Interactive learning in oral and maxillofacial radiology

Effectiveness of Problem-Based Learning versus Traditional Teaching Methods in Improving Acquisition of Radiographic Interpretation Skills among Dental Students-A Systematic Review and Meta-Analysis

Problem-based learning is an experiential and student-centred learning method to practice important skills like querying, critical thinking, and collaboration through pair and group work. The study is aimed at comparing the effectiveness of problem-based learning (PBL) and traditional teaching (TT) methods in improving acquisition of radiographic interpretation skills among dental students. Clinical trials (randomized and nonrandomized) were conducted with the help of dental students studying oral radiology using PBL and TT methods and assessing radiographic interpretation skills, knowledge scores, and satisfaction level as outcomes. Articles published from PubMed/MEDLINE, DOAJ, Cochrane Central Register of Controlled Trials, and Web of Science were searched. The quality of the studies was evaluated using the Cochrane Collaboration Tool, the MINORS Checklist, and the Risk of Bias in Nonrandomized Studies of Interventions (ROBIN-I) tool. Meta-analysis was done using Review Manager 5.3. There were twenty-four articles for qualitative synthesis and 13 for meta-analysis. The cumulative mean difference was found to be 0.54 (0.18, 0.90), 4.15 (-0.35, 8.65), and -0.14 (-0.36, 0.08) for radiographic interpretation skills, knowledge scores, and satisfaction level, respectively, showing significant difference favouring PBL as compared to TT except for satisfaction level which favoured the TT group. To understand the long-term effectiveness of PBL over TT methods in oral radiology among dental students, well-designed long-term randomized controlled trials are needed.

Artificial intelligence for precision education in radiology

In the era of personalized medicine, the emphasis of health care is shifting from populations to individuals. Artificial intelligence (AI) is capable of learning without explicit instruction and has emerging applications in medicine, particularly radiology. Whereas much attention has focused on teaching radiology trainees about AI, here our goal is to instead focus on how AI might be developed to better teach radiology trainees. While the idea of using AI to improve education is not new, the application of AI to medical and radiological education remains very limited. Based on the current educational foundation, we highlight an AI-integrated framework to augment radiology education and provide use case examples informed by our own institution's practice. The coming age of "AI-augmented radiology" may enable not only "precision medicine" but also what we describe as "precision medical education," where instruction is tailored to individual trainees based on their learning styles and needs.

An systematic review of e-learning outcomes in undergraduate dental radiology curricula-levels of learning and implications for researchers and curriculum planners

OBJECTIVES

To examine the outcomes of e-learning or blended learning interventions in undergraduate dental radiology curricula and analyze the nature of the knowledge levels addressed in learning interventions.

METHODS

A systematic literature review was performed using a search strategy based on MeSH key words specific to the focus question and indexed in the MEDLINE database. The search again was supplemented by hand-searching of selected journals. Data were extracted relating to outcomes of knowledge and student perceptions. Analysis of the e-learning intervention was performed using a new framework to examine the level of knowledge undertaken: (1) remember/understand (2) analysis or evaluation or diagnosis and (3) performance ("knows how" or "shows how").

RESULTS

From the selected 17 papers, 11 were positive about student reported outcomes of the interventions, and 8 reported evidence that e-learning interventions enhanced learning. Out of the included studies, 8 used e-learning at the level of remember/understand, 4 at the level of analysis/evaluate/diagnosis, and 5 at the level of performance ("knows how," "shows how").

CONCLUSIONS

The learning objectives, e-learning intervention, outcome measures and reporting methods were diverse and not well reported. This makes comparison between studies and an understanding of how interventions contributed to learning impractical. Future studies need to define "knowledge" levels and performance tasks undertaken in the planning and execution of e-learning interventions and their assessment methods. Such a framework and approach will focus our understanding in what ways e-learning is effective and how it contributes to better evidence-based e-learning experiences.

The development of a learning management system for dental radiology education: A technical report

PURPOSE

This study was conducted to suggest the development of a learning management system for dental radiology education using the Modular Object-Oriented Dynamic Learning Environment (Moodle).

MATERIALS AND METHODS

Moodle is a well-known and verified open-source software-learning management system (OSS-LMS). The Moodle software was installed on a server computer and customized for dental radiology education. The system was implemented for teaching undergraduate students to diagnose dental caries in panoramic images. Questions were chosen that could assess students' diagnosis ability. Students were given several questions corre-sponding to each of 100 panoramic images.

RESULTS

The installation and customization of Moodle was feasible, cost-effective, and time-saving. By having students answer questions repeatedly, it was possible to train them to examine panoramic images sequentially and thoroughly.

CONCLUSION

Based on its educational efficiency and efficacy, the adaptation of an OSS-LMS in dental school may be highly recommended. The system could be extended to continuing education for dentists. Further studies on the objective evaluation of knowledge acquisition and retention are needed.