Teaching Reform In Universities Research Articles

Research on the Teaching Reform of Heating, Ventilation, and Air Conditioning Courses in Colleges and Universities Under the Internet Background

This study discusses the importance and practical strategies of Heating, Ventilation, and Air Conditioning (HVAC) course teaching reform in colleges and universities under the background of the Internet. With the rapid development of information technology, the Internet has brought unprecedented changes to the field of education. This paper first analyzes the problems existing in the traditional HVAC course teaching, such as being out of the industry demand, weak teachers, insufficient practical teaching, single teaching methods, and so on. Then, combined with the advantages of Internet technology, it puts forward a targeted teaching reform plan, taking effective reform measures to achieve the expected teaching results, aimed at improving the teaching quality of HVAC courses and training more high-quality talents to meet the needs of the times.

Analysis on Teaching Reform of Ideological and Political Education in English Teaching for Foreign Language Majors in the Context of New Liberal Arts Education

With the emergence of the new liberal arts concept, the intersection and integration of disciplines have become the inevitable path for education reform in various universities. Ideological and political education within the curriculum has become an integral part of educational development. Building upon an analysis of the existing issues in ideological and political education within English teaching for foreign language majors, this paper explores the reform path of ideological and political education in English teaching for foreign language majors, aiming to deepen students sense of patriotism and humanistic literacy and to fulfill the fundamental task of moral education and talent cultivation.

Discussion on the Practice of Tennis Teaching Reform in Colleges and Universities Under the Perspective of Ideological and Political Research on Curriculum

Discussion on the Practice of Tennis Teaching Reform in Colleges and Universities Under the Perspective of Ideological and Political Research on Curriculum

Research On Value Implication, Goal Orientation, and Practical Path of Physical Education Reform in Universities

Research On Value Implication, Goal Orientation, and Practical Path of Physical Education Reform in Universities

Thinking on Improving Students’ Innovation and Entrepreneurship Ability Based on Positive Psychology

With the deepening of education reform, innovation, and entrepreneurship education in colleges and universities should be further optimized. Teachers should actively introduce new educational concepts and methods to better engage students in exploring innovation and entrepreneurship knowledge. This approach aims to strengthen their mastery of various knowledge and skills, ultimately enhancing the effectiveness of education. As a popular educational auxiliary resource, integrating positive psychology into innovation and entrepreneurship education can greatly contribute to improving college students’ innovation and entrepreneurship abilities. This integration effectively enriches innovation and entrepreneurship education resources, diversifies educational pathways, and significantly promotes students’ comprehensive development. In light of this, this paper will analyze the enhancement of students’ innovation and entrepreneurship abilities based on positive psychology and propose some strategies for your colleagues’ consideration.

A Path Study on the Integration of Innovation and Entrepreneurship Education and Professional Education: Taking the Marketing Major of Guilin University of Electronic Science and Technology as an Example

School of Business, Guilin University of Electronic Technology, Guilin The integration of innovation and entrepreneurship education with professional education is of great significance in promoting teaching reform in universities and improving the quality of talent cultivation. Taking the Marketing major of Guilin University of Electronic Science and Technology as an example, based on the OBE concept, synergy theory, and Herzberg's two factor theory, this study deeply constructs a path for the integration of innovation and entrepreneurship education and professional education from multiple levels such as the target layer, action layer, and support layer, in order to provide reference for further promoting the deep integration of innovation and entrepreneurship education and professional education in Chinese universities.541000, China

Research on Strengthening Quality Education and Training Mode of Innovative Talents in Petroleum Universities

In the era of knowledge economy, quality education is an important guide to the transformation of educational ideas and concepts in colleges and universities, and a pointer to deepening teaching reform. The core of talent competition is the comprehensive quality of people. The comprehensive quality education for college students has become the requirement of the petroleum college education reform. Therefore, guided by quality education, changing the concept of personnel training and innovating the mode of personnel training are the inevitable choices for the healthy development of higher education in petroleum universities.

Research on the Application Status and Existing Problems of Network Platform in College Foreign Language Teaching

The popularization and application of the network teaching platform is an important part of the information construction of colleges and universities in the information technology era, and it is also the embodiment of the important role of educational practice technology in college education and teaching reform. The project adopts the questionnaire survey method, combined with the current situation of college foreign language education reform, and studies the application of network platform in college foreign language teaching. This paper analyzes the application status and existing problems of the network platform in college foreign language teaching, and draws the conclusion that only the deep integration of the network teaching platform and college foreign language teaching can effectively improve the teaching effect, and puts forward improvement strategies for the existing problems.

