Network Course Research Articles

Exploration and Practice of Project-Based Teaching Reform Oriented to Engineering Education

With the shortening of knowledge iteration cycle, enterprises urgently need innovative practitioners to solve complex engineering problems, and engineering education reform is imminent. Taking the wireless sensor network course of Guangdong University of Science and Technology as an example, this paper explores the related elements of project-based teaching based on real social engineering projects, and constructs a project-based teaching mode with project as the carrier, learning as the center, and engineering quality training as the core. It is hoped to provide reference for quality goals, knowledge deconstruction, implementation process and evaluation system for the transformation of new engineering and the promotion of engineering education.

Research on Virtual Reality Network Course Technology under Computer network technology

This paper explores the introduction of virtual simulation experiment as an auxiliary teaching method into the course teaching of computer network. This paper uses Packet Tracer virtual simulation software to explain the application of virtual simulation experiment teaching in computer network course in detail by introducing cases, analyzing cases, solutions, autonomous learning, basic steps, experimental tests and results. The practice proves that the virtual simulation experiment teaching is helpful to improve the teaching effect. This article through the image, intuitive, vivid graphical interface operation, convenient for students to understand and grasp the knowledge point.

Evaluation of landfill leachate biodegradability using IOT through geotracking sensor based drone surveying

In specific this work focuses on designing and developing a trial model first of its kind which is chemically non reactive using Urea Formaldehyde (UF) and a value added flat board that is to be prepared from solid waste. The display setup is to be monitored by Arduino Controller which incorporates the assessment of numerical factors and measurable compositions in the board. The compilation of manufactured goods from organic waste is a course of development network that is centrally operated by Radio Frequency Identification (RFID) tools. Preservation of database from the organic fraction is managed through software guidelines, the fifth generation radio technology with lower economic can cover communication over a larger radio spectrum with the support of ultra high frequency RFID Tags and systems, which assure the most favourable management of valuable products from the storage unit. Sensors attached with board and cloud platform supports collection of data from the huge solid waste yard. The current leachate management has a desire to suggest a strong resolution in handling solid waste that is elaborated with a novel methodology, where we suggest the radiofrequency identification of leachate monitoring by the use of modern versions of unmanned aerial vehicle the drones. At some stage in neutralizing the toxic waste the risk of life may be eliminated and accumulated waste were identified and with the support of advanced techniques and instruments like drones are used in managing wastes.

Research on Musical Tone Recognition Method Based on Improved RNN for Vocal Music Teaching Network Courses

The test results show that the fast Fourier process with multiple time superposition and a dimension length of 40 is most beneficial to the accuracy of the model. The loss curve value of the convolutional recurrent network model (CRN) is much lower than the other three models. The music tone recognition model learns better. The accuracy rate value and recall rate value of the CRN are the highest, and the accuracy rates of the four music tone indicators are 94.6%, 92.4%, 93.5%, 92.5%, and the recall rates were 93.2%, 94.9%, 95.2%, and 88.6% respectively; the improved algorithm was the most accurate in terms of F1 values and is suitable for use in vocal music teaching courses. The results show that the algorithm can be broadly performed in the zone of music tone recognition and has a certain contribution to the development of the field of music tone recognition.

A Research Translation, Implementation and Impact Strategy for the Australian Healthy Environments and Lives (HEAL) Research Network.

Healthy Environments And Lives (HEAL) is the Australian national research network established to support improvements to health, the Australian health system, and the environment in response to the unfolding climate crisis. The HEAL Network comprises researchers, community members and organisations, policymakers, practitioners, service providers, and other stakeholders from diverse backgrounds and sectors. HEAL seeks to protect and improve public health, reduce health inequities and inequalities, and strengthen health system sustainability and resilience in the face of environmental and climate change, all with a commitment to building on the strengths, knowledge, wisdom, and experience of Aboriginal and Torres Strait Islander people, culture, and communities. Supporting applied research that can inform policy and practice, and effective research translation, implementation, and impact are important goals across the HEAL Network and essential to achieve its intended outcomes. To aid translation approaches, a research translation, implementation, and impact strategy for the HEAL Network was developed. The strategy has been created to inform and guide research translation across HEAL, emphasising communication, trust, partnerships, and co-design with communities and community organisations as well as the decision-makers responsible for public policies and programs. Development of the strategy was guided by research translation theory and practice and the Health in All Policies and Environment in All Policies frameworks. As described in this paper, the strategy is underpinned by a set of principles and outlines preliminary actions which will be further expanded over the course of the HEAL Network's activities. Through these actions, the HEAL Network is well-positioned to ensure successful research translation and implementation across its program of work.

Video transmission and teaching simulation of piano network course based on mobile service terminal development

Video transmission and teaching simulation of piano network course based on mobile service terminal development

Retracted: Personalised Recommendation of PE Network Course Environment Resources Using Data Mining Analysis.

[This retracts the article DOI: 10.1155/2022/1032976.].

