scholarly journals An Experimental Study of Flipped Classroom English Teaching Based on Autonomous Learning Theory

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Min Yao
Keyword(s):  
Learning Theory ◽  
Flipped Classroom ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Classroom Teaching ◽  
English Learning ◽  
Positive Role ◽  
Learning Abilities ◽  
College English ◽  
Experimental Data Analysis

In order to improve students' English autonomous learning abilities, the study applied the flipped classroom teaching model based on autonomous learning theory. According to the experimental data analysis and the survey, it is found that flipped classroom teaching plays a more positive role in cultivating students' autonomous learning ability, improving their comprehensive Englishprofciency, and building their confdence and interest in college English learning.

scholarly journals Study on Cultivating College Students' English Autonomous Learning Ability under the Flipped Classroom Model

2020 ◽  
Vol 13 (6) ◽  
pp. 13
Author(s):  
Yanxia Du
Keyword(s):  
College Students ◽  
Flipped Classroom ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Self Management ◽  
Classroom Teaching ◽  
Teaching Model ◽  
College English ◽  
Management Learning ◽  
Self Learning

Since the 21st century, the cultivation and improvement of college students' English autonomous learning ability have become an important symbol of deepening the reform of College English teaching. The reform of teaching model is the critical to it. With the help of the self-constructed flipped classroom teaching model, this paper designs the corresponding teaching process, aiming at investigating the three dimensions of self-management learning ability, self-learning psychology and self-learning behavior of non-English majors. After the investigation and experiment on the control class and the experimental class for the whole semester, the experimental results show that the self-regulated learning model of College English based on the flipped classroom can greatly improve the comprehensive English level of College students, and the flipped classroom teaching model of College English can effectively improve the students' self-management learning ability, stimulate students 'motivation of autonomous learning and activate students' autonomous learning behavior. Thus, it opens up a new path for the cultivation of College Students 'autonomous learning ability.

scholarly journals College English Flipped Classroom Teaching Model Based on Big Data and Deep Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Heli Chang
Keyword(s):  
College Students ◽  
Flipped Classroom ◽  
Deep Neural Networks ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Classroom Teaching ◽  
Teaching Model ◽  
Traditional Teaching ◽  
Teaching Mode ◽  
College English

With the rapid development of information technology, flipped classroom as a new type of mixed teaching mode relying on computer technology has changed the traditional teaching mode and formed a teaching process of “learning first and teaching later,” and it has been used in many fields of teaching. Flipped classroom reverses the sequence of traditional teaching knowledge transfer and knowledge internalization and improves students’ autonomy. However, it is still in the exploratory stage of the specific impact of the flipped classroom teaching model on college students’ English autonomous learning ability. Therefore, this article proposes a novel college English flipped classroom teaching model based on big data and deep neural networks. The study has selected a total of 230 students in two classes of the second-year English major of a university as the research objects. Data are utilized to investigate the changes of the two groups of students’ English autonomous learning ability and English academic performance, to explore the specific changes of college students’ English autonomous learning ability and its influencing factors through interviews, and to predict and effectively analyze the weight of influencing factors through the deep neural network. This research enriches the theoretical research results of college students’ English autonomous learning ability under the flipped classroom teaching model, provides reference for the cultivation of college students’ English autonomous learning ability, and has certain reference significance for the optimization of the flipped classroom teaching model. The proposed research will support researchers and practitioners at college and university level.

scholarly journals On the Cultivation of Autonomous Learning Ability of College English

2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Xizhi Chu
Keyword(s):  
College Students ◽  
College Education ◽  
Self Control ◽  
Autonomous Learning ◽  
Learning Ability ◽  
English Learning ◽  
College English ◽  
Language Needs ◽  
Teaching Efficiency ◽  
Self Learning

