Enhance The Quality of Your Teaching With Learning Analytics

enhance teaching quality with learning analytics

Learning analytics will help shape your student’s progress

Teaching and learning technology is progressing at a rapid rate in 2018. In today’s educational ecosystem, if you are not adept at using technology in the classroom, you will be left behind. This is evident from the increased role of personalised education to tools that bring quality education to far-flung reaches of our world.

But what about analytics?

Are we using data analytics and the learnings they give us well?

Is this information really trickling down to whom it matters the most? Let’s find out.

What is Learning Analytics?

Learning analytics are the collection, analyses, and reporting of data around learning, learning outcomes and any contexts in which learning takes place. This can mean simple metrics that test absorption of class material by students to deep studies that test various learning techniques and tools being implemented in the classroom. It is a combination of many fields of study – from statistics to data analytics, business intelligence, operational intelligence, data mining, artificial intelligence, etc. The end goal is to see what we can learn about learning in order to improve it.

What are the benefits of Learning Analytics?

In short, learning analytics help understand the process of learning better. We are not relying on views that might be influenced by unconscious bias or coloured by personal perspectives but on hard data. This means the decisions we take for future teaching and learning are not based on perceptions but on statistics. We are likely to thus see better outcomes as a result.

Recap: School ERP system to manage the library automation

What ways does it help us?

Teachers are better able to predict student progress, by identifying students who are at risk for failing or dropping out. They are also able to identify paths to success to guide students towards, all based on evidence.

Teachers are also able to personalise learning to students. A simple example of this would be to see the efficacy of visual learning versus tactile learnings for two different students – based on outcomes of a tested technique, you are able to apply more efficient learning techniques on a student level.

Administrators and management are able to put metrics to the learning taking place in their school. Instead of just vaguely classifying how well students in their school are learning, stakeholders can instead rely on a dashboard that provides a visual representation of this data to better support their educational claims to the external ecosystem.

How would this impact your students?

Relying on learning analytics helps teachers, administrators, and management make informed choices in terms of the learning and teaching techniques they are implementing at their educational institutions. Using data gleaned from learning analytics helps stakeholders ensure that they are making evidence-based decisions that impact students.

In turn, these decisions help shape student progress. Based on reliable data, they experience micro or macro shifts in teaching that are more impactful in helping them achieve learning outcomes. This means that they are experiencing data-driven teaching – proven methodologies that are tested and retested on a continual basis for their efficacy and impact.

Students can thus reliably expect their school to help them learn about the world, meet learning goals, and be prepared for their future educational and professional careers. When they run into roadblocks, they can rely on hard data for a solution to help them overcome their difficulties. When applying for future positions, they can also rely on this data to provide evidence for their achievements and areas where they could improve, resulting in a continual self-improvement cycle.

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