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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Clinical Trials: Overview01:11

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Trial and Error and Algorithm01:12

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Random Variables01:09

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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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Randomized Experiments01:13

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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.
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Related Experiment Video

Updated: Jan 21, 2026

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
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Adaptive instruction and learner interactivity in online learning: a randomized trial.

David O Warner1, Margaret Nolan2, Annery Garcia-Marcinkiewicz2

  • 1Mayo Clinic College of Medicine and Science, 200 1st Street SW, Rochester, MN, 55906, USA. warner.david@mayo.edu.

Advances in Health Sciences Education : Theory and Practice
|August 3, 2019
PubMed
Summary
This summary is machine-generated.

Adapting online learning to prior knowledge improved efficiency for surgical specialists learning tobacco interventions. Interactivity features did not significantly impact self-efficacy in delivering these interventions.

Keywords:
Adaptive instructionLearner interactivityOnline learningTobacco control

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Area of Science:

  • Medical Education
  • Health Professions Education
  • Online Learning

Background:

  • Effective perioperative tobacco interventions are crucial for surgical patient outcomes.
  • Online learning modules offer a scalable approach to train healthcare professionals.

Purpose of the Study:

  • To evaluate the impact of adaptive learning and interactivity on knowledge and self-efficacy in online tobacco intervention training for surgical specialists.
  • To determine the efficiency of online learning modules based on instructional design.

Main Methods:

  • A 2x2 factorial design was used to create online modules with adaptive/non-adaptive and high/low interactivity features.
  • Anesthesiology residents (n=114) were randomly assigned to module formats.
  • Outcomes measured included tobacco knowledge, completion time, and self-efficacy.

Main Results:

  • Adaptive learning formats significantly reduced module completion time and increased knowledge efficiency.
  • No significant differences in tobacco knowledge scores were found between adaptive and non-adaptive formats.
  • Interactivity levels did not significantly affect self-efficacy in delivering tobacco interventions.

Conclusions:

  • Adapting online instruction to learner prior knowledge enhances learning efficiency and is recommended.
  • Incorporating interactive features in online courses does not guarantee improved learning outcomes or self-efficacy.