%0 Book Section
%A Qian, Yufeng
%T Rethinking Learning Assessment in the AI Era
%B Synthetic Intelligence in Education: Transforming Pedagogy with AI
%A Qian, Yufeng
%D 2026
%8 13 Apr 2026
%R 10.1108/978-1-80686-799-820261009
%P 0
%@ 978-1-80686-800-1
%I Emerald Publishing Limited
%X In earlier chapters of this book, synthetic intelligence was framed as a dynamic partnership between human cognition and artificial intelligence (AI) – an ecosystem where learners, teachers, and AI systems collaborate to co-create knowledge and action. This chapter explores what happens to assessment when this ecosystem evolves.Generative AI has introduced more than just a new avenue for cheating; it has unsettled the foundational assumptions that have long governed our assessment practices. With a large language model in their pocket, students can now produce well-crafted essays, plausible code, and even passable exam answers, all without fully mastering the underlying skills. Research increasingly shows that traditional take-home assignments no longer reliably reflect a student’s true capabilities (Kizilcec et al., 2024; Xia et al., 2024). At the same time, AI offers the opportunity for rich, personalized feedback at scale – enabling educators to spot patterns and insights in student work that were previously invisible (Ba et al., 2025; Wongvorachan, 2022).
%[ 4/10/2026
%U https://doi.org/10.1108/978-1-80686-799-820261009