Evaluating Remote Task Assignment of an Online Engineering Module through Data Mining in a Virtual Communication Platform Environment

E-learning has traditionally emphasised educational resources, web access, student participation, and social interaction. Novel virtual spaces, e-lectures, and digital laboratories have been developed with synchronous or asynchronous practices throughout the migration from face-to-face teaching modes to remote teaching during the pandemic restrictions. This research paper presents a case study concerning the evaluation of the online task assignment of students, using MS Teams as an electronic platform. MS Teams was evaluated to determine whether this communication platform for online lecture delivery and tasks’ assessments could be used to avoid potential problems caused during the teaching process. Students’ data were collected, and after filtering out significant information from the online questionnaires, a statistical analysis, containing a correlation and a reliability analysis, was conducted. The substantial impact of 37 variables was revealed. Cronbach’s alpha coefficient calculation revealed that 89% of the survey questions represented internally consistent and reliable variables, and for the sampling adequacy measure, Bartlett’s test was calculated at 0.816. On the basis of students’ diligence, interaction abilities, and knowledge embedding, two groups of learners were differentiated. The findings of this study shed light on the special features of fully online teaching specifically in terms of improving assessment through digital tools and merit further investigation in virtual and blended teaching spaces, with the goal of extracting outputs that will benefit the educational community.

Image Search System Based on Machine Learning

Since the 21st century, with the continuous maturity of network technology and its integration with the education field, traditional face-to-face communication has gradually expanded to the virtual network environment. In the online learning environment, students can use the online platform to communicate directly with teachers, no longer limited by time and region. The time and space breakthrough of teacher-student interaction has brought development opportunities for teachers to constantly contact students with a long-term management mechanism. Based on this situation, this article uses artificial intelligence technology to build a network communication platform. This article first analyzes the application status of artificial intelligence technology in the network communication platform, and then introduces the artificial intelligence technology applied in this article. Then, this article uses artificial intelligence technology to design a network communication platform, and test the function and performance of the platform. The test results show that the function of the system is very accurate and reliable, and the performance of the system is sufficient to support nearly 10,000 users at the same time.

The Use of Information Technology in the Construction of a Nursing Communication Platform System

In order to effectively connect patient care information and reduce the amount of administrative work, a nursing care communication platform can effectively achieve 1. Real-time display of patient information while protecting patient privacy; 2. Integration of hospital information system, with individualized medical care team information; 3. Accurate and timely delivery of need for patient report; 4. Increase of interaction between the patient’s family and staff and breakthrough from the limit of paper-based health education information.

Rehabilitation care planning on a digital communication platform for patients with a work disability: protocol for the RehaPro-SERVE feasibility study

Background Long-term disability to work is a risk factor for a permanent reduction in income. Rehabilitation care can support people to return to work. In Germany, rehabilitation care to return to work is mostly provided in specialised clinics. The aim of the Rehapro-SERVE study is to reduce work disability days by facilitating rehabilitation care planning using a digital communication platform. To investigate the feasibility, we will test the implementation of the digital platform and evaluate the study procedures. The Rehapro-SERVE study is funded by the German Federal Ministry of Labour and Social Affairs (BMAS) (grant number: 661R0053K1). Method The feasibility study includes a two-armed unblinded block randomised controlled study (RCT) without follow-up assessments as well as an interview study. Participants for the RCT (n = 16) are primary care patients with a minimum of 4 weeks of absence from work due to musculoskeletal, oncological or psychological conditions and at high risk of early retirement. Eligibility criteria are age 40 to 60 years; minimum of 4 weeks continuous sick leave before recruitment due to musculoskeletal, mental health or oncological conditions; and being at high risk of early retirement. Patients will be recruited from 8 primary care practices in urban and rural areas in Hesse, Germany. Following baseline assessments, patients will be randomised to either digitalised care planning (treatment) or a control group. The digitalised care planning platform will include the patients’ primary care physicians, jobcentres and public health physicians to decide on a tailored return-to-work programme. The collaboration will be supported by a case administrator and, if considered beneficial, a social worker for the patient. An interview study will evaluate the acceptability of the study procedures and the intervention. Discussion The use of a digital communication platform enables stakeholders to exchange information and discuss rehabilitation care planning in a timely fashion. The results of the feasibility study will lead to the adaptation of study procedures for the main study. The results will support the design and conduct of similar studies including digital applications in primary care or across different healthcare settings. Trial registration DRKS- German Clinical Trials Register, DRKS00024207. Registered on 22 March 2021

Development of a text analysis agent for a logistics company's Q&A system

The "Twin" system is an omnichannel communication platform for building voice and chatbots, capable, in particular, of receiving data in one language and transmitting in another. "Twin" can record voice and text, display detailed statistics and analytics for each call or dialog. In this article, using the Twin system, a chatbot was created for the field of cargo transportation, it describes its advantages and disadvantages and the principle of creating of such chatbots.

Information-Communication Platform of Library as a Tool for Formation of the Knowledge Space

The article discusses the issues of popularization of scientific knowledge on the basis of public libraries. The author substantiates the importance of library and information institutions in the process of spreading scientific knowledge among wider population. The article considers the problematic aspects and tasks of libraries in the direction of improving the scientific literacy of users.The author characterizes the project “Information-Communication Platform for the popularization of Science”, developed by specialists of the Mikhail Lermontov Interdistrict Centralized Library System (St. Petersburg), which covers a wide range of scientific areas providing a general overview of topics and more specific information for those who wish to obtain in-depth sight into a particular subject area. Special attention is paid to the organizational issues of the implementation of platform: the purpose of creation, the target audience, the basic principles, the main objectives of the project. The article considers the forms of mutually beneficial cooperation in the popularization of scientific knowledge within the framework of the project with partner organizations. The author describes the requirements for the operation of interface. The platform contains three major types of information resources: documentary full-text data bases, bibliographic resources and media resources. The platform anticipates interactive communication of library users — students and representatives of pedagogical community — with well-known scientists for discussing technical developments and achievements of humankind with particular attention to subjects of current interest: pandemic, coronavirus, vaccination. The information-communication platform allows monitoring the interest of young people in various scientific areas. Participation in the project motivates young people to scientific activity, which is one of the basic factors of reproduction of scientific personnel potential.