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Privacy v. Progress: Exploring Student Data Privacy Solutions Presented by Modern Technology

The classic tension between advancements in technology and social interests is no different in the realm of student data. Potential insights offered by qualified researchers given greater access to student data could have positive implications for improving educational outcomes. However, new technology such as Artificial Intelligence carries with it privacy risks that must be weighed when dealing with student populations. 

Proposing a solution wherein researchers replace the traditional model of roaming vast amounts of data with developing “the process by which researchers can query a learning platform’s data without having direct access" offers an added layer of protection for student data custodians. This also includes “helping develop the review process for how research projects are selected, training researchers on privacy and publishing lessons learned about operating with privacy at the forefront.” 

All this to say, new problems bring potential solutions that could support the important work of integrating technology into educational experiences. 

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“By putting together all of these puzzle pieces, the idea is that we can — at a very large scale — get to see a more complete picture of these students,” Baraniuk says. “The big goal of ours is to try to remove as much friction as possible so that more useful research can happen, and then more research-backed pedagogies and teaching techniques can actually get applied. But while removing that friction, how do we keep everything really safeguarded?”

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education technology, privacy, student data privacy, technology, artificial intelligence, ai