Purpose -This paper aims to present an overview of how libraries are using Twitter in an academic setting. Design/methodology/approach -This study analyzed the current state of 296 Twitter accounts from a random sample of academic libraries. A total of 19 different criteria were explored, with an emphasis on the following three categories: layout and design, content and number of tweets, and account followers. Findings -Only 34 per cent of libraries in the study had a Twitter account and characteristics varied widely among libraries, however it is evident that it is possible to successfully communicate with patrons via Twitter. Research limitations/implications -A primary limitation for this study is the frequency with which Twitter can change. Practical implications -This paper provides a snapshot of how libraries are currently using Twitter, which can be of assistance to libraries seeking to implement a Twitter presence. Originality/value -The paper presents an overview of trends in academic library Twitter accounts, which could be useful to librarians who are considering launching a Twitter account for their library.
Objective: Existing studies estimate that between 0.3% and 2% of adults in the U.S. (between 900,000 and 2.6 million in 2020) identify as a nonbinary gender or otherwise gender nonconforming. In response to the RDAP 2021 theme of radical change, this article examines the need to change how datasets represent nonbinary persons and how research involving gender data should approach the curation of this data at each stage of the research lifecycle. Methods: In this article, we examine some of the known challenges of gender inclusion in datasets and summarize some solutions underway. Using a critical lens, we examine the difference between current practice and inclusive practice in gender representation, describing inclusive practices at each stage of the research lifecycle from writing a data management plan to sharing data. Results: Data structures that limit gender to “male” and “female” or ontological structures that use mapping to collapse gender demographics to binary values exclude nonbinary and gender diverse populations. Some data collection instruments attempt inclusivity by adding the gender category of “other,” but using the “other” gender category labels nonbinary persons as intrinsically alien. Inclusive change must go farther, to move from alienation to inclusive categories. We describe several techniques for inclusively representing gender in data, from the data management planning stage, to collecting data, cleaning data, and sharing data. To facilitate better sharing of gender data, repositories must also allow mapping that includes nonbinary genders explicitly and allow for ontological mapping for long-term representation of diverse gender identities. Conclusions: A good practice during research design is to consider two levels of critique in the data collection plan. First, consider the research question at hand and remove unnecessary gendering from the data. Secondly, if the research question needs gender, make sure to include nonbinary genders explicitly. Allies must take on this problem without leaving it to those who are most affected by it. Further, more voices calling for inclusionary practices surrounding data rises to a crescendo that cannot be ignored.
Virtual internships have the potential to offer the same benefits as in-person internships such as technical skill development, knowledge application, and communication skills. However, these experiences are usually pre-planned, designed and evaluated to ensure the pedagogical framework is retained. The COVID-19 pandemic saw a rise in online teaching, online community engagement efforts, and online career development efforts, such as internships, without the benefit of planned, designed virtual experiences. This study aims to show the early mixed-methods survey results from shifting an internship program within a Liberal Arts college to fully online during COVID-19. Results identified and highlighted some struggles students faced, yet showed that, despite COVID-19, students still found value in their internship experiences regardless of them being moved online.
The current study was designed to examine the relationship between cognitive ability and player experience in shaping how players think within, and acclimate to, video games as complex systems. Specifically, researchers examined the relationship between player's cognitive ability and gameplay outcomes within a video game (i.e., The Deed). Outcomes were evaluated and contrasted after two discrete playthroughs, each lasting approximately 30 minutes. Logistic regression indicated that cognitive ability predicted individual outcomes for both the first and second playthrough, but did not predict growth between playthroughs (i.e., outcome change). Findings are then discussed in terms of an acclimation stage.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.