NNeduca: A software environment to teach artificial neural networks

AbstractArtificial neural networks are an integral part of the curriculum in many undergraduate computer science programs. This paper introduces NNeduca, a simulation software system designed to teach undergraduate students the fundamental concepts of artificial neural networks. The system is written in Java and aims to provide an intuitive user interface, support for research and learning activities, and the ability to expand. This tool allows students to design and train a neural network with any architecture they desire and visualize some artificial neural network theoretical concepts such as definitions, topologies, training methods, and structure. An overview of educational software systems to aid in learning the fundamental concepts of neural networks was created based on a systematic literature review. A comparison of existing simulation systems and the developed NNeduca tool was performed in this paper. The evaluation was carried out using a newly developed model for assessing the quality of selected systems using established criteria formed as a result of a thorough examination of relevant methods of evaluating educational software. The usability evaluation results show that the NNeduca tool received the highest ratings, indicating that it can significantly improve the teaching process in artificial neural network courses.

Metodologia utilizării software-ului specializat în procesul de studiere a rețelelor de calculatoare

The article proposes didactic and technical tools for studying the Computer Networks course, taught at university computer science majors. The Computer Networks course is essential for future computer science majors, but has a strong practical aspect and requires specialized network simulation software and hardware, often inaccessible to students.

Students' performance in interactive environments: an intelligent model.

Modern approaches in education technology, which make use of advanced resources such as electronic books, infographics, and mobile applications, are progressing to improve education quality and learning levels, especially during the spread of the coronavirus, which resulted in the closure of schools, universities, and all educational facilities. To adapt to new developments, students' performance must be tracked in order to closely monitor all unfavorable barriers that may affect their academic progress. Educational data mining (EDM) is one of the most popular methods for predicting a student's performance. It helps monitoring and improving students' results. Therefore, in the current study, a model has been developed so that students can be informed about the results of the computer networks course in the middle of the second semester and 11 machine algorithms (out of five classes). A questionnaire was used to determine the effectiveness of using infographics for teaching a computer networks course, as the results proved the effectiveness of infographics as a technique for teaching computer networks. The Moodle (Modular Object-Oriented Dynamic Learning Environment) educational platform was used to present the course because of its distinctive characteristics that allow interaction between the student and the teacher, especially during the COVID-19 pandemic. In addition, the different methods of classification in data mining were used to determine the best practices used to predict students' performance using the weka program, where the results proved the effectiveness of the true positive direction of functions, multilayer perceptron, random forest trees, random tree and supplied test set, f-measure algorithms are the best ways to categories.

Power of eLearning from promises to practices applied in engineering

Significant strides are being made in the development of Information and Communication Technology (ICT) by infusing ICT as a tool for learning and education. Expansive and visionary programs are initiated meant to transform university education. The latter have jointly contributed to the considerable progress of the renewed curricula development and implementation, including the hybrid learning model for a number of key courses such as mathematics, science, computer networks, programming and ICT. Sectoral digitalization is implemented due to the digitalization strategies and initiatives. Computer and science labs support e-learning and of course the training and retraining of the teaching staff for new curricula (study-programmes), new pedagogical methodologies and assessment strategies. In general terms, the study-programmes have been renewed/redesigned to become more relevant fulfilling students’ needs, while the specific outcomes are based less on knowledge and content and more on learning skills and competences, i.e. real-world applicable tasks/activities. The paper describes the study case of the presentation format for the Computer Networks course, which can be found in the study plan/syllabus of several study-programmes at the Faculty of Computers, Informatics and Microelectronics (FCIM) and the Faculty of Electronics and Telecommunications (FET) of the Technical University of Moldova (TUM).

Framework for Using Professional Engineering Tools to Develop Games in Post-Secondary Education

Teaching is changing with increasing emphasis on teaching digitally to enable remote learning. While it gives more opportunities to engage students, it also makes it harder to learn professional skills, which is especially important for the engineering field. One problem might be the lack of professional tools for the digital education of engineers. The purpose of this work is to assess the feasibility of creating digital educational games by shaping professional tools themselves as games for post-secondary education, and to develop a framework for such a process. This article demonstrates a case for applying the proposed framework to develop a game for a communication network course using a computer network simulator. The findings of this work highlight the need to create such games in higher education based on professional tools.

