AI-Based Video Education as an Effort to Improve Parents' Knowledge in Maintaining Early Childhood Dental Health
Keywords:
Parental, knowledge, Early childhood, Artificial intelligence, Education videoAbstract
Oral health is an important component of overall health, particularly during early childhood. Young children are not yet fully capable of maintaining their own oral hygiene and therefore depend substantially on parental support and supervision. Parents' knowledge plays an important role in supporting appropriate oral health maintenance practices. The development of digital educational media, including artificial intelligence (AI)-based video, provides an alternative approach for delivering oral health information in an engaging and accessible manner. This study aimed to assess changes in parents' knowledge of oral health maintenance in early childhood following an AI-based video education intervention. A pre-experimental study with a one-group pre-test–post-test design was conducted among parents of students at BKB PAUD Nurilang, Mampang Prapatan, South Jakarta, Indonesia, in 2026. A total of 37 participants were selected using total sampling. Participants completed a knowledge assessment before and after receiving oral health education through an AI-based video. Knowledge scores were presented using descriptive statistics and categorized as good, sufficient, or poor. Before the intervention, the mean knowledge score was 60.8. Eighteen participants (48.6%) had sufficient knowledge, 8 (21.6%) had good knowledge, and 11 (29.7%) had poor knowledge. Following the AI-based video education, the mean knowledge score increased to 94.8, and all participants (100%) were categorized as having good knowledge. The mean increase in knowledge score was 34 points. Parental oral health knowledge increased following the AI-based video education intervention. These findings suggest that AI-based video may be a promising medium for oral health education among parents of young children. Further studies using larger samples, statistical hypothesis testing, and controlled experimental designs are needed to determine its effectiveness more rigorouslyDownloads
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Copyright (c) 2026 Isniar Riezka Pratiwi, Vitri Nurilawaty, Ngatemi Ngatemi

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