We are looking for contributions for „Fairness, Transparency, and Validity in Automated Assessment: Evidence, Frameworks, and Implications for Higher Education„. The call is open and you are able to upload a first abstract:
Contributions are particularly encouraged that:
(a) examine the reliability and equity of automated assessment systems across diverse learner populations, languages, and disciplines;
(b) analyze the pedagogical and policy implications of AI-mediated feedback; and
(c) propose frameworks, tools, and benchmarks for ensuring transparency, reproducibility, and trustworthiness.
Find here the Call for Papers: [Link]