Comparison of tutored group with tutorless group in problem-based mixed learning sessions: a randomized cross-matched

Shogo Hayashi1, Koji Tsunekawa, Chikako Inoue

  • 1Medical Education Center, Aichi Medical University School of Medicine, Nagakute, Aichi 480-1195, Japan. sho5-884@umin.ac.jp.

BMC Medical Education
|December 3, 2013
PubMed
Summary

Tutorless problem-based learning (PBL) shows comparable written examination scores to tutored PBL, but tutored groups report higher self-contentment. Tutorless PBL is a viable option, especially in early educational stages.

Related Concept Videos

Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
726
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.8K
Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.3K