Month: November 2026

Two papers from EduTech have been accepted to the main track of the 2026 Empirical Methods in Natural Language Conference (EMNLP) and were presented at the conference in Budapest, Hungary. Paper1:Alice: A Large-Scale German Benchmark for Rubric-Based Multi-Dimensional Automatic Short Answer Scoring  This paper presents the full Alice Dataset, a large-scale German student answer scoring benchmark. The novelty of the benchmark lies in the multidimensional scoring, where each student answer is scored according to three subtasks: Learning Performance, which measures how well the student answers the question directly; Knowledge Elements, where each answer is scored by how well the student masters and utilises the target concepts for each question; and Skill, which is the cognitive concepts required by each question. In addition, each available level in three subtasks is annotated…