Development Of Education Informatization Research Articles

HVCMM: A Hybrid-View Abstractive Model of Automatic Summary Generation for Teaching.

With the continuous development of educational informatization, more and more emerging technologies are applied in teaching activities. These technologies provide massive and multidimensional information for teaching research, but at the same time, the information obtained by teachers and students presents an explosive increase. Extracting the core content of the class record text through text summarization technology to generate concise class minutes can significantly improve the efficiency of teachers and students to obtain information. This article proposes a hybrid-view class minutes automatic generation model (HVCMM). The HVCMM model uses a multilevel encoding strategy to encode the long text of the input class records to avoid memory overflow in the calculation after the long text is input into the single-level encoder. The HVCMM model uses the method of coreference resolution and adds role vectors to solve the problem that the excessive number of participants in the class may lead to confusion about the referential logic. Machine learning algorithms are used to analyze the topic and Section of the sentence to capture structural information. We test the HVCMM model on the Chinese class minutes dataset (CCM) and the augmented multiparty interaction (AMI) dataset, and the results show that the HVCMM model outperforms other baseline models on the ROUGE metric. With the help of the HVCMM model, teachers can improve the efficiency of reflection after class and improve the teaching level. Students can review the key content to strengthen their understanding of what they have learned with the help of the class minutes automatically generated by the model.

Research on Dance Education in Universities Based on Online and Offline Blended Teaching

With the rapid development of educational informatization, the transformation of teaching methods has become an inevitable requirement for the long-term development of education, which also puts forward higher requirements for the work of art education in universities. With the development of network technology, online and offline hybrid teaching modes came into being. This mode uses the Internet, cloud computing and other technologies to provide students with a diversified and adaptable expansion teaching mode. As a branch of art teaching in universities, college dance should focus on innovative teaching methods, construct a blended online and offline teaching model, broaden educational channels, and enrich educational resources. Based on this, the article analyzes and studies the blended teaching of online and offline dance education in universities, explores the advantages and challenges of blended dance teaching, analyzes the necessity of blended teaching in online and offline dance teaching in universities and proposes specific educational strategies for reference.

The Functional Positioning and Development of Educational Technology Centers in Local Universities

With the rapid development and widespread application of information technology, educational informatization has become an important direction for higher education reform. In this context, as the core force in promoting the development of educational informatization, the functional positioning and development strategy of local university educational technology centers are particularly crucial. This article aims to explore the functional positioning and development direction of local university educational technology centers from a new perspective, in order to contribute wisdom and strength to promoting the process of educational informatization and improving the quality of university teaching.

Design and Implementation of an Adaptive Evaluation System for Teachers’ Information-Based Teaching Ability in the Intelligent ERA

The rapid development of teacher informatization has become a major highlight in current teaching. The information system under adaptive conditions has become the key to the reform of the intelligent era. The goal of this study is to design and implement an adaptive evaluation system for teachers’ information-based teaching ability, aiming at improving ability to meet the needs of modern education. This system analyzes the level of acceptance under key learning technologies. It combines elements by learning and analyzing their impact on general forms. It aims to analyze the rule algorithm dataset in a single machine environment. By analyzing multiple sets of different datasets, it calculates the number of key technologies that appear together in the same report based on the key technology word matrix. A co-occurrence matrix is constructed. The system adopts an advanced adaptive algorithm, which can conduct personalized assessments according to the actual ability and needs of teachers, so as to provide more accurate and effective feedback, help teachers understand their own advantages and disadvantages, and formulate more targeted promotion strategies. In the process of system design, the detailed requirement analysis is carried out first, and the function and performance requirements of the system are clarified. Then, we design the architecture of the system and determine the main modules and functions of the system. The function module is designed and the system is implemented. Through the practical application and effect evaluation of the system, we find that the system has high effectiveness and practicability. It can not only help teachers understand their own level of information-based teaching ability and provide personalized suggestions for improvement, but also provide decision support for education administrators and promote the development of education based on information. We expect that this system can play a greater role in the future education practice and promote the further development of education informatization.

Moderated Mediation Model of Student Expectation and Satisfaction in Blended Learning: Context of Mathematics Learning in Chinese Higher education institutions

With the continuous development of educational informatization, blended learning, which combines the advantages of online and offline teaching, has become a research hotspot in the field of education. This study aims to discuss the influencing factors of blended learning satisfaction. Using purposive sampling method, 529 undergraduate students majoring in mathematics from 16 higher education institutions in Guangxi were surveyed. Furthermore, validity and reliability tests, confirmatory factor analysis, correlation analysis, and structural equation modeling were employed to process the data. Empirical results indicate that in blended learning, student expectation and perceived value have significant positive effects on learning satisfaction. Student expectation also have a significant positive effect on perceived value. Moreover, perceived value plays a mediating role in the relationship between student expectation and learning satisfaction. Self-efficacy moderates the relationship between student expectation and learning satisfaction. This study contributes to enhancing the quality of blended courses and improving the satisfaction of university students with blended learning.