<p>In college education, more emphasis is placed on the subjectivity and freedom of students, so weak self-control often affects the final learning effect in English learning. Learning foreign language needs patience, so how to cultivate college students' self-learning ability is one of the problems worth thinking about in the current education. The cultivation of students' autonomous learning ability will directly affect the teaching efficiency of teachers, so in the process of teaching, teachers should consciously cultivate students' autonomous awareness of English learning, so as to improve students' self-control ability and optimize the effect of English learning. This paper is mainly based on the current situation of college students' autonomous learning ability, and gives corresponding optimization strategies, in order to better enhance students' enthusiasm in English learning.</p>

scholarly journals Application of Large-Scale Cognitive Social Networks Based on Cooperative Transmission Mechanisms in Exploration of Flipped Classroom Teaching Strategy

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chen Zeng
Keyword(s):  
Flipped Classroom ◽  
Large Scale ◽  
Data Flow ◽  
Cooperative Transmission ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Classroom Teaching ◽  
Destination Node ◽  
Teaching Model ◽  
Node Distribution

With the deepening of the research on flipped classroom teaching theory, the flipped classroom teaching model has gradually been applied to classroom teaching at all levels and types of schools, and some beneficial results and experiences have been obtained. Due to the relatively low self-learning ability and motivation level of students, in the implementation of flipped classrooms, the quality of preclass self-study links is difficult to guarantee, resulting in unsatisfactory results of flipped classroom teaching in secondary vocational schools. This article aims to solve the current dilemma faced by the optimization of the flipped classroom teaching mode of programming courses by studying the course platform based on the flipped classroom teaching model. The source-destination node distribution is constructed with a model based on node affinity to restore the actual network node distribution architecture. The change in the distribution of source-destination nodes has led to different degrees of aggregation in the overall data flow of the network. After that, the capacity and delay performance of the primary network and the secondary network will change as the degree of data flow aggregation changes. By laying base stations in the main network, we reanalyzed the network. Through the comprehensive analysis of students’ learning status through the scores of students in class and the test situation after class, we modify the specific teaching plan of flipped classroom. Experiments have proved that the in-class flipping model we proposed effectively avoids the inherent shortcomings of students who are not strong in autonomous learning before class, solves the problem that secondary vocational students cannot do well in autonomous learning before class, and improves students to a certain extent. The results show that the flipped classroom teaching model in class can provide more powerful value for vocational teaching to achieve this goal.

scholarly journals Optimization of Flipped Classroom Teaching Model Based on Social Cognitive Network

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xinyue Wang
Keyword(s):  
Action Research ◽  
Network Analysis ◽  
Social Practice ◽  
Flipped Classroom ◽  
Autonomous Learning ◽  
Learning Ability ◽  
Classroom Teaching ◽  
Dynamic Feedback ◽  
Cognitive Network ◽  
Model Based

This article evaluates learners’ thinking in the complex environment of teaching level and cognitive construct process and examines learners within the framework of cognitive factors, as well as the degree of consistency in the training process, in the social practice as the teaching of teachers and students to provide timely and dynamic feedback, first of all to “evidence centered” education evaluation of design patterns and cognitive framework theory as the theoretical basis. An evaluation model based on learners’ cognitive network analysis is designed and constructed by integrating cognitive visualization analysis techniques such as network analysis. Secondly, at the beginning of action research, the teaching framework structure sequence is established under the guidance of the implementation model of flipped classroom, and the investigation results of the current situation are designed under the guidance of operational steps and organizational strategies, and categories and autonomous learning theories are divided, so as to preliminarily construct strategies to improve the ability of autonomous learning. Then through three rounds of iterative action research to improve the flip classroom teaching middle school students’ autonomous learning ability of teaching strategy, the interview method is used; the questionnaire and autonomous learning process to improve the students’ autonomous learning ability training effect evaluation questionnaire is analyzed, and finally a complete set of reverse ascending of classroom teaching is formed to improve students’ autonomous learning ability of effective classroom strategies.

scholarly journals On the Strategies to Cultivate College Students’ Autonomous English Learning Ability in the New Era

2020 ◽  
Vol 13 (11) ◽  
pp. 94
Author(s):  
Guoqiao Wang ◽  
Ligang Han
Keyword(s):  
College Students ◽  
Current Situation ◽  
Autonomous Learning ◽  
Learning Ability ◽  
English Learning ◽  
Network Environment ◽  
College English ◽  
New Era ◽  
English Teaching

