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A Research on the Realization Algorithm of Internet of Things Function for Smart Education
1College of Health Engineering, Nanjing City Vocational College, Nanjing 211200, China.
Computational Intelligence and Neuroscience
|May 9, 2022
Summary
Smart education using the Internet of Things (IoT) enhances remote learning by analyzing student behavior. This innovative teaching method improves engagement and efficiency with high accuracy.
Area of Science:
- Educational Technology
- Computer Science
- Artificial Intelligence
Background:
- Traditional teaching methods often limit student engagement and interest.
- The Internet of Things (IoT) offers real-time information transmission, enabling new educational possibilities.
- Smart education integrates IoT with AI to create dynamic learning environments.
Purpose of the Study:
- To analyze the smart education model based on IoT for remote teaching.
- To investigate the reliability and accuracy of intelligent algorithms in IoT-based smart education terminals.
- To improve student interest and learning efficiency through advanced teaching methods.
Main Methods:
- Utilizing sensor technologies, including cameras, to collect student behavioral data (expressions, speech, actions).
- Processing collected data features using intelligent algorithms on terminal devices.
- Transmitting processed information to teacher terminals (computers, mobile phones) for analysis.
Main Results:
- The intelligent algorithm accurately processes student behavior information.
- Prediction error for student behavior information was within 3%.
- A high correlation coefficient of 0.99 was achieved, indicating strong reliability.
Conclusions:
- IoT-based smart education models are effective for remote teaching.
- Intelligent algorithms in IoT smart education terminals demonstrate high reliability and accuracy.
- This approach significantly enhances student learning interest and efficiency.
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