A docker-based online experiment teaching platform and an implementation method thereof

Abstract

The invention discloses a docker-based online experiment teaching platform and an implementation method. The docker-based online experiment teaching platform comprises three system roles, namely an administrator, a teacher and students. The administrator has the functions of pulling a docker mirror image, adding courses and experiments and binding the mirror image with the experiments; The functions of the teacher comprise course experiment release, student experiment progress supervision, experiment cut-off and student experiment result evaluation; The functions of the students include: creating an experiment environment, completing experiment requirements and checking experiment evaluation. The invention provides a docker-based online experiment teaching platform and an implementation method thereof. tedious work caused by configuring the same experiment environment in the server is simplified; The teaching efficiency is improved, the operation is convenient and fast, a plurality ofstudents do not interfere with each other when experimenting at the same time, the experiment experience is improved, the requirements of the students for course experiments are reduced, and the problems of equipment configuration conflicts between teachers and learners and low teaching efficiency in online teaching courses at the present stage are solved.

Description

technical field [0001] The invention belongs to the field of education and teaching, and in particular relates to a docker-based online experimental teaching platform and an implementation method. Background technique [0002] Due to the limitations of the teaching mode of the large open online course itself, such as the low ratio of teachers to students and the lack of a unified course experiment platform, both teaching and learning parties still face many difficulties in answering questions and discussions, homework corrections, and course experiments. In some links that require students to practice, such as computer programming language, operating system, distributed big data processing and other courses, students use their own computers as the experimental environment, neither have the same software and hardware configuration, nor can they meet the needs of distributed courses. Due to the hardware requirements of the experiment, students use their own operating systems a...

AI Technical Summary

Problems solved by technology

[0002] Due to the limitations of the teaching mode of the large open network course itself, such as the low ratio of teachers to students and the lack of a unified course experiment platform, both teaching and learning parties still face many difficulties in answering questions and discussions, homework correction, and course experiments. In some links that require students to practice, such as computer programming language, operating system, distributed big data processing and other courses, students use their own computers as the experimental environment, neither have the same software and hardware configuration, nor can they meet the needs of distributed courses. Due to the hardware requirements of the experiment, students use their own operating systems and cannot achieve a unified teaching environment. In many cases, both teaching and learning parties spend a lot of energy on the deployment and configuration of the experimental environment, instead of being able to focus on the content of the course experiment, resulting in the release of the platform of experiments are often not well done by students

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