Journal of Chemical Education, Journal Year: 2025, Volume and Issue: unknown
Published: April 19, 2025
Language: Английский
Journal of Chemical Education, Journal Year: 2025, Volume and Issue: unknown
Published: April 19, 2025
Language: Английский
Professional Discourse & Communication, Journal Year: 2025, Volume and Issue: 7(1), P. 70 - 88
Published: March 17, 2025
The article aims to explore the potential of generative artificial intelligence (AI) for assessing written work and providing feedback on it. goal this research is determine possibilities limitations AI when used evaluating students’ production feedback. To accomplish aim, a systematic review twenty-two original studies was conducted. selected were carried out in both Russian international contexts, with results published between 2022 2025. It found that criteria-based assessments made by models align those instructors, surpasses human evaluators its ability assess language argumentation. However, reliability evaluation negatively affected instability sequential assessments, hallucinations models, their limited account contextual nuances. Despite detailisation constructive nature from AI, it often insufficiently specific overly verbose, which can hinder student comprehension. Feedback primarily targets local deficiencies, while pay attention global issues, such as incomplete alignment content assigned topic. Unlike provides template-based feedback, avoiding indirect phrasing leading questions contributing development self-regulation skills. Nevertheless, these shortcomings be addressed through subsequent queries model. also students are open receiving AI; however, they prefer receive instructors peers. discussed context using formulating foreign instructors. conclusion emphasises necessity critical approach assessment importance training effective interaction technologies.
Language: Английский
Citations
0Journal of Chemical Education, Journal Year: 2025, Volume and Issue: unknown
Published: April 19, 2025
Language: Английский
Citations
0