Quality Of College English Teaching Research Articles

A Novel Approach to Evaluating College English Teaching Quality Through Dependency Factor Analysis, Incorporating Point Feature Probability Classification Dependency Factor (Pfp-Df)

A Fuzzy Genetic Algorithm (FGA) can be a valuable approach for Social Network Analysis (SNA), where the complexity of social interactions often involves uncertainty and imprecision. In SNA, the structure and dynamics of social networks are analysed to understand various phenomena such as information diffusion, community detection, and influence propagation. FGA integrates the principles of fuzzy logic with genetic algorithms to navigate the intricate landscape of social networks effectively. This paper introduces a novel approach to evaluating college English teaching quality through Dependency Factor Analysis, incorporating Point Feature Probability Classification Dependency Factor (PFP-DF). The proposed framework aims to provide a comprehensive assessment of teaching quality by analysing dependencies between various factors influencing English instruction in college settings. Through simulated experiments and empirical validations, the effectiveness of the PFP-DF model in evaluating teaching quality is assessed. Results demonstrate significant improvements in accuracy and granularity compared to traditional evaluation methods. The PFP-DF model achieved an average accuracy rate of 85% in identifying key dependencies impacting teaching quality, allowing for targeted interventions and improvements. Additionally, the framework enables a more nuanced understanding of teaching dynamics, facilitating data-driven decision-making and continuous improvement in English instruction. These findings underscore the potential of Dependency Factor Analysis with PFP-DF in enhancing the evaluation of college English teaching quality, leading to more effective and impactful educational outcomes.

The Implementation Approach of Ideological and Political Education in College English Based on the Production-oriented Approach

Based on the “Production-oriented Approach”, this paper takes the textbook “New Horizon College English (Third Edition) Viewing, Listening & Speaking” as the carrier of ideological and political teaching of the course, aiming to investigate how to explore the ideological and political elements of the college English course, and how to combine the college English course with the ideological and political elements to realize the integration of the knowledge system and the value system. Methodologically, this paper conducted questionnaire surveys with 55 non-English majors in an international studies university and carried out a semester-long teaching experiment. The findings reveal that the students have a high degree of acceptance of ideological and political teaching based on the theory of “Production-oriented Approach” (POA) in college English courses. The implementation approach explored in this study is to integrate the “ideological and political education through courses” into college English teaching from the aspects of motivating, enabling, assessing, and ultimately integrating the value shaping, knowledge transfer, and ability cultivation, which not only provides more possible implementation approaches to improve college English teaching quality, but also offers more possibilities for the improvement of college English teaching. This study is expected to provide more useful inspirations and references for ideological and political education in college English courses.

Dependency Factor Analysis in the Evaluation of College English Teaching Quality

Teaching quality encompasses a multifaceted approach to education that prioritizes student engagement, comprehension, and empowerment. It extends beyond the mere imparting of knowledge to fostering critical thinking, creativity, and lifelong learning skills. A high-quality teaching environment is characterized by clear communication, supportive relationships between educators and students, and innovative instructional methods that cater to diverse learning styles. Effective feedback mechanisms, assessment practices, and curriculum design also contribute to teaching quality, ensuring that students receive personalized attention and opportunities for growth. Ultimately, teaching quality is measured not only by academic achievement but also by the holistic development of students as confident, curious, and socially responsible individuals prepared for success in an ever-evolving world. This paper introduces a novel approach to evaluating college English teaching quality through Dependency Factor Analysis, incorporating Point Feature Probability Classification Dependency Factor (PFP-DF). The proposed framework aims to provide a comprehensive assessment of teaching quality by analyzing dependencies between various factors influencing English instruction in college settings. Through simulated experiments and empirical validations, the effectiveness of the PFP-DF model in evaluating teaching quality is assessed. Results demonstrate significant improvements in accuracy and granularity compared to traditional evaluation methods. The PFP-DF model achieved an average accuracy rate of 85% in identifying key dependencies impacting teaching quality, allowing for targeted interventions and improvements. Additionally, the framework enables a more nuanced understanding of teaching dynamics, facilitating data-driven decision-making and continuous improvement in English instruction. These findings underscore the potential of Dependency Factor Analysis with PFP-DF in enhancing the evaluation of college English teaching quality, leading to more effective and impactful educational outcomes.

