Artificial intelligence in preschool education: \\\"Personalized assessment and evaluation with artificial intelligence\\\"

Authors : Gülçin Güven, Seher Yumugan

Pages : 161-190

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Publication Date : 2025-04-01

Article Type : Review Paper

Abstract :Traditional assessment and evaluation methods in preschool education lack objectivity, limit process-oriented assessment, and fail to account for individual differences, reducing their overall effectiveness. This study aims to address these challenges by designing an artificial intelligence-supported model to enhance assessment and evaluation processes. The research examines the integration of assessment tools in Turkey’s Preschool Education Program into an AI-supported model, focusing on the use of natural language processing (NLP), image recognition, and machine learning algorithms for a more detailed and objective evaluation of children\\\'s cognitive, social, and emotional development. A qualitative research method was employed, utilizing document and content analysis techniques. A comprehensive literature review was conducted, and the findings were systematically analyzed to develop a new AI-supported assessment model. The proposed model enhances individualized learning experiences, integrates AI into educational processes, and provides real-time feedback to students and teachers. This study presents an innovative alternative to traditional approaches by introducing AI-based assessment in Turkish preschool education. The model is expected to improve objectivity, consistency, and sensitivity to individual differences, offering a more efficient and data-driven evaluation framework for early childhood education.
Keywords : Yapay zeka destekli ölçme ve değerlendirme, Okul öncesi eğitim, Kişiselleştirilmiş öğrenme, Veri odaklı geri bildirim, Eğitim teknolojileri