Automating Exam Assessment Through Digital Transformation and Image Processing

Basit Öğe Kaydı
dc.contributor.authorDogan, Onur
dc.date.accessioned2025-03-20T09:44:54Z
dc.date.available2025-03-20T09:44:54Z
dc.date.issued2025
dc.departmentİzmir Bakırçay Üniversitesi
dc.description3rd International Conference on Electronic Governance with Emerging Technologies, EGETC 2024 -- 25 September 2024 through 26 September 2024 -- Jakarta -- 324659
dc.description.abstractThe paper presents a study aimed at optimizing the reading and evaluating process of multiple-choice exam sheets (optical forms) as a smart campus application at Izmir Bakircay University, significantly reducing the time and cost involved. Traditional manual evaluation methods are time-consuming and expensive. The proposed solution leverages digital transformation and image processing technologies. The algorithm developed processes scanned images of optical forms, generates scores, and provides statistical reports without requiring specialized knowledge. The methodology is divided into three main steps: detecting sections of the optical form, cropping sections, reading marked circles based on coordinates, reporting exam results, and statistical analysis. Testing with previously used optical forms showed 100% accuracy at a resolution of 600×600 dpi. Errors caused by user handling were anticipated and the system was designed to be robust against such errors. The results of implementing this automated system include a 98.15% reduction in processing time and a 99.95% reduction in cost. The new evaluation time is around 5 min per exam, costing 347 TL. The process now requires only one person instead of four. This study exemplifies the potential of digital transformation and image processing to enhance operational efficiency and cost-effectiveness in academic settings. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
dc.identifier.doi10.1007/978-3-031-77029-6_7
dc.identifier.endpage91
dc.identifier.isbn978-303177028-9
dc.identifier.issn1865-0929
dc.identifier.scopus2-s2.0-85214462597
dc.identifier.scopusqualityQ3
dc.identifier.startpage78
dc.identifier.urihttps://doi.org/10.1007/978-3-031-77029-6_7
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2047
dc.identifier.volume2245 CCIS
dc.indekslendigikaynakScopus
dc.institutionauthorDogan, Onur
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofCommunications in Computer and Information Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250319
dc.subjectExam evaluation
dc.subjectOptical form recognition
dc.subjectSmart campus applications
dc.subjectStatistical improvement
dc.titleAutomating Exam Assessment Through Digital Transformation and Image Processing
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu