Related Experiment Video
Updated: Sep 30, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
Online education satisfaction assessment based on cloud model and fuzzy TOPSIS
Xiuqin Xu1,2, Jialiang Xie1, Honghui Wang1
1College of Science, Jimei University, Xiamen, Fujian 361021 China.
This study introduces a fuzzy TOPSIS method using cloud models to assess online education satisfaction across colleges. The approach effectively ranks satisfaction levels, aiding future online learning strategies.
Area of Science:
- Educational Technology
- Artificial Intelligence
- Data Science
Background:
- Colleges rapidly adopted online education during COVID-19.
- Assessing student satisfaction is crucial for optimizing future online learning.
- Existing methods may not fully capture the nuances of large-scale satisfaction data.
Purpose of the Study:
- To develop and validate a novel method for ranking online education satisfaction.
- To evaluate student satisfaction across four college types using a large dataset.
- To propose a fuzzy TOPSIS method based on the cloud model for robust evaluation.
Main Methods:
- Built an evaluation system with 4 dimensions, 10 indicators, and 94 sub-indicators.
- Utilized cloud models for quantitative conversion of linguistic assessment data.
- Employed the entropy method for weight determination and fuzzy TOPSIS for ranking.
Main Results:
- The proposed fuzzy TOPSIS method effectively ranked online education satisfaction.
- Results aligned with student acceptance rates for post-epidemic online education.
- Increased qualitative evaluation of indicators correlated with higher college satisfaction.
Conclusions:
- The cloud model-based fuzzy TOPSIS method is practical and effective for assessing online education satisfaction.
- This approach offers a robust way to handle uncertainty in large-scale educational data.
- Findings support the strategic enhancement of online education in higher institutions.
More Related Videos
13:44Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
11:29Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Related Concept Videos
Self-Evaluation Maintenance Model
Response Surface Methodology
The process of RSM involves several key steps:
Social Loafing
Lazarus's Cognitive Appraisal Theory
Primary Appraisal:...
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Stereotype Content Model