Education Technology Services

The brass tacks of learning analytics in education

Every time students log into their learning portal or interact with their school or university, they leave a digital footprint. Learning analytics uses this data to improve the quality of learning and teaching. Learning analytics in education refers to the collation, analysis, and measurement of data about the progression of students. Learning analytics can take the learning and teaching processes further using data extracted from learner activities and digital footprints.

Learning analytics to reimagine higher education

Academicians around the world have started using data to improve the quality of teaching. Schools and universities have adopted learning analytics as the go-to diagnostic tool to identify issues at individual and institutional levels. Learning analytics is contributing significantly to education in several areas.

Qualitative improvement in teaching

Learning analytics provides teaching staff with the ammunition to develop educational content. It also delivers insights into the quality of teaching and assessment, which allows for continuous improvement. Analytics enables teachers to get real-time feedback on student performances, even while the class is in session. This input allows them to adapt their teaching process to cater to the specific needs of individual students. The continuous enhancement of teaching and allied processes even benefits future students.

Learning analytics profoundly impacts education. It provides student support through proper feedback as well as bolsters equity by eliminating inaccessibility and the distance between educators and learners. The outcome is the development of a data-driven decision-making culture at institutional levels. Though learning analytics is just a minor part of institutional strategy, even a small-scale adoption increases awareness, leading to fewer student dropouts.

Encouraging students to continue education

Learning analytics in higher education helps schools and universities better understand data about students and their learning capabilities, thereby tackling dropout rates. High dropout rates adversely impact institutional resources.
By understanding data collected about students in advance, such as past performance, educational progress, etc., institutions can identify at-risk students who might not progress to the next academic year. These students require personal interventions, such as counselling or additional academic support.

Personalised or adaptive learning

Analytics helps closely monitor at-risk students' engagement and progress. It could even gauge an especially marginalised sub-group of students. The development of personalised learning processes directs students to specific learning materials based on their previous digital interactions with the related content. When beginning higher education, students often have little or no idea about their performance or progress compared with their classmates.

Perhaps the most effective application of learning analytics in higher education is providing learners with information about their current level in the context of their personal career or professional goals and what they require to meet these goals. Continuous constructive feedback has the potential to transform their ability to learn and understand what interests them and what they are better at. Understanding where they stand gives the students a competitive edge, motivating them to keep pace with their peers.

How well does the learning analytics model function?

Even though learning analytics in higher education is still at its nascent stage, the creation of predictive models is one of the main projects undertaken by universities. The predictive learning algorithm combines data based on present and past performance, prior academic history, student characteristics, staff feedback, and the financial background of the learners. Many universities worldwide provide students with analytics-based learning structures that help them select future courses or modules based on their career choices, aptitudes, and past grades.

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How can Infosys BPM help?

Read more about how Infosys BPM Edutech Services can assist you with implementing learning analytics in education.

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