2016Unpublished venueRequires access

Interactive Medical English Teaching Model Research Based on Network Platform

Lei Liu

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Abstract

Combining with the characteristics and actual demand of medical English, network-based medical English autonomous learning platform is put forward. This platform adopts Browser/Server architecture and it is developed based on ASP.NET technology and SQL Server 2005 database. Overall architecture, function and database are designed in detail. The platform provides learning tool and learning resources for students. Teachers can also use the platform to enrich learning resources. After testing, it is concluded that this medical English teaching platform has good performance.

About this research paper

What this paper is about

Combining with the characteristics and actual demand of medical English, network-based medical English autonomous learning platform is put forward. This platform adopts Browser/Server architecture and it is developed based on ASP.NET technology and SQL Server 2005 database. Overall architecture, function and database are designed in detail. The platform provides learning tool and learning resources for students. Teachers can also use the platform to enrich learning resources. After testing, it is concluded that this medical English teaching platform has good performance.

Why it matters

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Key contribution

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Method / approach

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Main findings

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Available abstract

Combining with the characteristics and actual demand of medical English, network-based medical English autonomous learning platform is put forward. This platform adopts Browser/Server architecture and it is developed based on ASP.NET technology and SQL Server 2005 database. Overall architecture, function and database are designed in detail. The platform provides learning tool and learning resources for students. Teachers can also use the platform to enrich learning resources. After testing, it is concluded that this medical English teaching platform has good performance.

Key concepts: Computer science, Architecture, Sql server, Function (biology), Server, Multimedia, SQL, Autonomous learning

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