Survey data from undergraduate students on AI-Assisted Academic Cheating

Description of the datasetThis dataset contains anonymized survey responses from 863 undergraduate students in Vietnam. The survey examined students’ perceptions of AI-assisted academic cheating behaviors, comparing perceived peer cheating (PPC) and self-reported cheating (SRC) across eleven behaviors.The dataset was collected using an anonymous questionnaire administered between October and November 2025.All responses were voluntary and no personally identifiable information was collected. File formatThe dataset is provided in SPSS (.sav) format.Software used for analysis:IBM SPSS Statistics (Version 26).Variables included in the datasetDemographic variablesGender – student genderSeniority – academic year of the studentMeasures of AI-assisted academic cheatingEach behavior was measured from two perspectives:PPC – Perceived peer cheatingSRC – Self-reported cheatingThe following eleven behaviors are included:FullTaskAI – Using AI to complete entire assignments or essaysExamAI – Using AI to answer examination questionsFakeData – Using AI to fabricate research data or resultsNoDisclosure – Submitting AI-generated work without disclosureLowContribution – Submitting AI-generated work with minimal personal contributionCopyAIGenerated – Copying AI-generated content directlyParaphraseAI – Paraphrasing AI-generated content to avoid detectionFakeReferences – Using AI-generated or fabricated referencesNoVerification – Accepting AI-generated outputs without verificationUseWhenBanned – Using AI tools when instructors explicitly prohibit themGrayLitPlagiarism – Using AI to appropriate or rewrite content from other authors’ gray literature and present it as one’s own work Measurement scaleAll items were measured using a five-point Likert scale:1 – Never2 – Rarely3 – Sometimes4 – Often5 – Very often Data anonymizationThe dataset contains no personal identifiers. All responses were collected anonymously. Contact informationFor questions regarding the dataset, please contact:Hanh Van NguyenHanoi University of Science and Technologyhanh.nguyenvan@hust.edu.vn