The use of artificial intelligence and game-based learning in removable partial denture design: A comparative study.

Area of Science:

• Dental Education
• Prosthodontics
• Educational Technology

Background:

• Removable partial denture (RPD) design is a critical skill in pre-clinical dental education.
• Traditional RPD instruction may benefit from innovative technological integration.
• Assessing the impact of new software on student learning and perception is essential.

Purpose of the Study:

• To compare student performance in RPD design with and without the AiDental software.
• To evaluate dental students' perceptions of the AiDental software's usability and effectiveness.
• To determine the software's potential as an adjunct in pre-clinical RPD teaching.

Main Methods:

• A pre-clinical RPD course was divided into two groups: one with AiDental software access and a control group.
• Student performance was assessed via a blinded mock practical test.
• Student perceptions were gathered through surveys and thematic analysis post-course.

Main Results:

• Students using AiDental were more likely to achieve higher grades (A or B) in RPD design.
• Overall student perceptions of the AiDental software were favorable.
• Age was negatively correlated with perceived ease of use and decision-making improvement.

Conclusions:

• AiDental's automated feedback and gamification positively impacted student RPD design grades.
• The software was well-received by students, indicating high user satisfaction.
• AiDental shows promise as a supplementary tool for pre-clinical removable partial denture education.