Artificial Intelligence-enabled adaptive assessments with Intelligent Tutors
Xiangen Hu, Keith T. Shubeck, John Sabatini · OECD eBooks · 2023
This chapter presents an adaptive assessment framework inspired by Intelligent Tutoring Systems (ITS), i.e. computer-based learning environments providing personalised instruction and feedback to learners through digital tutors and/or “peer” avatars. Unlike typical assessment environments, ITS provide students with interactive scenarios that integrate dynamic tasks and iterative feedback, where learning takes place as learners progress through the activities. The chapter argues that next-generationassessments have a lot to learn from ongoing developments in ITS, especially from original applications of Artificial Intelligence (AI) that provide intelligent feedback to students, adapt the system content in response to their actions, and evaluate what they know and can do. Three examples of ITS that integrate AI- applications for such purposes are presented.