How Learning Analytics Uplifts Education

By Education Technology Insights | Thursday, September 24, 2020

Learning analytics is taking education to the next level.

FREMONT, CA: Today, education has got an important place in society, and it is further rising to a higher level. With the entry of new technologies in the education sector, learning analytics is seen as a provider of better information and deep insight into the factors within the learning process to learners, educators, administrators, and funders, that contribute to learner success. Also, learning analytics serves to guide decision making about educational reformation and learner-level arbitration for at-risk students. According to the US Dept. of education, learning analytics is sure to promise better education.

Top 10 EdTech Startups - 2019Learning analytics can be seen as a tool that should be integrated into the learning environment and framework with respect to special teaching goals. And it also works as a more general and bigger scheme for education intelligence. On a smaller scale, learning analytics works as an awareness tool. While, in mid-scale, it improves courses, detects, and helps students with difficulties. Moreover, on a large scale, learning analytics purposes to upgrade institutions or even whole educational systems.

Perspective to learning analytics and educational data mining

Since the existence of education, some kinds of learning analytics and educational data mining have been known and utilized. Few of them are grades and test scores, tracking tools in the learning management system, learning e-portfolios. Modern learning analytics probably initially drew a lot of ideas from industry and its diverse attempts to pact with information like business intelligence, enterprise resource planning, web analytics, and more.

The common idea is to take out key performance indicators from both structured and unstructured data and to improve decision making. With regard to this, a significant influence was a political will to make effective and measurable quality standards in education, directing to a culture of quantitative assessment. And educational data mining can be depicted as a research area that focuses more on data retrieval and analysis. Today, EDM can be looked at as a helper discipline for a more sophisticated learning analytics perspective.

The society for learning analytics research marks the requirement for integrated toolsets through the development of specific tools like dashboard, reporting, and visualization tools, along with adaptive content engine and automated support.

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