Improving College English Teaching Quality Through Wireless Network Artificial Intelligence in E-Learning

Improving College English Teaching Quality Through Wireless Network Artificial Intelligence in E-Learning

A Probe into the Integration Concept of Blended Teaching Mode of College English in Application-Oriented Universities

Blended teaching is the product of the organic combination of classroom teaching and online learning. The practice of college English teaching in application-oriented colleges shows that the construction of the integration concept of blended teaching mode will play a good role in promoting the quality of college English teaching. The organization and implementation of the blended teaching mode of college English should pay more attention to the integration of all elements of college English core literacy and online teaching resources, and establish a sense of integration in teaching concept, content, mode, and evaluation, so as to further promote the course reform of college English and realize the goal of cultivating English talents with emphasis on application practice.

Enhanced decision-making through an intelligent algorithmic approach for multiple-attribute college English teaching quality evaluation with interval-valued intuitionistic fuzzy sets

To establish a student-centered teaching quality assurance system in English teaching in universities, it is necessary to establish an educational philosophy of survival based on quality, achieve student-centered learning, optimize the allocation of English teaching resources, and reform evaluation standards; To address the problems in English teaching, we need to raise awareness of the construction of a “student-centered” teaching quality assurance system, carry out “student-centered” teacher training activities, and improve teachers’ professional skills; At the same time, we will establish a student-centered English curriculum system, promote the reform and innovation of teaching models, establish a diversified English teaching evaluation system, and ensure the high efficiency and quality of English teaching in universities. The college English teaching quality evaluation is the MAGDM. Recently, the TODIM and MABAC technique has been employed to manage MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a useful tool for portraying uncertain information during the college English teaching quality evaluation. In this paper, the interval-valued intuitionistic fuzzy TODIM-MABAC (IVIF-TODIM-MABAC) technique is built to manage the MAGDM under IVIFSs. At last, the numerical example for college English teaching quality evaluation is employed to show the IVIF-TODIM-MABAC decision technique. The main contribution of this paper is outlined: (1) the TODIM technique based on MABAC has been extended to IVIFSs based on Entropy technique; (2) the Entropy technique is employed to manage weight based on score values under IVIFSs. (3) the IVIF-TODIM-MABAC technique is founded to manage the MAGDM under IVIFSs; (4) a numerical example for college English teaching quality evaluation and some comparative analysis is supplied to verify the proposed technique.

Analysis of English Teaching Quality Evaluation in Colleges and Universities Based on AHP Modeling

Abstract English in colleges and universities is an important subject for learning, so it is especially important to evaluate and analyze the quality of teaching English in colleges and universities. This paper constructs the evaluation system of college English teaching quality based on the AHP model, builds the three-level index model of college English teaching quality by combining the relative importance level of Sta, and then carries out the normalization process to determine the importance degree of the indexes at all levels. Combined with factor analysis and data analysis of the results of the expert consultation on the indicator model to measure the factors affecting the quality of teaching in colleges and universities for the overall evaluation and analysis. From the validation data, it can be seen that there are 24 correlation coefficients above 0.5 and 12 above 0.8 in the model influence factor testing. The standardized factor loadings of each potential variable are all greater than 0.75, and the average variance extractions are all greater than 0.65, effectively verifying the internal consistency and convergent validity of the indicator model. In the validation data of the teaching evaluation system, the individual scores of the three-level indicators are all greater than 90, indicating the effectiveness and appropriateness of the teaching evaluation system. The construction of an English teaching quality evaluation system in colleges and universities is conducive to the improvement of teaching management and a more precise grasp of the improvement of teaching quality.

An intelligent decision methodology for triangular Pythagorean fuzzy MADM and applications to college English teaching quality evaluation

Abstract The development of contemporary college English teaching methods and practice should respect the subjective will of college students; fully tap their wisdom and potential; constantly innovate college English teaching methods, teaching practice activities, classroom teaching, and teaching evaluation models; create a good teaching atmosphere; and establish the concept of developmental evaluation. Through the innovation of teaching methods, college students’ actual language communication ability is cultivated, the teaching objectives and teaching methods of college English reading are innovated, and interactive, body language, role play, situational teaching, communicative teaching, and other teaching methods are used. The College English teaching quality evaluation is a classical multiple attribute decision making (MADM). In this article, the triangular Pythagorean fuzzy sets (TPFSs) are introduced, and the MADM problem is investigated under TPFSs. Based on the traditional dual generalized weighted Bonferroni mean operator and power average operator, the triangular Pythagorean fuzzy dual generalized power Bonferroni mean (TPFDGPBM) operator is proposed. Accordingly, the TPFDGPBM operator is employed to construct the triangular Pythagorean fuzzy MADM method. Finally, a numerical example for College English teaching quality evaluation is constructed to verify the TPFDGPBM technique.

