Studiosity correlates with reduced attrition
Lower-performing students improved fastest.
Lower-performing students improved fastest.
Independent research from Dr Rebecca Mace, drawing on data generated by a mix of high, middle and low-tariff UK universities, suggests a compelling, positive correlation between the use of ethically embedded 'AI for Learning' tools and student retention, academic skill development, and confidence.
1. Forewords by Professor Rebecca Bunting and Nick Hillman, OBE
2. Executive Summary
3. Introduction
4. Rationale
5. Aims of the project
6. Results
7. Discussion
8. Conclusions and recommendations
Dr Mace, SFHEA, is an independent researcher and Course Lead in Education at the University of Worcester. She specialises in the impact of technology on education, with a particular focus on its social and emotional effects and the ethical integration of AI in higher education. Her work examines how generative AI can enhance learning while protecting academic integrity and promoting equity. Drawing on extensive research and sector-wide engagement, she advocates for transparent, dialogic approaches to AI adoption that empower both students and educators. Rebecca’s recent study highlights the transformative potential of AI-for-Learning tools, as well as the risks of a widening digital divide, offering practical recommendations to inform policy and practice.