The Practice and Research of Junior High School Information Technology Project-Based Learning Based on STEM Education Concept

With the continuous development of education informatization, STEM education has become the global trend of education. Project-based learning is widely discussed and applied as a learning method suitable for combination with STEM education concept. Currently, the problem of "how to teach" in STEM education is widely focused on two typical teaching methods, namely problem-based learning and project-based learning. Project-based learning is also learner-centered and tends to comprehensively apply multidisciplinary knowledge, which attracts more attention. Based on the analysis of the impact of combining applied subjects and STEM education with project-based learning on students and other aspects, this paper proposes the connotation of middle school information technology project-based learning under STEM education concept and how to practice the application of project-based learning in junior high school information technology classrooms under STEM education concept in order to promote the further development of STEM education.

ОБЛАСТЬ СТАНДАРТОВ ОБРАЗОВАТЕЛЬНЫХ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ

The research, formulation, promotion and application of educational informatization technology standards are of great importance for promoting the standardized and coordinated development of educational informatization, as well as the implementation of the sharing of educational informatization resources and system compatibility. Therefore, the International Organization for Standardization and relevant international industry associations are paying more attention to this. Governments and enterprises from different countries have also invested in the development and application of educational information technology standards. This article briefly presents the current main international organizations for the standardization of educational information technologies and their main standards or specifications, as well as the work of our country in the field of international standards of educational information technology.

Research on Knowledge Graph Multiple Environment-Aware Recommendation Algorithm for Teaching Course Recommendation

Abstract With the rapid development of education informatization and intelligence, personalized teaching and course recommendations have gradually become an important research direction in the field of education technology. A knowledge graph, as a structured knowledge representation and organization, provides rich semantic information and a relationship network for teaching course recommendations. Based on this research background, this paper focuses on the research of knowledge graph multivariate environment-aware recommendation algorithms for teaching courses. The article firstly constructs the ontology of course resources, researches and analyzes the methods and steps of acquiring and processing data in order to build the knowledge graph, and then constructs the framework of the recommendation model combining multivariate perception in order to further analyze and explore the user’s course-aware representation learning and the user’s course-aware embedded learning. Embedded Learning, and finally, the teaching course of a school as an empirical study, it is shown that the performance of Ripple_mlp+ and Ripple_mlp in this article are higher than the benchmark algorithms through the experimental class and the control class of the pre and post-test scores have been sorted out and counted. The experimental students’ scores are steadily increasing, and the overall scores are better than the control class. In the experimental class, the significance value is 0.013, indicating that there is a significant difference between the midterm and final grades of the experimental class. Through the paired samples t-test on the midterm and final grades of the experimental class, after analyzing and comparing the midterm and final grades of students at different levels, it can be concluded that the t-value of the superior students is −3.326. The value of significance is 0.049, indicating that there is a significant difference between the midterm and final grades of the exceptional students. The T-value for intermediate students is −0.134, and the value of significance is 0.045, which indicates that there is a significant difference in the midterm final grades of intermediate students. The T-value of −1.623 and the value of significance is 0.534 for advanced students indicates that the difference in midterm final grades of advanced students is not significant.

Analysis of Strategies for Enhancing Informatization Teaching Ability of College Teachers Combined with Mathematical Statistics Multiple Regression Models

Abstract In this paper, from the perspective of education informatization, for the problem of teachers’ informatization teaching ability in colleges and universities, the loss function of the analysis of teachers’ informatization teaching ability in colleges and universities can be calculated by using a Logistic regression algorithm. In order to prevent the overfitting problem of multiple regression analysis, it is necessary to optimize the multiple regression analysis by regular transformation, and then construct the model of teachers’ informatization teaching ability based on multiple linear regression, and determine the research variables and regression equations in the model. Starting from the research objectives, the research objects and problems are determined, and two analysis methods, simulation analysis and statistical analysis, are used to empirically analyze the informatization teaching ability of college teachers. The results show that on the analysis of model instances, the correlation coefficients between the factors and the overall teacher educators’ informatization teaching ability range from 0.671 to 0.829, and there is a certain correlation between each factor and teacher educators’ informatization teaching ability. On the analysis of differences in teachers’ informatized teaching competence, the five competence constructs of Guangzhou college teachers’ education in technological literacy (P=0.653>0.05), instructional design (P=0.133>0.05), instructional implementation (P=0.584>0.05), evaluation development (P=0.287>0.05), and informatized teaching competence (P=0.413>0.05) do not significant differences exist. This study comprehensively analyzes the strategies for improving teachers’ informatization teaching ability in order to play some role in promoting the development of education informatization.

