학술논문

The Application of University Computer Network Course Teaching Platform Based on Moodle+LAMP Technology
Document Type
Conference
Source
2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC) Applied Intelligence and Sustainable Computing (ICAISC), 2023 International Conference on. :1-7 Jun, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Surveys
Knowledge engineering
Costs
Databases
Education
Computer networks
User experience
moodle
mixed learning theory
teaching platform
lamp
question bank exercise system
Language
Abstract
In order to solve the shortcomings of Moodle’s question bank exercise activity module and make it better meet the specific needs of this course, a college computer network course teaching platform based on Moodle + lamp technology is proposed. Using Moodle’s development technology and lamp to design and develop the exercise subsystem of the question bank, using the knowledge of software engineering to increase the possibility of its implementation, and finally designed and implemented the system, and investigated the implementation effect. Compared with the original question bank exercise module in four aspects, the system has improved and convenient topic import function, supports comprehensive random volume issuance, the operation is simple and fast, and improves the flexibility of the system. The result finding that the “feedback” activity was launched in the Moodle platform, and a simple survey was conducted on 40 students participating in the teaching experiment, and 36 answered, indicating that the teaching of College Computer Foundation Based on Moodle + lamp environment is effective. Most students are willing to accept this kind of learning, it proves that the platform improves the course activity function supported by the teaching platform and helps students learn the course better.