In the age of rapid technological advancements, the integration of Artificial Intelligence (AI), machine learning (ML), and large language models (LLMs) in Science, Technology, Engineering, and Mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. "Uses of AI in STEM…

This volume focuses on the implications of digital technologies for educators and educational decision makers that are not widely represented in the literature. The chapters contained in the volume are based on the presentations at the 2020 edition of the CELDA conference and cover multiple developments in the field such as deploying learning…

We are moving toward a future in which digital practices are becoming more ubiquitous. Also, there is evidence to suggest that innovative digital practices are changing the face of 21st-century learning environments. Critical to 21st-century teaching and learning success is continued emphasis on learner preferences, shaped by innovative digital…

This edited collection presents a selection of contributions made to the 12th eLearning symposium, held at the University of Southampton, in January 2019. It focuses on how innovative and creative language teaching approaches can respond to modern, ever-transforming educational landscapes. The contributors are educators from higher education…

Involving two or more academic subjects, interdisciplinary studies aim to blend together broad perspectives, knowledge, skills, and epistemology in an educational setting. By focusing on topics or questions too broad for a single discipline to cover, these studies strive to draw connections between seemingly different fields. Cases on…