Network Course Research Articles

The Flipped Classroom Approach via the M-Learning Model: Impact on Student Learning and Motivation

Over the past decade, there has been a growing emphasis on integrating modern technology into educational systems, particularly in the form of new information and communication technologies (NICT), including mobile technologies. Mobile learning (M-Learning) is an advanced form of e-learning that allows learners to access educational materials and knowledge sources through intelligent digital electronic devices in a flexible mobile environment. This study explores the impact of applying the flipped classroom pedagogical approach via the M-Learning model on learners' motivation. To investigate this, an experiment was conducted on a group of 86 learners in the Operating System and Local Area Network course, where M-Learning was adopted as the teaching model. The experimental group was compared with a control group, and the obtained results showed that the experimental group had a significant improvement in learning outcomes and remarkable motivation according to the ARCS model. The findings indicate that the experimental group demonstrated improved learning and remarkable motivation according to the ARCS model. This suggests that incorporating M-Learning into the flipped classroom approach can be an effective way to enhance learners' motivation and engagement in the learning process. Keywords : flipped classroom, m-learning, ARCS model, motivation. https://doi.org/10.55463/issn.1674-2974.50.4.18

Analysis and Application of Knowledge Points in English Network Course Teaching by Using PageRank

Analysis and Application of Knowledge Points in English Network Course Teaching by Using PageRank

Experience on “Networking I” course using simulation software and real devices for practices

The use of simulation software tools has demonstrated to be very useful in computer network teaching and learning processes for so long. Many advantages can be enumerated, but the outstanding one is a significant reduction in network devices acquisition cost such as routers, switches, wiring. Moreover, there is a time reduction on conventional physics laboratories launch (start-up). This article describes a study done in a Networking course context. It was organized by the Telecommunication Engineering Faculty at the Salta Catholic University (UCASal) in Argentina. The main study goal was to compare and contrast learning between students using laboratories with simulation software tools and those with real equipment.

Research on Fuzzy Comprehensive Evaluation Method in Wireless Sensor Network Course Evaluation

Wireless Sensor network (WSN) is a Capstone course in engineering education certification, because the implementation of this course should reflect implementation, complexity and teamwork. It is difficult for teachers to use traditional and linear assessment criteria to evaluate students' learning effects. Aiming at the above problems, an evaluation method of wireless sensor network course based on fuzzy theory and multi-level evaluation index factor set is proposed in this paper. The method imitates the evaluation experience and intelligent behavior of education experts, and obtains an optimal course evaluation model. Through the fuzzy comprehensive evaluation of multi-level index system, students' learning effect can be evaluated accurately, objectively, fairly and scientifically.

Development of Physical Education Network Course Resources Based on Intelligent Sensor Network

Judging from the current online teaching practice of higher physical education basic theory courses, there are many problems such as lagging theory, unclear models, confusing mechanisms, outdated methods, and lack of resources, resulting in the low interest of students. Basic theory courses are studied. The phenomenon of skipping class and being late is common, which seriously affects the improvement of the comprehensive quality of physical education students. Therefore, it has become an urgent problem for the majority of higher sports workers to develop learning resources for basic physical education courses and realize the innovation and application of the teaching mode of higher sports online courses. Compared with the traditional teaching method, the students’ physical education teaching performance is improved by about 30%, and their personality is fully developed. Linking teacher performance to changes in student performance parameters can effectively improve teacher motivation. This shows that under the background of intelligent sensor network, the physical education network course can effectively improve the teaching efficiency.

Choosing Collaborative Learning Options for Preparing Innovative Entrepreneurs

This paper focuses on comparing and choosing online and face-to-face collaborative learning applications for preparing students to innovative entrepreneurship. The main research question is: What are the pluses and minuses of programs with different time frames and combinations of online and face-to-face teamwork for facilitating innovative entrepreneurship and international scaling readiness? Learning concepts based on collaborative learning and improving the international networking readiness of students are presented. Estonian-Finnish business in virtual networks course, online teamwork experience of students that have participated in X-Culture global teams, intensive one semester face-to-face business development projects in the Starter programme and one-week course European and Global Horizons for Start-up Entrepreneurship in the Post-COVID World at the KEDGE Business School are compared. We analyse the pros and cons of these educational practices and give recommendations on how to customise these practices to intended learning outcomes depending on the international mobility possibilities of students. The paper explains how to align collaborative learning options to the entrepreneurial orientations of students, their readiness to launch a new venture and to international scalability potential of their innovative ideas. Limitations of intensive learning by doing programmes for team-based venture development and different ways of international student team creation for collaborative project work are explained. The recent COVID-19 crisis has expanded the need to apply online learning and hybrid learning for collaborative projects. Implications of limited international mobility of students during the pandemic on scalable business idea development are highlighted. The importance of networking knowledge for international entrepreneurship and the role of team projects for other entrepreneurs before starting students' own innovative ventures is explained. Learning in higher education should not be locked to closed e-learning platforms. Online learning can support international entrepreneurial collaboration. The paper also discusses changing trends of collaborative learning to facilitate innovation and green entrepreneurship for regenerative futures in the new normality during the COVID-19 pandemic.

