Adaptive Internet-Based Online Courses Research

Abstract:

[Purpose] This paper explores the problems in online courses. It gives suggestions which are self-adaptive courses generation, network concepts, content, learning content and composition of the learning process requirements. [Method] These methods are used, which are theoretical research, systems analysis, functional development and design, environmental testing, experimental control and other methods etc. [Results] The existing online courses follow the traditional mode of teaching and the learning content can not differ from person to person. The course content and network resources can separate from each other, limiting the learner's learning behavior and effects, limiting the learner's effective use of network resources. Therefore, the network self-adaptive courses are the online courses which can meet the requirement of learners who have different cognitive and learning styles. If a learner can learn according to their existing cognitive structures and learning experience, his/her learning effect and probability of success is significantly larger than the external imposition of learning. [Conclusions] Adaptive network is a kind of new course format which is Internet-based content dissemination activities, according to different learners at different levels of cognitive structures generated for different learners to learn the content, to maximize the use of a variety of learning tools to support different learning styles and different learning behavior.

• Periodical: Advanced Materials Research (Volumes 468-471)
• Pages: 34-37
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.468-471.34
• Online since: February 2012
• Authors: Yu Hong Wang, Yan Xia Tang, Jia Jun Liu
• Keywords: Adaptive Type, Courses, Network Environment

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