Opinion
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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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To avoid creating vulnerabilities, school IT leaders often find themselves saying "no" to new tools and systems. Instead, they should foster a culture of innovation by convening partners to figure out how to make it work.
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The Trump administration's efforts to slash funding from top research institutions across the U.S. is a gift to China and an injustice not only to top researchers and students, but to future generations of citizens.
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To find their way in a changing job market in which employers are replacing interns with AI, college grads must adapt faster than the technology trying to displace them, while jumping into more advanced work.
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Acceptable uses of AI should not promote anti-intellectualism, which Richard Hofstadter described as "resentment of the life of the mind ... and a disposition to constantly minimize the value of that life."
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On the one hand, public figures are generating more personal records than ever. On the other hand, their transitory nature and lack of real intimacy are leading some to predict a coming “digital dark age.”
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For educators, creating lifelong learners is part of the job. A glance back at novel ideas and once-new uses of technology, even minor ones, reveals how innovative thinking and problem solving can echo through time.
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Defunding the California Education Learning Lab would eliminate research and crucial support programs to help both K-12 schools and higher education in California adapt to artificial intelligence.
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A federal task force, student competitions, industry collaboration and fast-tracking grant programs will help students go from being tech consumers to tech creators in the AI-driven economy.
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The present situation — computers grading papers written by computers, students and professors idly observing, and parents paying tens of thousands of dollars a year for the privilege — is a crisis in the making.
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A writer for Inc.com argues that there is no level of digital or even physical precaution in test-taking that isn’t going to eventually be susceptible to some form of mass-adopted digital cheating.
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The federal Department of Government Efficiency — as well as state and local counterparts — is a ubiquitous subject among gov tech vendors. For the market, expert Jeff Cook argues that will be a good thing.
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A movement that started at Harvard University aims to help students wean themselves off smartphones incrementally, recommending that they delete their social media accounts one by one.
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The economic uncertainty surrounding tariff policies and the potential of a global trade war could have ripple effects throughout higher education, including strained budgets, less tech investment and lost research.
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Increasingly skeptical of higher education, students today need digital experiences and services, flexibility, personalization and data security. Some of this is a software problem that modern tools can improve.
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As key players in local workforce training, community colleges are well placed to lead the adoption of artificial intelligence tools and ensure students are prepared for the business world of tomorrow.
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Research and development for educational technology should involve a continuous loop of teachers providing feedback, developers implementing changes in real time and researchers studying the impact.
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An English professor from Kennesaw State University argues that intentional use of artificial intelligence, as opposed to passively or reflexively accepting its outputs, can enhance the writing process.
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The U.S. needs a national plan to compete with China for dominance of the next generation of world-changing technology, and the education sector needs different degrees of oversight and objectives than commercial AI.
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