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:

1. 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);
2. 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;
3. "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;
4. 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;
5. 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.
6. The application of learning analytics – the intersection of analytics and pedagogy – towards enhancing teaching and learning especially within the HE context.

Join us for our next event:

Transforming Higher Education Assessments: Embracing AI with the AI Assessment Scale (AIAS)

28 August 2024, 12.00 - 13.00

REGISTER HERE

As the landscape of higher education continues to evolve rapidly, GenAI technologies are reshaping the way we learn and teach. This webinar aims to thoroughly explore the potential implications of these cutting-edge technologies on the future of higher education. Our esteemed speaker will present his valuable insights on the subject, shedding light on the AI Assessment Scale (AIAS) for incorporating GenAI into educational assessments.

Meet the Speaker

Assoc. Prof. Dr. Mike Perkins, who is is the Head of the Centre for Research & Innovation at British University Vietnam, Vietnam. He holds a PhD in Management from the University of York, where he explored performance management in local policing services. His current research focuses on performance management, academic integrity, and the impact of Generative AI (GenAI) technologies in academia, particularly concerning HEI policy responses to these advancements.

His work on GenAI focuses on the intersection between technology, education, and academic integrity. His research has explored the efficacy of AI text detectors; media attitudes towards GenAI tools; how AI can be ethically introduced into assessments; policy approaches towards GenAI from both universities and academic publishers, and how these tools can be used in academic research. He is the university lead for the integration of GenAI policies into BUV and has provided training and guidance to Vietnamese educators and policy-makers on this topic.

As well as research on GenAI tools, Mike has also explored broader academic integrity issues. These have included investigating the murky operations of diploma mills, and student perceptions of cheating during the transition to online learning prompted by the Covid-19 pandemic. He maintains a strong focus on supporting students to understand and navigate university policies related to academic integrity: a challenge which has been increased since the broad introduction of GenAI tools in education over the last year.

Committee Details

Past events