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Web-Based Augmented Reality vs. Interactive Presentation for Learning Caries Detection: A Randomized Study on Student
Sofía Folguera1, Carmen Llena1, José Luis Sanz1
1Department of Stomatology, Universitat de València, 46010 Valencia, Spain.
Abstract:
Background/Objectives: Augmented Reality (AR) is promising in dental education, yet its impact on caries detection training remains underexplored. This study aimed to compare the effect of a web-based AR (WebAR) learning object with a content- and interface-matched interactive 2D presentation on undergraduate students' motivation to learn caries detection. Methods: Two learning objects were expressly designed using a real patient's dental records: a WebAR image-tracking experience (built with Zapworks Studio®) and a 2D interactive presentation (built with Genially®). The WebAR object showed the patient's 3D dental arches with tooth-level hotspots linking clinical and radiographic media. The 2D comparator mirrored the same assets and navigation, restricting visualization to 2D. Third-year dental students were randomly assigned to either the AR or Genially® (G) group. After completing ICDAS-based caries identification, participants completed the 12-item Reduced Instructional Materials Motivation Survey (RIMMS) and provided open-ended feedback. Group differences were tested with the Mann-Whitney U test (p < 0.05). Results: Eighty-five students completed the study (AR n = 46; G n = 39). The AR group achieved a higher total RIMMS score (4.14 vs. 3.53 on a 5-point scale; p < 0.001), with significantly higher means in Attention, Confidence, Satisfaction, and Relevance (p < 0.05). Open-ended comments were more positive with AR (75.8% vs. 31.0%), while graphics-related complaints were more frequent with the Genially® resource (34.5% vs. 75.0%). Conclusions: WebAR achieved higher RIMMS motivation scores than a content-matched interactive presentation. Adding 3D spatial interaction to otherwise equivalent materials can enhance learners' motivation for caries detection training, while remaining low-cost and scalable.
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