Design of Network-Assisted Teaching of Ideological and Political Courses for College Students Based on Android System

In order to be able to provide learning resources for learners anytime and anywhere and improve the quality of online teaching, a network-assisted teaching system for college students’ ideological and political courses based on the Android system is designed. The characteristics of the Android system platform and its hierarchical structure are analyzed, and the overall structure of the network-assisted teaching system was designed based on it and through the construction of the system user login module, learning resources module, operation management module, unit test module, and teaching interface display module, so as to achieve the effect of network assisted ideological and political course teaching. The preferences of students were fully considered, the needs of students with different resource spaces were matched, and the genetic algorithm is used to share the information of network teaching resources to meet the needs of ideological and political teaching. According to the experimental results, the system designed in this paper has high accuracy in the recommended content of ideological and political education resources and the coverage of resource recommendation is relatively high, indicating that the application effect of the system is better.

Research on Teaching Resource Recommendation Algorithm Based on Deep Learning and Cognitive Diagnosis

With the increasing abundance of network teaching resources, the recommendation technology based on network is becoming more and more mature. There are differences in the effect of recommendation, which leads to great differences in the effect of recommendation algorithms for teaching resources. The existing teaching resource recommendation algorithm either takes insufficient consideration of the students’ personality characteristics, cannot well distinguish the students’ users through the students’ personality, and pushes the same teaching resources or considers the student user personality not sufficient and cannot well meet the individualized learning needs of students. Therefore, in view of the above problem, combining TDINA model by the user for the students to build cognitive diagnosis model, we put forward a model based on convolution (CUPMF) joint probability matrix decomposition method of teaching resources to recommend the method combined with the history of the students answer, cognitive ability, knowledge to master the situation, and forgetting effect factors. At the same time, CNN is used to deeply excavate the test question resources in the teaching resources, and the nonlinear transformation of the test question resources output by CNN is carried out to integrate them into the joint probability matrix decomposition model to predict students’ performance on the resources. Finally, the students’ knowledge mastery matrix obtained by TDINA model is combined to recommend corresponding teaching resources to students, so as to improve learning efficiency and help students improve their performance.

Development and Application of Artificial Intelligence Multimedia Technology Based on Big Data

Artificial intelligence is an innovative enterprise theme that combines computer science, physiology, science, and other disciplines, including expert programs, technical experiments, games, native language understanding, cognitive rehabilitation, robotics, engineering, recognition, and other fields. The breakthrough growth made the arrival of the era of big data have a fundamental impact on many traditional industries and has also promoted the transformation of teaching methods and methods in the field of education. In the traditional classroom, due to the limitations of teaching resources, teaching time, and location, students are basically passively accepted by the teacher, and the teaching form is single. This will improve in the age of big data with well-developed network message. Modern distance education uses advanced technology such as computer networks, multimedia, and artificial intelligence to build a virtual teaching environment based on the network. It breaks through the limitations of teachers, teaching materials, experimental equipment, and other resources that exist under the traditional teaching model. Using educational resources of the same scale can expand educational capabilities exponentially and at the same time overcomes the unified progress of traditional teaching methods, single teaching methods, and students’ dissatisfaction. The shortcomings of differences and personalities that are not reflected are conducive to the improvement of the quality of education. It is the original intention of education to offer students special study resources and to stimulate students’ enthusiasm for learning. To enhance the current learning environment, the article builds a personalized multimedia network teaching system based on big data and streaming media technology. By recording the teacher’s class process as a video and uploading it to the multimedia network teaching system, students can watch and download related videos online for learning and also communicate online. The system can also provide personalized and intelligent recommendations for students based on student learning habits. The system is developed based on intelligent multimedia method and has the characteristics of security and stability and has done some help for network teaching of educational institutions.

A NEW MODEL OF TECHNOLOGY-DRIVEN E-FLIPPED CLASSROOM FOR STRATEGIC MANAGEMENT STUDENTS’ ENGAGEMENT DURING AND POST COVID-19 PANDEMIC

Since the end of 2019, the occurrence of unexplained viral pneumonia has been reported in Wuhan. Higher education institutions (HEIs) in Malaysia have decided to shift learning practices towards online learning systems to ensure the teaching and learning activities continue as usual. Universiti Utara Malaysia (UUM) established online classes, through live broadcast using Webex and to build a three-foot "cloud" podium for other network teaching styles. Therefore, this paper proposed a new model of a technology-driven e-flipped classroom for students’ engagement during and post COVID-19 pandemic. Data was from 230 student of Strategic Management class, Universiti Utara Malaysia in the semester 1 2020/2021. Based on the analysis, this study found that Edmodo as an online learning platform and flipped classroom approach enhance student’s engagement through online activities carried out on their self-paced learning styles.

