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Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

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Published on: December 15, 2023

An English course practice evaluation system based on multi-source mobile information and IoT technology.

Zhenlong Wang¹

¹Sanmenxia Polytechnic, Sanmenxia, China.

Peerj. Computer Science

|December 11, 2023

Summary

This study introduces an innovative English course evaluation system using multi-source mobile Internet of Things (IoT) technology. The system enhances English learning evaluation accuracy and optimizes teaching content for better educational outcomes.

Keywords:

English course practice Evaluation system K-means Mobile Internet of Things Self-attention

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Area of Science:

Educational Technology
Computer Science

Background:

The efficacy of online English courses hinges on quality evaluation.
Internet of Things (IoT) technology offers adaptable solutions for various industries.

Purpose of the Study:

To apply multi-source mobile IoT information technology to English course evaluation.
To enhance the performance and efficiency of English learning assessment.

Main Methods:

Designed an English course practical evaluation system using multi-source data.
Collected real-time student voice and behavioral data via mobile devices.
Utilized cloud computing and data mining for data analysis and feedback.

Main Results:

The developed evaluation system achieved an accuracy of 80.23%.
Demonstrated effective improvement in the efficiency of English learning evaluation.

Conclusions:

The system offers a novel approach to English teaching evaluation.
Provides a method to optimize English education content for real-world teaching environments.