scholarly journals Optimization Analysis and Implementation of Online Wisdom Teaching Mode in Cloud Classroom Based on Data Mining and Processing

2021 ◽  
Vol 16 (01) ◽  
pp. 205
Author(s):  
Jing Gao ◽  
Xiao-Guang Yue ◽  
Lulu Hao ◽  
M. James C. Crabbe ◽  
Otilia Manta ◽  
...  
Keyword(s):  
Online Education ◽  
Online Teaching ◽  
Recommendation System ◽  
Rapid Development ◽  
Internet Technology ◽  
Personalized Recommendation ◽  
Optimization Analysis ◽  
Teaching Mode ◽  
Internet Education ◽  
Effi Ciency

The rapid development of Internet technology and information technology is rapidly changing the way people think, recognize, live, work and learn. In the context of Internet + education, the emerging learning form of a cloud classroom has emerged. Cloud classroom refers to the process in which learners use the network as a way to obtain learning objectives and learning resources, communicate with teachers and other learners through the net-work, and build their own knowledge structure. Because it breaks the boundaries of time and space, it has the characteristics of freedom, high effi-ciency and extensiveness, and is quickly accepted by learners of different ag-es and occupations. The traditional cloud classroom teaching mode has no personalized recommendation module and cannot solve an information over-load problem. Therefore, this paper proposes a cloud classroom online teach-ing system under the personalized recommendation system. The system adopts a collaborative filtering recommendation algorithm, which helps to mine the potential preferences of users and thus complete more accurate recommendations. It not only highlights the core position of personalized curriculum recommendation in the field of online education, but also makes the cloud classroom online teaching mode more intelligent and meets the needs of intelligent teaching.

scholarly journals Personalized Recommendation Model of High-Quality Education Resources for College Students Based on Data Mining

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chaohua Fang ◽  
Qiuyun Lu
Keyword(s):  
Learning Process ◽  
Data Science ◽  
Recommendation System ◽  
Information Overload ◽  
Rapid Development ◽  
Learning Ability ◽  
Personalized Recommendation ◽  
Learning Resources ◽  
Learner Model ◽  
Internet Education

With the rapid development of information technology and data science, as well as the innovative concept of “Internet+” education, personalized e-learning has received widespread attention in school education and family education. The development of education informatization has led to a rapid increase in the number of online learning users and an explosion in the number of learning resources, which makes learners face the dilemma of “information overload” and “learning lost” in the learning process. In the personalized learning resource recommendation system, the most critical thing is the construction of the learner model. Currently, most learner models generally have a lack of scientific focus that they have a single method of obtaining dimensions, feature attributes, and low computational complexity. These problems may lead to disagreement between the learner’s learning ability and the difficulty of the recommended learning resources and may lead to the cognitive overload or disorientation of learners in the learning process. The purpose of this paper is to construct a learner model to support the above problems and to strongly support individual learning resources recommendation by learning the resource model which effectively reduces the problem of cold start and sparsity in the recommended process. In this paper, we analyze the behavioral data of learners in the learning process and extract three features of learner’s cognitive ability, knowledge level, and preference for learning of learner model analysis. Among them, the preference model of the learner is constructed using the ontology, and the semantic relation between the knowledge is better understood, and the interest of the student learning is discovered.

scholarly journals Use of Virtual Reality Technology in Animation Course Teaching

2021 ◽  
Vol 16 (17) ◽  
pp. 191
Author(s):  
Yuanyuan Ji
Keyword(s):  
Virtual Reality ◽  
Learning Strategies ◽  
Online Teaching ◽  
Teaching Practice ◽  
Teaching Method ◽  
Rapid Development ◽  
Colleges And Universities ◽  
Internet Technology ◽  
Virtual Reality Technology ◽  
Teaching Mode

With the rapid development of Internet technology, in consequence of the outbreak of COVID-19, colleges and universities have postponed the start of term, in order to protect the life safety of teachers and students. However, to avoid affecting students’ academic studies, colleges and universities have taken various virtual reality technologies to implement personalized online teaching on students. However, there are still some problems in actual teaching, such as the monotonous teaching mode of animation course, which results in students’ lack of practical animation operation ability; the lectures lay too much emphasis on the textbook content and the pedagogical knowledge in animation is not updated, etc. In our study, we will combine Animation Teaching mode with the educational concept of STEAM, and designs a teaching mode oriented to students’ needs. This teaching mode include five parts: analysis of students’ needs, analysis of learning goals, selection of learning strategies, design of learning activities and design of learning evaluation. At the same time, based on the American Customer Satisfaction Index (ACSI) Model, our study will also investigate student satisfaction from four dimensions: student expectations, students’ perceived quality, students’ perceived value and student loyalty, with a view to measure the effectiveness of this teaching model. Through the teaching practice, it is found that this teaching mode can significantly promote students’ grades and motivate their enthusiasm for learning. The students’ autonomic learning and mastery of professional knowledge are significantly superior to those of traditional multimedia teaching method. The proposed teaching mode offers an objective reference for the application of virtual reality technology in teaching.

