space for people to share knowledge and acquire skills via new informational technologies. The purpose of this paper is to present the results of the research in the field of e-learning based on Learning Management System. It has become particularly acute in the era of information society when evolution, advancement and the results of information communication technologies integration continue to spread at a record pace. The paper proposes the idea that Learning Management System can be an effective tool of e-learning collaboration that increases ICT competence of all the parties involved. The description of the Learning Management System program, project outcomes are presented in the paper.
The article discusses the factors supporting the improvement of the quality of educational services through the effective use in the educational process of the university of technology to support e-Learning and digital content.
The paper presents a model of continuous profession-oriented learning in the electronic environment at organizational, technological and learning levels. The learning level involves the application of modern technologies in e-pedagogies. The educational process is being built on the bases of iterative analysis, competence assessment and individual trajectories of learning. The organizational level implies the formation of integrated knowledge space which unites community of teachers from various higher educational institutions, research organizations and business enterprises within the system of academic knowledge management. At the technological level the members and partners of the integrated knowledge space are provided with appropriate instruments within the framework of social networks to develop educational and methodological materials, to search, to capture, to accumulate and to systematize knowledge with respect to the competence model’s requirements based on ontology method. The model aims at developing the methodology for creating and maintaining the intelligence systems to generate comprehensive competences. It enables the education institutions to effectively solve the problem of enhancing the education quality and assurance to meet the requirements of the business innovative development in knowledge society.
This book contains the proceedings of the 4th International Conference on Computer Supported Education (CSEDU 2012) which was organized and sponsored by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and technically co-sponsored by SPEE (Portuguese Society for Engineering Education), IGIP (International Society for Engineering Education), ROLE (Responsive Open Learning Environments) and IFIP TC3 (International Federation for Information Processing - Technical Committee 3 - ICT and Education).
CSEDU has become an annual meeting place for presenting and discussing learning paradigms, best practices and case studies that concern innovative computer-supported learning strategies, institutional policies on technology-enhanced learning including learning from distance, supported by technology. The Web is currently a preferred medium for distance learning and the learning practice in this context is usually referred to as e-learning or technology-enhanced learning. CSEDU 2012 is expected to give an overview of the state of the art in technology-enhanced learning and to also outline upcoming trends and promote discussions about the education potential of new learning technologies in the academic and corporate world.
This conference brings together researchers and practitioners interested in methodologies and applications related to the education field. It has five main topic areas, covering different aspects of Computer Supported Education, including "Information Technologies Supporting Learning", "Learning/Teaching Methodologies and Assessment", "Social Context and Learning Environments", "Domain Applications and Case Studies" and "Ubiquitous Learning". We believe the proceedings, demonstrate new and innovative solutions, and highlight technical problems in each field that are challenging and worthwhile.
CSEDU 2012 received 243 paper submissions from 58 countries in all continents. A double-blind review process was enforced, with the help of the 297 experts who are members of the conference program committee, all of them internationally recognized in one of the main conference topic areas. Only 29 papers were selected to be published and presented as full papers, i.e. completed work (10 pages in proceedings / 30' oral presentations). 73 papers, describing work-in-progress, were selected as short papers for 20' oral presentation. Furthermore 37 papers were presented as posters. The full-paper acceptance ratio was thus 12%, and the total oral paper acceptance ratio was less than 42%. These ratios denote a high level of quality, which we intend to maintain and reinforce in the next edition of this conference.
The high quality of the CSEDU 2012 programme is enhanced by three keynote lectures, delivered by distinguished guests who are renowned experts in their fields, including (alphabetically): Joseph Trimmer (Ball State University, United States), David Kaufman (Simon Fraser University, Canada) and Hugh Davis (University of Southampton, United Kingdom).
For the fourth edition of the conference we extended and ensured appropriate indexing of the proceedings of CSEDU including DBLP, INSPEC, EI and Thomson Reuters Conference Proceedings Citation Index. Besides the proceedings edited by SciTePress, a short list of papers presented at the conference will be selected for publication of extended and revised versions in the Journal of Education and Information Technologies. Furthermore, all presented papers will soon be available at the SciTePress digital library.
The conference is complemented with two special sessions, focusing on specialized aspects of computer supported education; namely, a Special Session on Enhancing Student Engagement in e-Learning (ESEeL 2012) and a Special Session on Serious Games on Computer Science Learning (SGoCSL 2012).
Building an interesting and successful program for the conference required the dedicated effort of many people. Firstly, we must thank the authors, whose research and development efforts are recorded here. Secondly, we thank the members of the program committee and additional reviewers for their diligence and expert reviewing. We also wish to include here a word of appreciation for the excellent organization provided by the conference secretariat, from INSTICC, who have smoothly and efficiently prepared the most appropriate environment for a productive meeting and scientific networking. Last but not least, we thank the invited speakers for their invaluable contribution and for taking the time to synthesize and deliver their talks.
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