SURVEILLANCE OR SUPPORT? A SYSTEMATIC LITERATURE REVIEW OF ARTIFICIAL INTELLIGENCE SUPPORTED PROCTORED ONLINE EXAMS
Yazarlar (4)
Dr. Öğr. Üyesi Ayşin Gaye ÜSTÜN Sinop Üniversitesi, Türkiye
Dr. Öğr. Üyesi Bünyami Kayalı Bayburt Üniversitesi, Türkiye
Dr. Öğr. Üyesi Mehmet Yavuz Bingöl Üniversitesi, Türkiye
Prof. Dr. Aras Bozkurt Anadolu Üniversitesi, Türkiye
| Makale Türü |
Diğer (Teknik, not, yorum, vaka takdimi, editöre mektup, özet, kitap krıtiği,
araştırma notu, bilirkişi raporu ve benzeri)
(SCOPUS dergilerinde yayınlanan teknik not,
editöre mektup, tartışma, vaka takdimi ve özet türünden makale)
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| Dergi Adı | Turkish Online Journal of Distance Education | ||
| Dergi ISSN | 1302-6488 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2026 |
| Cilt / Sayı / Sayfa | 27 / 2 / 1–24 | DOI | 10.17718/tojde.1674490 |
| Makale Linki | https://izlik.org/JA66TA36CG | ||
| UAK Araştırma Alanları |
Bilgisayar ve Öğretim Teknolojileri Eğitimi
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| Özet |
| Proctored online exams have become widespread, especially after COVID-19, increasing exam security and efficiency. In recent years, artificial intelligence developments have increased these systems’ importance by expanding their use. Accordingly, this study aims to provide an in-depth understanding of the conceptual structure of artificial intelligence-supported proctored online examination (AI-SPOE) research. Systematic literature review and text mining were used as methods. Thirty-two studies in Scopus and Web of Science databases were analyzed according to the PRISMA technique. While all the studies were examined in the context of content analysis, abstracts and keywords of the relevant studies were analyzed by text mining. The current study found it effective in increasing academic integrity and exam security, but problems such as privacy violations, exam anxiety, and algorithmic biases were encountered. Although methods such as biometric verification and behaviour analysis successfully detect cheating, technical difficulties, and false positives negatively affect the user experience. In the future, more inclusive designs, transparent algorithms, and alternative evaluation methods are suggested. In conclusion, the study emphasizes the potential of AISPOE systems and highlights the importance of ethical and technical improvements. |
| Anahtar Kelimeler |
| ai | Artificial intelligence | higher education | online exam | proctored exam |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |