Related Experiment Video
Updated: Mar 13, 2026
13:44
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
4.6K
A Randomized Crossover Comparison of Team-based Learning and Lecture Format on Learning Outcomes
Barry E Bleske1, Tami L Remington2, Trisha D Wells2
1University of Michigan College of Pharmacy, Ann Arbor, Michigan; University of New Mexico College of Pharmacy, Albuquerque, New Mexico (at time of publication).
American Journal of Pharmaceutical Education
|October 21, 2016
Summary
Team-based learning (TBL) significantly improved student examination scores and confidence in therapeutic recommendations compared to traditional lectures. This study highlights TBL as an effective educational approach for enhancing higher-order thinking skills.
Area of Science:
- Medical Education
- Pedagogy
Background:
- Traditional lecture formats are common in medical education.
- There is a need to evaluate alternative teaching methods for improved learning outcomes.
Purpose of the Study:
- To compare the effectiveness of team-based learning (TBL) versus lecture-based instruction.
- To assess the impact of TBL on student learning outcomes and confidence.
Main Methods:
- A crossover study design involving 30 students across two sections.
- Students received instruction on therapeutic topics via both TBL and lecture formats.
- Learning outcomes were assessed through examinations, and student confidence was measured via a Likert scale survey.
Main Results:
- Team-based learning resulted in significantly higher overall examination scores compared to lectures.
- Students reported increased confidence in providing therapeutic recommendations after TBL.
- TBL also showed higher survey scores related to critical-thinking skills and therapeutic knowledge.
Conclusions:
- Team-based learning enhances both learning outcomes and student confidence in higher-order tasks.
- The study demonstrates the efficacy of TBL as a superior pedagogical strategy in this context.
More Related Videos
Related Concept Videos
01:13Randomized Experiments
9.2K
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...
Simple randomization
Simple...
9.2K
01:16Crossover Experiments
4.7K
Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
4.7K
01:20Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
349
Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to subjects...
349
01:15Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
364
Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
364
01:09Comparing Experimental Results: Student's t-Test
6.2K
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...
6.2K
02:01Group Design
11.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
11.0K