AIEDHKAI in Education Hub of Knowledge
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#assessment design

assessment design

1 논문

A programming lecturer and two diverse university students inspect compiled code, an inheritance diagram, and a grading rubric in a computer laboratory
저널 논문2026
저널 논문 102

Five AI systems outscored the average OOP cohort but still failed compilation and advanced concepts

Marina Lepp, Joosep Kaimre

arXiv preprint

Lepp and Kaimre evaluated ChatGPT-5.2, DeepSeek-V3, Gemini 2.5 Flash, Claude Sonnet 4.5, and Microsoft 365 Copilot on authentic introductory OOP tests and examinations using student grading criteria. Systems exceeded the historical average and often solved long tasks, yet some code did not compile and interfaces, abstract classes, inheritance, and image-based questions remained difficult. The results challenge take-home assessment validity without proving student learning.

programming assessmentobject-oriented programminggenerative AI
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AIEDHKAI in Education Hub of Knowledge

AIEDHK는 AI 교육 연구, 개발, 책임 있는 학습 혁신을 위한 다국어 지식 허브입니다.

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