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Related Concept Videos

Systematic Sampling Method01:17

Systematic Sampling Method

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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...
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Review and Preview01:10

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
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Review and Preview01:13

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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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Random and Systematic Errors01:20

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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Propagation of Uncertainty from Systematic Error01:10

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
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Systematic Error: Methodological and Sampling Errors01:15

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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.
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Methods to Test Visual Attention Online
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Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review.

Kimberley Foley1, Abrar Alturkistani1, Alison Carter2

  • 1Global eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.

JMIR Research Protocols
|March 8, 2019
PubMed
Summary
This summary is machine-generated.

This study outlines a systematic review protocol to evaluate Massive Open Online Courses (MOOCs). The review will identify and analyze MOOC evaluation methods to improve course effectiveness and completion rates.

Keywords:
computer-assisted instructione-learning, educationeducation distancelearningonline learning

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Area of Science:

  • Educational Technology
  • Online Learning Research
  • Systematic Review Methodology

Background:

  • Massive Open Online Courses (MOOCs) are increasingly popular but suffer from low completion rates.
  • Effective evaluation methods are crucial for understanding MOOC impact but are not well-established.
  • There is a need to systematically review existing MOOC evaluation methodologies.

Purpose of the Study:

  • To establish a protocol for a systematic review focused on MOOC evaluation methods.
  • To guide the research process using the PRISMA-P guidelines and a PICO framework.
  • To answer the question: "What methods have been used to evaluate MOOCs?"

Main Methods:

  • Adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P).
  • Development of a Population, Intervention, Comparator, and Outcome (PICO) framework for search strategy.
  • Systematic review process encompassing literature search, article selection, data extraction, quality appraisal, analysis, and synthesis.

Main Results:

  • The systematic review is currently in the data analysis phase.
  • Data searches and abstraction were completed in October and November 2018.
  • The review is anticipated to be completed by March 2019.

Conclusions:

  • The systematic review will summarize current MOOC evaluation methods.
  • It will highlight the strengths and limitations of various evaluation approaches.
  • The study aims to identify literature gaps and suggest future research directions in MOOC evaluation.