A Study on the Model of College English Self-managed Learning Based on the Flipped Classroom

With the rapid development of the information society, the traditional college English teaching model has become inadequate to meet the needs of social development. A new teaching model, the flipped classroom, has emerged. Based on blended learning theory and humanistic theory, this study focuses on the college English teaching model within the context of the flipped classroom, outlines the relationship between the flipped classroom and self-managed learning, analyzes the current situation of college students’ self-managed learning, and explores the construction of college English self-managed learning model. The experimental results indicate that the model of college English self-managed learning based on flipped classroom not only improves the quality of college English teaching and students’ self-managed learning abilities, but also has a positive impact on students’ attitudes toward study, which benefits the improvement of college students’ comprehensive abilities.

Extended TODIM method based on VIKOR for college English teaching quality evaluation with interval-valued intuitionistic fuzzy information

In college education, English is a required course for every college student, and undergraduate colleges have certain requirements for college English proficiency. At the same time, English is directly related to its learning, so improving the quality of college English teaching (CET) is very important. Teaching quality is a key indicator for measuring the effectiveness of English teaching. Learning quality evaluation is a very complex process that involves many factors, such as evaluation indicators, evaluation methods, etc. Therefore, establishing an objective and scientific English quality evaluation system is a challenging issue. The CET quality evaluation is a MAGDM. Then, the TODIM and VIKOR was used to set up MAGDM. The interval-valued intuitionistic fuzzy sets (IVIFSs) are employed as a tool for depicting uncertain information during the CET quality evaluation. In this study, the entropy and score values are employed to establish the objective weights. Then, an integrated interval-valued intuitionistic fuzzy TODIM-VIKOR (IVIF-TODIM-VIKOR) is developed to cope with the MAGDM problem. An illustrative example for CET quality evaluation and some comparative analysis are developed to demonstrate the validity and reliability of IVIF-TODIM-VIKOR method.

Retracted: College English Teaching Quality Evaluation System Based on Information Fusion and Optimized RBF Neural Network Decision Algorithm

Retracted: College English Teaching Quality Evaluation System Based on Information Fusion and Optimized RBF Neural Network Decision Algorithm

Retracted: Evaluation of College English Teaching Quality Based on Improved BT-SVM Algorithm.

[This retracts the article DOI: 10.1155/2022/2974813.].

Modified EDAS method for spherical fuzzy multiple attribute group decision making and applications to English classroom teaching quality evaluation

Classroom teaching is an important link related to the quality of teaching and talent cultivation. In the implementation of classroom teaching, we should fully attach importance to the main position of students, the role of educational technology and information technology in teaching activities, make use of the latest educational ideas and educational concepts, and combine the actual situation of college English teaching and college English teaching in China, and attach importance to foreign language teaching theories and practices at home and abroad, Establish monitoring indicators and monitoring system for college English teaching quality. Under the guidance of effective monitoring indicators, teachers’ teaching concepts can be updated and improved in real time to achieve better teaching results. At the same time, the quality assurance and monitoring system of college English teaching can be continuously improved to make it more perfect. The English classroom teaching quality evaluation could be deemed as a classic multiple attribute group decision making (MAGDM) problem. Spherical fuzzy sets (SFSs) can excavate the uncertainty and fuzziness in MAGDM more effectively and deeply. This article we first present a novel score function to compare spherical fuzzy numbers (SFNs) more directly and efficiently. Then, on basis of evaluation based on distance from average solution (EDAS), a novel spherical fuzzy EDAS (SF-EDAS) method is built for dealing with MAGDM. Moreover, when the attribute weights are completely unknown, the MEthod based on the Removal Effects of Criteria (MEREC) is extended to spherical fuzzy environment (SFE) to reasonably acquire the attribute weights. Finally, SF-EDAS approach is used for English classroom teaching quality evaluation to prove practicability of the developed method and compare SF-EDAS method with existing methods to further demonstrate its legitimacy and superiority.

Research on the Establishment of Curriculum Ideology and Politics and College English Evaluation Model based on "Internet +"

As the lifeline of the development of colleges and universities, education quality should be studied from the perspectives of teacher-student evaluation, peer evaluation and social evaluation to establish a perfect teaching quality evaluation system based on curriculum ideology and politics and college English. The rise of "Internet Plus" provides rich resources for the establishment of ideological and political courses in colleges and universities and the evaluation model of college English. It can not only change the restrictive conditions of traditional education concepts, but also improve the service mode of networked education. After understanding the development trend of college English and curriculum ideology and politics under "Internet +", this paper defines the main content of the evaluation model of college English teaching quality, and then discusses the application effect of the evaluation model combined with specific courses. The final result shows that in the comprehensive popularization of network technology, curriculum ideology and politics should be organically integrated with college English, and the reasonable use of teaching quality evaluation model.

