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Rescooped by
Dennis Swender
from Educational Technology News
onto Distance Learning, mLearning, Digital Education, Technology January 8, 12:58 AM
|
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When student work looked like McKinsey memos, an NYU business school professor used AI oral exams to test real learning.
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Today's students are future innovators in a landscape where powerful new tools of creation--AI--are sitting right in front of them. Via EDTECH@UTRGV 
EDTECH@UTRGV's curator insight,
January 28, 11:09 AM
"AI is about to pull the labor market in two directions at once: inward, as firms need fewer employees; and outward, as more individuals gain the tools to act like firms."
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States laid the groundwork for cellphone bans in the classroom — and now new federal efforts look to take that one step further. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 28, 11:11 AM
"Edtech proponents defend the value of instructional tools as no-phones policies gain momentum in schools — and in Congress."
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AI's value depends on the educators and leaders who wield it with intention and a commitment to equity, fairness, responsibility, and balance. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 29, 11:13 AM
"AI amplifies educators rather than replacing them: In K–12 settings, AI is most effective when used to reduce administrative burden, support better decision-making, and free educators to focus more time on students and relationships." 
Valeria Davila's curator insight,
January 30, 2:03 PM
This article presents a clear and optimistic argument that AI, when used intentionally, can enhance teaching, engagement, and equity in K–12 education rather than undermine it. I appreciate the authors’ consistent emphasis on AI as a tool that amplifies educators by reducing administrative burdens and strengthening human relationships, especially through improved communication with multilingual families. The concrete examples—such as translation tools increasing parent engagement and AI-supported data analysis helping identify at-risk students—make the case feel practical rather than theoretical. I also strongly agree with the focus on AI literacy for both teachers and students, particularly the idea of teaching critical skills like identifying bias and remixing AI output with human judgment from an early age. Overall, the article makes a compelling case that AI’s true value in K–12 lies not in automation for its own sake, but in advancing equity, supporting educators, and refocusing schools on the human-centered work that matters most.
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The digital learning landscape is entering a new phase defined by rapid advances in artificial intelligence, rising expectations for the student experience, and increasing pressure to demonstrate quality and accountability in online education. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 30, 2:29 PM
"Artificial intelligence is expected to renew institutional focus on instructional design, as AI-generated content increases the need for structured, pedagogy-informed course design aligned with accessibility, inclusion, and quality standards."
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We speak with Jenay Robert, senior researcher at Educause, about goals for generative AI in higher education, action steps for integrating AI effectively, and upcoming AI research. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 30, 2:33 PM
Rhea Kelly and Jenay Robert discuss the 2025 Horizon Action Plan, highlight the shift from AI policy and outline concrete actions higher education institutions can take to build generative AI literacy over the next decade.
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Our book, Teaching and Learning in the Age of Generative AI, was featured by Forbes in an article by Dan Fitzpatrick titled “8 AI Books Published in 2025 That Every Educator Needs on Their Shelf.” The article highlights the book’s value in bringing together diverse scholarly and practical perspectives on generative AI in education. In particular, Professor Jason Gulya of Berkeley College (a contributor to the book) noted the strength of the volume’s range of voices and approaches, emphasizing its balance of theoretical and applied perspectives, as well as its thoughtful treatment of both the promise and the potential perils of AI technologies in teaching and learning. Via EDTECH@UTRGV, Alessandro Cerboni
EDTECH@UTRGV's curator insight,
December 28, 2025 11:58 AM
It’s encouraging to see conversations around generative AI in teaching and learning reaching a broader audience, and the book being included in that discussion. Preview the book here: https://bit.ly/4jVce93 
Alessandro Cerboni's curator insight,
December 29, 2025 12:17 PM
L'articolo sottolinea il valore del libro nel riunire diverse prospettive accademiche e pratiche sull'intelligenza artificiale generativa nell'istruzione. In particolare, il professore Jason Gulya del Berkeley College (uno dei collaboratori del libro) ha sottolineato la forza della varietà di voci e approcci del volume, sottolineandone l'equilibrio tra prospettive teoriche e applicate, nonché la sua attenta analisi sia delle promesse che dei potenziali pericoli delle tecnologie di intelligenza artificiale nell'insegnamento e nell'apprendimento.
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From
www
"As American schools continue to turn to artificial intelligence, a new study by eLearning Industry highlights which states are showing the strongest interest in AI education. The study analyzed data on the website searches with 28 AI education-related keywords across all 50 states. Virginia leads the nation in online interest in AI education with 60.87 searches per 100,000 residents. Maryland is second at 58.96, and New Jersey is at 54.67." Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 5, 1:34 PM
“The No. 1 skill enterprises are looking for is AI oversight and governance,”
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From
futurism
The tech industry is making sure kids will be hooked on AI for generations -- in a huge experiment students never consented to. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 5, 1:50 PM
"AI companies are rapidly making inroads into education before the dust can settle on any of these urgent questions."
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"High completion rates in AI courses don't always equal high adoption. If your organization is "training" but not "transforming," you might be falling into one of these four common traps. Here is how to use a diagnostic-first operating system to fix the disconnect." Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 6, 11:58 AM
"The problem isn't your Instructional Design. The problem is that we are treating AI adoption as a content challenge when it is actually a workflow challenge."
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For educators, using artificial intelligence in the classroom only makes sense if they have a real say in its development. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 7, 12:16 PM
"We need to be part of the conversation, learn how to use these tools, and influence their next iteration."
