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

Surveys02:16

Surveys

16.5K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
16.5K
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

8.2K
In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
8.2K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation

2.4K
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
2.4K
The Scientific Method02:40

The Scientific Method

64.5K
Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
64.5K
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

778
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
778
Systematic Sampling Method01:17

Systematic Sampling Method

12.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
12.3K

You might also read

Related Articles

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

Sort by
Same author

Economic Evaluations of Algorithm-Enabled Remote Monitoring of Adults With Cardiac Implantable Electronic Devices: Protocol for a Systematic Review.

JMIR research protocols·2026
Same author

"I've Never Really Thought about This…" - The Complexity of Patient Involvement in Education from the Teachers' Point of View.

Perspectives on medical education·2026
Same author

Addressing school absence in clinical practice.

Archives of disease in childhood·2026
Same author

Effectiveness and Theoretical Foundations of mHealth Apps for Physical Activity, Healthy Eating, and Weight Loss: Protocol for a Systematic Review and Meta-Analysis.

JMIR research protocols·2026
Same author

Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.

Communications medicine·2026
Same author

Mobile apps for psychotic disorders: a systematic review protocol.

Systematic reviews·2026
Same journal

Correction: Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey.

Journal of medical Internet research·2026
Same journal

A Futures Framework for Clinical AI Governance: Anticipating Emerging Risks, Shifting Roles, and Regulatory Challenges.

Journal of medical Internet research·2026
Same journal

Using a Large Language Model to Support Thematic Analysis of Patient Experiences in Chronic Illness Management: Comparative Qualitative Study.

Journal of medical Internet research·2026
Same journal

Combined Internet-Based Cognitive Behavioral Therapy and Face-to-Face Physiotherapy in Primary Health Care for Chronic Widespread Pain: Randomized Controlled Trial.

Journal of medical Internet research·2026
Same journal

Operationalizing Digital Health Equity in Artificial Intelligence-Enabled Patient Decision Aids for Older Adults: Mixed Methods Study.

Journal of medical Internet research·2026
Same journal

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study.

Journal of medical Internet research·2026
See all related articles

Related Experiment Video

Updated: Dec 23, 2025

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

920

Massive Open Online Course Evaluation Methods: Systematic Review.

Abrar Alturkistani1, Ching Lam2, Kimberley Foley1

  • 1Global Digital Health Unit, Imperial College London, London, United Kingdom.

Journal of Medical Internet Research
|April 28, 2020
PubMed
Summary
This summary is machine-generated.

This review identified current evaluation methods for Massive Open Online Courses (MOOCs). Future MOOC evaluations should use diverse data sources and analysis methods to reduce bias and improve study quality.

Keywords:
computer-assisted instructionlearningonline learning

More Related Videos

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

997
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

4.0K

Related Experiment Videos

Last Updated: Dec 23, 2025

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

920
Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering
04:12

Mixed Reality for Education MRE Implementation and Results in Online Classes for Engineering

Published on: June 23, 2023

997
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

4.0K

Area of Science:

  • Educational Technology
  • Online Learning
  • Research Methodology

Background:

  • Massive Open Online Courses (MOOCs) offer significant educational reach.
  • However, there is a lack of clarity regarding the evaluation methods employed in MOOC research.

Purpose of the Study:

  • To systematically review and identify current evaluation methodologies used in Massive Open Online Courses (MOOCs).
  • To provide insights for designing more robust future MOOC evaluation studies.

Main Methods:

  • A systematic literature search was conducted across seven databases (January 2008-October 2018).
  • Included studies were analyzed quantitatively and qualitatively for evaluation design, motivation, data collection, and analysis.
  • Study quality was assessed using established tools like the Cochrane Risk of Bias Tool and NIH quality assessment tools.

Main Results:

  • 33 studies were included, with 16 using quantitative, 11 qualitative, and 6 mixed methods designs.
  • Learner characteristics/behavior (16 studies) and learning outcomes/experiences (20 studies) were primary evaluation focuses.
  • Quantitative analysis methods, particularly descriptive and inferential statistics, were most prevalent.
  • Cross-sectional designs were common but often of low quality; RCTs and quasi-experimental designs generally had higher quality assessments.

Conclusions:

  • MOOC evaluation methods should align with specific research aims.
  • Bias in MOOC evaluations can be mitigated through pre-course measures and control of confounding variables.
  • Future research should incorporate a wider array of data sources and analytical techniques for comprehensive MOOC assessment.