Feasibility Deconstruction on the Establishment of Martial Arts Short Soldier Course Assisted by Multimedia Computer Network

Martial arts short-armed sport is an important item of martial arts. At present, the martial arts short soldier movement in the society cannot be carried out due to various reasons. As a sports academy, it is our responsibility to shoulder this important task. With the popularization of the Internet and the rapid development of multimedia and network technologies, human society has entered an information age. Traditional classroom teaching has been unable to meet the requirements of the times. Due to its characteristics of remote real-time interaction, network education has become a new generation of educational technology that combines network and multimedia technology. Network course is the most important learning content in network teaching, and its design, development, and implementation have received more and more attention. With the rapid development of computer network technology, the status of computer-aided teaching in teaching improvement has also been continuously improved. Computer-assisted instruction (CAI) is a hot topic in today’s classrooms. In physical education, computer-aided teaching makes up for the shortcomings of illustrations, text descriptions, teacher explanations, demonstrations, etc., in textbooks and overcomes the shortcomings of traditional teaching aids. It simplifies complex actions and concretizes non-decomposable actions. Computer-aided teaching can not only help students understand, master knowledge, and develop intelligence, but also help teachers master information and improve teaching quality. This study studies the recognition and application effect of CAI in the short-armed martial arts courses in physical education colleges. The data show that martial arts short-armed sports have outstanding advantages in combat, safety, fitness, and viewing. The experimental group scored around 90 points.

Design of distance education system for digital media online course based on improved genetic algorithm and speech recognition technology

The distance teaching of digital media network course under the network environment can improve the pertinence of teaching and the sharing of teaching resources. On this basis, a distance teaching system of digital media online course based on improved genetic algorithm and speech recognition technology is designed. The online course teaching system consists of network communication module, data acquisition module, bus transmission module and application loading module. The module connection and function control of online course teaching system are realized under VME bus architecture. Based on improved genetic algorithm and speech recognition technology, using eclipse as the development environment, the data storage layer, user analysis layer and log mining layer of online course teaching are constructed. The control and structure layout of online course teaching terminal are realized on the user interface, and the system optimization design is completed. The system test results show that the bus data transmission performance of the system for online course teaching is good, and it can effectively meet the personalized needs.

Usability, Ergonomics, and Extensibility Comparison of Computer Network Trainers for Basic Computer Network Learning Media

The use of computer network trainers has become a major preference in vocational education because it is proven to be better than computer network simulation software. However, the use of existing computer network trainers (Desknet Trainer and Netcube Trainer) becomes overlapping in the domain of basic computer network courses. A comparison study was conducted in the aspect of usability, ergonomics, and extensibility to find out which trainer was the most suitable for handling basic computer networking courses. A quasi-experimental method with a counterbalanced design was chosen to compare computer network trainers. The T-test was conducted with the results stating that the data significance value was greater than the significance level (0.241 > 0.05). Then H<sub>0</sub> is accepted with results stating that the two computer network trainers proved equal in handling basic computer networking learning. With such results, no recommendation can be drawn as to which trainer is superior. Both computer network trainers are allowed to be used together in basic computer network courses.

Integration and Recommendation of Multimedia Network-Assisted English Instructional Resources Based on Association Rules Mining

The integration of multimedia teaching refers to a novel teaching mode that combines multimedia, information resources, and information methods with content and teaching process in the teaching process with the guidance of contemporary educational ideas and organically unifies them on a spatial and temporal platform, so as to better accomplish the teaching tasks. However, with the deepening of network teaching and school connotation construction, various resources such as media materials, courseware, network courses, and teaching cases generated by education and teaching, as well as academic works, papers, patents, project results, and lectures of experts and professors gathered by scientific research, are increasing. In this situation, how to integrate teaching resources and courses to provide students with an independent learning platform and an information-based learning environment has become an urgent issue. For this problem, data mining has shown a strong vitality, and data mining can find out the potential connection between datasets. Association rule mining is the most researched and widely used data mining method. In this paper, we propose a multimedia network-assisted English integration of educational resources method based on association rule algorithm to give full play to the role of “multimedia technology” and realize the integration of traditional English teaching and information network culture, so as to achieve the purpose of optimizing English teaching. The experimental results show that with the increase of data volume, the average testing time of Apriori is reduced by 56.49 s compared with MapReduce, so the advantage of Apriori algorithm is more obvious. Therefore, this research can effectively provide students with rich and colorful personalized resources, realize high-performance interactive learning, and help students cultivate their independent learning ability as well as their lifelong learning habits.

Examining the effects of note-taking styles on college students’ learning achievement and cognitive load

This study investigated the effects of note-taking styles on college students’ learning achievement and cognitive load in a 6-week lecture-based computer network course. Forty-two students were randomly assigned into one of three groups, which consisted of collaborative note-taking, laptop note-taking, and traditional longhand note-taking. The results showed that students in the collaborative note-taking group did better on learning achievement and cognitive load than students in the other two groups. Particularly, students in the collaborative note-taking group had a significantly higher rate of learning achievement and a significantly lower level of extraneous load than students in the longhand note-taking group. Implications for practice or policy: College students can improve their learning achievement more effectively through collaborative note-taking style than individual note-taking style. College students can reduce extraneous load and improve germane load levels through collaborative note-taking. Instructors and administrators should encourage college students to take more collaborative notes during classroom instruction.

Design and Research of Computer Network Education and Teaching System Based on Multisensor Information Fusion

With the rapid development of information technology, information network has become the fundamental guarantee of social progress. The network is the basic material foundation of the information society. It is ubiquitous, and human activities are highly dependent on it. Education is also inseparable from the Internet. Online learning is emerging as a new form of basic education. At the same time, it needs to be considered that the information received by the sensor is always incomplete, reflecting the information measured in a particular part of the object but not understanding the total content. Therefore, it is necessary to use multiple sensors to identify an object from multiple angles, obtain additional dimensional information about the object, and combine multidimensional information. This paper introduces the design and implementation of a teaching network system for computer network courses, starting from the overall concept of the system, the selection of development methods and the specific implementation plan of the system, and then introduces the specific content of each module in the teaching system in detail. The recognition success rates of five groups of experiments based on multisensor information fusion are 96.9%, 95.7%, 98.4%, 96.3%, and 98.7%, respectively.

Blended learning and its implications for learning outcomes computer and basic networks for vocational high school students in the era of COVID-19 pandemic

The Covid-19 pandemic is increasing, and the online learning system can facilitate learning and make it easier for students and teachers. This research intends to assess the effects of Blend Learning on the learning outcomes of Computer and Basic Network courses during the Covid-19 Pandemic. This study employs literature research, with data collected from various publications and books assessed in light of existing issues. According to the findings of this study, there are a number of issues from the perspectives of teachers, students, and parents. During the current pandemic, teachers must be able to adapt to blended learning methods. Changes to the learning environment will impact students' psychological issues. Students suffer the stigma that learning activities school must take place at educational facilities; if they occur at home, it is assumed that they are on vacation. It is difficult and time-consuming to adapt to the fact that not all parents are able to use IT and internet-based work gadgets. Due to the fact that each student has a distinct learning style, this obstacle can be circumvented through the use of a combination of learning material.

Constructing a Music Network Teaching System by Using Neural Network Model with Wireless Audio Transmission

The purpose is to solve the problems that the traditional teaching methods limit the openness and extension of the music classroom, the interaction between teachers and students, the environment of students’ autonomous learning, and the music teaching situation. Wireless local area networks, Bluetooth, and intelligent transmission channels based on specific frequency can replace wired audio transmission and are widely used in the digital music classroom. Moodle system is used to build a music teaching network system based on the analysis of previous studies and the existing music teaching network platform. The system combines with Convolutional Neural Network (CNN) structure based on cloud computing to effectively identify and create music scores. The system effectiveness is further proved by analyzing the learning effect of the students and teaching effect of teachers in the conservatory of music. The results show that the system makes the experience of teachers and students in the teaching system different from before, and students can freely choose the time and place of class. In addition, the teaching method is flexible, and the teaching methods and resources are real-time. Therefore, in the music teaching network course, it overcomes some shortcomings of the traditional teaching mode. The music class is open and flexible. Teachers and students can have more interactive behavior and realize the students’ self-study and music teaching environment. This exploration can provide a theoretical basis and practical experience for music-related teaching.

Optimization of Online Course Platform for Piano Preschool Education Based on Internet Cloud Computing System.

