Data Integration

Is Personalized Education the Future of Learning?

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Higher education institutions now strive to offer a unique experience for their students. Big data and artificial intelligence (AI) are potential solutions to these efforts. AI’s impact on higher education is undeniable and evident from how faculties teach and students learn. But how effective are AI and big data in educational institutions? What are the implications of implementing them? In this article at Harvard Business Review, Lasse Rouhiainen explains how AI and data help universities offer personalized education to their students.

Why Personalized Education?

“Today’s colleges and universities face a wide range of challenges, including disengaged students, high dropout rates, and the ineffectiveness of a traditional ‘one-size-fits-all’ approach to education,” says Rouhiainen. Customized learning helps students achieve their academic goals and offers added confidence to complete their education. In addition, personalized learning allows teachers to understand their students more accurately.

Ways to Implement Personalized Education

The primary component of customized learning is getting to know a student’s educational background, interests, and academic goals. Many believe that the application of AI and customized experience sounds like an ideal solution to some of the most common educational issues. However, experts believe that technology still has a long way to go before fully meeting its potential. So, how can universities introduce tailored learning opportunities?

Blending Data Science and Education

The availability of data alone does not ensure successful data-driven decision-making. Studies indicate the need for an appropriate data-analytic thinking framework in educational institutions. Using AI and big data for mapping personalized learning enables the transparent growth of individuals. Experts also suggest educational tech leaders leverage the assistance provided by AI algorithms to support the creation of optimal learning environments.

Benefits of Personalized Education

  • AI systems can adapt to each individual’s learning needs and target instruction based on their strengths and weaknesses.
  • “Intelligent Tutoring Systems” can gauge a student’s learning style and pre-existing knowledge to deliver tailored support and instruction.
  • Technology is so advanced that machines can compile data about how students performed and even assess abstract assignments such as essays.

To learn more about the benefits of AI and big data in offering personalized education, click on https://hbr.org/2019/10/how-ai-and-data-could-personalize-higher-education.

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