Today`s post is closely connected with learning and academic analytics. As
we know educational system is changing
and developing rapidly and we as future teachers should be able to reach all
those changes. According to Long and Siemens (2011), data and analysis are factors in education
which we cannot touch or see. Effective
data analysis can be very useful and
effective. There two types of analytics which are used by educational institutions:
- Learning analytics is more specific than academic analytics: According to the 1st International Conference Learning Analytics is the measurement, collection, analysis and reporting of data about learners and their context. Learning analytics mainly centers on the learning process.
- Academic analytics, in contrast, is the application of business intelligence in education and emphasizes analytics at institutional, regional, and international levels. Academic analytics reflects the role of data analysis at an institutional level. The academic analytics is the story of people, technology and decision making( Goldstein &Katz, 2005).
Nowadays many institutions created such kind of analytics in order not
only to enhance the processing of students but as well as to improve the quality
of information. Many responders were
agree that academic analytics help them to improve results in the student area
a lot. In conclusion I would add that unlike learning analytics academic analytics is more used in high education, as in learning analytics there are still some unclear points.
For image http://www.google.com/imgres?num=10&hl=en&tbo=d&biw=1366&bih=643&tbm=isch&tbnid=KCLM5u8-SMFCOM:&imgrefurl=http://www.learninganalytics.net/%3Fp%3D143&docid=j7Xp9xWEx3S1sM&imgurl=http://www.learninganalytics.net/wp-content/uploads/2011/11/big_data_the_moving_parts_large.png&w=1079&h=617&ei=Ksa3UPvkD6vnmAWUvYHIAQ&zoom=1&iact=hc&vpx=864&vpy=372&dur=89&hovh=170&hovw=297&tx=126&ty=87&sig=109605187291664981752&sqi=2&page=1&tbnh=138&tbnw=241&start=0&ndsp=19&ved=1t:429,r:11,s:0,i:117