A Data-Driven Application to Personalised Learning
Opportunity
While there are countless applications in the market to help students learn, hardly any offer personalised learning. Unlike the one-size-fits-all teaching approach, personalised learning is based on the belief that students have unique interests and learning styles, which should then form the basis for how lessons are designed. By catering the learning process to the needs of each student, both motivation and performance can be improved.
Many contemporary solutions, however, use technology to merely improve students’ test-taking rather than taking these unique needs into consideration. A truly personalised system demands much more. Personalisation is built on holistic information about each student’s traits and capabilities, which teachers and parents—let alone applications—often have limited access to. Given the widespread shift to online learning due to COVID-19, there is a growing need for a system that can holistically analyse each student and present appropriate teaching and intervention choices.
Technology
This invention is an artificial intelligence-powered application that supports personalised learning through the innovative use of student data. Its ‘insights system’ collects student information from each learning stakeholder: the student, parent/s, teacher, and institution. Algorithms then extract insights from each student’s file, which are then used to create their personalised learning paths.
Teachers can use the system to design their own lesson plan for these paths or choose among several pre-built templates. In either case, the system adapts each plan further based on a student’s stored and real-time progress. Using a tool called the Personalised Lesson Planning System, teachers can choose the appropriate content, assessment, and methods for each stage on the learning path. Previously gathered insights are then used to tailor the use and timing of these resources to fit each student.
Simplifying personalised lesson creation in this manner gives teachers the freedom to engage with and assist students individually. Moreover, the application accepts manual feedback from each learning stakeholder to improve the learning experience. Each learning path is monitored in real-time and can be modified, even by the student, at any point. The process is transparent to all parties and is supported at each step with information collected by the system.
The intelligent system captures the student’s unique data point from various sources including the student, parents and teachers. Using the data, the system creates a personalised learning path that is monitored in real-time and can be further improved through feedback.
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