Education in OR Analytics

The stream kindly invites academics and practitioners at the intersection of OR and Business Analytics to discuss, highlight, and propose effective and contemporary practices/ideas/techniques related to pedagogy, teaching, and learning to boost student engagement; this would tremendously benefit the wider 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;  
  • The Team-Based Learning approach, as a powerful way of peer learning; 
  • The gamified approach to be embedded into the curriculum of a programme of studies;  
  • ChatGPT and whether this should be treated as a threat, an opportunity, or an asset; 
  • "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 in the Business Analytics domain;  
  • Software for effective visualisations of the data and the associated relationships; methods for assessing in an authentic way and giving effective feedback;  
  • Challenges when developing/leading/delivering business/data analytics programs at Business Schools; 
  • 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 towards enhancing teaching and learning, especially within the HE context.


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Dr. Heather He

Bangor Business School, UK

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Dr. Marios Kremantzis

University of Bristol Business School, UK