Rich is currently pursuing a PhD, conducting a longitudinal study that explores the interrelationships between academic self-efficacy, socialisation, and academic success among international students at the University of Chester. His research employs a mixed-methods approach, combining quantitative data (e.g., Likert Scale questionnaires analysed using Pearson’s Correlation Coefficient) with qualitative insights from focus groups. The study aims to identify potential correlations between these factors and inform interventions to enhance the academic outcomes of international students.

In parallel, Rich is leading a Generative AI (Gen AI) project designed to reduce participant attrition rates in research studies through the use of novel Gen AI software. This project reflects his broader interest in the transformative potential of AI in higher education.

Previously, Rich has engaged with Legitimation Code Theory (LCT), which he has applied to develop innovative approaches to teaching academic writing, particularly essay structures. LCT has also informed his exploration of unconscious bias and knowledge blindness in higher education curricula. While his current focus on PhD research and Gen AI has temporarily limited his work in this area, he remains committed to advancing its application in academic practice.