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Artificial Intelligence Boosts Authentic Learning in Higher Education

Educational practices have always been steadily evolving, punctuated by brief eras of sharp reform based on current trends and emerging research. Historically, education reflects the social norms and needs of its time. As culture changes, so must we change the way we teach. Computers have revolutionized the classroom, no doubt. In the 1980s it became…

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Artificial Intelligence Boosts Authentic Learning in Higher Education

Educational practices have always been steadily evolving, punctuated by brief eras of sharp reform based on current trends and emerging research. Historically, education reflects the social norms and needs of its time. As culture changes, so must we change the way we teach.

Computers have revolutionized the classroom, no doubt. In the 1980s it became common for each college or university to house a computer lab. Less than forty years later, most colleges require that students bring a personal laptop to class each day.

Not only are personal computing devices commonplace, but teaching technology continues to advance as well. Not only is distance learning growing at a lightning pace, but every brick-and-mortar college classroom also has a corresponding digital component. And on-site, from white boards to glassboards, to streaming and interactive projection devices, the days of banging erasers are reserved for the history books.

With today’s trend toward personalized education, emphasized by the social needs of Millennial learners, the goal of educational technology has become an individualized experience for each student. That’s where AI, or Artificial Intelligence comes in. AI technology can facilitate personal learning without adding demands to teachers. AI can, among other things, accommodate online tutoring, help teachers find gaps in student achievement, and shape academic content, all leading to higher retention rates, even with previously troublesome populations such as diverse learners.

According to Dr. Joseph Auon, author of Higher Education in the Age of Artificial Intelligence, and President of Northeastern University, “the integration of classroom experience with world experience” is the best way for students to achieve “experiential learning.” While the concept of lifelong learning is certainly not new, its operational definition and methods for attaining it are changing every day, and education must adapt in order to produce individuals who can continue to evolve our planet at the pace to which we have become accustomed.

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NYC schools require every AI tool to pass a bias and equity review before deployment

NYC schools require every AI tool to pass a bias and equity review before deployment

New York City schools have mandated that every AI tool undergo a bias and equity review before being deployed within their systems. This move comes amid broader concerns and debates about the role of AI in education, particularly concerning its impact on cognitive development. The education sector is actively assessing the potential benefits and risks associated with AI technologies in classrooms.

  • 01NYC schools require AI tools to pass a bias and equity review.
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NYC schools require every AI tool to pass a bias and equity review before deployment

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Twenty-nine New York City council members are demanding a two-year halt to AI use in the nation's largest school system, citing student data privacy gaps. Simultaneously, California and other states are tightening AI bias-audit requirements for employers, while educators debate a deeper question: whether AI adopted without guardrails erodes the original human thinking it is meant to support.

  • 01Twenty-nine NYC council members sent a letter on June 9, 2026, calling for a two-year AI moratorium in city schools, citing inadequate student data privacy protections in the Department of Education's drafted guidance.
  • 02California's Civil Rights Council AI regulations, effective Oct. 1, 2025, require employers using automated decision systems to retain related data for four years and face heightened litigation risk if they skip bias audits.
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From Measuring Memory to Measuring Thinking: How Simulation-Based Learning Could Reshape Higher Education

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The article discusses the impact of artificial intelligence on higher education, emphasizing a shift from content mastery to skill-based learning. As AI continues to reshape job markets, higher education must adapt to prove its relevance by focusing on critical thinking and problem-solving skills. Simulation-based learning is proposed as a method to prepare students for the evolving workforce demands.

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