The cultivation of students&rsquo; autonomous learning ability is one of the significant and essential tasks of college English teaching. In this paper, the current situation of college students&rsquo; insufficient autonomous English learning ability is thoroughly analyzed. Some effective and feasible strategies to cultivate students&rsquo; autonomous English learning ability are put forward based on the factors that influence this ability. Interaction, continuous thinking, cultural introduction and a good network environment are indispensable to develop and enhance this autonomous learning ability.

scholarly journals Application of Massive Open Online Course to Grammar Teaching for English Majors Based on Deep Learning

2022 ◽  
Vol 12 ◽  
Author(s):  
Minghui Du ◽  
Yiqun Qian
Keyword(s):  
Deep Learning ◽  
Foreign Language ◽  
Learning Ability ◽  
Classroom Teaching ◽  
English Learning ◽  
Massive Open Online ◽  
Teaching Resources ◽  
Grammar Teaching ◽  
English Grammar ◽  
New Knowledge

The study aims to explore the roles of Massive Open Online Courses (MOOCs) based on deep learning in college students’ English grammar teaching. The data are collected using a survey. After the experimental data are analyzed, it is found that students have a low sense of happiness and satisfaction and are unwilling to practice oral English and learn language points in English learning. They think that college English learning only meets the needs of CET-4 and CET-6 and does not take it as the ultimate learning goal. After the necessity and problems in English grammar teaching are discussed, the advantages of flipped classrooms of MOOCs are discussed in English grammar teaching. A teaching platform is constructed to study the foreign language teaching mode under MOOCs, and classroom teaching is combined with the advantages of MOOCs following the principle of “teaching students according to their personalities” to improve the listening, speaking, reading, writing, and translation skills of foreign language majors. The results show that high-quality online teaching resources and the deep learning-based teaching environment can provide a variety of interactive tools, by which students can communicate with their peers and teachers online. Sharing open online communication, classroom discussion, and situational simulation can enhance teachers’ deep learning ability, like the ability to communication and transfer thoughts. Constructivism with interaction as the core can help students grasp new knowledge easily. Extensive communication and interaction are important ways for learning and thinking. The new model provides students with profound learning experience, expands the teaching resources of MOOCs around the world, and maximizes the interaction between online and offline teachers and students, making knowledge widely rooted in the campus and realizing the combination of online resources and campus classroom teaching. Students can learn the knowledge through autonomous learning and discussion before class, which greatly broadens the learning time and space. In the classroom and after class, the internalization and sublimation of knowledge are completed through group cooperation, inquiry learning, scenario simulation, display, and evaluation, promoting students to know about new knowledge and highlighting the dominant position of students.

scholarly journals Convolutional Neural Network-Assisted Strategies for Improving Teaching Quality of College English Flipped Class

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Tiankun Liu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Student Behavior ◽  
Flipped Classroom ◽  
Classroom Behavior ◽  
Procedural Knowledge ◽  
Teaching Style ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
College English

The “flipped classroom” teaching paradigm not only follows the cognitive rules of the learners, but it also subverts and reverses the standard classroom teaching process. Problem-oriented, teacher-led, student-centered, and mixed teaching approaches are the key teaching methods in the flipped classroom teaching model, which focuses on students’ procedural knowledge acquisition and critical thinking training. There are a lot of studies on the specific practice path of the “flipped classroom” teaching style right now, but there are not many on the learning involvement of college English students in this approach. According to studies, the level of student participation in classroom learning is the most important factor limiting the efficiency of teaching. The lack of research in this subject greatly limits the “flipped classroom” teaching model’s ability to improve college English classroom teaching quality. The degree of engagement between teachers and students, the enthusiasm of students in class, and the competence of teachers to educate are all reflected in student conduct in the classroom. Understanding and evaluating the behaviors and activities of students in the classroom are helpful in determining the state of students in the classroom, as well as improving the flipped classroom teaching technique and quality. As a result, the convolutional neural network is used to recognize student behavior in the classroom. The loss function of VGG-16 has been enhanced, the distance inside the class has been lowered, the distance between classes has been increased, and the recognition accuracy has improved. Accurate recognition of classroom behavior is beneficial in developing methods to improve teaching quality.

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