Research on the Influence of PE Teaching Reform Based on Behavioral Psychology on College Students' Mental Health

Behavioral psychology is an important branch of psychological research, which mainly studies the relationship between human psychological performance and behavioral development. The main research direction of behavioral psychology is to study the relationship between human behavior development and psychology. In education, we can intervene the development of education through the study of students' behavior psychology to achieve the role of promoting students' development. At present, in modern education, we can improve Canadian education and teaching through the study of students' behavior psychology. Physical education in Colleges and universities has always been an important subject of modern quality education, which plays a role in promoting students' physical and mental health, thinking ability and innovation ability. However, in recent years, more and more college students have been affected by learning pressure, development factors and adverse interpersonal communication. Students' mental health problems have become increasingly serious, affecting the development of higher education in China. Therefore, based on the relevant theories of behavioral psychology, this paper studies the students' physical education classroom behavior, and puts forward some suggestions on reforming college physical education, so as to promote college physical education and help students shape a positive and healthy psychology. The strategies of physical education reform in Colleges and universities include innovating teaching contents, improving teaching methods, improving teachers' comprehensive quality and carrying out physical psychology teaching. The purpose is to continuously improve teaching conditions and promote students' healthy and scientific development through the research on College Students' behavioral psychology.

Exploring the Feasibility of Integrating Marxist Philosophy into Teaching and Learning Reform in Colleges and Universities under the Architecture of Disciplinary Knowledge Mapping

Abstract This paper centers on the research of integrating the teaching reform of Marxist philosophy. The study first constructs the architecture of disciplinary knowledge mapping, focusing on the design of entity recognition based on the BiLSTM CRF model and the joint entity relationship extraction model based on annotation strategy. Then, Marxist philosophy is incorporated into the construction of disciplinary knowledge ontology. Finally, the discipline-specific course corpus and data layer are constructed to explore the feasibility and nature of integrating Marxist philosophy into discipline knowledge mapping for teaching reform. Feedback survey on the four dimensions of Marxist philosophy from the cognitive, affective, and attitudinal aspects, the difference between the mean and standard deviation of the data of the two classes is slight. The significance of the four dimensions (two-tailed) is more significant than 0.05, and this study is generally applicable to the teaching reform of colleges and universities. After the teaching reform, students’ online learning behaviors increased, and test scores improved significantly, i.e., The teaching reform in colleges and universities integrating Marxist philosophy is feasible and effective.

Practical Research on the Reform of Social Practice Teaching in Colleges and Universities under the Background of Big Data

Abstract Social practice teaching in colleges and universities combines theory and practice, transforms professional theory into practical behavior, and innovates students’ way of thinking, which can promote the teaching of colleges and universities as well as the cultivation of target talents. The big data era is innovating the traditional social practice teaching mode, and new opportunities are available for the development of social practice teaching. By analyzing the development form of social practice in colleges and universities in the era of big data, we propose to use the fuzzy C-mean clustering algorithm to deal with students’ social practice behaviors, to classify the type of students’ participation in social practice in colleges and universities, and to grasp the development status of the reform of social practice teaching in colleges and universities in the era of big data. The rating of dimensions of the social practice process in colleges and universities is used to determine the overall development level of social practice reform in colleges and universities. It also analyzes the differences in the process of carrying out social practice in colleges and universities, with the types of colleges and universities and categories of specialties as independent variables. When K is equal to 4, the contour coefficient is the largest, and the clustering effect is the best, so the students’ social practice participation can be reflected in four types: “need to improve”, “backward”, “hard-working” and “active”, combined with the overall score of social practice teaching reform in colleges and universities in the era of big data is 3.81±0.82 points, and the scores of all dimensions are above 3.75, and the overall development of social practice teaching reform in colleges and universities proposed in this paper is better.

The Role of Information Convergence Technology in Reshaping the Multiple Directions of Ideological and Political Education in Colleges and Universities

Abstract The integration of information technology and teaching promotes the reform of teaching in colleges and universities, and this paper extracts students’ learning state in classroom learning based on information fusion technology and explores the remodeling role of Civic and Political Education from multiple dimensions. Face expression recognition is used to extract students’ expressions in classroom learning, and their learning status is evaluated by combining head posture estimation. The z-score method is used to quantify the students’ classroom state data in a dimensionless way, and the learning state data with different scales are transformed into numerical values that can be calculated directly to realize the quantification of learning interest. Four dimensions are examined to explore the remodeling effect of civic and political education: students’ cognitive attention, learning emotions, course acceptance, and information fusion. The results show that the classroom state of student 1 under the information fusion of Civic Education has been in the state of conscientiousness, with cognitive attention greater than 0.25, and the cognitive attention values of students 5 and 6 are at [0.1966,0.2822], which indicates that the cognitive attention of students in the classroom of Civic Education is high. Under the dimension of information fusion, the dimension of information fusion of all 6 students is greater than 0.5, which indicates that students can make connections with other knowledge fusion in the Civic Education classroom.

