The empirical literature regarding the nature and outcomes of inservice learning
opportunities for mainstream teachers of ELLs reveals that such opportunities give primary …

Data science is an inter-disciplinary field that uses computer-based algorithms and methods
to gain insights from large and often complex datasets. Data science, which includes …

There is a long record of research on equity in schools. As machine learning researchers
begin to study fairness and bias in earnest, language technologies in education have an …

An important way to address the literacy needs of English learners (ELs) is to ensure that
ELs receive evidence-based literacy instruction and intervention. To support teachers' …

This AERA Open special topic concerns the large emerging research area of education data
science (EDS). In a narrow sense, EDS applies statistics and computational techniques to …

NLP is an interpersonal communications model based on the belief that language is strongly
inter-connected with neurological processes and behavioral patterns adopted through …

Ever since Indonesia adopted English as its foreign language in 1945 to be taught in
schools, some changes have been made to achieve the national goal of learning the …

This research aims to evaluate the impact of education decentralization through the local
curriculum in improving senior secondary school students' vocational and economic skills …

A majority of students at the local University College of Science and Education (UCSE,
pseudonym) in Jamaica do not have the conceptual understanding of mathematical …

In this interview study, the authors examined the process of coaching in the context of a year-
long professional development initiative designed to support teachers' expertise in …