Developing Micro-credentials in AI for Assessment in Asia and Europe

Abstract

The extreme transformation in education worldwide was driven by rapid technological advancements and an increasing demand for specialized skills. Microcredentials have emerged as smooth, skills-focused learning pathways, offering a flexible response to the evolving needs of the workforce and higher education. At the same time, Artificial Intelligence (AI) is revolutionizing educational practices, particularly in evaluation and assessment, by enabling personalized learning, enhancing efficiency, and providing data-driven insights. However, the widespread and ethical integration of AI in assessment faces significant challenges, including issues of bias, data privacy, and the need for strong quality assurance.

ASEF (Asia-Europe Foundation) for Higher Education and Innovative Laboratory is continuously conducting online training on AI for educators in Asia and Europe, focusing on two tracks: 1) Academic Paper track and 2) Developing a Micro-credential track. This paper is a documentation of the author’s involvement in that training program with the intent to learn and capacitate for personal and institutional development in the future. This paper will outline the path in development micro-credential course. It will examine the factors to consider before creating a micro-credential course that will focus on the use of AI for evaluation and assessment within the Asia-Europe context. It will present the rationale for such a course, explore the characteristics and benefits of micro-credentials, detail the applications and advantages of AI in assessment, and propose a curriculum designed to address the professional development needs of educators and administrators. A critical emphasis on navigating the complex ethical considerations and policy implications unique to Asia, advocating for transparency, accountability, and human oversight, will also be included.