Design of diversified teaching platform of college aerobics course based on artificial intelligence

In order to improve the diversified teaching effect of a college aerobics course, effectively improve the accuracy of student grouping on the teaching platform, a diversified teaching platform of college aerobics course based on artificial intelligence is designed. First of all, it puts forward the construction idea and design process of the network teaching platform, then designs the interface and function module of the teaching platform, and finally designs the grouping function of teaching objects, so as to complete the design of the diversified teaching platform of a college aerobics course based on artificial intelligence. The experimental results show that the grouping accuracy of students on the diversified teaching platform of college aerobics course based on artificial intelligence is greater than 75%, and the average score of students studying on the platform is 74.66. This explains why the designed platform can effectively provide the accuracy of grouping and the students’ performance.

An Empirical Study on the Fossilization of English Language Learning in the Context of Multimedia Network Teaching

To carry out the pilot teaching of multimedia assisted teaching and self-learning mode of network platform for experimental class, the data analysis results obtained by using tools such as questionnaire survey show that:The multimedia network teaching environment has a great effect on the students’ vocabulary knowledge fossilization, but has little effect on the grammar knowledge fossilization; The fossilization of reading ability among the four communicative abilities of English language is alleviated obviously, and the self-assessed oral ability of students improves faster after the addition of oral English classes; It accelerates the ossification of writing and listening ability, but it is mainly caused by the characteristics of the network itself and improper learning methods of students.

Network Course Recommendation System Based on Double-Layer Attention Mechanism

In view of the lack of accurate recommendation and selection of courses on the network teaching platform in the new form of higher education, a network course recommendation system based on the double-layer attention mechanism is proposed. First of all, the collected data are preprocessed, while the data of students and course information are normalized and classified. Then, the dual attention mechanism is introduced into the parallel neural network recommendation model so as to improve the model’s ability to mine important features. TF-IDF (term frequency-inverse document frequency) based on the student score and course category is improved. The recommendation results are classified according to the weight of course categories, so as to construct different types of course groups and complete the recommendation. The experimental results show that the proposed algorithm can effectively improve the model recommendation accuracy compared with other algorithms.

Middle School Physics Experiment Teaching Within “Internet Plus”: From the Status Quo to Implications

Middle school physics experiment is a significant basic course with extensive content and strong practicability. This course has high requirements for students to master and understand the background and basic principles of various physical experiments, as well as the working principles and the use of various experimental devices. Based on the importance of physics experiment teaching and the limitations of the traditional experiment teaching mode, this paper first reviews the traditional mode in the context of the Internet and puts forward the new physics experiment teaching mode within "Internet Plus" in the new era, including theoretical guidance of constructing the experimental teaching mode, the innovation of teaching methods and examination methods, and the prospect of promoting the development of education industry. At the same time, this paper puts forward the network teaching platform system that can implement the new physics experiment teaching, including exercises, flipped classroom, and Massive Open Online Courses (MOOC), and discusses them separately, hoping to provide research reference for middle school physics teaching and research in the future.

Research on Innovation of Design Education Based on Artificial Intelligence Technology

The network teaching assistance system uses the form of dialogue to discuss the teaching content with students, the course schedule arrangement, the way and technology of teaching and training, which can effectively improve the teaching quality, shorten the teaching time and increase the teaching efficiency to achieve the established optimization of teaching purposes. In this paper, a forum system for experimental teaching is proposed, which aims to establish a public communication platform to serve the experimental teaching process, and to apply it to the exchange and study between the experimental instructors and students. Through text multimedia technology, the quality of experimental teaching is improved, and students’ practical ability and innovative thinking are cultivated. The experimental teaching forum uses B/S structure to design the interactive platform of information exchange, and presents the information to the user through the browser. The transaction logic is processed by the server side, and the front-end represents the exchange of information.