Research on effectiveness of college english blended teaching mode under small private online course based on machine learning

Machine learning-based learning effectiveness analysis is an important part of the current analysis of college students’ learning effectiveness and it is directly related to the learning effect. It plays a very important role in the analysis of college students’ learning, and enhances the learning effect of students to the greatest extent. The study aimed to investigate the students’ English learning effectiveness under small private online course (SPOC) teaching mode based on machine learning. The study designed and implemented the blended teaching mode of college English based on SPOC. Next, the study investigated the students’ English learning effectiveness under SPOC teaching mode by an empirical study and analyzed the students’ English learning effectiveness under SPOC teaching mode based on machine learning. The results showed that the students were satisfied with the blended teaching mode of college English based on SPOC and students’ academic English skills, research skills and learning effectiveness were improved in the SPOC-based teaching mode. In order to improve the effect of the blended English teaching mode, teachers need to reconstruct the teaching mode of college English based on the SPOC platform, improve the evaluation mechanism, take advantage of the continuous integration of information technology and college English teaching, and build an innovative English teaching mode in order to improve the quality of college English teaching.

Investigation Report and Problem Analysis on the Pass Rate of CET-4 and CET-6 of Animal Science Major in Three Colleges and Universities in Yunnan Province

College English Test Band 4 and Band 6 have been paid more and more attention, and become an important indicator to measure the quality of college English teaching and the recruitment of employers. Taking the students of three animal science majors in Yunnan Province as the research object, this paper focuses on the analysis of the current situation and existing problems of the passing rate of CET-4 and CET-6. The influence and role of basic English teaching on CET-4 and CET-6 have been discussed. In addition, how colleges and universities should devote themselves to the reform of basic English teaching, constantly improve the teaching quality, so as to effectively improve the passing rate of CET-4 and CET-6 for students of animal science majors were also put forward.

Research on innovative strategies of college students’ English teaching under the blessing of big data

Abstract The rapid development of modern society is inseparable from information technology, and most of this information technology is based on big data, which makes the teaching field in the new era keep pace with the times and brings great changes to the academic activities in which teachers and students participate, as well as to the quality of their thinking skills, and thus, likely even their overall lives. Under the background of big data, through the effective application of relevant technologies, students’ learning is no longer limited to a relatively single traditional teaching level, and teaching needs strategic innovation. This paper improves the mathematical model of precision teaching strategy, establishes the empirical model of the optimal mode of College English teaching based on big data and puts forward relevant innovative teaching methods. Through the rational use of big data technology, the content and form of College English classroom teaching can be improved, so as to improve the quality of College English teaching.

The Reform and Practice of Level-based English Teaching Based on POA

The level-based English teaching has always been a hot issue in the teaching reform. Based on the practice and reform of level-based English teaching in Xi’an Fanyi University, this paper discusses the teaching model which is in line with the students’ actual situation, and takes the theory of POA as a guide. At the same time, it puts forward the strategies to solve the potential problems in order to further optimize the teaching model, meet the demands of students at different levels and improve the quality of college English teaching.

The Reform and Practice of Level-based English Teaching Based on POA

The level-based English teaching has always been a hot issue in the teaching reform. Based on the practice and reform of level-based English teaching in Xi’an Fanyi University, this paper discusses the teaching model which is in line with the students’ actual situation, and takes the theory of POA as a guide. At the same time, it puts forward the strategies to solve the potential problems in order to further optimize the teaching model, meet the demands of students at different levels and improve the quality of college English teaching.

Research on College English Teaching under the Guidance of Cultural Comparison

Cultural comparison is not only a common perspective of language research, but also a classic way of thinking. The application of the idea of cultural comparison in College English teaching can make English teaching have a comprehensive application value. Due to different ideas and educational environment, there is a certain degree of cultural lack in College English teaching in China. The lack of culture leads to the abandonment of the basics in English teaching, and the lack of quality will also lead to poor English practice and application ability of college students. The promotion of comparative culture is the inevitable trend of College English teaching activities. We must strengthen the construction of the overall system of College English teaching and the shaping of English teachers' comparative culture research ability in order to improve the quality of College English teaching.