Investigating Stakeholder Requirements for Designing an Effective Online Research Community Platform

Online research communities offer collaborative environments where organizations can interact with consumers in real-time to gain insights, build innovation projects, and access relevant audiences passionate about providing impactful responses. This research paper aims to uncover key insights from stakeholders for designing an online research community platform. To achieve this objective, the study conducted research among relevant stakeholders, including market research agencies, advertising agencies, professional associations, researchers, private marketing specialists, and future members/participants in the online community as respondents in the studies conducted. The specific objectives were to identify stakeholders' needs for tools and technical solutions to design an online research community platform, pinpoint specific needs for online communities, and identify desired functionalities regarding the online community platform. The ideal online community platform should offer various functionalities to cater to different users' needs. The platform must be user-friendly, with intuitive and easy-to-understand features for users at different experience levels. A pleasing visual design that is simple and airy with clear identification of each button/element on the page is necessary to create a perfect environment for interaction with participants. Overall, the findings from this research study provide valuable insights into stakeholders' needs for an online research community platform. By identifying these needs and desired functionalities, the study guides the development of an effective and user-friendly online research community platform that can compete with foreign platforms, bring together research agencies, interested brands/companies, and members-consumers, whose input is valuable and crucial in today's business world

Migrating to GraphQL: A Practical Assessment

GraphQL is a novel query language proposed by Facebook to implement Web-based APIs. In this paper, we present a practical study on migrating API clients to this new technology. First, we conduct a grey literature review to gain an in-depth understanding on the benefits and key characteristics normally associated to GraphQL by practitioners. After that, we assess such benefits in practice, by migrating seven systems to use GraphQL, instead of standard REST-based APIs. As our key result, we show that GraphQL can reduce the size of the JSON documents returned by REST APIs in 94% (in number of fields) and in 99% (in number of bytes), both median results.Comment: 11 pages. Accepted at 26th International Conference on Software Analysis, Evolution and Reengineerin

Dynamics of students’ opinions in the context of the transition to online learning based on social network data

В статье представлены результаты анализа настроений пользователей в социальных сетях, выполненного с применением инструментария больших данных. Цель проведённого авторами исследования – разработка и верификация методики, позволяющей на основе анализа контента социальных сетей инструментами Big Data оценить настроения студенческого сообщества, связанные с переходом на дистанционное обучение в условиях пандемии, выявить динамику и основные тенденции в оценке удовлетворённости студентов качеством образовательного процесса. Показано, что основная проблема, влияющая на качество образования, – это изменение механизмов взаимодействия студентов с преподавателями. На материале студенческих публикаций в социальных сетях выявлены стратегии адаптации студентов к онлайн-обучению. Рассмотрены способы улучшения взаимодействия между обучаемыми, а также обучаемых с преподавателями

Dynamics of Students’ Opinions in the Context of the Transition to Online Learning Based on Social Network Data

The article presents the results of the analysis of users’ sentiment in social networks, performed using big data tools. The research was aimed at developing the methodology, which enables to analyze the content of social networks, assess students’ attitude to the transition to online learning in conditions of COVID-19 pandemic, identify dynamics and main trends in student satisfaction with the quality of educational process. We explored about 2 million posts and comments posted in university social networks (more than 1000 university public pages) for the period from Sept 2020 to July 2021. Special attention was paid to the problems of communication between students and teachers, strategies to solve them, an emotional reaction. PolyAnalyst software was applied for data precleaning. It has been found that the main problem affecting the quality of education is a change in the mechanisms of interaction between students and teachers. Based on student publications in social networks, we have identified the strategies for adapting students to online learning. We came to a conclusion that teachers’ support of students is crucial in preventing and solving social and academic problems in conditions of online learning. One of the ways to improve interaction between students and teachers, raise students’ involvement is using discussion forums, chats in messengers for academic purposes, and providing teachers’ methodical support

Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions

Recently, GitHub introduced a new social feature, named reactions, which are "pictorial characters" similar to emoji symbols widely used nowadays in text-based communications. Particularly, GitHub users can use a pre-defined set of such symbols to react to issues and pull requests. However, little is known about the real usage and impact of GitHub reactions. In this paper, we analyze the reactions provided by developers to more than 2.5 million issues and 9.7 million issue comments, in order to answer an extensive list of nine research questions about the usage and adoption of reactions. We show that reactions are being increasingly used by open source developers. Moreover, we also found that issues with reactions usually take more time to be handled and have longer discussions.Comment: 10 page

Building Community Consensus for Scientific Metadata with YAMZ

ABSTRACTThis paper reports on a demonstration of YAMZ (Yet Another Metadata Zoo) as a mechanism for building community consensus around metadata terms. The demonstration is motivated by the complexity of the metadata standards environment and the need for more user-friendly approaches for researchers to achieve vocabulary consensus. The paper reviews a series of metadata standardization challenges, explores crowdsourcing factors that offer possible solutions, and introduces the YAMZ system. A YAMZ demonstration is presented with members of the Toberer materials science laboratory at the Colorado School of Mines, where there is a need to confirm and maintain a shared understanding for the vocabulary supporting research documentation, data management, and their larger metadata infrastructure. The demonstration involves three key steps: 1) Sampling terms for the demonstration, 2) Engaging graduate student researchers in the demonstration, and 3) Reflecting on the demonstration. The results of these steps, including examples of the dialog provenance among lab members and voting, show the ease with YAMZ can facilitate building metadata vocabulary consensus. The conclusion discusses implications and highlights next steps