go to link |
In my previous blog posts I have discussed various technologies that are widely used in Educational institutions. Generally speaking, all these various technological tools help educators to improve the quality of education. In this blog post I will focus on big data and analytics which can help educational institutions to make data-driven decisions, predict the future of the institution and improve its performance.
According to Long and Siemens (2011), higher education is a field that contains a large amount of data about its learners and staff. Analyzing this data will help to get a clear picture of what is happening in that institution; it will help to identify the gaps or even predict and prevent the potential risks. In order to be able to analyze data effectively one needs to decide what he/she needs to know, what the specific type of data can tell you and also try to identify the patterns.
go to link |
On the other hand, academic analytics is about using business intelligence in education at institutional , regional or international levels (Long & Siemens, 2011).
According to Goldstain (2005), present technologies help to analyse data effectively. As a result of a survey, the institutions that use academic analytics report that it helps to make more effective decisions and to get a competitive advantage over other institutions.
No comments:
Post a Comment