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

Decision Making: P-value Method01:09

Decision Making: P-value Method

5.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.6K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.1K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Decision Making01:20

Decision Making

182
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
182
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis01:24

Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis

1.6K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
1.6K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

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

1.8K
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,...
1.8K
Heuristics01:21

Heuristics

132
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
132

You might also read

Related Articles

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

Sort by
Same author

Structure-aware medical image fusion via mean curvature enhancement in the contourlet domain.

PloS one·2025
Same author

An optimized stacking-based TinyML model for attack detection in IoT networks.

PloS one·2025
Same author

Towards a secure Metaverse: Leveraging hybrid model for IoT anomaly detection.

PloS one·2025
Same author

Brain microglia activation and peripheral adaptive immunity in Parkinson's disease: a multimodal PET study.

Journal of neuroinflammation·2022
Same author

Telemetry Data Compression Algorithm Using Balanced Recurrent Neural Network and Deep Learning.

Computational intelligence and neuroscience·2022
Same author

Patient Behavioral Analysis with Smart Healthcare and IoT.

Behavioural neurology·2021

Related Experiment Video

Updated: Aug 25, 2025

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

3.7K

Multi-criteria decision making for determining best teaching method using fuzzy analytical hierarchy process.

Sheng-Li Xu1, Tang Yeyao2, Mohammad Shabaz3

  • 1School of Education Science, Nanjing Normal University, Nanjing, 210097 Jiangsu China.

Soft Computing
|October 17, 2022
PubMed
Summary

The Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method effectively evaluated online teaching strategies during COVID-19. This approach aids in selecting the most efficient and effective instructional methods for educational decision-making.

Keywords:
Epidemic situationFuzzy AHPInformation technologyTeachingTeaching methods

More Related Videos

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.0K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

Related Experiment Videos

Last Updated: Aug 25, 2025

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

3.7K
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.0K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.8K

Area of Science:

  • Education Technology
  • Information Science

Background:

  • COVID-19 accelerated the global adoption of online education.
  • Information technology and big data significantly impacted teaching and learning processes.
  • The rapid shift to online learning presented challenges for students and educational management.

Purpose of the Study:

  • To evaluate and select the most effective instructional methods for online education.
  • To address the complexities and uncertainties in choosing appropriate teaching techniques.
  • To apply a decision-making framework for optimizing online learning strategies.

Main Methods:

  • Utilized the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) for evaluating instructional methods.
  • Assessed four distinct teaching approaches against seven key criteria.
  • Employed the geometric mean method within Fuzzy AHP to manage uncertainty and simplify selection.

Main Results:

  • The Fuzzy AHP method proved to be a powerful tool for decision-making in education.
  • Demonstrated efficiency and effectiveness in identifying optimal instructional strategies.
  • Successfully simplified the complex process of selecting the best teaching approach.

Conclusions:

  • Fuzzy AHP is a viable and successful method for educational decision-making, particularly in uncertain environments.
  • The study highlights the importance of structured evaluation for online teaching methods.
  • Informed selection of instructional strategies can enhance the quality of online education.