ARPHA Conference Abstracts : Conference Abstract
PDF
Conference Abstract
Reimagining Academic Performance Management in the Age of AI
expand article info Richard Dare
‡ International Leadership University, Nay Pyi Taw, Myanmar
Open Access

Abstract

The university’s initial response to the spectre of artificial intelligence nullifying the efficacy of traditional academic performance assessments may present us with, if the reader will indulge an old chestnut, a case of ‘c’est vouloir prendre des li`evres au son du tambour’. That is to say, the unexpected 2022 arrival of ChatGPT (to say nothing of the progeny rapidly evolving AI systems will likely spawn next) is at this very moment spreading like an intellectual pandemic – whether professors wish to acknowledge its presence or not. 

As a community dedicated to thoughtful education, this new technology compels us to choose between three entirely distinct strategies: 

  1. Ignore the impact of large language models on learning and assessment altogether and watch our students’ skills erode – the default non-response if we fail to act; or 
  2. Fight against the inevitable incursion of cut-and-paste technologies such as ChatGPT by categorising them as forms of plagiarism, banning their use in academia, and trying to identify their offspring so we can apply largely feckless punishments as imagined remedies; or 
  3. Embrace the new technologies and harness them in ways that radically recast core international educational and assessment practises, making them more suitable for the world in which we actually live. 

This paper imagines just such a third way. 

By contextualising technological advances as useful tools that can decolonise ailing education systems, the author imagines new evidence-based teaching and assessment strategies that can challenge students to achieve higher academic standards, making higher education increasingly impactful on the real world. 

The opportunity, this paper argues, is for international educational systems to ‘go beyond the unknown to meet the known’. 

Keywords

Academic Standards, Assessment, Artificial Intelligence, ChatGPT, Education, International Standards, Large Language Models, Performance Management, Technology

Presenting author

Dr Richard Dare serves as Rector of International Leadership University – the largest private university in Myanmar – where he brings together strong global business and academic networks to benefit the promotion of innovative teaching practices, research excellence, economic development and peace-building. Dare has lived most of his life in Asia where his publications focus on the intersection of decolonisation, leadership and educational development. He is a speaker and media commentator in Myanmar and around the ASEAN region.

Presented at

The Art and Science of Managing Performance” symposium, held on February 29th 2024, co-organized by Ascencia Center for Applied Business & Management Research (CABMR - France) and Gisma University for Applied Sciences (Germany), in collaboration with the Association for University Business & Economic Research (AUBER, United States).

Acknowledgements

The author wishes to thank Phillip Cartwright, George Kassar, Peter Konhaeusner, Alexandra Samaha, Yasmina Kashouh, Guillaume Finck, and Olivier de Lagarde for their enthusiastic encouragement and committment to academic excellence. 

Hosting institution

Ascencia Business School, Collège de Paris, International Campus, Paris - La Défense.

Conflicts of interest

The authors have declared that no competing interests exist.
login to comment