OR, Analytics, and Education

The OR, Analytics, and Education SIG (OAESIG), is a forum that aims to gather academics and practitioners at the intersection of OR and Business Analytics to discuss, highlight and develop/propose effective and contemporary practices/ideas related to pedagogy, teaching, and learning within the Higher Education (HE) sector.

Within this context, particular emphasis could be placed on topics including, but not limited to:

• The taxonomy in a Problem-Based Learning approach (considering the extent of involvement of the tutor and the level of information needed to solve a particular problem);
• The gamified approach (game elements e.g., points, badges, leader boards, progress bars) to be embedded into the curriculum of a module or programme of studies;
• "Modules of tomorrow" to engrain an analytical mindset in future managers; the skills that a learner needs regarding data acquisition, preparation, analysis, visualization, interpretation and communication, in order to be consistent with industry trends and job prospects in the Business Analytics domain;
• Software for effective visualisations of the data and the associated relationships; modes of delivery; methods for assessing in an authentic way and giving effective feedback;
• Developing data analytics certificate programs for business majors, etc. This is expected to have a wider focus and hopefully impact to people with common interests in this particular field nationally and internationally.
• The application of learning analytics – the intersection of analytics and pedagogy – towards enhancing teaching and learning especially within the HE context.

Next Event

What Can a Spreadsheet Really Tell Us? Teaching Business Analytics with Google Sheets and AI input

24 June 2026
Online | 15:00 - 16:00

This talk explores how Google Sheets and AI can make Business Analytics more accessible, engaging and practical for students with limited maths or technical confidence. Dr Hua Jin will share a classroom approach that uses a relatable dataset to guide students through the four levels of analytics: descriptive, diagnostic, predictive and prescriptive. By building a simple prediction model in a familiar tool, students are introduced to the core ideas behind machine learning without being overwhelmed by jargon or complex software.

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ORS Annual Conference OR68: From Data to Decisions

8–10 September 2026
University of Nottingham, United Kingdom

For those working in education and operational research, OR68 offers a forum to explore how analytical thinking is taught, learned, and applied in practice. The conference brings together educators, researchers, and practitioners to share approaches that develop skills, inform curriculum, and support better decision-making across educational and societal contexts.

Book Here

Committee Details