Understanding PSE Students' Reactions to the Postplagiarism Concept: A Quantitative Analysis
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| Title: | Understanding PSE Students' Reactions to the Postplagiarism Concept: A Quantitative Analysis |
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| Language: | English |
| Authors: | Rahul Kumar |
| Source: | International Journal for Educational Integrity. 2025 21. |
| Availability: | BioMed Central, Ltd. Available from: Springer Nature. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: customerservice@springernature.com; Web site: https://www.springer.com/gp/biomedical-sciences |
| Peer Reviewed: | Y |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Postsecondary Education Higher Education |
| Descriptors: | Postsecondary Education, College Students, Artificial Intelligence, Ethics, Plagiarism, Writing (Composition), Moral Issues, Creativity, Creative Writing, Integrity, Student Attitudes, Technology Integration, Resistance (Psychology), Student Empowerment, Educational Policy |
| DOI: | 10.1007/s40979-025-00182-x |
| Abstract: | This study examines postsecondary education (PSE) students' perspectives on postplagiarism--a framework that reconceptualizes academic integrity in response to generative artificial intelligence (GenAI). Through a quantitative survey of 581 PSE students across five English-speaking countries, the research investigated student responses to the six tenets of postplagiarism articulated by Eaton (Int J Educ Integr 19:23, 2023a). The findings reveal a complex pattern of acceptance and resistance: while students broadly embrace the integration of GenAI in academic work, with 93.1% acknowledging the normalization of hybrid human--AI writing, significant concerns persist. Notable resistance emerged regarding the distinction between human and AI-generated content (65.92%), the potential impact of AI on human creativity (60.76%), and the retention of human agency in writing (32.7%). The study also validates a novel instrument for measuring postplagiarism perspectives, achieving acceptable internal consistency (Cronbach's alpha = 0.718) while identifying areas for refinement. These insights suggest that educational institutions must develop nuanced policies that address student concerns while facilitating ethical AI integration, particularly in areas of attribution, creative expression, and academic agency. The findings contribute to our understanding of how academic integrity frameworks can evolve to remain relevant in an AI-integrated educational landscape. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1461629 |
| Database: | ERIC |
| Abstract: | This study examines postsecondary education (PSE) students' perspectives on postplagiarism--a framework that reconceptualizes academic integrity in response to generative artificial intelligence (GenAI). Through a quantitative survey of 581 PSE students across five English-speaking countries, the research investigated student responses to the six tenets of postplagiarism articulated by Eaton (Int J Educ Integr 19:23, 2023a). The findings reveal a complex pattern of acceptance and resistance: while students broadly embrace the integration of GenAI in academic work, with 93.1% acknowledging the normalization of hybrid human--AI writing, significant concerns persist. Notable resistance emerged regarding the distinction between human and AI-generated content (65.92%), the potential impact of AI on human creativity (60.76%), and the retention of human agency in writing (32.7%). The study also validates a novel instrument for measuring postplagiarism perspectives, achieving acceptable internal consistency (Cronbach's alpha = 0.718) while identifying areas for refinement. These insights suggest that educational institutions must develop nuanced policies that address student concerns while facilitating ethical AI integration, particularly in areas of attribution, creative expression, and academic agency. The findings contribute to our understanding of how academic integrity frameworks can evolve to remain relevant in an AI-integrated educational landscape. |
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| DOI: | 10.1007/s40979-025-00182-x |
