Below are posts associated with the “inferential statistics” method.
A different experience in a different moment? Teachers’ social media use before and during the COVID-19 pandemic
Teachers participate in professional learning activities to enhance their pedagogical knowledge and share best practices—and the increasing role of technologies in education, including social media, is shifting how this professional learning occurs. The COVID-19 pandemic provided an opportunity to consider the role of social media for professional learning. Using intensive longitudinal methods, we repeatedly surveyed 14 teachers’ use of social media both before and during the pandemic (N = 386 total responses). We found patterns in social media platforms uptake and their purposes, but teachers’ use of social media was largely idiosyncratic. Also, teachers demonstrated notable shifts in social media use after the pandemic started; multilevel models indicated that teachers were more likely to use social media to connect and share, especially, as well as learn and follow, compared with before the pandemic. Higher levels of COVID-19-related family stress were also associated with more use of social media to find materials.
The influence of policy and context on teachers' social media use
Research on teachers’ use of social media has typically assumed that it is a) driven by a need for professional learning and b) best understood in terms of individual motivations. In this study, we use a dataset of nearly 600,000 tweets posted to one or more of 48 Regional Educational Twitter Hashtags associated with 44 U.S. states. To explore the influence of local contextual factors on hashtag- and account-level activity in these hashtags, we use an analytic approach heretofore uncommon in social media-focussed education research: generalised linear and multilevel modelling. At the hashtag level, higher numbers of teachers within a state, proportions of students receiving subsidised meals, student-to-teacher ratios, and amounts of state spending per child are associated with more activity within a regional hashtag; by contrast, more left-leaning state governments and citizenries are associated with less activity. At the account level, more experienced accounts and accounts in more right-leaning states contribute more tweets to these hashtags. These findings reinforce established understandings of Twitter as a site for teacher learning; however, they also underline the importance of acknowledging other important purposes of teachers’ Twitter use, including receiving emotional support and engaging in activism.
The fun of its parts: Design and player reception of educational board games
Although board, card, and other analog games can serve as useful educational technologies, little research exists to support teachers’ efforts in finding analog games that are pedagogically appropriate or likely to be well-received by their students. In this study, the authors retrieved data associated with 208 educational games from the crowdsourced website BoardGameGeek. They used this data to summarize players’ description of games into 15 themes, mechanics, and genres that can support teachers’ comparison and evaluation of analog educational games. They then analyzed how these design features influenced player reception of these games—as evidenced by game ratings on BoardGameGeek. To do this, they used two models: a hierarchical regression (features were nested within themes, mechanics, and genres categories) and a flat stepwise regression (features were all at the same level). Both analyses indicated that themes were parsimonious and significant predictors of game ratings, suggesting that the theme of an educational game may be an important consideration for teachers. The findings of this paper present helpful initial guidelines for teachers, teacher educators, and others interested in educational analog games; however, holistic evaluation of analog games and thorough consideration of their pedagogical potential are important.