Application research of college English autonomous learning based on cloud computing

2021 ◽  
Author(s):  
Yuan Ma
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jinxia Zhu ◽  
Changgui Zhu ◽  
Sang-Bing Tsai

At present, a new round of scientific and technological revolution and industrial transformation with information technology at its core are accelerating. At present, a new round of scientific and technological revolution and industrial transformation with information technology at its core is accelerating. The challenge of new economy and new industry has put forward new requirements for the training of talents in China. The challenges of new economy and new industry have put forward new requirements for the cultivation of engineering talents in China. Based on corpus, this study constructed a model of intelligent English teaching assisted by virtual corpus. The traditional teaching of college English reading is based on, around, and for texts. Using DDL model, teachers can break the limitation of textbooks. On the basis of analyzing the general idea of the text, they can search out massive real corpus related to the general idea of the text by searching the core words in the text, so as to provide extensive reading resources for students in the maximum range. At the same time, teachers can rely on the corpus to design different types of teaching activities, realize student-centered task-based, inquiry-based, and autonomous learning and cultivate students’ critical thinking ability, practical ability, and cross-cultural communication ability. This model breaks the limitation of “classroom + textbook,” realizes student-centered task-based, exploratory, and autonomous learning, trains interdisciplinary new engineering talents needed by emerging industries and new economy in the future, and promotes the sustainable development of English teaching. Corpus-data-driven college English teaching mode breaks the limitation of “classroom + textbook,” changes the traditional college English teaching mode, and realizes student-centered task-oriented, inquiry-based, and autonomous learning.


2014 ◽  
Vol 687-691 ◽  
pp. 2300-2303
Author(s):  
Yu Mei Zhou ◽  
Wan Qing Yang

With the rapid development of information technology, the network has become an important teaching aids, and innovative teaching mode of college English. This article studies the construction of English autonomous learning platform. First, discussed the theoretical basis that needed by building autonomous learning platform for college English; Secondly, the relevant theoretical principles as a basis for the overall platform architecture, including learning tools, learning resources, exchange platform, test and evaluation platform and so on; Finally, proposed optimization strategy on the basis of the characteristics summarized platform and deficiencies. Use of network information technology to build college English autonomous learning platform provide students with a wealth of English resources, so studying the construction of English autonomous learning platform based on network has great significance.


Author(s):  
Zhaohui Dai

This study investigated the effectiveness of college English blended education under MOOCs philosophy in China. The findings suggest that many features of MOOCs philosophy are evident in college English blended education and eight factors influence effectiveness. Relationships of the influencing factors demonstrate that interactions and evaluations are highly influencing factors in autonomous learning and motivations exert high influences on autonomous learning. However, students have low motivation in interaction and evaluation, for they are more extrinsically than intrinsically motivated. And also, collaborative learning is the least influencing factor in the study. To motivate the students, great emphasis should be laid on interactions and evaluation in student's autonomous learning. Moreover, students' negative attitude towards autonomous learning hampers their adaptability to college English blended learning, and, as attitude and motivation are highly related, this deserves equal attention.


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