Analysis Of Teaching Effect Research Articles

Case Study of College English Listening Course by Foreign Teachers

More and more foreign teachers are employed in China to teach English since they have the natural advantage of native language. More often than not, the major courses taught by foreign teachers are English speaking and listening. A large number of facts and studies show that foreign teachers have the advantages of language and culture in oral English teaching, and have achieved some positive results. Whether in public or private education, foreign teachers are very popular with children and parents. There is no exception in our university, where some foreign teachers are employed to teach English listening and speaking for non-English majors and various courses for English majors. Through questionnaire and interview, this study investigates the satisfaction of foreign teachers’ listening class, and finds out the reasons why foreign teachers' listening class is popular. At the same time, classroom observation and discussion with teachers and students are conducted to explore the advantages and problems of foreign teachers’ instruction in English listening course, as well as the analysis of teaching effect, with the purpose of providing some reference for the instruction of college English listening course.

Current Situation and Practical Path of Cultivating Students’ Core Literacy in the Context of the New Era

Abstract In this paper, Bayesian estimation and Coleman filtering are used to compose a multidimensional data fusion algorithm to study the cultivation of students’ personalized core literacy. A Trans E model is constructed based on the calculation of students’ specific course ratings using collaborative filtering algorithms. Combining the knowledge graph and collaborative filtering methods, the similarities between the course and user ratings are calculated respectively. The user’s rating situation can be predicted by combining similarity. Through the empirical analysis method, the overall and specific competency dimensions of students’ core literacy and the effect of core literacy cultivation, as well as students’ satisfaction, were analyzed, and the corresponding practice paths were proposed based on the analysis results. The mean value of students’ core literacy test is 46.25, and the number of students scoring between 50-60 points is the largest, but the number of excellent students is 0, which is poor in the cultivation of core literacy. The analysis of the effect of core literacy cultivation shows that in the correlation analysis of teaching effect and teaching support, the p-value is less than 0.01, but most of the correlation coefficients are less than 0.35, and there exists a weak relationship between the two, and the school authorities should strengthen the teaching support of core literacy.

Research on the development of digitalization of art education in the era of big data technology

Abstract Exploring the digital development of art education can effectively enhance students’ creativity in art design. This paper constructs a digital teaching platform for art education based on big data technology and analyzes student learning behavior data in the teaching platform. For student learning behavior with a new Hawkes process for data extraction, the decomposition of the student learning effect is realized by data encoder, event-level decoder and course-level decoder. Performance tests and art teaching effect analysis were conducted for the platform built in this paper. From the performance test, the throughput of the test interface is 580 when the server CPU is maintained at about 26%, memory is maintained at about 48.62%, and load is maintained at about 4.7. From the teaching effect, the four dimensions of students’ creativity changes had significant differences; namely, the p-values of adventurousness, curiosity, imagination, and challenge were 0.189, 0.247, 0.076, and 0.425, respectively. This indicates that the digital teaching platform for art education built by using big data technology can effectively enhance students’ creativity and also provide a new direction for the digital development of art education.

Teaching Effect Analysis of the ‘Prefabricated Concrete Structure’ Course Based on Building Information Modeling

The prefabricated building course is a highly theoretical and practical specialized course with strong professionalism and extensive teaching contents. The teaching of prefabricated concrete structures is a significant link in prefabricated building construction and an important direction of cultivating talents applied to prefabricated building construction. Previous teaching features single teaching models, focuses on teaching materials, and highlights theoretical teaching, resulting in students’ low learning initiatives and poor practical ability. In order to improve the teaching effect and students' practical ability, Building Information Modeling (BIM) simulation technology was integrated into the teaching and practice of the prefabricated building courses. Then, the three-stage (guidance of real-scene cases, practical operation based on division of project work, and drawing cross-review) course teaching approach was proposed. With the construction of a prefabricated concrete structure in Hefei Metro of China as an example, students were asked to perform component modeling, assembly, and construction simulation via BIM. Results show that the teaching contents are completed, and the teaching effect is evidently strengthened. Students’ abilities to understand, analyze and practice actual engineering problems are evidently improved, and their problem-solving and practical ability in the aspect of prefabricated buildings is cultivated.

Teaching Effect Analysis and Behavior Detection of an Online Dance Learning Platform in the Context of COVID-19

Online classrooms have been widely used during the COVID-19 epidemic. However, due to the intuitive, practical, and emotional characteristics of dance majors, online classroom teaching still has certain limitations. Through the advantages of online classroom teaching during the epidemic prevention and control stage, the problems faced and their solutions are summarized and reflected. The article analyzes the advantages, existing problems, and solutions of online dance teaching, and designs an online dance learning platform quality assessment. After using the online learning platform, students' enthusiasm for dance learning has improved a lot, and students are more interested in dance teaching. The satisfaction of the effect has increased from 76% to 85%, and the detection efficiency of the platform is very high. The experimental results also show that in the context of the new crown epidemic, the use of online learning platforms can not only stimulate students' interest in learning, but also improve the quality of teaching.

Analysis of teaching effect of case teaching method combined with standardized patient in health evaluation of nursing specialty.

Analysis of teaching effect of case teaching method combined with standardized patient in health evaluation of nursing specialty.

Educational Psychology Analysis Method for Extracting Students' Facial Information Based on Image Big Data.