A STUDY ON THE FACTORS INFLUENCING THE SMART MANAGEMENT ECOSYSTEM OF DEPARTMENT OFFICES IN UNIVERSITIES

With the continuous evolution and development of educational information, information technology has become an important driving force for promoting the transformation and innovation of office management. Drawing on the principles and methods of ecology, exploring the transformation of office management models supported by information technology has important theoretical significance and practical value for optimizing the structure and function of the office management ecosystem and promoting educational management reform and innovation. This study adopts a literature research method. Firstly, starting from the concept of "departmental office management", clarify the basic concepts and definitions of departmental office management, and clarify the status and functions of departmental office management. Based on analyzing the history and current situation of secondary college offices in universities, the main characteristics and functions of secondary college office management are summarized through interviews and questionnaire surveys with the school and college management, as well as grassroots teachers and students. Revealed the main problems in the office management of secondary colleges, and proposed transformation strategies for the office management of secondary colleges from the perspective of education and management ecology with a "critical reflection" attitude. This study aims to analyze and reflect on the problems that arise in the current management of departmental offices in universities, and attempt to study the management of departmental offices from an ecological perspective. It aims to provide new directions for the reform, development, and promotion of departmental office management in universities: for schools, teachers to provide new guidance for the maturity and improvement of office management concepts in universities such as students, and to provide a new approach for theoretical research on office management in university departments.

Application research on English Translation Teaching Quality based on Data mining

In the development of education informatization, in order to improve the quality of English translation teaching, universities and colleges, based on the accumulated experience of practical teaching, put forward the use of data mining technology to deal with massive data information, and dig out the main contents affecting the quality of college English translation teaching from a variety of influencing factors, in order to provide effective basis for the innovation and development of modern education. After understanding the basic concepts of data mining and decision tree algorithm, this paper deeply discusses the quality evaluation system of English translation teaching based on data mining according to the research status of English translation teaching in colleges and universities, and verifies and analyzes the system application combined with practical cases. The final results show that data mining plays an important role in the application research of English translation teaching quality in colleges and universities.

Construction of VR/AR Smart Cloud Space based on 5G Network Environment in Education

With the emergence of the “5G+education” era, research on its application is mostly theoretical and lacks practical depth, making application research costly. This study aims to integrate school, third-party enterprises, and other resources to explore the joint building of specific application scenarios for “5G+education” in schools. The 5G VR/AR smart cloud space is a smart education experience scene that combines relevant teaching resources with teaching scenes through cloud rendering using virtual reality technology (VR) and augmented reality technology (AR). The high-speed and low-delay features of the 5G network and the support of cloud rendering technology enable students to experience virtual reality scenes through VR head-mounted displays while in the classroom, enhancing learning engagement. This study explores the application of 5G technology in primary school financial literacy education, studying its impact on environmental construction, resource application, curriculum development, and learning modes. Through theoretical and practical research, this study promotes education informatization development at the school and regional levels, benefiting students and teachers alike.

Research and Practice on the Training of Accounting Talents Based on Information Technology and Internet

At present, education reform is in the stage of deepening development, and the development of education informatization is the key factor to support education reform. In the process of the development of information technology and the profound reform of accounting education, college teachers must actively respond to these challenges and make a difference in the educational reform. Based on this, the practice of financial accounting teaching reform and talent cultivation based on information technology and the Internet in the financial accounting specialty is carried out, and the reform approach of financial accounting teaching mode integrating information technology and the Internet is mainly discussed. Under the influence of "Internet plus", the financial accounting specialty must clarify the goal of talent cultivation, combine the advantages of the Internet, provide rich resources for teachers and students, and achieve interaction and exchange between teachers and students.

An Intelligent Question-Answering Model over Educational Knowledge Graph for Sustainable Urban Living

With the development of education informatization and the accumulation of massive educational resources and teaching data in urban environments, educational knowledge graphs that provide good conditions for developing data-driven intelligent education have been proposed. Based on such educational knowledge graphs, the question-answering method can provide students with immediate coaching and significantly increase their learning interest and productivity. However, there is little research on knowledge graph question-answering focused on the educational field. Students tend to consult complex questions that require reasoning; however, the existing QA system cannot satisfy their complex information needs. To help improve sustainable learning efficiency, we propose a novel intelligent question-answering model applied in smart cities, which can reason over the educational knowledge graph to locate the answers to given questions. Our approach uses a highly expressive bilinear graph neural network technology to perform forward reasoning, utilizing the contextual information between graph nodes to improve reasoning ability. On this basis, we propose two-teacher knowledge distillation. We construct two distinct teacher networks by combining forward and backward reasoning, then incorporate the intermediate supervision signals from the two networks to guide the reasoning process, thereby mitigating the phenomenon of spurious path reasoning. Extensive experiments on the MOOC Q&A dataset prove the effectiveness of our approach.

