We consider the question of whether home language concentration among English learners, i.e. segregating English learners by home languages across schools, helps or hinders the acquisition of English. The sign of this effect is theoretically unclear, since there are at least two competing...

Blended learning is a combination of online integration and face-to-face learning that complement one another to enhance and support learning. It is widely used across disciplines and in the EFL classroom as well. This paper aims to outline the significance of using a blended learning approach...

This study investigates distance learning of English as a second language in primary and secondary schools in the Republic of N. Macedonia during the COVID-19 pandemic, which started in March 2020 when the government of our country, like everywhere else, decided to close the schools in order to...

Canada is a country with two official languages, French and English. The need for both languages in Quebec and the Rest-of-Canada (ROC) generates a demand for bilingualism and investment in the acquisition of a second official language. Knowledge of an additional language may be associated with...

We use Woodcock Johnson III child assessment data in the New Immigrant Survey to examine language assimilation and test score bias among children of Hispanic immigrants. Our identification strategy exploits the test language randomization (Spanish or English) to quantitatively measure the degree...

This paper investigates the empirical relationship between language structures and prevalent tax avoidance practices, specifically focusing on the influence of linguistic future time reference (FTR) on conforming tax avoidance. It also explores how corruption and public governance modulate this...

Purpose Explore the use of Gender-Fair Language (GFL) by influencers on Instagram. Design/methodology/approach The clustering methodology. A digital Bag-of-Words (BoW) Method called GFL Clustering BoW Methodology to identify whether an inclusive marketing (IM) strategy can be used. Thus, this...

Central bank communications are an important tool for guiding the economy and fulfilling monetary policy goals. Natural language processing (NLP) algorithms have been used to analyze central bank communications. These outdated bag-of-words methods often ignore context and cannot distinguish who...