Published in:
Open Access 01-12-2023 | Research
Identifying relevant topics and their competency levels for dental materials science: a fuzzy Delphi study
Published in: BMC Oral Health | Issue 1/2023
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Background
Dental materials science is an important core course in undergraduate dental programs which integrates foundational concepts of chemical engineering and materials science into clinical dentistry. The present study aimed to identify relevant dental materials science topics for Malaysian undergraduate dental curricula and to determine their appropriate competency levels in terms of cognitive and psychomotor taxonomies.
Methods
Potential dental materials science topics were drafted in alignment with the revised national competency statement. The list of topics was further amended after comparing it with those recommended topics in the literature. Fuzzy Delphi method was applied. Experts were selected based on the different inclusion criteria. They ranked the topics using a five-point Likert scale and recommended the appropriate cognitive and psychomotor levels. Next, fuzzy evaluation was performed. Consensus was deemed for a topic to be included if (a) the average expert agreement was ≥ 75%, (b) the d-construct threshold value for each topic was ≤ 0.2 and (c) the average fuzzy number was ≥ 0.5.
Results
Sixty-two experts participated in the study. They accepted 33 out of 36 potential dental materials science topics. The average Likert score and fuzzy number ranged from 3.63 to 4.92 and 0.526 to 0.784, respectively. Furthermore, “Endodontic materials” was ranked as the most significant topic. Meanwhile, many topics required dental students to demonstrate a cognitive level of “Apply” and a psychomotor level of “Guided response”. Based on mean scores, “Impression materials” was rated as the most cognitively demanding topic, whilst “Temporary restorative materials” was the most demanding topic for psychomotor taxonomy.
Conclusion
The present study has identified relevant dental materials science topics and their appropriate cognitive and psychomotor levels using the Fuzzy Delphi approach. The findings of the present study form the basis for future studies to develop measurable learning outcomes, design corresponding innovative pedagogy and propose assessment criteria for each topic.