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A South African researcher said schools are failing to teach critical thinking and urged teachers to help students question AI tools like ChatGPT. Via Dr. Tom D'Amico (@TDOttawa) , Dr. Russ Conrath 
Daphnée Melin's curator insight,
October 12, 2025 6:08 AM
Un article très intéressant qui peut vous en apprendre plus que vous ne le pensez sur l’IA ! Allez jeter un coup d’œil �
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Fast, free note-taking AI assistant. Turn images, voice, and text into clean, structured notes in seconds. Simple, fast, and free. Via Ana Cristina Pratas, Dennis Swender, Dr. Russ Conrath
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Using ChatGPT at work can boost productivity—or cost you your job. Learn how to avoid the mistakes employees make when using AI. Via Dr. Russ Conrath |
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As higher education reaches a point of transformation, AI's insights offer a different look at what path learning could take. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 28, 11:10 AM
"Will colleges and universities remain sites of human development, or become credentialing platforms optimized for efficiency alone?"
Valeria Davila's curator insight,
January 30, 1:53 PM
This article offers a sobering and insightful analysis of higher education at a moment of deep transformation, emphasizing how long-standing assumptions about institutional stability, autonomy, and purpose are rapidly eroding. I found the discussion of accountability and political pressure particularly compelling, as it shows how universities are increasingly judged by economic outcomes rather than educational mission, forcing leaders into defensive and often austerity-driven decisions. The author’s framing of AI as a shift from experimentation to infrastructural dependence resonated with me, especially the concern that governance, ethics, and academic judgment are lagging behind technological adoption. What stands out most is the warning that the true risk is not AI itself, but the quiet reshaping of authority, labor, and learning without intentional oversight. Overall, the article persuasively argues that higher education’s future depends on whether institutions choose thoughtful, values-driven transformation over reactive efficiency, a choice that will ultimately redefine trust, faculty roles, and the social contract of the academy.
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As school districts embrace artificial intelligence to improve IT systems, a well-considered strategy can ensure a seamless transition. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 29, 11:11 AM
"Artificial intelligence and machine learning have the potential to transform K–12 operations, increase efficiency and improve responsiveness. But AI and ML adoption in education is not without its challenges. Here are three obstacles that K–12 districts need to overcome."
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EDTECH@UTRGV's curator insight,
January 30, 2:09 PM
"[T]here’s no single AI tool that “does instructional design best.” There is, however, an optimal AI stack for Instructional Design work."
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Artificial intelligence preparedness, classroom modernization, cybersecurity and esports will be front and center at TCEA 2026, running from Jan. 30-Feb. 4. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 30, 2:26 PM
The UTRGV Educational Technology faculty be at the conference. Drop by Booth 1966 to learn more about this award winning program!
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Lisa Nielsen: The Innovative Educator: Laptops Did Not Take Away Their Brains. The School Model Did.
"Neuroscientist Jared Cooney Horvath's new book and article argue that when we gave students laptops, student performance declined, so the tech broke their brains. That story skips the real culprits: high-stakes standardized testing that reshaped public schooling, and inequitable access to effective models of learning, not to devices." Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 30, 3:13 PM
"Students in well-resourced schools are more likely to experience project-based, passion-driven models where technology is used for real-world work. Students in under-resourced and segregated schools are more likely to sit in “drill and kill” environments, whether the drill is on paper or on a screen."
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Discover the top skills 2026 for eLearners, from AI and data skills to creativity and problem-solving to future-proof your career. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 2, 12:30 PM
"Explore the most in-demand skills for 2026, including AI, data analytics, digital skills, and essential soft skills like creativity and emotional intelligence. Learn practical tips to start building these skills today, stay ahead in the evolving job market, and make your New Year's resolution all about future-proofing your career."
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More than two dozen states and Puerto Rico have issued AI education guidance, and unsurprisingly, the recommendations fall short. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 5, 1:51 PM
"So far, state guidance has been heavy on frameworks and glossaries and light on clear, actionable policies and resources. No state guidance has emerged as a clear model to emulate."
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When student work looked like McKinsey memos, an NYU business school professor used AI oral exams to test real learning. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 5, 1:58 PM
"The assignments looked brilliant. The understanding didn't. That's when an NYU business school professor decided to fight AI-assisted coursework with AI-powered oral exams."
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AI creates a paradox: making learning easier while making it more essential. The solution is to adopt the "Centaur" model. Via EDTECH@UTRGV
EDTECH@UTRGV's curator insight,
January 6, 12:01 PM
"After AI defeated grandmaster Garry Kasparov, a new form of the game emerged where human-AI teams, or "Centaurs," consistently outperformed both AI alone and humans alone. This paradigm—Human + AI > AI alone—is the key to unlocking future professional growth."
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The AI landscape will keep shifting—new tools, faster models, endless possibilities. But clarity, not speed, will determine who succeeds. Via EDTECH@UTRGV 
Nik Peachey's curator insight,
January 8, 5:30 AM
"The leaders who thrive are the ones who adapt with purpose, aligning every experiment with strategy and using AI to elevate, not erode, human skills." 
Richard Platt's curator insight,
January 9, 9:37 AM
"The leaders who thrive are the ones who adapt with purpose, aligning every experiment with strategy and using AI to elevate, not erode, human skills."
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Here are 4 essential considerations for effective AI policies that prepare students for an AI-driven economy. Via Dr. Russ Conrath
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As school gets back in session, many still lack sensible policies on the usage of AI in the classroom. Via Dr. Russ Conrath |
"The assignments looked brilliant. The understanding didn't. That's when an NYU business school professor decided to fight AI-assisted coursework with AI-powered oral exams."