A Tale of Academic Writing Using AI Tools: Lessons Learned from Multicultural Undergraduate Students
Publication Name
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
The aim of the current study was to explore the perceptions of undergraduate students of usefulness of using AI tools to write academically. For this study, we utilized a mixed method approach using a structured questionnaire to collect data relevant to the frequency of plagiarism that students commit while completing different kinds of assessments in universities. The sample group consisted of university students and participants were selected through purposeful random sampling. The selection of participants was based on the inclusion criteria that helped in understanding the problem. The questionnaire was made available to participants in an online format and sent by (SNS) or/ and email. The questionnaire was created using Qualtrics. It consisted of 12 questions aimed at understanding students’ act of plagiarism while completing assessment as well as the use of AI to complete academic work. The questionnaire emphasized the identification plagiarism frequency and use of AI to complete tasks. Participants were provided with a selection of two to five pre-determined response options and one open-ended response option. In total, 53 questionnaires were completed. Responses were thematically analysed using QDA Miner Lite 2.0.7, qualitative, and mixed method analysis software. Finally, recommendations for further research were presented.
Open Access Status
This publication is not available as open access
Volume
14704 LNCS
First Page
43
Last Page
56