RETRACTED: Design and implementation of college English multimedia aided teaching resources

Abstract

With the advancement of multimedia technology, a series of problems have emerged in the reform of college English teaching. How to use multimedia to assist college students in English learning has become a meaningful study. Multimedia-assisted instruction is a common method of teaching English. The design of multimedia-assisted English teaching resource software determines its development, management, evaluation and other aspects, so the design of multimedia platform plays a vital role in the effect of multimedia teaching. This paper will discuss the design and implementation of multimedia-assisted college English independent education resources from the perspective of knowledge classification. Through the content analysis, some problems exist in the design process of some college English multimedia teaching, and the status quo is analyzed. It also studies the difficulties of college students in the process of multimedia assisted learning, and how college students hope to design multimedia independent learning multimedia platform. Finally, the five knowledge classification learning theories of “listening, speaking, reading, writing and translating” can change the status quo, meet the needs of college students, and develop the knowledge of vocabulary, grammar and listening in college English. The design strategy of self-learning multimedia-assisted instruction and the design of college English self-learning multimedia teaching is briefly written.

[Retracted] Innovative Application of Sensor Combined with Speech Recognition Technology in College English Education in the Context of Artificial Intelligence

“…In the history of education development in our country, computer information technology provides great impetus for education reform, makes education work more efficient and effective, and makes education gradually fair and popular. In the era of artificial intelligence, these problems will be solved with the widespread application of catechism, adaptive learning systems, personal learning centers, intelligent tutors, etc., spawned by big data technology, computer vision, intelligent speech technology, and natural language processing technology [6]. The highly intelligent application of artificial intelligence in college English teaching is mainly reflected in the following aspects: Intelligent teaching assistant system: there is a great lack of empirical research on robots supporting foreign language learning in China.…”

The application of medical professional English multimedia teaching in clinical education (Enseñanza multimedia del inglés médico profesional en la educación sanitaria)

“…• Programas para crear presentaciones • Pizarras interactivas • Juegos de rol y muchos otros (Hu & Yao, 2021;Liao et al, 2018;Yinhua, 2021).…”

“…The use of multimedia tools is one of the ways to improve the English teaching efficiency. Such learning tools are widely used in all countries and are considered as essential in teaching foreign languages (Deng & Wang, 2021; Hu & Yao, 2021). Multimedia tools present information not only in text format but also with audio and video content, which intensifies the students’ intellectual activity, contributes to their creativity and makes distance learning possible, ensuring the continuous education.…”

“…Today, a large variety of multimedia tools are available to instructors of foreign languages, including English: video and audio content; electronic textbooks; presentation software; interactive whiteboards; role-playing games; and many others (Hu & Yao, 2021; Liao et al, 2018; Yinhua, 2021). …”

Evaluation of Factors Affecting Student Participation in Peer-Assisted English Learning Based on Online Education Platform

“…The interactive behavior analysis of PAEL 145 students from 3 classes of non-English majors in a university were chosen as the research objects to conduct interactive behavior analysis on students' online PAEL. According to the interactive content system of PAEL established above, the contents of online posts generated during students' online PAEL were collected, classified, and converted to analyze students' interactive behavior during online PAEL [10].…”