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Optimization of College English Classroom Teaching Efficiency by Deep Learning SDD Algorithm.
1Department of Preschool Education, Hebei Women's Vocational College, Shijiazhuang 050000, China.
Computational Intelligence and Neuroscience
|January 31, 2022
Summary
This study optimizes the Mobilenet-Single Shot MultiBox Detector (Mobilenet-SSD) for English classrooms, improving student behavior detection accuracy to 82.13%. The enhanced algorithm supports teachers by providing technical insights into student learning status.
Area of Science:
- Artificial Intelligence
- Computer Vision
- Educational Technology
Background:
- Improving English teaching efficiency requires effective monitoring of student engagement and behavior.
- Existing deep learning target detection algorithms like Single Shot MultiBox Detector (SSD) have limitations in parameter efficiency and small object detection.
Purpose of the Study:
- To optimize the Mobilenet-SSD algorithm for enhanced detection of student behaviors in English classrooms.
- To address the shortcomings of large parameter counts and poor small target detection in the original Mobilenet-SSD.
Main Methods:
- Optimization of the deep learning Single Shot MultiBox Detector (SSD) algorithm.
- Design and implementation of the optimized Mobilenet-Single Shot MultiBox Detector (Mobilenet-SSD).
- Experimental analysis of student behavior, including writing activities.
Main Results:
- The optimized Mobilenet-SSD achieved an average detection accuracy of 82.13% for student behaviors.
- The algorithm demonstrated a detection speed of 23.5 frames per second.
- Student writing behavior was detected with 81.11% accuracy, showing improved small target recognition.
Conclusions:
- The optimized algorithm enhances detection accuracy for small targets without compromising operational speed.
- The developed algorithm offers superior detection accuracy compared to previous methods.
- This provides modern technical support for English teachers to assess student learning status, significantly improving teaching efficiency.
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