Related Experiment Video
Updated: Jan 1, 2026

Author Spotlight: Innovations in iTUG Test for Enhanced Risk Assessment and Cognitive Insights
Published on: October 25, 2024
Using Testing as a Learning Tool
Brenda W Yang1, Juan Razo2, Adam M Persky2,3
1Duke University, Psychology and Neuroscience, Center for Cognitive Neuroscience, Durham, North Carolina.
Abstract:
Objective. The purpose of this review is to discuss some principles from cognitive psychology regarding the benefits of testing and translate those findings into practical applications for instruction and studying. Findings. Testing or retrieval practice is superior to re-study for promoting long-term retention. The benefits of testing can be see with open-ended responses (eg, cued or free recall) and multiple choice questions. The use of multiple-choice questions during testing may have an additional benefit as it may stabilize information that is stored in memory but temporarily inaccessible due to disuse (eg, marginal knowledge). Summary. Testing can have multiple learning benefits. We emphasize that incorporating opportunities for retrieval after teaching is an essential component of lasting learning. In addition, retrieval practice can be incorporated in all aspects of instruction.
More Related Videos
07:31A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
Published on: February 13, 2020
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
Related Concept Videos
Statistical Hypothesis Testing
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
Comparing Experimental Results: Student's t-Test
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
Types of Hypothesis Testing
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p...
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
Introduction to Test of Independence
The test statistic for a test of independence is similar to that of a goodness-of-fit test: