Open AccessDesigning a Teaching Website for Early Warning Technology Support Specialty Based on Information Architecture
Author(s) -
Xiaobin Huang,
Zhang Yan
Publication year - 2022
Publication title -
journal of contemporary educational research
Language(s) - English
Resource type - Journals
eISSN - 2208-8474
pISSN - 2208-8466
DOI - 10.26689/jcer.v6i1.2909
Subject(s) - informatization , disconnection , architecture , computer science , the internet , unification , warning system , quality (philosophy) , identification (biology) , specialty , information architecture , information technology , multimedia , world wide web , engineering management , information system , engineering , telecommunications , management information systems , art , philosophy , law , visual arts , biology , operating system , epistemology , political science , programming language , botany , electrical engineering , pathology , medicine
With the advancement of education informatization, learning through the internet has become a very important approach. Existing teaching websites generally have problems such as low accuracy of information grouping and obvious disconnection between the navigation system and content. Based on information architecture, a teaching website for early warning technical support specialty is designed in this paper from four aspects: content organization, identification, navigation, and interaction. The unification of information processing and information requirements is achieved using this method, which improves the quality of professional course construction for early warning technology support specialty.