Construction of Moral Education Evaluation Model Based on Quality Cultivation of College Students

Contemporary young college students are greatly impacted in the aspects of moral cognition and moral choice, which results in the weak moral will of some college students, vague moral concepts, and weak ideals and beliefs, which seriously affect the formation and development of college students’ moral quality. Therefore, the moral education evaluation model based on college students’ quality cultivation is constructed. Firstly, the present situation and defects of college students’ quality training are analyzed. Based on this, association rules in data mining method are constructed and introduced to extract valuable knowledge hidden in the data to assist education managers to make effective decisions and improve management level. Finally, the evaluation index is selected and the weighted principal component TOP-SIS model is constructed to realize the evaluation of moral education based on college students’ quality cultivation. The experimental results show that the evaluation results of the model are consistent with the actual situation, high degree of fit and freedom, and good practical performance.

The Preassessment Process for English Learners With Potential Language Impairment

This chapter presents the case of Tanveer, a first-grade boy from an Urdu-speaking immigrant family from Pakistan. He is in the public schools and has been struggling academically since kindergarten. This chapter discusses the preassessment process and interventions that took place before Tanveer underwent a full special education evaluation, including testing by a speech-language pathologist for the possible presence of an underlying language impairment. (Note: this author personally worked with this child, and this is a true story with some details changed for confidentiality.) This chapter shows how even before formal special education testing commenced, conducting an extensive preassessment process helped to greatly increase the accuracy of the formal evaluation, eventual diagnosis, and intervention provided for Tanveer.

Special Education Evaluation Process

The school special education evaluation process can be a time of uncertainty for many families. Some families are apprehensive and unaware of the services that can be offered to them and their children. Many are not prepared to contribute ideas or have limited knowledge of possible resources. The chapter lays out how social workers can capitalize on their understanding of systems, mental health, child development, strengths-based perspective, social justice, and equity to best serve these families and their children during this process. The chapter presents an overview of the special education process; fundamental federal, state, and local policies and procedures; eligibility requirements; functional behavioral assessments; behavior intervention plans; and measurable individualized educational program goals. It reviews the essential steps that school social workers must take to ensure a comprehensive process while collaborating within a multidisciplinary team.

Research on Higher Education Evaluation and Decision-Making Based on Data Mining

Educational data mining is concerned with developing methods to explore the data from educational environments which provides insights that help in understanding the learning process and improving the educational outcomes. The evaluation and decision-making methods of higher education resources ignore the number of specific basic systems of resource evaluation and decision-making, resulting in the low accuracy of evaluation and decision-making. Therefore, a research on higher education evaluation and decision-making based on data mining is proposed. We analyze the application of big data in the field of higher education and design its optimal curriculum design model. We calculate the phased teaching task objectives of higher education curriculum, form its curriculum teaching guidance according to the influence degree between learners’ learning progress and learners’ thinking limitations, and obtain the learning effect produced by the optimal selection of curriculum teaching content. Then the probability of learners completing the structured teaching goal is calculated, so as to establish the optimal curriculum design model of higher education. Finally, we obtain the quantitative values of different experiences, extract the main influencing factors of resource evaluation and decision-making, and carry out higher education resource evaluation and decision-making analysis on this basis. The experimental results show that the research method improves the flexibility and universal applicability of higher education evaluation and decision-making, achieving an evaluation accuracy of above 90% and with below 7% error rate.

