RETRACTED ARTICLE: Artificial intelligence facial recognition and voice anomaly detection in the application of English MOOC teaching system

Abstract

As a direct and effective biometric technology that follows human life habits, facial recognition has gradually become a mainstream, stable and reliable recognition method in the process of further development of science and technology. Facial recognition is a kind of biometric authentication based on recognition technology that is an original biological characteristic. After collecting the biometric functions, use a computer for digital image processing and template matching to complete the process of facial recognition. In the face of MOOC, establish a high-quality resource sharing mechanism, use this opportunity to explore innovative education models, and truly feel the strong momentum of traditional Chinese higher education, which has greatly improved the quality of education in Chinese universities. In addition, in order to vigorously promote the internationalization of education in China, education scholars need to conduct a lot of in-depth research on MOOC. In this article, a demand-based testing method is used to establish a skin color distribution model for color image preprocessing, and then develop and construct according to the comprehensive analysis of the university English class in the MOOC platform implementation mechanism (including the establishment of basic principles of operation mechanism), thereby Become a guarantee and support for curriculum and education quality evaluation system. This article combines the characteristics of educational practice and MOOC education, takes college English courses as an example, studies its application mechanism, builds a MOOC platform, and continuously enhances students' interest in learning English, aiming to provide a practical reference for the reform of Chinese college English education.

College English Smart Classroom Learning Model Utilizing Data Mining Technology

“…The third step is to select the function of DM and the algorithm of DM. This step is the key step, since it determines the performance and effect of mining (Li & Zhang, 2023). The fourth step is to find interesting patterns, eliminate misleading patterns, evaluate patterns, express knowledge, and finally use the mined knowledge.…”

Research on intelligent attendance management system based on face recognition technology

“…Nowadays, cameras are installed in most school classrooms to monitor classrooms. Therefore, conducting attendance directly based on these surveillance cameras can save a lot of time and hardware costs, while also ensuring high accuracy and effectiveness [4]. This article adopts the method of setting up high-definition variable focus surveillance cameras in classrooms to conduct classroom attendance through facial recognition.…”

Intelligent Content Distribution System: A Machine Learning–Based Teaching Content Customization Method

“…To achieve personalized teaching, many machine learning-based methods have emerged in the field of educational technology in recent years [14][15][16]. By collecting and analyzing a large amount of learning data, including learning process, grades and feedback of students, machine learning algorithms gain insight into their learning needs and preferences to some extent [17][18][19][20], which enables the education system to provide students with more precise and personalized teaching content. In addition, based on students' learning progress and feedback, intelligent teaching systems dynamically adjust teaching strategies to continuously optimize teaching [21,22].…”