RETRACTED: Intelligent grading system based on deep learning

Abstract

According to the survey, off-line examination is still the main examination method in universities, primary and secondary schools. The grading processing of off-line examination is time-consuming. Besides, since the off-line grading is subjective, it is error-prone. In order to address the challenges in off-line examinations of universities, primary and secondary schools, it is very urgent to improve the efficiency of off-line grading. In order to realize intelligent grading for off-line examinations, we exploit deep learning techniques to off-line grading. First, we propose an image processing method for English letters. Second, we propose a image recognition method based on deep learning for English letters. Third, we propose a lightweight framework for grading. Based on the above designs, we design an intelligent grading system based on deep learning. We implement the system and the result shows that the intelligent grading system can batch grading efficiently. Besides, compared with related designs, the proposed system is more flexible and intelligent.

Research on English Reading Motivation and Its Influencing Factors in Social Network Environment

“…These platforms can not only break through geographical restrictions but also enable highly personalized education to meet the needs of different learners [6]. Specifically, Internet+ platforms provide globalized educational resources so that students can access teaching materials and knowledge from all over the world, thus gaining a broader perspective [7][8]. In addition, personalized learning has become possible, allowing students to customize their study plans according to their own learning needs and interests to improve their learning efficiency [9].…”