A review of assessment for learning with artificial intelligence

Abstract

The reformed Assessment For Learning (AFL) practices the design of activities and evaluation and feedback processes that improve student learning. While Artificial Intelligence (AI) has blossomed as a field in education, less work has been done to examine the studies and challenges reported between AFL and AI. We conduct a review of the literature to examine the state of work on AFL and AI in the education literature. A review of articles in Web of Science, SCOPUS, and Google Scholar yielded 35 studies for review. We share the trends in research design, AFL conceptions, and AI challenges in the reviewed studies. We offer the implications of AFL and AI and considerations for future research.