Powering the Journey Toward Educational Intelligence
In our initial post introducing our perspective on Educational Intelligence or “EI,” we set out to address the nature and state of analytics in the education space. We defined EI and discussed its evolution as it relates to BI / Business Analytics, including some differentiating considerations when applying analytics to education.
In education, the student experience and supporting functions drive analytics needs. The student experience lifecycle is comprised of three overarching areas: teaching and learning, student success, and recruitment and enrollment. In this post, we’ll take a closer look at how EI impacts key stakeholders across the student lifecycle, including the student, instructor, curriculum designer, administrator, success coach, and researcher.read more
For the past few years, “big data” and analytics have become hot topics in the educational space, along with strategies and best practices with which to leverage these new capabilities. In this new series of blog posts, we at Intellify Learning hope to educate readers on what is possible in this exciting time as “Educational Intelligence” continues to evolve.
Through our project work with both customer and data standards communities, we see both excitement and trepidation surrounding the possibilities that data acquisition and analytics provide to educational institutions. But before we go forward, we should understand what led us to this point.
Since the late 1980’s businesses around the world have been using data-driven analytics to make decisions in a field that was soon termed “Business Intelligence.” BI, and more recently labeled Business Analytics, fuels the mission of today’s companies in a variety of ways, some of which are now visible by the end-user or customer. Whenever Netflix suggests a show for you to watch or Amazon suggests a product in which you may have interest, their more advanced BI analytics is drawing those conclusions through three forms of analytics:read more