Application of Data Mining Algorithms in Data Analysis of Information Education Evaluation

In the new century, China has attached great importance to informatization work. Based on the development of education and teaching, the necessary infrastructure for informatization must be gradually improved. At the same time, we should make reasonable and effective use of information technology in the analysis of educational evaluation data, so that informatization teaching becomes an indispensable part of education. The purpose of this article is to study the application of data mining algorithms in data analysis of information education evaluation. This article will give full play to the interactive, dynamic and open advantages of the teaching resources of the network platform, combined with the ability of teachers to use information technology, rationally optimize the education evaluation data analysis system, use existing information technology to build an evaluation system, and evaluate the participating teachers. Ensure that the evaluation results are objective and effective. According to the overall framework and demand analysis of the system, the teacher information technology application ability assessment system is divided into different functional modules, each module is analyzed in detail according to user needs, and the corresponding database is designed. The evaluation system has an intuitive user interface, easy operation, and stable operation. It is suitable for first-line teachers and school administrators in primary and secondary schools to make a fair assessment of the teaching of teachers. Through the evaluation and analysis report, teachers can optimize and comprehensively understand their own teaching situation, see the problems in their teaching, and change the teaching method in time; appropriately summarize and analyze to improve the teaching level. Understand the teaching work of teachers, and realize the in-depth integration of informatization and teaching. Experimental investigations have shown that students have a great lack of experimental ability. The other four abilities are not far apart, all of which are above 70%. They are in the upper middle and upper reaches. Among them, the analysis and application tools are about 5% higher than the grade level. In general, the experimental ability must be strengthened to enhance. Let students achieve all-round development. Through the evaluation and analysis report, teachers can find their own shortcomings in teaching more clearly based on their optimization, and change the teaching methods in time; appropriately summarize and analyze to improve the teaching level.

An Empirical Study on the Countermeasures of Implementing 5G Multimedia Network Technology in College Education

Aiming at the problem of 5G multimedia heterogeneous multimodal network representation learning, this paper proposes a collaborative multimodal heterogeneous network representation learning method based on attention mechanism. This method learns different representations for nodes based on heterogeneous network structure information and multimodal content and designs an attention mechanism to learn weights for different representations to fuse them to obtain robust node representations. Combining the general process of exploring the college physical education model and the characteristics of the multimedia network classroom environment, this article constructs the process of exploring the college physical education teaching model of the multimedia network classroom. Through the research and practice of the inquiry college physical education teaching model in the multimedia network classroom, it is verified that the implementation of the inquiry college physical education teaching in the multimedia network classroom can effectively influence and increase the students’ interest in learning and stimulate the students’ inner learning motivation. Through the guidance and training of teachers, a variety of disciplines can be used to carry out college physical education in multimedia network classrooms, so that the integration between courses can be truly realized, with the aim that all courses can share the excellent results brought by the development of modern education technology. More educators understand, accept, and participate in the practice of college physical education based on multimedia network classrooms and better serve the education of college physical education. The construction of the college physical education evaluation system should be combined with the characteristics of the 5G multimedia network era. The evaluation process includes data collection, data analysis, result output, and result feedback. Each link is an indispensable part of the college physical education evaluation process. Based on the relevant knowledge of the 5G multimedia network, the evaluation indicators determined in this study can basically reflect the various elements of the physical education process in colleges and universities. The distribution of index weight coefficients is more scientific and reasonable. Compared with the current system, the college physical education evaluation system constructed by exploration has a certain degree of objectivity and scientificity. Therefore, it is feasible to apply the 5G multimedia network to the evaluation of college physical education.

Digital Dependence of Higher Education Evaluation: Challenges and Resolutions

The Digital dependence in this study is not a dependency on the Internet in traditional contexts. The digital dependence of higher education evaluation has the following manifestations: The widespread penetration of "digit" exists everywhere in higher education evaluation; “Digit” takes up the priority within the coordinate system of higher education evaluation; Irrational "digit" becomes disciplinary force by alienation in higher education evaluation. Its roots in the fact that it derives from the long-term restriction by the evaluation views on rationalism under the control of technological rationality, the promotion of simplifying perception of the higher education field, and the resource black hole and benefit inducement that "digit" can be manifested. Therefore, the key to eliminate the digital dependence in higher education evaluation and breaking the utilitarian thinking should include the following three aspects: returning the meaning of digital criterion in higher education evaluation to be genuine, clarifying the reasonable boundaries of the digital application in the evaluation of higher education, and optimizing the structure of the higher education evaluation system.