Student perception of pilot interprofessional education and care clinical experiences at dental clinics

Correlation Between Student Performances on Case-Based Constructed-Response Formative Assessment and Summative Assessment

OBJECTIVES

This study aimed to evaluate the impact of formative assessment with case-based constructed-response question (CRQ) formats on student performance on the final summative assessment in the second-year periodontics course.

METHODS

Classroom quizzes with case-based CRQs were implemented as the formative assessment during the course. Each student received feedback on their responses from the course director. After all students (N = 128) took the second-year final examination, the Friedman test was conducted to compare student performances in each assessment over time. The multiple linear regression (MLR) model was used to evaluate the association between the second-year final examination score and plausible predictors-student gender, the second-year formative and midterm examination scores, and time spent on the final examination.

RESULTS

The mean % scores in the formative assessment (51) and midterm (84) examination were significantly lower than that of the final (87) examination (P < .01). The number of students who failed the final (6) examination was significantly lower than the midterm (16) examination (P = .03). The midterm (P < .0001) and the formative assessment (P = .0009) scores significantly affected the second-year final examination score while student gender (P = .59) and time spending (P = .83) showed no correlations.

CONCLUSION

Within the limitations of the study, student performance on case-based CRQs was correlated with student performance on the summative assessment.

Effectiveness of distance learning for preclinical periodontal education

INTRODUCTION

This study aimed to investigate the effectiveness of distance learning (DL) for the second-year periodontics course compared to classroom learning (CL). MATERIALS AND METHODS: DL for Class A (n1 = 126) and CL for Class B (n2 = 133) were implemented. The same instructors recorded or delivered the same lectures in the two learning modules during the second-year periodontics course. Classes A and B took the same final examinations (a total % score of 200). General linear model (GLM) and ordinal logistic regression (OLR) analyses were conducted after considering individual first-year final % scores as a covariate to test if the second-year final % scores and the distributions of letter grades were significantly different between Class A and B.

RESULTS

The mean second-year final % score of the DL group (166.4) was significantly higher than that of the CL group (160.8) (independent t-test, p = .019). However, in GLM, the first-year final % scores significantly affected the second-year scores (p = .016); the second-year final % scores between the two groups were not significantly different (p = .268) after considering the individual first-year scores. In OLR, there was no difference in the likelihood of getting lower grades in the second-year course between the two groups (odds ratio = 1.6; 95% confidence interval = [0.95, 2.72], p = .078) after considering the first-year final % scores.

CONCLUSION

Within the limitations of the study, the DL for preclinical periodontics resulted in comparable student learning outcomes when compared to the traditional CL.

Effectiveness of remote simulation-based learning for periodontal instrumentation: A non-inferiority study

OBJECTIVES

While numerous virtual/remote simulation-based learning (SBL) modules were implemented due to the COVID-19 pandemic, limited data on their effectiveness are available. This study aimed to investigate the effectiveness of a remote SBL module for periodontal instrumentation compared to traditional onsite SBL modules.

METHODS

Calibrated faculty members have instructed in all modules. Synchronous remote SBL activities using a secure videoconferencing application, which replaced onsite practices, were conducted in a small group setting in the remote SBL module for the class of 2023. After the class took the onsite second-year practical examination, a set of multiple and logistic regression analyses (N = 389) were conducted to test if the second-year practical examination scores and the passing rates were significantly different between the remote SBL (class of 2023) and onsite SBL I and II (class of 2019 and 2022) groups.

RESULTS

Both mean practical examination score and passing rate from the remote SBL group (class of 2023) were significantly higher than those from the onsite SBL II group (class of 2022) when their first-year practical examination scores were not considered (p < 0.05). Once the first-year practical examination scores were considered, the remote SBL group was not significantly different from the onsite SBL I and II groups with respect to the mean second-year practical examination score and the passing rate.

CONCLUSION

The proposed remote SBL module achieved the comparable student learning outcomes compared to the onsite SBL modules while it utilized less staff, time, and material expenditure.