Research on the Application of Big Data in College English Personalized Teaching

The aim is to deeply understand the current situation of College English Teaching (CET). By consulting the theories of Deep Learning (DL) and Edge Computing (EC), this work designs a Questionnaire Survey (QS) to understand the current situation of college English learning and teaching. Then, Adaptive Deep Learning (ADL) and EC are introduced into CET. Finally, the corresponding conclusions and suggestions are drawn. Specifically, the purpose and time of college students’ vocabulary learning are investigated. The results suggest that students’ English vocabulary learning is shallow. They have not really mastered the meaning and usage of vocabulary. Simultaneously, teachers’ vocabulary teaching methods are analyzed from three aspects: root affixes, vocabulary collocation, or repeated reading and memory. The teaching method is excellent from the teacher’s perspective but far from perfect from the students’ perspective. Introducing ADL and EC into CET enhances students’ class concentration time, homework submission efficiency, and academic performance. More than half of the students believe that the new teaching method introducing ADL and EC can make them more confident and motivated in English learning. Therefore, it has great reference significance for applying ADL and EC in CET.

With the increasing competition of international talents, cultivating college students' ability of thinking has become the core content of college English teaching, and it has a very important role for students to work and develop in the future. At present, however, there are still many problems in the practice teaching process of college English teaching and learning ability training mode in China. Therefore, this article starts from the basic concept of thinking ability, and analyzes the importance of thinking ability in the college English teaching. Combining the current situation of college English teaching on the students' thinking ability, further explore how to effectively construct the training mode of English teaching ability, in order to improve the efficiency of college English classroom teaching.

With the continuous updating of educational concepts, diversified teaching methods have been introduced into college English teaching. This paper focuses on the application of game teaching in college English vocabulary teaching in art colleges, starting from the current situation of college English vocabulary teaching in art colleges, and analyzing the advantages of its application as well as the specific strategies, aiming at providing a new way of thinking for improving the quality of college English vocabulary teaching in art colleges, stimulating the interest and enthusiasm of art students in learning English vocabulary, and improving their vocabulary mastery level.

English teaching has an important position in the teaching of all subjects and disciplines in universities. The urgency and importance of cultivating high quality, multidisciplinary and international talents have been mentioned many times in the relevant documents of the Ministry of Education. With the deepening integration of the global economy, people with language, English and vocational skills have a great advantage in acquiring advanced knowledge, understanding advanced foreign ideas and skills, and connecting with the international community. It is evident that in the new era, English teaching in colleges and universities will play an increasingly important role in the cultivation of quality and qualified personnel, and the quality of English teaching in colleges and universities should be monitored and guided by a sound teaching quality assessment system. This paper discusses the current situation and specific problems in assessing the quality of English teaching in colleges and universities and, on the basis of careful comparison and analysis, discusses the principles that should be followed in assessing the quality of English teaching in colleges and universities, namely: advanced teaching management concepts as a guide and emphasis on differentiated teaching assessment. The report also analyses countermeasures to improve the existing assessment of English teaching quality in colleges and universities, which should emphasize the building of faculty, promote the reform of assessment methods, enrich assessment themes and strengthen the support of information technology such as big data. Institutions should also coordinate their activities, provide reasonable protection in terms of systems and funding, and pay attention to communication with employers to enhance the use of social forces to assess the quality of English teaching in higher education. To a certain extent, this study enriches the theoretical research on the assessment of the quality of English teaching in universities and can be used as a reference for strengthening and improving the assessment of the quality of English teaching in universities at this stage.

AbsrtactUnder the background of the development of big data, the mixed teaching mode has been widely used in college English teaching, which can make full use of the advantages of big data and realize the sharing of teaching resources. Especially for the English teaching of science and engineering major, the application of big data can provide students with more opportunities for autonomous learning and practical application, which greatly enhances the English thinking ability, inquiry ability and application ability of college students. This paper analyzes the role of hybrid teaching in college English teaching under big data, probes into the present situation of hybrid teaching, and puts forward the strategy of applying hybrid teaching in college English.

Big data applications and analytics are vital in proposing ultimate strategic decisions. The existing literature emphasizes that big data applications and analytics can empower those who apply Big Data Analytics during the COVID-19 pandemic. This paper reviews the existing literature specializing in big data applications pre and peri-COVID-19. A comparison between Pre and Peri of the pandemic for using Big Data applications is presented. The comparison is expanded to four highly recognized industry fields: Healthcare, Education, Transportation, and Banking. A discussion on the effectiveness of the four major types of data analytics across the mentioned industries is highlighted. Hence, this paper provides an illustrative description of the importance of big data applications in the era of COVID-19, as well as aligning the applications to their relevant big data analytics models. This review paper concludes that applying the ultimate big data applications and their associated data analytics models can harness the significant limitations faced by organizations during one of the most fateful pandemics worldwide. Future work will conduct a systematic literature review and a comparative analysis of the existing Big Data Systems and models. Moreover, future work will investigate the critical challenges of Big Data Analytics and applications during the COVID-19 pandemic.