Tools and Techniques for Teaching and Research in Network Design and Simulation

Computer networking is taught for some time at universities. A network is a complex mix of applications, communications protocols and link technologies, traffic flows and routing algorithms. Teaching the networking concept, the network design process is a challenging task, requiring designers to balance user performance expectations with costs and capacities. One of the obvious approaches employed to deal with its complexity is through the use of modelling and simulation techniques. This paper examines three best educational tools that can be used in the Computer Networking course at Cardiff Metropolitan University or any University for educational purpose. The paper demonstrates that a successful teaching programme needs to combine a range of teaching tools to achieve its aims. Analysing various aspects of the course provides evaluation of the overall success of the tools. Many network design and simulation tools have been studied. Based on our research and experiment, the best educational tools were selected that could be used for the purpose of teaching in the area of computer communications networks. The wide area network modelling tool Delite, the network simulator ns-3, the topology generation tool Brite can be used together to teach students the networking concepts. These tools can not only help students to understand computer network principles but also improve their network practical skills. Currently there are various tools available that are created by different companies and groups of researchers in academia and that are intended for use as practical and/or educational tools for network design including security issues. To make this task easy, different users, researchers and companies have developed different network modelling and simulation (MS) tools. Very often, such tools are addressing different issues in the network design process which are complementary to each other. It would be useful for learning and improving the network design process by allowing the use of a variety of tools.

Research on Online Framework of Distributed Computer Communication Network Course Training

The article mainly analyzes the structure of distributed computer network and the specific measures for its optimization. The distributed computer network includes the connections and servers of different clients, and the architectural style is introduced into the existing "computer communication network excellent course system", which makes the system more concise and standardized, and improves the scalability of the system. At the same time, any system can communicate with other systems. Compared with other network structures, the multi-version parallel development mode is adopted to ensure the development of new functions and the improvement of stability. This enables new requirements functions to be quickly responded to in high versions, while reducing their impact on the stability of the framework itself.

Research on Intelligent System of Computer Aided Ideological and Political Course Teaching

This paper focuses on the design scheme of the auxiliary teaching system for ideological and political theory courses using J2EE architecture design. In this paper, the overall planning of the system's architecture, work flow, system function, data structure, etc. is carried out, and it is designed and implemented in detail. The system adopts B/S three-tier structure and uses JSP technology to design dynamic pages. Consider using JavaBean to encapsulate the key code of the program from the aspects of system security and code reusability. Use CASE tools and object-oriented modeling language in system design. Through UML modeling language, use VISIO, ROSE and other modeling tools to analyze and design the system to generate conceptual models and entities of the system. Through requirement analysis and detailed design, the user login module, network course module, online examination module, learning resource module and exchange forum module are finally realized. Finally, the thesis assists the realization of the functions of each module of the teaching system, and carries out corresponding tests and verifications, and the system is in the testing stage and plays a great role in practice.

Media Pembelajaran Inovatif Game Based Learning Pointer pada Materi Topologi Jaringan Komputer

The aim of this research is to design a game-based learning method for computer network courses. This method is used to increase the Army Polytechnic non-commissioned officers understanding on network topology topic. This game is called POINTER, contains an innovative game-based learning method that has adopted rules from the monopoly game. This game-based innovative learning method has been tested on student non-commissioned officers who are taking computer network courses. Educational games are one of the learning tools that can make students interested in learning and help understand lecture material. Besides studying, student non-commissioned officers play. The research method used is research and development (research and development), that aim to develop interactive learning multimedia based on educational games with instructional games models on network topology material, computer network courses. By using this learning method, student non-commissioned officers understand more about computer network topology because learning is more interesting.

On the exploration and practice of curriculum ideology and politics in the construction of computer network courses

Statements were put forward at the ideological and political work conference in China's colleges and universities that the effective combination of different courses and curriculum ideology and politics, especially the full use of classroom teaching channels, can achieve coordinated development. However, it should be noted that at this stage, there are still some problems in the computer network courses of colleges and universities in China, and how to apply the ideological and political aspects of the course and give full play to its maximum effect is an important way for computer network courses to be carried out normally. This paper mainly expounds the importance of curriculum ideology and politics, as well as the current situation of curriculum ideology and politics in computer network courses, and further puts forward corresponding teaching strategies, so as to contribute to China's teaching work.

Improving essential knowledge and self-efficacy in computers network course: The potential of chatbots

In university-level education, the computer network is a mandatory course for computer science and engineering majors. A computer network course provides theoretical and hands-on foundations for network connectivity, network topologies, internet protocols, networking devices, and gateways. In the traditional classroom, students face challenges in gaining essential knowledge and self-efficacy. Teachers face challenges in assessing students’ quality of knowledge due to the abundance of online computer science teaching resources. Chatbot technologies have the potential to overcome these challenges and enhance essential knowledge and self-efficacy. However, the argument remains whether a course-specific standard chatbot or a generalizable chatbot could produce high-quality answers. Therefore, in this paper, we research 1) to what extent does using chatbots improve higher education students’ essential knowledge of computers network? and 2) to what extent does using chatbots improve the self-efficacy of higher education students? Our first insight indicates that groundbreaking generalizable chatbots such as You and ChatGPT produce rather detailed answers to the questions associated with computer network courses, but those answers may not be the model answers that teachers expect from the students. Hence, research-based course-specific standard chatbots are required to teach computer network topics effectively.

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

Research on the Development and Utilization of Learning Resources in Network Courses

Research on the Development and Utilization of Learning Resources in Network Courses