Impact of Artificial Intelligence-based Writing Assistant on the Academic Writing Skills of University Faculty in Pakistan

Abstract

The aim of the study was to assess the artificial intelligence-based writing assistant on academic writing skills of faculty members. A qualitative approach (Netnography) was employed to conduct the research. The convenient sampling technique was used to select the sample. The sample of the study was consisted of 65 faculty members. There were six universities (4 Public and 2 Private) and two departments (English, 30 faculty members and Education, 35 faculty members) for sample selection. Netnographer used asynchronous tool What’s app to collect the data. A semi structured interview schedule was shared within the What’s app groups of faculty members. The interview schedule was comprised of four questions. The results of the study highlighted the positive impact of AI-based writing assistants on faculty members' efficiency by providing instant feedback, reducing the time and effort required for proofreading and editing. The findings of this study will guide institutions and educators in adopting AI writing assistants, ultimately enhancing writing skills and streamlining the writing process.