scholarly journals Innovative Research on the Development of Online Education Mode of Internet Thinking Based on the Discrimination of Learning Attention under the Analysis of Head Posture

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Su Song ◽  
Fangzheng Wang
Keyword(s):  
Online Education ◽  
Online Teaching ◽  
Large Scale ◽  
Rapid Development ◽  
Internet Technology ◽  
Scale Model ◽  
Current Frame ◽  
Posture Analysis ◽  
Head Posture ◽  
Education In China

With the rapid development of Internet technology and the popularity of 5G and broadband, online education in China, especially mobile online education, is in full swing. Based on the development status of online education in China, this paper analyzes the innovative application of learning attention discrimination based on head posture analysis in the development of online education mode of Internet thinking. Learning attention is an important factor of students’ learning efficiency, which directly affects students’ learning effect. In order to effectively monitor students’ learning attention in online teaching, a method of distinguishing students’ learning attention based on head posture recognition is proposed. In the tracking process, as long as the head angle of the current frame is close to the head angle of the key frame in a certain scale model, the visual angle apparent model can reduce the error accumulation in large-scale tracking. A Dynamic Bayesian Network (DBN) model is used to reason students’ Learning Attention Goal (LAG), which combines the relationships among multiple LAGs, multiple students’ positions, multicamera face images, and so on. We measure the head posture through the similarity vector between the face image and multiple face categories without explicitly calculating the specific head posture value. The test results show that the proposed model can effectively detect students’ learning attention and has a good application prospect.

scholarly journals Research on the Mixed Teaching Mode of College English in the “Internet” Education Environment

2021 ◽  
Vol 236 ◽  
pp. 04002
Author(s):  
Yunhui Li
Keyword(s):  
Rapid Development ◽  
Colleges And Universities ◽  
The Internet ◽  
Financial Industry ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
Internet Education ◽  
Education Environment ◽  
Education Industry

China has entered the 21st century, the Internet has entered an era of rapid development, especially in recent years, with the emergence of five G, China’s Internet development has entered a new journey, with the rapid development of the Internet, China’s various industries can not do without the Internet, whether real estate, financial industry or even education industry. In recent years, under the influence of the newly created “Internet” education model, the English teaching methods of major colleges and universities have also undergone great reform. A new teaching mode, which combines the means of past education and teaching with modern information network, makes teaching no longer restricted by time and space. This kind of teaching mode can not only improve students’ interest in learning, meet the needs of modern students, but also improve the quality of English teaching in colleges and universities. This paper further discusses the mixed teaching mode of college English under the environment of Internet education.

Comparison of Two Modes in Engineering Drawing Teaching: Traditional Teaching and Multimedia NetworkTeaching

2011 ◽  
Vol 215 ◽  
pp. 68-71
Author(s):  
Ye Tao
Keyword(s):  
Online Teaching ◽  
Engineering Students ◽  
Rapid Development ◽  
Student Interest ◽  
Traditional Teaching ◽  
Online Counseling ◽  
Engineering Drawing ◽  
Teaching Mode ◽  
Network Teaching ◽  
Teachers And Students

In order to explore good teaching methods, the traditional teaching model and online teaching mode were compared and their own characteristics were analyzed. The results showed that two modes should be combined in order to better adapt to the current development of education rather than be not a single. Engineering drawing is a skill required of the basic course for engineering students. For many years, however, the blackboard, wall charts, models and other traditional teaching skills are very limited. With the rapid development of the electronics, information and communication technology, the online counseling system should be established without delay. Teachers and students, students and students can communicate well in the traditional teaching mode. Teachers can answer questions in time, however, the efficiency of class is low, and students cannot easily understand. Multimedia Network Teaching can improve teaching efficiency and enhance student interest in learning, which is important to the students’ spatial imagination. At the beginning, there are still something unsatisfactory.

scholarly journals The Discussion on the Countermeasures of the Ideological and Political Education in Colleges and Universities in the Internet Era

2019 ◽  
Vol 3 (4) ◽  
pp. 153
Author(s):  
Haige Wang
Keyword(s):  
Colleges And Universities ◽  
Internet Technology ◽  
Ideological And Political Education ◽  
Political Education ◽  
The Internet ◽  
Teaching Mode ◽  
Internet Education ◽  
Education Industry ◽  
Wide Range ◽  
The Impact

<p>Nowadays, the Internet technology has been widely used in various industries. The application of this technology can not only effectively promote the development of the industry, but also can fully improve the work efficiency of a wide range of industries. Besides, the application of the Internet technology in the education industry not only can innovate the teaching mode, but also can improve the students' learning efficiency. The ideological and political education plays an important role in education in colleges and universities. This paper mainly analyzes the impact of the Internet on the education and explores and discusses the strategy of the innovation of the ideological and political education under the age of the Internet education.</p>

scholarly journals Online Teaching of Secondary Vocational Education based on Constructivism

