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These include ensuring its ethical and responsible use , concerns about cheating, threats to studentdataprivacy, and defending against new cyber risks and new forms of cyberbullying. Even fewer (28%) are using data analytics to assess school climate. Yet they also worry about the challenges AI presents.
Teachers and other stakeholders should also have considerable input into ethical considerations like studentdataprivacy, potential bias, and misinformation associated with AI tools. Ensure StudentDataPrivacy and Digital Equity Expand the dialogue regarding AI applications to beyond what happens in the classroom.
This latest iteration of the NETP delves into the transformative potential of educational technology, highlighting systemic solutions to bridge the digitaldivides in use, design, and access, particularly in the context of educational equity. Use the P roject Unicorn School System Data Survey tool to assess your data ecosystem.
It works well, that is, if you disregard studentdataprivacy and security. The implication, according to one NYT article : “the digital gap between rich and poor kids is not what we expected.” The real digitaldivide, this article contends, is not that affluent children have access to better and faster technologies. (Um,
“In the Leeds offering, for example, each course certificate will cost £59 and there are five taught courses; the sixth assessment course, which leads to 10 credits, is priced at £250 – making a total cost of £545 – which will also cover access to online library content,” The Guardian reports. .”
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