This article focuses on introducing online piano teaching methods and has developed and implemented a preschool piano education online course platform. The system consists of four parts: backend, WeChat, client, and web page. Backend development uses PHP language and Laravel system framework, WeChat and web development both use JavaScript language and React framework, client development uses Objective-C language, and the system provides internal support for RESTful API, mainly for client, WeChat, and web. The client relies on the existing voice sensors of the research group to recognize and evaluate the performance of the students. The role of the client is to show the students their homework and demonstrate the activities performed by the teacher. The function of the WeChat terminal is to manage student work, user information, and user social interaction functions. The function of the web page is the score management and data analysis functions. Based on the knowledge of network course design, this article studies the design of piano preschool education platform and adds relevant components of the Internet cloud computer system and voice sensor to this platform, which provides great convenience for students to learn piano.

Design and Implementation of Computer Network Virtual Experiment Education Teaching Platform Based on Mathematical Image and Signal Processing

Computer network, as the basic course of teaching information majors in colleges and universities, in the process of teaching and learning, shows the characteristics of rich content, abstract theory, and difficulty understanding. This requires us not only to pay attention to theoretical teaching but also to pay attention to experimental teaching in the study of this subject. The current computer network experiment teaching mainly takes the form of computer room as the teaching location, which consumes a lot of manpower and material resources. That computer network experiment teaching based on simulation has lost the practical significance of network teaching. Through the analysis of the characteristics of the experimental teaching of computer network courses, this study studies and designs a set of computer network experimental platforms based on virtualization, aiming at the deficiencies in the existing experimental teaching of computer network courses. When the thread pool is 1, 2, 3, and 4, the average response time of the system is 324873 ms, 279309 ms, 227300 ms, and 221670 ms, respectively.

The Value of Cooperation

The well-known Additive Increase-Multiplicative Decrease (AIMD) abstraction for network congestion control was first published by Dah-Ming Chiu and Raj Jain in their seminal work [4] in 1989 and soon played a prominent part in TCP algorithm design for the Internet. The ingenuity of AIMD lies in the abstraction of Internet congestion control, and ever since its inception has also been a staple part of teaching curriculum for performance evaluation and computer networking courses at universities worldwide. In this paper, we describe teaching examples for university students to appreciate the AIMD abstraction from the theoretical aspects such as convex optimization and Perron-Frobenius theory to the data science aspect. The essence of cooperation encompassed by AIMD reverberates even in teaching networks formed by students and educators, giving rise to online classroom flipping teaching tools and data analytics to close the gap between teachers and students.

Research on the Application of Computer Photoshop Software in University Network Courses

The design and construction of online courses is the beginning of online course teaching. The course content must follow the development trend of the industry, and constantly improve and update. This course can maintain the attractiveness and vitality of the online course platform and fully mobilize the enthusiasm of students. Using online courses platform for self-learning. Based on the development practice of Photoshop network course, this paper introduces the teaching design link in the network course, and studies and discusses the functional modules and development technology of the network course.

Research on the Teaching Reform of Computer Network in the New Era

The Computer Network course is widely offered in colleges and universities. This course is both theoretical and practical. It organically combines theory and practice in order to achieve the goal of teaching. The main objective of the course is to train students to have various skills, including those of enterprise scale network construction, network management, and network maintenance. Influenced by traditional teaching for a long time, the existing teaching of the course in colleges and universities urgently needs reform; otherwise, it will not be able to meet the social demand for talents in the new era. This paper focuses on the practical problems of the Computer Network teaching reform and proposes some effective reform suggestions, hoping to engender an efficient link among the Computer Network course teaching, talent training, and the social needs in colleges and universities.

A Progressive Three-Stage Teaching Method Using Interactive Classroom Activities to Improve Learning Motivation in Computer Networking Courses

Generation Z students have their learning preferences. They like to learn independently, advocate for what they believe in, and work hard to achieve their goals. However, there are significant gaps between Generation Z students’ expectations for learning and prior experiences, especially for three domains of motivation in online learning environments: relatability, affirmation, and opportunity. This study aims at exploring the effectiveness of a progressive teaching method designed for Generation Z students in computer networking courses. This study proposes a progressive three-stage teaching method that gradually implements traditional lecture, individual flipped learning, and cooperative flipped learning methods over a semester. The design principle of this study differs from most existing studies that focus on the effectiveness of specific teaching methods. This study encourages each student to learn sequentially through three teaching stages. The purpose of this study is to investigate the changes in students’ learning experiences, particularly in terms of learning comprehension and learning motivation. The research results show that the proposed progressive teaching method can improve students’ understanding of computer networking courses and enhance their learning motivation. Participants agreed that the proposed progressive pedagogy can improve their teamwork skills and provide a different learning experience in the computer networking courses.