Artificial Intelligence (AI) literacy has recently emerged on the educational agenda raising
expectations on teachers' and teacher educators' professional knowledge. This scoping …

Despite the plethora of studies reported during the last decade in relation to educational
innovation in teaching and assessment of competencies, a consensus is seemingly lacking …

This study investigates university teachers' relationships with emerging technologies by
focusing on the uptake of artificial intelligence in higher education practices. We utilise an …

Este trabajo identifica cinco grandes ámbitos de desarrollo en torno a los cuales se articulan
algunos de los retos más importantes que enfrentan los modelos emergentes de …

Generative models are now capable of producing natural language text that is, in some
cases, comparable in quality to the text produced by people. In the computing education …

Ethical considerations, including transparency, play an important role when using artificial
intelligence (AI) in education. Explainable AI has been coined as a solution to provide more …

Background: Artificial intelligence (AI) applications have been implemented across all levels
of education, with the rapid developments of chatbots and AI language models, like …

There is a huge and growing amount of data that is already captured in the many, diverse
digital tools that support learning. Additionally, learning data is often inaccessible to …

This paper suggests that artificial intelligence in education (AIEd) can be fruitfully analysed
as 'policies frozen in silicon'. This means that they exist as both materialised and proposed …

Learning analytics has the capacity to provide potential benefit to a wide range of
stakeholders within a range of educational contexts. It can provide prompt support to …