Abstract
In this work, we studied the online blended learning model of computer network experimentation, focusing mainly on the problem of traditional network experiments being limited by location and time, and explore the applicability of the small private online course (SPOC) advanced teaching concepts to computer network online experiment teaching. Based on the structure of a combination of virtual and real, real and not virtual, an online network experiment platform and management system has been designed and constructed, enabling students to carry out remote online computer network hardware experiments anytime and anywhere, without being restricted by time, space, or content. Using the online network experiment platform, we can organize the experimental modules and knowledge points via the SPOC course concept, by developing online network experimental content, modularizing and fragmenting of the experiments, creating the pre-experimental explanation and experiment preview videos, and evaluating the assignments via peer grading to analyze students’ learning behavior. By exploring online network experimental teaching methods and management models, offering experimental guidance in an interactive manner, and highlighting the openness and sharing characteristics of online experimental teaching platforms, we can improve the utilization rate for teaching resources, and provide ideas for applied scientific research methods.
Highlights
In this paper we start with the online blended learning method, and study the beneficial effects of online experimental platform construction, small private online course (SPOC) construction, and assignment evaluation on experiment teaching
Physics online experiment platforms are set up on the internet in the same way as an SPOC, meaning students are not restricted by physical conditions such as venue and time, which promotes the continuous growth of experimental teaching resources [6,7,8]
In order to improve the online blended learning, we have addressed four problems in peer grading: the evaluation of students’ cognitive ability, task assignment in peer grading, removing the noise data in the within a certain period of time, they can make an appointment for online experiments and complete network experiments outside of class
Summary
In this paper we start with the online blended learning method, and study the beneficial effects of online experimental platform construction, small private online course (SPOC) construction, and assignment evaluation on experiment teaching. In recent years, due to the development of the mobile internet, cloud computing, big data, and artificial intelligence, a solid technical foundation has been laid for revolutionary breakthroughs in the experimental methods of computer-oriented courses It is against this background that the traditional computer experimental methods have been reformed using online experimental platforms. Our network experiment courses use a blended learning method that combines offline experiments with online experiments and online peer grading to improve students’ handson ability and their level of knowledge. Through analyses of the teaching method, the submissions (and the learning) of the students, and the students’ exam grades, we analyze the gaps in students’ knowledge and provide learning path planning This online blended learning method provides a new way of studying educational science.
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