AI-Assisted Assessment: A Dual Perspective on Effective Usage Plans for Students and Teachers

This paper focuses upon assessing the use of Google's NotebookLM for AI-assisted grading of a project assignment weighing 50 % of the final grades obtained by a class of 30 students in a Hardware/Software Codesign course that belongs to a master program in Computer Science. The work complements an existing strategy for AI-assisted learning, shifting the focus from the students' to the teachers' side. NotebookLM's potential contribution to improve teaching activities is briefly considered, followed by the presentation of an experiment where this tool was used to support the teacher's assessment work, and of the students' perception towards AIassisted grading. The paper closes with a brief reflection upon the impact of these emerging technologies upon the wider higher-education sector.