Research on the Construction of Digital Teaching Resources for Schools Oriented to Teaching Innovation

With the continuous further development of education informatization in our country, the present way and the way of spreading knowledge have changed gradually, which has caused innovation of teaching mode, teaching method and learning method. In the information teaching environment, as an important resource in the implementation of the teaching process, digital teaching resources have become the focus of basic education schools gradually. Schools have begun to explore the construction of digital high-quality teaching resources with their own characteristics, so as to promote the teaching reform and innovation of schools. In order to explore the effective measures and effects of the construction of digital teaching resources in combination with the needs of teaching innovation, this study carried out various comprehensive studies. This paper first introduces the dimension and principle of teaching innovation to provide theoretical basis for the research. Secondly, this paper puts forward the countermeasures to promote the construction of digital teaching resources in schools, to provide reference for related research.

Research on Information Literacy Evaluation System of University Teachers

With the development of educational informatization, the information literacy of college teachers is becoming more and more important, so it is necessary to evaluate the information literacy of college teachers quantitatively. Fuzzy comprehensive evaluation method is a method that synthesizes various influencing factors and transforms qualitative evaluation into quantitative evaluation, which is very suitable for the evaluation of information literacy of teachers in colleges and universities. Based on this, this paper uses fuzzy comprehensive evaluation method to conduct a comprehensive evaluation and analysis of college teachers’ information literacy, in order to provide reference for colleges and universities to improve teachers’ information literacy and promote the construction of education informatization.

The problems and optimization strategies of primary education informatization development

The problems and optimization strategies of primary education informatization development

Study on the Implementation Path of “Dual Reduction” in Rural Basic Education Promoted by Education Informatization

The cornerstone to a hundred-year plan is education. In the modern period, “Dual Reduction” has emerged as a novel technique to support the growth of high-quality education. In education, the integration of education information technology into “Dual Reduction” has become a new emphasis. For rural basic education, the implementation of “Dual Reduction” faces significant hurdles. Initially, it is required to suggest different strategies to ensure the quantity and quality of teachers, to promote teaching reform, to investigate new techniques of “Dual Reduction” classroom education, and to collect training synergy in accordance with the education informatization development trend. Concurrently, it must establish a new pattern of education governance with multiple collaborators, actively promote school district reform, then promote the construction of rural school communities, promote the construction of rural teachers, and enhance the effectiveness of information-based teaching and other coping strategies.

Research on Student Performance Prediction Based on Stacking Fusion Model

Online learning is gradually becoming popular with the continuous development of Internet technology and the rapid development of educational informatization. It plays a key role in predicting students’ course performance based on their online learning behavior. It can optimize the effects of teaching and improve teaching strategies. Student performance prediction models that are built with a single algorithm currently have limited prediction accuracy. Meanwhile, model fusion improvement technology can combine many algorithms into a single model, thereby enhancing the overall effect of the model and providing better performance. In this paper, a stacking fusion model based on RF-CART–XGBoost–LightGBM is proposed. The first layer of the model uses a decision tree (CART), random forest, XGBoost and LightGBM as the base models. The second layer uses the LightGBM model. We used the Kalboard360 student achievement dataset, and features related to online learning behavior were selected as the model’s input for model training. Finally, we employed five-fold cross-validation to assess the model’s performance. In comparison with the four single models, the two fusion models based on the four single models both show significantly better performance. The prediction accuracies of the bagging fusion model and stacking fusion model are 83% and 84%, respectively. This proves that the proposed stacking fusion model has better performance, which helps to improve the accuracy of the performance prediction model further. It also provides an effective basis for optimizing the effects of teaching.

WBS-Based Method in Teaching Management Information Project

In modern times, with the development of industrialized society and the invention of clocks and watches, people have become more and more concerned about institutionalization, and higher education time and space have also shown the characteristics of institutionalization. In modern times, educational informatization has brought challenges and opportunities for educational reform and development. The vigorous development of education informatization has also produced changes in higher education spatiotemporally. For example, the rise of catechism and online learning, the importance of fragmented time, the development of space toward virtualization, and the expansion of interactive space for interpersonal interactions. In addition, the enrichment and sharing of educational materials, the informatization, and big data of educational management also contribute to the improvement of time efficiency and optimization of time structure in higher education. With the background of education under the new normal, this paper briefly analyzes the current situation of education informatization construction in colleges and universities from the perspective of education managers, and addresses the current situation and problems of teaching management informatization construction, such as organizational structure dominated by pyramidal functional departments, inefficiency, inability to connect work, difficulty in work gap, difficulty in horizontal coordination, and closed information. A work breakdown structure (WBS) based project management theory and work structure decomposition method are proposed. This paper finds that the improved association rule mining algorithm can improve the efficiency of teaching management practice in colleges and universities by more than 14.58%, which is an important reference value for college management informatization.