A hybrid learning evaluation system and method based on cloud computing and Internet of Things technology

Abstract

The invention provides a hybrid learning evaluation system and method based on the cloud computing and the Internet of things technology and belongs to the field of computational applied science. In terms of process evaluation for supporting blended learning, the conventional learning systems fail to provide flexible process evaluation for different subjects in a blended learning mode. The system provided by the invention comprises five modules, which are a behavior collection module, an evaluation method setting module, a score input module, a score calculating module and a score output module, realizes blending of online learning and offline learning, and realizes the process evaluation of blended learning with a higher informationization degree.

Description

technical field [0001] The invention belongs to the field of computer application disciplines, and more specifically relates to an evaluation system and method for blended learning based on cloud computing and Internet of Things technology. Background technique [0002] With the continuous development of information technology, blended learning has gradually become a teaching mode accepted and adopted by teachers and students. In addition, in the teaching process, teachers' evaluation of students has gradually changed from goal-oriented formative evaluation and summative evaluation to process-oriented process evaluation. Teachers and students not only pay attention to the results of learning, but also start to pay attention to the process of learning. [0003] Blended learning consists of two processes: online learning and offline learning, among which online learning is mainly carried out on the online learning system. Since each subject has its own characteristics, teach...

AI Technical Summary

Problems solved by technology

[0007] 1. Some learning systems only support online learning, without integrating online learning and offline learning, and cannot well meet the needs of blended learning

[0008] 2. Some learning systems are not flexible enough in the way of process evaluation. Although there are many evaluation items or evaluation indicators, the evaluation items or evaluation indicators can also be weighted, but they are not refined to specific evaluation items according to the characteristics of the subject. evaluation method

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