Designing an Adaptive Learning Platform Based on OBE Teaching in Cloud Computing

Abstract

Currently, cloud computing has become a new educational model, which not only solves the problem of resource access for teachers and students in the traditional teaching process, but also promotes the sharing and optimization of educational resources. Currently, cloud computing technology has been accepted and deeply used by more and more universities. The adaptive learning platform based on OBE teaching mode is designed and formed in this context. The main purpose of this paper is to study the design of adaptive learning platform based on OBE teaching and learning from the perspective of cloud computing. This paper combines the “OBE” concept with various learning models that are currently popular. The platform can be used for teaching without the need for teachers to design teaching programs and change the way teachers teach and learn. The adaptive learning platform can dynamically adjust the learning program, content and resources according to the actual situation and learning of the students, and the students can exit the system interface at any time after completing their assigned learning tasks and continue learning after self-modification of the current learning content. This platform enables students to learn each knowledge area more independently by dynamically adjusting the management of classroom progress and course schedule through independent selection of learning content, adjustment of learning time and learning plan. At the same time, teachers can use the platform to provide personalized guidance and supervision, as well as comparative analysis and summary of learning results.