The Platform fully supports the practical aspects of college talent training, including diversified training labs and a cloud-based experiment environment that is both diverse and lightweight. It focuses on core scenes such as practical project preparation, teaching implementation, process monitoring, and teaching evaluation. Leveraging Neusoft's industrial advantages and educational accumulation, it integrates real enterprise project cases to effectively enhance students' engineering practice skills and professional quality. Additionally, it provides a robust assessment system for teachers to objectively evaluate students' learning outcomes while enabling students to self-assess their progress and skill mastery.Cloud technology optimizes resource allocation and promotes efficient utilization, thereby helping colleges and universities reduce the construction cost of practical teaching environments. This makes it an invaluable tool for facilitating the digital transformation of higher education institutions.
Feature
Diversified Cloud Experimental Environment
The diversified cloud experimental environment is lightweight and powerful, which can be quickly deployed with one click, and practical teaching can be carried out anytime, anywhere.
Real-time monitoring of students' experimental progress, automatic collection and traceability of experimental process data, so that the experimental results can be traced, and the whole process of the experiment can be conveniently controlled.
- Experimental procedure detection, real-time auxiliary teaching
Real-time detection of students' operation steps in the experimental environment, and feedback the results to teachers and students to improve the interactive teaching experience.
- Teachers assist and guide remotely to improve teaching effectiveness
In the process of students doing experiments in the online environment, teachers can remotely open the students' experiment interface, assist students in experimental coding, and guide students in experiments.
- The course achieves intelligent evaluation
Based on the completion of the experiment, the achievement of the course objectives is analyzed, so as to meet the evaluation of teachers and students on the mastery of course knowledge and skills and the achievement of teaching goals. It promotes teaching in real time through data precipitation and data changes, and monitors the teaching quality.
- Evaluate position intelligently
Construct an adaptive matching of knowledge and skill points and talent positions, realize capability modularization, intelligent learning, and visualization of results, so that the process can be monitored, talents can be evaluated, and positions can be matched.
The five-tier advanced experimental project design progresses from the surface to the depths, comprehensively grasping the principles of students' learning and development to ensure progressive learning benefits.
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