Classroom dialogue is crucial for effective teaching and learning, prompting many professional development (PD) programs to focus on dialogic pedagogy. Traditionally, these programs rely on manual analysis of classroom practices, which limits timely feedback to teachers. To address this, artificial intelligence (AI) has been employed for rapid…

Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…

This article explores the localisation of the global and European discourse of educational governance in the Greek education system through the changes that have been introduced in the field of education administration since 2009 by the then socialist government. Our research aims to contribute to the critical policy literature on the spreading…

Reports results of a study that was designed to empirically verify a system dynamics model that represents the relationship between dialog and structure as they relate to transactional distance and distance education. Topics discussed include discourse analysis; other variables relating to transactional distance; developing a prototype; and future…

This study of social capital employs data from the Longitudinal Study of Adult Learning (LSAL), funded by the National Center for the Study of Adult Learning and Literacy (NCSALL) and conducted at Portland State University to increase understanding of the learning process of adults with limited formal education. It provides longitudinal data on…