AI-Assisted formative assessment in social studies education: development of an NLU-integrated smart diagnostic branched tree platform and testing its effect

Basit Öğe Kaydı
dc.contributor.authorYetisensoy, Okan
dc.date.accessioned2026-09-01T15:52:37Z
dc.date.available2026-09-01T15:52:37Z
dc.date.issued2026
dc.departmentBayburt Üniversitesi
dc.description.abstractFormative assessment practices have been a significant focus in Social Studies education for many years. One commonly used technique in these practices is the diagnostic branched tree, which is designed to assess students' understanding through a branching structure based on their responses. While this technique shows promise for identifying students' learning status and gaps throughout the ongoing process, it presents several structural limitations. This research aims to address these limitations by integrating diagnostic branched trees with natural language understanding, a key AI technique in educational assessment, thereby enhancing their diagnostic capabilities and making them smarter tools in educational settings. Furthermore, this research seeks to evaluate the impact of this revised system in middle schools within a practical setting. Following the development phase, the results of the experimental study demonstrated that the revised system had a significantly positive impact on students' learning performance. Qualitative data, meanwhile, suggested that this success was largely due to the system's ability to provide formative feedback and personalized guidance, which fostered metacognition and self-regulated learning. At this point, considering the positive transformations brought about by technology, it is recommended that innovative technologies be developed to enhance formative assessment across various levels of K-12 education.
dc.identifier.doi10.1080/10494820.2026.2637614
dc.identifier.issn1049-4820
dc.identifier.issn1744-5191
dc.identifier.scopus2-s2.0-105033979512
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1080/10494820.2026.2637614
dc.identifier.urihttps://hdl.handle.net/20.500.12403/8506
dc.identifier.wosWOS:001726754700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorYetisensoy, Okan
dc.language.isoen
dc.publisherRoutledge Journals, Taylor & Francis Ltd
dc.relation.ispartofInteractive Learning Environments
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260820
dc.subjectArtificial Intelligence
dc.subjectDiagnostic Branched Tree
dc.subjectFormative Assessment
dc.subjectNatural Language Understanding
dc.subjectSocial Studies Education
dc.titleAI-Assisted formative assessment in social studies education: development of an NLU-integrated smart diagnostic branched tree platform and testing its effect
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu