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An Oracle blog about the Education and Research

  • January 31, 2019

Artificial Intelligence in Higher Education

Keith Rajecki
Senior Director, Education and Research Industry Solutions

Artificial Intelligence (AI) brings a lot of promise to transforming higher education, but with many challenges for broad adoption. Researchers at some of the largest social media platforms, eCommerce and technology companies in the world have halted their AI programs as their machine learning algorithms have been found to exacerbate biases. So while replacing human activities with computers may still be years away, AI still provides us with opportunities to augment tasks and services.

Oracle makes it easy for higher education to realize value from artificial intelligence and machine learning (ML). Through AI-powered cloud applications, departments can drive better business outcomes through intelligent features such as smart candidate lists in our HCM suite. Oracle’s ready-to-build AI platform also gives data scientists and application developers a range of cloud services to easily build, train, deploy, and manage AI-powered solutions. We have also put machine learning to work in our technology with ready-to-work Oracle Autonomous Database platforms, machine learning is working behind the scenes to automate security patching and backups and optimize database query performance.

So colleges and universities can leverage AI to alleviate many of the technology administrative activities as well as to take over mundane tasks. For example, institutions can improve student experience leveraging chatbots to support application, admission, and registration activities. Leveraging AI to improve admissions by matching students to programs can help institutions reduce the cost of student recruiting. Public universities spend on average $536 per student recruiting.

Artificial Intelligence also has the potential to deliver a personalized learning path, personalizing the student experience to improve student outcomes with virtual academic advisors and tutors. Identifying patterns of data that predict which students could become at-risk, enabling timely and personalized interventions will lead to improved student success a priority among higher-education institutions is to improve retention and graduation rates for all students.

So while Artificial Intelligence is not going to solve all major problems facing higher education, the application of the technology is capable of augmenting services to improve operational efficiencies and reduce costs.

 

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