Open AccessA teaching assistant system for big data analysis
Author(s) -
Pengfei Liu,
Peidan Chen,
Yunling Yuan,
Weifeng Zhang,
Xiaoling He
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1678/1/012090
Subject(s) - computer science , process (computing) , big data , cloud computing , order (exchange) , function (biology) , tracking (education) , data collection , mathematics education , data processing , multimedia , engineering management , engineering , pedagogy , database , data mining , psychology , sociology , finance , evolutionary biology , biology , economics , operating system , social science
With the rapid development of big data analysis, cloud computing and mobile computing, the demand of teaching auxiliary processing and students’ online learning in colleges and universities depends more and more on information system. According to the latest view of pedagogy, teaching evaluation is gradually turning to the "accompanying" education which is data-based and tracking the whole teaching process. In order to improve the current situation that the function of single teaching assistant system is limited, the information island caused by the expansion of multiple teaching auxiliary systems, and the situation that process data is not paid attention to, this research develops a complete educational administration and teaching auxiliary system, so as to promote the collection, processing and analysis of more, more detailed and higher frequency teaching real-time data.