This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.

Article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in Whyville, an online game environment with 8 million registered young learners. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth.

Article exploring how information and knowledge are absorbed by utilizing Constructor Theory and the Substrate-Independence Theory.

This paper explores the role of Historically Black College and University (HBCU) archives in preserving the history and cultural heritage of these institutions and investigates the factors that contribute to the disparities observed in the availability of digital collections and the staffing of archivists across HBCUs in the United States. Data was collected from 102 HBCU websites and the National Center for Education Statistics, and analyzed using descriptive statistics, chi-square tests, and ordinary linear regression. The findings revealed notable disparities in the staffing of archivists and the presence of digital archive collections, with geography, enrollment, and endowment emerging as potentially significant factors. The study highlights the importance of understanding key factors in the availability of digital archive collections and the staffing of archivists at HBCUs.

Article describes how, the goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner’s motivation. This research proposes an intentional model that adopts Map formalism to support personalized learning guidance by considering learner’s motivation.