At present, most of the research on academic emotions focuses on the concept, current situation, and relevance. There are not many researches on the application of artificial intelligence-based neural network facial expression recognition technology in practical teaching. With reference to image-based big data, this research integrates the application of artificial intelligence facial expression recognition technology with the research on educational theory and applies information technology to the actual teaching process, in order to promote the optimization of the teaching process and improve the learning effect. Method. A Hadoop cluster consisting of 3 nodes is built on the Linux system, and the environment required for Opencv execution is compiled for each node, which provides support for subsequent parallel optimization, feature extraction, feature fusion, and recognition of student facial images. The image data type and input and output format based on MapReduce framework are designed, and the image data is optimized by means of serialized files. The color features, texture features, and Sift features of students' facial images and common distractors were analyzed. A parallel extraction framework of student facial image features is designed, and based on this, the student facial image feature extraction under Hadoop platform is implemented. This paper proposes a dynamic sequential facial expression recognition method that combines shallow and deep features with an attention mechanism. The relative position of facial landmarks and local area texture features based on FACS represent shallow-level features. At the same time, the structure of ALexNet is improved to extract the deep features of sequence images to express high-level semantic features. The effectiveness of the facial expression recognition system is improved by introducing three attention mechanisms: self-attention, weight-attention, and convolutional attention. Results/Discussion. Through the analysis of the teaching effect, we found that when teachers can obtain the correct student's academic mood, they can intervene on the students' positive academic mood. The purpose of the intervention is to improve the positive academic emotions of students. After the students receive the intervention, their academic emotions are also improved and are positively correlated with their academic performance. Through the analysis of teaching effect, the research can achieve the predetermined goal. From the specific teaching effect of this study, it is concluded that in classroom teaching, teachers should devote energy to intervene in students' positive academic emotions, in order to improve students' positive academic emotions, which will improve students' academic performance and teaching.

Investigation and analysis of teaching effect on undergraduate statistics course in medical universities and colleges

Objective To investigate the learning cognition and demand of medical college undergraduates for statistics course and its effect, so as to better carry out the work of statistics course and provide better experience. Methods A total of 319 undergraduates from 11 medical universities and colleges who had finished statistics course were involved to conduct a questionnaire survey by using the online questionnaire survey method. Results The senior undergraduates (grade 3, grade 4, grade 5) participated in statistic course accounted for a large proportion of 94.60%; 61.90% subjects thought the course was difficult. For undergraduate public health majors and non-public health majors, more than 90% considered that it was necessary to set up the corresponding statistics courses; about 4.00% did not like the corresponding statistics courses; 75.87%, 69.52% and 50.16% thought that teaching method, teaching content and class schedule were the main reason influencing the statistics course, respectively; and 61.9% thought that case was the best way to master the course. The results also showed that all subjects had a common comprehending of statistical theory and a poor comprehending of software operation skills. About 90% of the research subjects had requirement for theoretical knowledge or software operation. Conclusion Colleges and universities should make theoretical courses more targeted, increase the proportion of case teaching, strengthen the of software operation skills and appropriately set up corresponding training courses, to solve the problem that it is difficult to achieve satisfactory effect. Key words: Statistics; Undergraduate; Questionnaire; Teaching

On-line and Off-line Courses in Embedded Systems Courses

Online and offline (O2O) interactive teaching method is a new modern teaching method. Compared with traditional teaching methods, it has many advantages, such as online teaching, abundant teaching resources, diverse methods and high learning efficiency. Aiming at the traditional teaching mode of embedded system course, this paper designs online and offline teaching models from the aspects of teaching content, teaching methods and teaching evaluation. This paper puts forward a teaching method aiming at cultivating students' practical and innovative abilities. This paper discusses the application of online and offline (O2O) interactive teaching method in Embedded Course Teaching in Colleges and universities from the aspects of online network resource design and offline classroom theory teaching, and gives the teaching effect analysis of Hybrid Teaching mode.

Swimming Teaching Effect Analysis Based on the Underwater Video Acquisition System

During the 1990s, with the rapid development of science and technology, the human production and working mode or life-style have the huge transformation. In the sports field, researchers and teachers have the aid of modern science and technology resources to improve various teaching methods , which do help to master the technical action and improve the sports level. In the practical application, these teaching methods is more effectual than conventional method in sports skill learning. Use exploratory study method to develop a suitable and low-price underwater video acquisition system for daily swimming teaching, which is also easy to be operated. The system is with the aid of underwater surveillance cameras to realize the technology of underwater swimming action film and real-time looked, and through the acquisition card timely playback and slow play function to intuitive realistically restore underwater technical movement dynamic change process. This research use the teaching experimental method,mathematical statistics and comparative analysis and so on, the students make two sets of different teaching contrast experiments, verify the effect of the underwater video acquisition system. Underwater video acquisition system in swimming teaching application, change the teacher explain demonstration and strengthen the students single teaching mode, formed by means of image data timely feedback video feedback teaching method.

Teaching Effect Analysis Based on Function P-sets

Function P-sets which is composed of function internal P-set and function outer P-set, is a function set pair and has dynamic and law characteristics. Based on function P-sets, this paper presents the concepts such as data law, - data law, -data law and bi-data law, and then -data law theorem, -data law theorem, bi-data law band theorem, data law recovery theorem, bi-data law identification theorem and law identification criterion are proposed. By using these results, teaching effect analysis is obtained and applications on bilingual education are given. Function P-sets is a new method in the research of dynamic data system.