Learning and Academic Analytics

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. 

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