Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus ERIC kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Harnessing Academic Integrity among Students: Implementation of a Novel Web-Based Application for Plagiarism Detection and Prevention

Title: Harnessing Academic Integrity among Students: Implementation of a Novel Web-Based Application for Plagiarism Detection and Prevention
Language: English
Authors: Pasty Asamoah (ORCID 0000-0002-5587-3381); John Serbe Marfo (ORCID 0000-0001-6279-9725); Matilda Kokui Owusu-Bio (ORCID 0000-0001-8477-0608); Ivy Maame Efua Hinson (ORCID 0009-0002-1807-1627); Robert Doe (ORCID 0009-0006-5702-4689); Daniel Zokpe (ORCID 0009-0004-0988-5076)
Source: Africa Education Review. 2024 20(1-2):1-20.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 20
Publication Date: 2024
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Foreign Countries; Undergraduate Study; Plagiarism; Writing (Composition); Citation Analysis; Artificial Intelligence; Algorithms; Web Sites; Information Technology
Geographic Terms: Ghana
DOI: 10.1080/18146627.2024.2386941
ISSN: 1814-6627; 1753-5921
Abstract: Academic integrity fosters a culture of honesty, trust, and respect within the educational community. Evidence indicates that manual plagiarism checks through human judgment remain prevalent in undergraduate theses, terminal assignments, and group projects in developing countries. To fill this gap, we engaged with students and staff of the Kwame Nkrumah University of Science and Technology, Ghana, to propose a new plagiarism detection architecture, a novel open-source algorithm, and a web-based application for plagiarism detection and prevention. We demonstrate the performance of our algorithms, discuss the results, and suggest avenues for future research to advance this field.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1440666
Database: ERIC