How Will AI-Based Personalized Learning Improve Education?

Education Technology Insights | Monday, August 12, 2019

The emergence of AI-based personalized learning has significantly reduced the workload of educators, freeing up time for them to concentrate on the learners.

FREMONT, CA – The incorporation of artificial intelligence (AI) in the education sector has given rise to personalized learning, offering better opportunities and capabilities for both learners and educators. The availability of student data has enabled AI systems to draw actionable insights and assist educators in drawing personalized learning plans.

Several edtech solution providers have come up with robust data analytics solutions designed to collect, organize, and analyze data from a variety of sources, including learning apps, online resources, publishers, and other learning management systems. The student data is gathered in a centralized platform and analyzed to produce reports, predictive data analytics, and visualizations. The insights are incorporated into the workflow of educators, enabling them to perceive the needs of the students.

The conventional approach to assessing the learning ability of students was through tests and assignments, which often captures only a small segment of student education. The education career of a student generates an enormous amount of data. The edtech tools have enabled educators to harness the student data and use it to determine the engagement levels and areas of individual students. It has also empowered them to identify the educational deficits hindering the potential of learners.

AI-based edtech systems offer educators a better understanding of their students, positioning them to efficiently utilize their skills to address the individual needs of the learners. The useful insights gained from the student data has made it easier for educators to predict the needs of learners and assist them in their learning process.

Armed with the capabilities of the learning management systems, educators can craft personalized learning plans for the learners. It works to the strength of learners when compared to the conventional approach of using a single method of teaching for an entire classroom of students, which often works only for a portion of learners.

AI and machine learning (ML) have extraordinary capabilities when it comes to identifying patterns which might be impossible to detect manually. Rather than replacing educators, AI systems are designed to collaborate with them. AI-based edtech platforms take the brunt of the educators' workload, including grading exams and filling reports, making time for them to give individual attention to the students. By taking on the time consuming and repetitive tasks, AI will bring a revolutionary and liberating transformation to the classroom.

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