Russell is a senior lecturer in higher education/educational technology. His research is focused on the learning that takes place within the university setting. He is currently leading a research program that incorporates innovative topics and methods to explore, understand and change our conceptions and approaches to academic learning. He is a pioneer in the use of digital devices and sensors to capture naturally occurring behavioural data (Reality Mining). His current research is focused on the role of Information Communication Technologies (ICT) in the academic development of faculty and students.
Traditionally, student-focused research has concentrated on learning as a result of teaching, exploring the impact of teaching practices and the impact of instructional design models. However, much of a student’s time ‘at university’ is not actually spent in the classroom. Senorita’s research proposes that a more holistic perspective of the student experience (in both academic and non-academic realms) is needed to provide insights into the impact of educational expectations, and bring about change within the higher education environment. The aim of this research is to build a picture of the academic, social, psychological and behavioural aspects of undergraduate health science students at a research-intensive university in the hope of discovering new insights into student learning for the 21st century.
In education, engagement is considered critical to the enhanced student experience and ultimately learning outcomes. How are students engaging with different digital technologies? The increasing integration of digital technologies into education necessitates the exploration of how students engage with these technologies. This research utilises data mining approaches on digital traces to explore how students engage with different digital technologies (e.g. learning management system, social media, and lecture capture), and establish patterns of engagement with digital technologies useful to enhancing student learning experiences with technology.
An exploration of learning and performance in critical care simulation training through the use of data sensors.