Marios is a Senior Lecturer within the University of Bristol Business School and was recently nominted by the Univeristy to apply for the Advance HE, National Teaching Fellowship scheme in 2026.
I am a decision scientist, with a PhD in Management Science focused on optimisation and Data Envelopment Analysis. Since joining the University of Bristol, my academic work has increasingly integrated analytics with pedagogy, aiming to improve student engagement, learning quality and graduate outcomes. I currently teach and lead across undergraduate and postgraduate programmes in Business Analytics and Management, and I have directed multiple units with consistently high student feedback and strong participation. My teaching emphasises authentic, practice-based assessment and systematic formative feedback, supported by clear learning design and constructive alignment.
Over the past five years, I have introduced and evaluated a set of innovations that have had measurable benefits for students. These include the deployment of AI course chatbots to provide timely guidance and reduce administrative friction; the adoption of Team-Based Learning at scale to develop teamwork, judgement and knowledge retention; and the use of structured rubrics, peer review and staged feedback to make assessment more transparent. Alongside this, I have strengthened links with industry (e.g., guest experts, live projects and skills workshops) so that students can apply methods to real problems and evidence their employability.
My commitment to student support is equally important. As a senior/personal tutor I have helped students navigate academic and wellbeing challenges through proactive signposting and clear action plans. This pastoral focus has informed changes to induction, advising and extensions processes in my area.
The recognition I have received with university and faculty teaching awards, multiple nominations, and positive external feedback, reflects the impact of this combined academic, pedagogic and pastoral approach. A number of my supervisees have gone on to publish their dissertation work or win recognition for applied projects, and alumni frequently cite the value of authentic tasks and targeted feedback in transitioning to professional roles.
I also work to build capacity beyond my own units. I co-chair our Business Education Research & Scholarship (BERS) network, mentor colleagues through peer observation and accreditation pathways, and lead or contribute to workshops on active learning, assessment design and AI-literacy. Nationally, I founded a professional community within the OR Society focused on OR/Analytics education, convene education-themed conference streams, and serve as Co-Editor-in-Chief of a journal at the intersection of intelligent technologies and education. My pedagogic publications, particularly on AI and critical thinking, have supported colleagues and informed sector discussions.
I am applying for the Fellowship to consolidate and extend this work. My goal is to scale evidence-based, inclusive pedagogies; strengthen assessment and feedback for an AI-enabled landscape; and support colleagues across disciplines to adopt practices that improve student learning and success.
