Jayati Dave¹, Venika Garg², Amee Alwani³

The Quadrant 2(3):20-27

How to cite: Dave J., Garg V., Alwani A. Artificial Intelligence among pediatric dentists based on phrase recognition, knowledge, and comprehension: A Preliminary Investigation. The Quadrant. 2024;2(3):20-27.

DOI: https://doi.org/10.5281/zenodo.13709765

ABSTRACT

Background: Artificial intelligence literacy (AIL) tools have been developed to evaluate whether experts or non-experts can understand and apply AI in their respective professions. However, no model or study exists for assessing AIL in pediatric dentists. Aim: This study aimed to assess the literacy of pediatric dentists in artificial intelligence based on a phrase recognition, knowledge, and comprehension model through a mixed methods approach. Methods: A list of 13 AI-related phrases listed through expert-consensus was sent to participants who rated their interest in AI as three or higher on a 5-point Likert scale. The participants were asked to recognize each phrase. If they answered yes, they were further evaluated for knowledge and comprehension for that phrase qualitatively. If they did not recognize the phrase or incorrectly described it (knowledge), then the literacy assessment for that phrase was not taken to the next step (knowledge or comprehension). Data for 31 participants were tabulated and sent for further analysis. Results: 12 out of 31 participants recognized, had knowledge, and comprehended the 13-AI related phrases correctly. Chi-square tests did not reveal a significant association between the three domains. Spearman’s correlation coefficient showed high internal consistency between the knowledge and comprehension responses of the participants. Conclusion: AIL of pediatric dentists can be evaluated based on phrase recognition.

Keywords: Artificial Intelligence, Pediatric Dentistry, Information Literacy, Phrases, Machine Learning

HIGHLIGHTS

• This study tries to evaluate artificial intelligence literacy among pediatric dentists.

• The mode of evaluation is based on the phrase recognition, knowledge, and comprehension format.

CORRESPONDING AUTHOR AFFILIATIONS

¹Private Practitioner, Pune, India

²Private Practitioner, Ahmedabad, India

³Private Practitioner, Ahmedabad, India

Received: 04th January 2024

Accepted: 14th April 2024

Published: 09th July 2024

Artificial Intelligence among pediatric dentists based on phrase recognition, knowledge, and comprehension: A Preliminary Investigation