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How Is External Data Used in Education?

Machine learning in education focuses on student behavior to provide the ideal, personalized learning experience. ML programs record student engagement in real time by measuring their speed of recall, learning styles, interests, time spent studying, and more.

Edtech, which fuses the words “education” and “technology,” as a field encompasses ML software programs but also includes hardware and educational theory.

How are Machine Learning Models Used in Education?

By tracking every moment a student engages with apps or spends on distance learning programs, machine learning programs identify individual students and adjust daily lesson plans to their needs. They also flag at-risk students to teachers and administrators.

These programs also help students with disabilities and students whose first language isn’t English by offering text-to-speech programs or using NLP to translate material.

Finally, educators and administrators use machine learning in their work. For example, educators use it to identify plagiarism while administrators track enrollment and budgets.

Which Companies Lead the Way in Building Advanced Analytics and Machine Learning Products in This Field?

Jellynote uses machine learning to provide a gamified musical education. Anyone, anywhere, can learn to play the piano, the guitar, the ukelele, and more. Further, with the machine learning program constantly adjusting to their rate of progress, users won’t lose interest.
Already one of the biggest names in K-12 and higher education, Pearson uses machine learning to support students, teachers, and associated professionals. They also provide a large range of assessments and tests through their website.
Microsoft leverages its current services to improve education for teachers, students, and administrators. They also offer security services, computers, and personalized student analyses.

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