arXiv AI By Robson Alves Vilar, Emanuel Dantas Filho, Ademar Fran\c{c}a de Sousa Neto, Mirko Perkusich, Danyllo Wagner Albuquerque, Jo\~ao Paiva, Kyller Gorg\^onio, Angelo Perkusich

Comparing Large Language Models on Scrum Certification-Style Questions: Accuracy, Stability, and Error Patterns

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arXiv:2607. 00048v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used in exam- and certification-style question answering tasks, where their ability to retrieve, interpret, and apply domain-specific knowledge can be systematically assessed.

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arXiv AI
Jul 3

Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach

arXiv:2607. 02432v1 Announce Type: new Abstract: Scalable and reliable grading of command-line examinations remains a challenge in computing education, where rising enrolments make manual marking difficult and rule-based autograders cannot handle partial credit, equivalent solutions, or syntactic variation.

By Manuel Alonso-Carracedo, Ruben Fernandez-Boullon, Pedro Celard, Francisco J. Rodriguez-Martinez, Lorena Otero-Cerdeira