Rapid growth over the past two decades in digitized textual information represents untapped
potential for methodological innovations in the adaptation governance literature that draw on …

Text data is important for many domains, from healthcare to marketing to the digital
humanities, but specialized approaches are necessary to create features for machine …

Assessing students' participation in science practices presents several challenges,
especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this …

Während der durch die Corona-Pandemie bedingten Schulschließungen im März 2020
führten viele Schulen Fernunterricht ein, der häufig ohne wirkliche Vorbereitung als digitaler …

Although trust within the entrepreneurial team is critical for its success, we have limited
insights into the antecedents of a founder's trust in the team. Taking a social information …

Topic models are mathematical and statistical models used to analyze textual data. The
objective of topic models is to gain information about the latent semantic space of a set of …

Background The aim of the How Farm Vets Cope project was to co-design, with farm
veterinary surgeons, a set of web-based resources to help them and others deal with the …

The current study aimed to explore the public understanding of COVID-19 vaccines and the
social representations emerging from a corpus of user-generated comments on YouTube …

We address the concern that classification of English learners (ELs) primarily based on
standardized tests does not accurately reflect what students know and can do with English …

Due to the COVID-19 pandemic, many immigrants found themselves in extremely unstable
situations. The recent contributions show that employment decline in the first several months …