Analysis of the teaching quality using novel deep learning-based intelligent classroom teaching framework

2021 ◽  
Author(s):  
Feng Geng ◽  
Alfred Daniel John ◽  
Chandru Vignesh Chinnappan
Keyword(s):  
Deep Learning ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Intelligent Classroom

Model Design of Universal Open Intelligent Classroom Teaching Software

2012 ◽  
Vol 566 ◽  
pp. 207-212 ◽  
Author(s):  
Yan Yu ◽  
Jian Hua Wang
Keyword(s):  
Computer Technology ◽  
Teaching Effectiveness ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Model Structure ◽  
Model Design ◽  
Existing Problems ◽  
Teaching Efficiency ◽  
Education In China ◽  
Intelligent Classroom

This paper discusses the development of CAI and finds out the existing problems through the analysis of usage of teaching courseware in the class in the school education in China as well as the application of computer technology in current teaching. Meanwhile, it proposes the promotion of this universal open intelligent classroom teaching software in classroom teaching and a number of principles to follow in its design. Furthermore, the paper elaborates the model structure and detailed functions of each model of this software after full evaluation. The application of this universal open intelligent classroom teaching software will certainly improve teaching efficiency and enhance teaching effectiveness and teaching quality further.

scholarly journals Design and Research of Mathematics Teaching Intelligent Classroom Based on PCA-NN Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Baozhen Li ◽  
Lina Zhang
Keyword(s):  
Mathematics Teaching ◽  
Basic Education ◽  
Mathematics Classroom ◽  
Principal Component ◽  
Adaptive Strategy ◽  
Teaching Quality ◽  
Classroom Teaching ◽  
Classroom Design ◽  
Factors Affecting ◽  
Intelligent Classroom

With the increasing importance of mathematics in basic education, how to evaluate and analyze the intelligent effect of mathematics teaching classroom through scientific methods has become one of the indicators to evaluate the intelligent classroom. This paper studies the design and application of mathematics teaching intelligent classroom based on the PCA-NN (principal component analysis-neural network) algorithm. Firstly, this paper briefly describes the current research status of mathematics teaching intelligent classroom design and PCA-NN algorithm. Secondly, combined with the key factors of mathematics teaching, it formulates specific standards and puts forward an adaptive strategy of intelligent and personalized intelligent mathematics teaching classroom. Finally, the algorithm is verified by experiments. The results show that, for students with different mathematics basic levels, the mathematics teaching intelligent classroom based on the PCA-NN algorithm can effectively improve the quality of mathematics classroom teaching. Through the research on the factors such as teaching quality, effect, and interaction mode involved in the process of mathematics teaching classroom design, the intelligent classroom design factors affecting teaching quality are determined. This paper analyzes and studies the system from different angles. The research results provide some help for the current quality evaluation of classroom teaching and use the PCA-NN algorithm to make quantitative analysis and multivariate verification of mathematics classroom teaching effect.

scholarly journals The diversified teaching reform of The mixed flipped classroom Python Foundation course is aimed at deep learning

2020 ◽  
Vol 218 ◽  
pp. 02001
Author(s):  
Xiaoxu Xiao
Keyword(s):  
Deep Learning ◽  
Learning Community ◽  
Flipped Classroom ◽  
Teaching Quality ◽  
Independent Learning ◽  
Classroom Teaching ◽  
Teaching Mode ◽  
Teaching Resources ◽  
Teaching Reform ◽  
Teachers And Students

Under the background of deep learning, the reform of diversified teaching mode is related to the community of teachers and students, and the traditional one-way independent learning of students is transformed into interactive independent learning of teachers and students. Through the MOOC, SPOC, such as teaching case analysis, to explore how to build a hybrid flip classroom teaching mode, use of the advantages of various platforms together, fully applied to the classroom teaching, the reasonable using and sharing high quality teaching resources, to ensure the ability of the students’ learning and literacy, conducive to the students’ active learning and teacher’s guidance and the guidance of thinking, to increase the interaction between students and teachers, the construction of teachers and students “learning community” hybrid flip diversified teaching mode. This mode is applied in the teaching of Python Foundation course to promote the teaching reform of the course, help teachers improve the teaching quality, and provide reference for solving the problems faced by classroom teaching in colleges and universities as well as the teaching research of “MOOC+SPOC+ Flipped classroom” teaching mode.

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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