The rapid development of information technology has provided a new opportunity for the development of college English teaching in China. Under the background of informationization, the reform of college English teaching can meet the students' demand for individualized and differentiated learning. This paper analyzes the current situation of college English teaching and English teaching mode of information technology, and puts forward the strategy of English teaching reform under the background of informationization, in order to improve students’ English proficiency in all aspects and promote the rapid development of English education and teaching in colleges and universities.

The advent of the era of globalization has made people’s social interactions cross the boundaries between regions and nations, therefore, foreign language teaching is particularly important in this context. Mastering new ways of communication is only the surface value of foreign language learning, increasing new thinking modes and improving thinking skill are the deep value of foreign language learning. This paper takes college English teaching and thinking mode as the starting point to study the foreign language education in colleges and universities under the background of globalization. Based on behaviorist psychology, this paper investigates and analyzes the current situation of college English teaching and college students’ thinking mode transformation, and puts forward reform methods for college English teaching which serves the transformation of students’ thinking mode. The research results show that there is a divergence between current college English teaching and the transformation of college students’ thinking mode. To promote the transformation of college students’ thinking, college English teaching should be reformed from three aspects: teaching concept, teaching content and teaching method. This research enriches the theoretical research of college English teaching and has important and far-reaching significance for the reform of college English practice teaching.

Traditional university English classroom teaching has undergone radical changes in the context of big data, with new trends in the teaching mode of teachers, the learning mode of students, and the interaction mode of teachers and students. In order to keep up with the development of society, university English cannot remain stagnant and cannot continue to adopt traditional teaching and learning methods. In order to keep up with the development of society and meet its requirements, university English courses should be combined with big data technology to improve the quality of university English. Classroom engagement can attract students’ attention and motivate them to learn, thus improving the quality of university English teaching. This paper elaborates on the changes in university English teaching methods in the context of big data from the changes and role of the English classroom and investigates and analyzes 228 students’ evaluations of the English classroom in our university to further propose ways to improve the teaching methods in the university English classroom. Strategies. This paper discusses how the application of big data technology can assist university English classroom teaching, providing an effective reference for the more efficient use of information technology to help university English classroom teaching in the future and enriching the theoretical basis for university English classroom teaching.

The excellent traditional Chinese culture is the essence of the wisdom and experience accumulated by the Chinese people in the long history, and has a subtle influence on the development of college students’ outlook on life and values. Integrating Chinese excellent traditional culture into Essential English teaching in colleges and universities is the need for cultivating the cultural self-confidence of modern college students, and also the need for inheriting and promoting Chinese excellent traditional culture. Aiming at the current situation of Essential English teaching in colleges and universities, this paper analyzes the necessity and existing problems of integrating traditional culture into Essential English teaching in universities, and puts forward the implementation path of integrating Chinese excellent traditional culture into Essential English teaching in universities to stimulate Students’ cultural awareness, national self-esteem and self-confidence.

along with our country education reform, University Chinese College English teachinghas also undergone changes and the corresponding development, and achieved certain results.University English teaching to cultivate students' comprehensive ability of using English and the ability of autonomous learning, challenges to deal with the teaching of colleges and universitiesare facing to a thorough understanding of the current situation, based in the university English Teaching in Universities of our country, for further improving. This paper will make an investigation on the current situation of English Teaching in Colleges and universities of our country University analysis, discussion on the reform of university English teaching and the direction of development.

Chapter 7 - Public Transportation Big Data Mining and Analysis

Different modes of thinking reflect differences in language expressions, and differences between Chinese and American modes of thinking are important factors influence English teaching and learning in universities and colleges as well. Therefore, this paper discusses the differences between Chinese and American modes of thinking and these differences on English teaching in universities and colleges in the aspects of vocabularies, sentences and texts as well as negative transfer of differences in modes of thinking on English learning. The purpose of this paper is to propose some implications of differences between Chinese and English modes of thinking for English teaching and learning in universities and colleges. This paper is a documentary and qualitative research. It can be resulted from this paper that the basic goals of English teaching in universities and colleges are training students' modes of thinking and strengthening their senses of language, and teachers in universities and colleges should make full use of Chinese and English different modes of thinking in order to improve English teaching effect in universities and colleges as well as constantly improve students' comprehensive abilities of using English in daily communications.

With the increasing popularity of big data technology in the field of education, its application in college English courses and the corresponding challenges have become an important issue in education research. This study aims to explore the application of big data in college English teaching and assess its potential to improve teaching quality and learning outcomes. Data on teachers’ and students’ attitudes, knowledge level, and frequency of use of big data technology were collected through questionnaires. Based on these data, a predictive model was constructed to analyze the relationship between these factors and attitudes toward big data technology. The study found that the level of knowledge and the frequency of use had a significant impact on the attitudes of teachers and students. In addition, by evaluating the effectiveness of the model, we confirm its potential value in practical teaching applications. These findings are of great significance for understanding and improving the application of big data in college English education, and provide valuable insights for the development and application of educational technology in the future.

Cloud computing and big data: Technologies and applications