AI-Based Thesis Assessment: An Empirical Study of Human Evaluation Priorities and Their Impact on Automated Assessment

arXiv:2608.00717 · cs.AI, cs.CL · Submitted 2026-08-01 · Read on arXiv

Garv Vikram Gursahaney, Baskhad Idrisov, Thorsten Fröhlich, Tim Schlippe

cs.AI, cs.CL

Submitted: 2026-08-01

Comments: Accepted for publication in the Proceedings of the 7th International Conference on Artificial Intelligence in Education Technology (AIET 2026), Zagreb, Croatia

Code: https://github.com/thorstenfroehlich/RubiSCoT_Validation_Study_Data

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Calibration — 39× in this paper · explained in 9 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Methodological Rigor — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Dynamic Weighting — 2× in this paper · explained in 3 episodes
• AI Alignment — 1× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hierarchical Structure — 1× in this paper · explained in 3 episodes
• Human-in-the-loop — 1× in this paper · explained in 4 episodes
• Prompt Engineering — 1× in this paper · explained in 6 episodes
• Reasoning Traces — 1× in this paper · explained in 4 episodes
• Research Institute Artificial Intelligence — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes

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