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This article breaks down what L&D data access could mean for how training gets designed, measured, and improved. 
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Scoop.it!
Here's what industry data, and months of our own usage, actually suggest is the main obstacle for a language learner, and how AI can help.
EDTECH@UTRGV's insight:
"[F]ear of speaking is among the most frequently mentioned challenges for language learners. Not grammar or vocabulary, but fear."
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From
www
Can AI chatbots support K-12 emergent bilingual learners without widening gaps?
EDTECH@UTRGV's insight:
"Experts see great potential for AI to elevate bilingual education — if it’s done right."
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Learn how California's AI law shapes AI use in education and offers practical strategies for faculty to teach responsibly with AI.
EDTECH@UTRGV's insight:
"AB 2370 assumes that faculty will use professional judgment when incorporating AI. One practical way to exercise that judgment is to evaluate AI tools the way you evaluate textbooks or other course materials."
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We often treat “cognitive engagement” as the holy grail of online learning.
EDTECH@UTRGV's insight:
"To truly understand online learning, we have to stop trusting the “illusion” of engagement and start measuring the actual mechanics of the mind."
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Why course completion measures attendance, not tool adoption, and what to track instead: usage that holds and behavior on the job.
EDTECH@UTRGV's insight:
"Completion Measures Attendance, Not Change"
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Conversations With Kevin Hogan: Education policy attorney Reg Leichty explains why the FCC's inquiry into sunsetting E-Rate is a serious threat, why screen time is a red herring in this brouhaha, and what district leaders can do about it
EDTECH@UTRGV's insight:
"For nearly 30 years, E-Rate has been what one might call the most boring of utility programs — a broadband subsidy that quietly connects America's schools and libraries. Now the FCC is asking whether it should exist at all."
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Artificial intelligence is offering us an opportunity to give every student in the lecture hall the chance to think ideas through and truly understand. Let’s take it
EDTECH@UTRGV's insight:
"[T]oday, with AI as my teaching assistant, I actually think I am a better professor than I have ever been."
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From
evolllution
Higher education fears AI will encourage cognitive offloading, but thoughtful integration can enhance engagement and critical thinking.
EDTECH@UTRGV's insight:
"The core value proposition of higher education therefore cannot remain centered primarily on information delivery or controlled access to knowledge."
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From
www
What I learned navigating a policy vacuum as a tech coordinator and the collaborative process to build an AI-ready culture.
EDTECH@UTRGV's insight:
"AI has exposed an uncomfortable truth: common sense is often just unspoken assumptions masquerading as policy. Without a common understanding of AI use, implementation practices, potential risks and benefits, schools risk creating inconsistent and inequitable experiences for both students and educators. This raises the question: who decides what is reasonable or what makes a decision good?"
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From
uxdesign
"AI made building free. So why is the whole conversation still about how to build?"
EDTECH@UTRGV's insight:
"We have made building products nearly free, and we have spent all our energy getting even better at it, while the one thing that actually decides whether a product succeeds, why it deserves to exist and for whom, gets almost none of the conversation."
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A new study reveals how automated reminders destroy long-term prospective memory learning, and what it means for our classrooms.
EDTECH@UTRGV's insight:
"A new experimental study titled “Offloading Reduces Prospective Memory Learning,” demonstrates that while digital reminders maximize immediate performance, they carry a hidden cost: they completely derail long-term independent skill acquisition."
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Learn how intentional course design and branding can improve accessibility, student engagement, and the online learning experience in Canvas.
EDTECH@UTRGV's insight:
"Every course communicates something visually. Course branding is not decoration. It is a way to bring personality, professionalism, and purpose into the space where learning happens and to make sure that space is built for everyone who walks into it."
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Screen time debates should center on if individual technologies, programs, and digital learning experiences support student growth.
EDTECH@UTRGV's insight:
"With the growing movement to limit technology in schools, parents and educators are right to question how much time students spend on screens. But, as schools reconsider the role of technology in the classroom, an important distinction is often getting lost in the public conversation: Not all screen time is equal."
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AI use in higher education is reshaping the future of universities with intelligent, personalized, and data-driven learning environments.
EDTECH@UTRGV's insight:
"The future university will not simply be a digital version of the traditional campus. It will be an intelligent, data-driven, highly personalized learning environment capable of adapting to the needs of every learner."
