AI-generated feedback on writing: insights into efficacy and ENL student preference

Brigham Young University–Hawaii · Florida State University

Indexed incrossrefdoaj

Abstract

Abstract The question of how generative AI tools, such as large language models and chatbots, can be leveraged ethically and effectively in education is ongoing. Given the critical role that writing plays in learning and assessment within educational institutions, it is of growing importance for educators to make thoughtful and informed decisions as to how and in what capacity generative AI tools should be leveraged to assist in the development of students’ writing skills. This paper reports on two longitudinal studies. Study 1 examined learning outcomes of 48 university English as a new language (ENL) learners in a six-week long repeated measures quasi experimental design where the experimental group received…

Citation impact

430
total citations
FWCI
71.75
Percentile
100%
References
38
Citations per year

Authors

3

Topics & keywords

Keywords
  • TUTOR
  • Preference
  • Generative grammar
  • Perception
  • Mathematics education
  • Computer science
  • Higher education
  • Generative model
UN Sustainable Development Goals
  • Quality Education
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