2021 ◽  
Vol 5 (7) ◽  
pp. 1-7
Author(s):  
Daozhi Chen ◽  
Jinghui Ling
Keyword(s):  
Online Education ◽  
Vocational Education ◽  
Online Teaching ◽  
Rapid Development ◽  
Development Trend ◽  
Vocational Teachers ◽  
Constructivist Learning Theory ◽  
Secondary Vocational Education ◽  
Personal Qualities ◽  
China’S Economy

Online teaching would become a development trend in the field of education. Based on the characteristics of online education and the theory of constructivism, the elements of online teaching would undergo fundamental changes which would certainly lead to revolutionary educational concepts, contents, designs, methods, etc. With the continuous rapid development of China’s economy, the scale of vocational education has expanded. In combination with the constructivist learning theory to explain the meaning of online education, analysis of the feasibility of secondary vocational education and their students, as well as the online education in secondary vocational schools, a feasible online teaching design is constructed for vocational teachers. Through research, it is found that the online teaching of secondary vocational education teachers based on constructivism requires improvement in some of their abilities and personal qualities.

scholarly journals A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Guangxia Xu ◽  
Zhijing Tang ◽  
Chuang Ma ◽  
Yanbing Liu ◽  
Mahmoud Daneshmand
Keyword(s):  
Collaborative Filtering ◽  
Traditional Method ◽  
Recommendation System ◽  
Rapid Development ◽  
Poor Performance ◽  
Mobile Internet ◽  
Personalized Recommendation ◽  
Recommendation Algorithm ◽  
Rating Data ◽  
Similarity Calculation

Complex and diverse information is flooding entire networks because of the rapid development of mobile Internet and information technology. Under this condition, it is difficult for a person to locate and access useful information for making decisions. Therefore, the personalized recommendation system which utilizes the user’s behaviour information to recommend interesting items emerged. Currently, collaborative filtering has been successfully utilized in personalized recommendation systems. However, under the condition of extremely sparse rating data, the traditional method of similarity between users is relatively simple. Moreover, it does not consider that the user’s interest will change over time, which results in poor performance. In this paper, a new similarity measure method which considers user confidence and time context is proposed to preferably improve the similarity calculation between users. Finally, the experimental results demonstrate that the proposed algorithm is suitable for the sparse data and effectively improves the prediction accuracy and enhances the recommendation quality at the same time.

scholarly journals A Context-Awareness Personalized Tourist Attraction Recommendation Algorithm

2016 ◽  
Vol 16 (6) ◽  
pp. 146-159 ◽  
Author(s):  
Zhijun Zhang ◽  
Huali Pan ◽  
Gongwen Xu ◽  
Yongkang Wang ◽  
Pengfei Zhang
Keyword(s):  
Social Relations ◽  
Recommendation System ◽  
Rapid Development ◽  
Geographic Location ◽  
Real Data ◽  
Personalized Recommendation ◽  
Data Sets ◽  
Tourist Attraction ◽  
Recommendation Algorithm ◽  
Tourism Information

Abstract With the rapid development of social networks, location based social network gradually rises. In order to retrieve user’s most preferred attractions from a large number of tourism information, personalized recommendation algorithm based on the geographic location has been widely concerned in academic and industry. Aiming at the problem of low accuracy in personalized tourism recommendation system, this paper presents a personalized algorithm for tourist attraction recommendation – RecUFG Algorithm, which combines user collaborative filtering technology with friends trust relationships and geographic context. This algorithm fully exploits social relations and trust friendship between users, and by means of the geographic information between user and attraction location, recommends users most interesting attractions. Experimental results on real data sets demonstrate the feasibility and effectiveness of the algorithm. Compared with the existing recommendation algorithm, it has a higher prediction accuracy and customer satisfaction.

scholarly journals New Online Teaching Mode of Higher Education with Information Technology

2017 ◽  
Vol 5 (11) ◽  
pp. 17-27
Author(s):  
Xin-Hong Wang ◽  
Jing-Ping Wang
Keyword(s):  
Higher Education ◽  
Collaborative Learning ◽  
Online Education ◽  
Resource Sharing ◽  
Online Teaching ◽  
Information Age ◽  
Learning Collaborative ◽  
Teaching Mode ◽  
Individualized Learning ◽  
Traditional Pattern

In this article, the current situation of online teaching of higher education in the information age was briefly described, and the characteristics of MOOC and SPOC was also analyzed and compared to propose and construct a new mode of post-MOOC online education based on "autonomous learning - collaborative learning – mixed learning and learning "SCH-SPOC teaching model; and taking the teaching of engineering graphics course exploration as an example, demonstrated the resource-sharing individualized learning mode, while co-teaching collaborative learning mode and flip classroom mixed learning The significance of the new model is to gradually break the traditional pattern of "full house".

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