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Facing technical challenges helps students build the ability to actively engage with a problem and build IT skills instead of turning it AI.
EDTECH@UTRGV's insight:
"Deliberately working through technical challenges helps students build and retain the ability to actively engage with a problem"
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As we navigate the educational landscape of 2026, we find ourselves deep in what might be called the "era of the offload," surrounded by personalized systems that promise to simplify our cognitive lives.
EDTECH@UTRGV's insight:
"[A]cademic success in an AI-enhanced world depends on ensuring students remain the agents of their own progress, equipped with the resilience to navigate a lifetime of independent growth."
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The binary debate between tech-utopianism and neo-Luddism is broken. To save educational technology, we need to talk about "Viability."
EDTECH@UTRGV's insight:
"When a digital tool fails to improve student outcomes, critics almost always blame the technology itself, or the abstract concept of "screen time." But a new study recently published in Smart Learning Environments...argues that we are diagnosing the problem entirely wrong. The failure isn't necessarily a failure of innovation or design. It is a failure of viability."
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Crafting an AI learning platform also requires rethinking content delivery, assessment, and learner support as a single integrated system.
EDTECH@UTRGV's insight:
"Building an AI-native learning platform also requires rethinking content delivery, assessment, and learner support as a single integrated system. Most platforms still treat these as separate products. Content is served. Quizzes are appended. Support is reactive."
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From
www
"A study released by UC Berkeley’s Center for Studies in Higher Education found a correlation between the release of ChatGPT in 2022 and an increased share of A grades for classes with take-home assignments at a selective public university in Texas. However, Berkeleytime data collected by The Daily Californian found no equivalent trends at UC Berkeley."
EDTECH@UTRGV's insight:
"While the study found that grades have been increasing in classes with lots of take-home assignments, grades across UC Berkeley have remained relatively stable."
What does this finding suggest?
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Not everything you have heard about AI in learning and development holds up. Here is a grounded look at what works, what does not, and what to expect.
EDTECH@UTRGV's insight:
"For L&D leaders, the opportunity is not to chase AI for its own sake; it is to use it deliberately, with the same rigor applied to any significant investment in workforce capability."
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From
www
"Microsoft just released the third edition of its AI in Education Report, surveying more than 3,000 students, educators and leaders across six countries. Ira Apfel sat down with Pat Yongpradit, general manager of global education and workforce policy at Microsoft, which sells AI tools including Copilot to schools, at ISTELive 26 in Orlando, to talk through what the data reveals about daily use, trust, training gaps, and where the policy backlash against AI in schools may be headed next."
EDTECH@UTRGV's insight:
"Yongpradit walks through why daily AI use in schools still lags far behind overall adoption, even though nine in 10 educators, students and leaders report having tried the tools at least once."
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From
wonkhe
For Carmen Miles, much of the higher education sector is still acting as if distance learning was an optional add-on For Carmen Miles, much of the higher education sector is still acting as if distance learning was an optional add-on
EDTECH@UTRGV's insight:
"In some programmes and some faculties, the design is genuinely good: thoughtful, well-resourced, built around the realities of students who are working, commuting, or managing caring responsibilities. But that quality tends to be concentrated in pockets, dependent on particular teams or particular champions, and largely invisible to the quality assurance processes that sit around it."
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From
uxdesign
The first big shift in how we use software in years is underway. Are we ready to design for it?
EDTECH@UTRGV's insight:
"We’re moving from task-driven interfaces, where you operate every step, to intent-driven interfaces, where the work starts after you’ve spoken or typed your intent."
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"We’ve all been experimenting with Google’s NotebookLM lately. Drop a dense, 30-page institutional report or a dry chapter into the platform, hit “generate,” and the result is surprising.
Suddenly, two hyper-realistic AI hosts are talking back and forth, turning cold prose into an approachable conversational audio track. It just feels highly efficient, and it looks like an easy way to help busy students get through material."
EDTECH@UTRGV's insight:
"[S]tudents with access to the AI podcasts achieved significantly higher scores on their essay-style examinations than the previous semester’s cohort...higher individual click volume directly correlated with stronger exam performance."
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"This article breaks down why that data goes unused, how conversational AI analytics changes the access model, and what it means for how training gets designed, measured, and improved."