Can AI help solve big data problems in education?

A row of multiracial students working on laptops while listening to a lecture in the modern classroom.  Bright young people studying at the university.

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The insights provided by data can help create solutions to business problems. But managing big data can overwhelm rather than help.

Kavita Prasad, a dark-haired woman in business attire, smiles professionally in her head.

“There is a lot of data in everything we do, and now the amount of data that is being generated is a lot. But how do you get meaningful insights out of this data?” Kavitha Prasad, Intel Vice President and General Manager for Data Center, Artificial Intelligence, Cloud Implementation and Strategy, told ZDNet. s

“It is not humanly possible now to sit down with the data and know not just what the data is saying, but the interrelationship between different sets of data being collected, and the business insights hidden behind that data.”

This issue does not only affect tech companies. The education sector also faces challenges in managing, protecting, and extracting value from big data.

How can schools deploy AI to improve student outcomes?

Artificial intelligence It can make it possible to solve big data problems.

For example, Intel has partnered with Aible to use artificial intelligence to help Nova Southeastern University. Aible can sense, explore, and improve data through artificial intelligence.

Prasad said the university wants a data-driven view of two key issues: improving undergraduate student retention and improving student well-being. Intel and Aible, in collaboration with Dell, have deployed AI in school datasets. This project identified potential routes Student attrition rate decreased by 17% within 15 days.

Don Rudowsky, Vice President of Institutional Effectiveness at Nova Southeastern, wrote in an Aible case study highlighting the project:

During a one-hour meeting, we went from a raw data set to exploring insights into data that was automatically tagged by Aible, to creating and even publishing a predictive model. Collaboration with academic and financial assistance advisors helped us improve the models and make them more useful – but we moved from raw data to the published model in such a short time.

Achieving a work result in 15 days is “huge”, Prasad added.

The companies and university achieved these results by running about 500 AI models across six projects. Each project took about 25 minutes to process. Intel said that by using Xeon Scalable processors combined with Aible technology, developers can run applications without managing servers.

Intel and Aible began working together through Intel’s Disruptor initiative. The program gives start-ups and established companies access to Intel solutions and technologies.

Prasad said the partnership gives “that power of Intel to start-up companies to make sure their technologies can be leveraged broadly across industries”.

Aible also worked with clients at K-12 who wanted insights into student retention.

“Aible has helped us proactively identify students who have been leaving for reasons we can address to retain them,” said Heuel Benbow, senior vice president of global data and analytics at GEMS Education.

“When it comes to K-12, reducing disruption itself is interesting, but Aible helped us distinguish where and how we can act to reduce disruption and directly map the economic impact of taking those recommended actions.”

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As artificial intelligence expands, so do the questions around it Using technology ethically.

“AI is as good as data, and AI makes predictions,” Prasad said. “It’s still predictive.”

It is up to humans to perform a risk-benefit analysis of inaccurate predictions.

“We recognize that there are a lot of implications associated with these AI technologies, and we are focused on making sure that they are used for social good,” she said.

Prasad added that Intel follows a “continuous and rigorous review process” for projects that use artificial intelligence.

Prasad also predicts that AI will soon impact every aspect of human life.

“The reach of AI is only expanding, and it is very exciting to see where companies are trying to use technologies like AI to help drive better business outcomes – whether it’s in the context of education to retain students or learning about programs that make sense from a student’s perspective.

“We are just at the tip of the iceberg,” she continued. “It’s only just getting started, but eventually, you’ll expand a lot into all areas of human life.”