Exploration of Physical Education Teaching Reform in Colleges and Universities in the Context of Deep Learning

Abstract Deep learning is an important path for the digital reform of college sports teaching. In this context, the study is first conducted to acquire sports data in colleges and universities. Openpose technology is used to collect skeletal point coordinate data and process it to construct a human sports model. Then, based on the similarity comparison of sports poses, the generated sports sequences are filled to simulate the real human sports sequences and data, and the DTW algorithm is used to match the sports sequences and data with the features, eliminate the inconsistency between the length of the poses to be matched and the template pose sequences, and then give the scores of the poses to realize the evaluation of the learners’ sports performance. Combining the principles and functions mentioned above, we construct a system for evaluating sports teaching and analyze its application examples. The distribution of the distance between the quaternion-based swing action and the standard swing action is within the range of 0.18~0.25, and the distance between various types of actions and the standard action is not large. The professional scoring was 5.199 points higher than the DTW-based stance score of 90.183 points. In addition, in the experimental group and the control group, there is a significant difference in the analysis of students’ movement skills assessment, P<0.05, indicating that compared with the traditional teaching mode, the deep learning-based physical education teaching system has a strong relevance as well as the ability to provide real-time movement feedback and movement correction for students’ movement practice.

Strategic Research on English Teaching Reform in Colleges and Universities Supported by Artificial Intelligence Technology

Abstract The emergence of new technologies and new means has brought unprecedented opportunities for college teaching, and the traditional college teaching mode can no longer meet the current needs of English teaching. This paper analyzes the current English teaching mode in colleges and universities by using the S-T teaching analysis method and constructs the S-T behavioral sequence of English teaching in colleges and universities by coding the samples in classroom teaching videos. Utilizing Markov chain to evaluate the drawbacks of traditional college English classroom teaching enables reflection and modification of English classroom teaching methods and specific teaching links. Classify English classroom teaching behaviors according to S-T teaching behavior coding, establish a link between teachers’ comprehensive control level in the classroom and the area of the teaching behavior cloud, and judge teachers’ comprehensive control level according to the area of the cloud. The proposed teaching reform strategies are based on an analysis of English teaching problems in colleges and universities. The results show that under the reformed English teaching, students’ English performance has been transformed for the better, and Class 7 has the highest English performance, with an average score of 140.73 and a score grade of A. In each teaching case extracted, the teacher’s active interaction with the students is kept above 55 times, and the number of student’s active interactions with the teacher is above 65 times.

Research on Strategies of English Teaching Reform in Colleges and Universities Supported by Artificial Intelligence Technology

Abstract The way that artificial intelligence technology is being developed is causing a progressive evolution in college and university teaching methods and systems. This paper presents the design of the English teaching mode in colleges and universities based on artificial intelligence technology. Research on strategies for English teaching reform in colleges and universities supported by artificial intelligence technology. A weighted inference model was used to design an AI expert system, based on which an intelligent assisted learning system based on a neural network was constructed using the law of knowledge forgetting. Based on information acquisition, the random Linsen method was selected as the assessment methodology for the impact of English instruction in colleges and universities. The assessment model’s performance and errors are examined through comparison tests of the teaching evaluation model. In this article, the educational effect evaluation model has an accuracy rate of 91% and a mean square error of less than 0.002. The impact of AI-assisted English instruction on teaching is evaluated based on this. Results from studies conducted both before and following the experimental group show that the overall score increases by 12.33 points and the P-value of the four dimensions’ teaching effect is less than 0.01. The experimental group using artificial intelligence technology for English instruction received an average comprehensive score of 95 points in the actual English assessment, which is 8 points higher than the control group receiving traditional English instruction. This paper’s artificial intelligence teaching mode is believed to have a significant impact on students’ English, which is confirmed by its effectiveness and rationality. It is beneficial for teaching reform and guides enhancing and advancing English instruction in colleges and institutions.

