ERIC Number: EJ1471141
Record Type: Journal
Publication Date: 2025-Dec
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2731-5525
Available Date: 2025-05-13
Exploring the Difference and Quality of AI-Generated versus Human-Written Texts
Karin Tengler1; Gerhard Brandhofer1
Discover Education, v4 Article 113 2025
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.
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Writing (Composition), Content Area Writing, Sciences, Preservice Teachers, Writing Ability, Comparative Analysis, Logical Thinking, Language Fluency
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link-springer-com.bibliotheek.ehb.be/
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: 1University College of Teacher Education Lower Austria, Baden, Austria