Opinion
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Given so many conversations in the public sphere about how devices and screen time are affecting developing minds (and adult ones), educators might consider how technology has changed how we live and communicate.
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A recent conversation with the senior associate director of AI and teaching and learning at Northeastern University yielded advice about engaging students, upgrading lessons, trial and error, and helpful feedback.
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Cook, an expert in the government technology investment market, outlines gov tech’s record-breaking year in 2025, including deals of all sizes, and gives his outlook for what will happen in the coming year.
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Migration to the cloud was all the rage from around 2010 through the pandemic, but some IT leaders are having second thoughts due to high costs, compliance issues, and the need for better data security and local control.
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Amid so many justified policies and debates concerning smartphones in classrooms, it’s important for education leaders to distinguish between distracting phones and valuable ed tech that prepares kids for the future.
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With all California's work toward improving the procurement process, columnist Daniel Kim, who formerly led California's Department of General Services, asks: What can be done to improve the solicitations themselves?
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At a recent webinar hosted by Fast Company and Texas A&M University, private-sector executives said colleges and universities must partner with tech companies and embrace AI to remain relevant to students.
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Flock Safety cameras have become an increasingly utilized tool for the bigger police departments across the state, from urban areas like Aurora, Colorado Springs and Denver to suburbs like Douglas County.
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To support students facing mental health stressors in the digital age, school leaders must explain features like “data mining” and “engagement algorithms,” and give kids chances to develop social skills offline.
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In the education space, quantum computing could usher in an entirely new generation of customized AI tutoring, though it could also dehumanize the learning process or exacerbate inequalities.
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With future workforce skills increasingly uncertain and Silicon Valley's own entrepreneurs sending their kids to schools with no screens, perhaps Taoism has something to teach about cultivating a life of the mind today.
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Modernizing education with artificial intelligence is less about buying this or that new tool than about new processes, new applications for data analytics, and reorganizing instructional priorities around new norms.
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Technology is driving at least two trends in young people that colleges should have an answer for: self-education and loneliness. Meanwhile, employers increasingly value social and collaborative skills that AI cannot provide.
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From AI ethics and governance on campus to cybersecurity training, quantum computing innovations and 6G connectivity, emerging technologies have given IT leaders a lot to contend with in the near future.
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Drones can enhance emergency response, but they’re only one part of the public safety toolkit, ideally making the jobs of the officers and first responders safer and more efficient.
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Beyond major tech purchases, novel pilot projects and new job titles, what school IT leaders really need to do with artificial intelligence is lead organizational change with input, transparency and strategic intention.
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Inundated by AI-generated work masquerading as human thought, a high school teacher in St. Louis writes that American education is threatened by both intellectual dishonesty and inequitable resources.
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For all the hype around innovation and best practices, it can be easy to overlook the fact that our failures are often more instructive than our successes, and might have lessons to teach about today's challenges.
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More than 30 states now require districts to restrict student phone use in some way, and the Chicago Tribune Editorial Board thinks Illinois should join them.
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The cameras can track fugitives, monitor suspicious activity and more, but they must be used responsibly and ethically in order to keep us all safer.
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Building foundational pedagogical techniques for the teaching of AI, with no baseline, no historical data and no trials, will be complicated. Ohio’s regulatory framework is a good place for other states to start.
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