Analysis of Influential Factors of Ideological and Political Education Reform in Colleges and Universities--Based on Multiple Linear Regression Perspective

Abstract The reform of ideological and political education in higher education encompasses a broad spectrum of challenges, many of which continue to impede its effectiveness. This paper delves into these reforms by constructing an index system of factors that influence the effectiveness of ideological and political education, and it posits several research hypotheses. Within this framework, factors identified from the index system serve as independent variables, while the efficacy of ideological and political education reforms serves as the dependent variable. A multiple linear regression model is employed to analyze these relationships, with evaluations conducted through fit, residual, and variance tests. Correlation analysis is utilized to explore the interactions among the influencing factors, and hypothesis testing is performed on each variable in relation to the impact of Civic and Political Education reform. The analysis reveals that teacher-level factors provide a substantial explanatory power of 79.6%, positively impacting the reform efforts. Conversely, the regression correlation coefficient at the student level stands at 0.165, indicating a negligible linear relationship with the reform outcomes. All hypotheses were validated, with the exception of H5. This study not only provides a foundational reference for enhancing current reforms in Civic and Political Education but also lays the groundwork for future strategic planning in this crucial educational domain.

Evaluation method for the effectiveness of online course teaching reform in universities based on improved decision tree

Evaluation method for the effectiveness of online course teaching reform in universities based on improved decision tree

Research on the Reform of English Precision Teaching in Colleges and Universities Facilitated by Artificial Intelligence Technology

Abstract The article analyzes the precise teaching reform by applying artificial intelligence technology in English teaching in colleges and universities to improve teaching efficiency and student learning effect. The study establishes an English teaching model based on learner profiling, using artificial intelligence technology for student data analysis to achieve personalized customization of teaching content. Through empirical analysis, this study found that the experimental class adopting this teaching model significantly improved classroom interaction, learner class profile, and English performance. The average score of English assessment of students in the practical class increased from 55.5465 to 78.7267, and the passing rate also increased significantly. In addition, the teaching mode can effectively reduce the degree of dispersion of students’ performance and reduce the performance differences among students. The application of artificial intelligence technology in English teaching in colleges and universities can effectively promote students’ learning interest and performance improvement, providing a new direction for reforming English teaching in colleges and universities.

A Study on the Practical Application of Computational Modeling in Culturally Adaptive Teaching in the Reform of Translation Teaching in Colleges and Universities

Abstract Language is the bridge of communication between people. Different countries or regions have different social backgrounds, languages, and so on, so cultural differences must be paid attention to in the translation process. This paper focuses on exploring ways to improve students’ culturally adaptive translation ability during translation teaching. The particle swarm algorithm is employed to enhance the calculation model and create the analysis model for students’ culturally adaptive translation ability. The model is trained in Matlab software, and the correlation between the expected value and the measured value is measured by regression analysis to test the model’s performance. Subsequently, the model of this paper was applied to teaching practice, an experimental class was set up, a parallel control class was selected for reference, and a comparative analysis of the students’ culturally adaptive translation ability was conducted before and after the experiment in order to verify the effect of the application of the model of this paper on the improvement of the students’ culturally adaptive translation ability. The average score of students in the experimental class increased by 34.78% before and after the experiment, and the average score of students in the experimental class increased by 19.23% compared with that of students in the control class after the experiment. Compared to the pre-experiment, the increase in the scores of the students in the two classes for the culturally adaptive translation of long and difficult sentences was 116.67% and 47.62%, respectively.

Reform of Business English Teaching in Colleges and Universities under the Background of Education Informatization

Abstract This paper builds a business English intelligent teaching network platform through cloud computing, virtual reality, corpus and automatic scoring system, and other information technologies. Educational information technology helps construct a linguistic corpus by utilizing vocabulary lookup and MI values to create a one-stop solution for multi-level language analysis and application. The essay scoring project in the Business English Smart Teaching Network Platform utilizes the bag-of-words vector model to extract the features of each word, text, and topic to complete automatic essay scoring. After analysis, it can be seen that the business skills and interests of the experimental group have significantly improved after the teaching of the Business English Wisdom Teaching Network Platform. After the corpus-scaffolded writing teaching training, the mean values of students’ vocabulary richness ranged from 3.869 to 4.108, and sentence variety ranged from 3.961 to 4.135. Automatic scoring of compositions resulted in a significant improvement in the writing quality of students (P=0.000). The smart teaching network platform mentioned in this paper can be utilized to improve business English teaching in the context of informationization.