Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Student t Distribution01:31

Student t Distribution

13.7K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
13.7K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

1.6K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

5.4K
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...
5.4K
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.5K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.5K
Inhaled Medications01:23

Inhaled Medications

775
Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
775
Learning Disabilities01:25

Learning Disabilities

587
Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
Dyslexia
Dyslexia is a...
587

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Variation in rates of post-operative oncological treatment for patients with glioblastoma in England: a comprehensive multi-year National cohort study from the GlioCova project.

Journal of neuro-oncology·2026
Same author

Estimating post-operative complication rates in patients with primary brain tumours from routine administrative data: A national cohort study.

PloS one·2026
Same author

Understanding the difference in symptoms and outcomes between glioblastoma patients diagnosed based on histological or molecular criteria: a retrospective cohort analysis from the Histo-Mol GBM collaborative.

Journal of neuro-oncology·2026
Same author

Impact of COVID-19 on recorded blood pressure screening and hypertension management in England: an analysis of monthly changes in the quality and outcomes framework indicators in OpenSAFELY.

Open heart·2024
Same author

Overall survival following stereotactic radiosurgery for ten or more brain metastases: a systematic review and meta-analysis.

BMC cancer·2023
Same author

Changes in medication safety indicators in England throughout the covid-19 pandemic using OpenSAFELY: population based, retrospective cohort study of 57 million patients using federated analytics.

BMJ medicine·2023
Same journal

Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.

JMIR medical education·2026
Same journal

Digital Simulation-Based Ultrasound Training for Physiotherapy Students: Prospective Randomized Controlled Trial.

JMIR medical education·2026
Same journal

Exploring Ambient Artificial Intelligence to Enhance Learning and Feedback During Operating Room-to-Intensive Care Unit Handoffs: Co-Design and Simulation Study.

JMIR medical education·2026
Same journal

Voice Cloning Using AI vs Traditional Audio Recording for Prerecorded Courses in Medical Pedagogy: Randomized Controlled Trial.

JMIR medical education·2026
Same journal

Parenthood in US Medical Training Across Specialty Groups: Scoping Review.

JMIR medical education·2026
Same journal

User Acceptance of an AI-Powered Medical History-Taking Training System Among Undergraduate Medical Students: Mixed Methods Study.

JMIR medical education·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K

Computer Programming: Should Medical Students Be Learning It?

Caroline E Morton1, Susan F Smith1, Tommy Lwin2

  • 1Medical Education Research Unit, School of Medicine, Imperial College London, London, United Kingdom.

JMIR Medical Education
|March 23, 2019
PubMed
Summary
This summary is machine-generated.

Medical students can learn basic computer programming (coding) in a 2-day course. This skill is valuable for future doctors in medicine, research, and innovation.

Keywords:
codingmedical educationundergraduate curriculum

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.4K
Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program
08:59

Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program

Published on: February 25, 2015

28.6K

Related Experiment Videos

Last Updated: Jan 27, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

4.2K
Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

3.4K
Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program
08:59

Method of Isolated Ex Vivo Lung Perfusion in a Rat Model: Lessons Learned from Developing a Rat EVLP Program

Published on: February 25, 2015

28.6K

Area of Science:

  • Medical Education
  • Health Informatics
  • Computational Medicine

Background:

  • Computer programming (coding) is increasingly recognized as a vital life skill.
  • Medical students typically lack coding proficiency, with current computer literacy focusing on software use and internet safety.
  • There is a need to equip doctors with coding skills for developing innovative health technologies and improving efficiency.

Purpose of the Study:

  • To determine if undergraduate medical students can learn basic coding in a 2-day course.
  • To assess students' perceptions of the value of learning coding in medical school.
  • To understand if students consider coding an important skill for future medical practice.

Main Methods:

  • A short coding course was developed for self-selected medical students, including a 2-day introduction to software development and computational thinking.
  • Students engaged in a 3-week self-study period to complete a project.
  • Focus groups were conducted to explore students' views on incorporating coding into the undergraduate medical curriculum.

Main Results:

  • Novice medical students successfully acquired sufficient coding skills to create simple clinical programs within 2 days of intensive instruction.
  • Focus groups revealed six key themes: understanding coding, skill development, value in medicine/research/business, teaching coding in medical schools, enjoyable challenge, and course design feedback.

Conclusions:

  • Usable coding skills can be acquired by medical students through a weekend course.
  • Students recognized the value of coding for personal projects, healthcare delivery, and research.
  • It was recommended that coding skills education be offered as an optional component of the medical curriculum.