Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Exploring the difference and quality of AI-generated versus human-written texts
4
Zitationen
2
Autoren
2025
Jahr
Abstract
Generative Artificial Intelligence (GenAI) models have grown increasingly popular among pre-service teachers (PSTs) and have become their constant companions, primarily assisting them in scientific writing. This article presents a study that investigates the differences and benefits of GenAI in the scientific writing process. Essays generated by GenAI were compared with those written by pre-service teachers (N = 39). The results of the criticism-led evaluation demonstrate that AI-generated texts perform significantly better, particularly in logic and fluency. In addition, most PSTs perceive generative AI beneficial in various phases of the writing process. The findings highlight the potential of GenAI as a useful tool in higher education, but also raise questions regarding academic integrity and critical thinking.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.549 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.443 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.941 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.792 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.