The AI landscape will keep shifting—new tools, faster models, endless possibilities. But clarity, not speed, will determine who succeeds.
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EDTECH@UTRGV
onto Educational Technology News January 6, 12:10 PM
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The AI landscape will keep shifting—new tools, faster models, endless possibilities. But clarity, not speed, will determine who succeeds.
"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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Watch this video to learn more about the fully online, accelerated, project-based Master of Education in Educational Technology at the University of Texas Rio Grande Valley. For more information, visit: https://www.utrgv.edu/edtech/index.htm
EDTECH@UTRGV's insight:
This 30-hour accelerated program designed to prepare persons in K-12, higher education, corporate, and military settings to develop the skills and knowledge necessary for the classrooms and boardrooms of tomorrow. Students in this program have the opportunity to earn one or more graduate certificates in E-Learning, Technology Leadership, and Online Instructional Design.
Katlego Mofokeng's curator insight,
May 19, 2025 3:46 PM
Using technology in education proves affective in helping students/ learners accelerate their learning progress.
Elena Galeote's comment,
December 29, 2025 6:51 AM
Desde mi punto de vista, el Master of Education in Education Technology responde de manera acertada a las necesidades actuales del ámbito educativo, donde la integración pedagógica de la tecnología es cada vez más importante. El enfoque basado en proyectos potencia un aprendizaje significativo, ya que permite a los maestros diseñar y aplicar recursos digitales directamente en sus contextos escolares. Además, el formato online y acelerado facilita la actualización profesional continua, lo que considero clave para mejorar la práctica docente y promover una educación más creativa y eficaz.
Time-to-competency is an operationally aligned metric by which to guage the success of an eLearning course.
EDTECH@UTRGV's insight:
"Although many metrics provide some superficial answers, they have not addressed the most significant business-related question: 'How quickly can learners carry out their tasks?' This is where time-to-competency or TTC adds significant value."
From
apnews
A new Gallup poll finds that American workers have adopted artificial intelligence into their work lives at a remarkable pace over the past few years.
EDTECH@UTRGV's insight:
"While frequent AI use is on the rise with many employees, AI adoption remains higher among those working in technology-related fields."
"The practical roadmap for introducing AI across grade levels, without sacrificing thinking, student ownership, or foundational skills."When we focus on skills before tools, AI becomes a support for learning instead of a shortcut around it."
EDTECH@UTRGV's insight:
"This free implementation guide gives you a clear, developmentally-grounded framework that prioritizes student thinking over technology adoption. You'll discover exactly which skills students need at each grade level before AI tools ever enter the picture."
The small, repetitive tasks that are crucial to research can drain your time and energy. Instead, let’s hand over the grunt work to GenAI
EDTECH@UTRGV's insight:
"Research involves countless small, repetitive tasks: formatting references, cleaning datasets, organising files, processing materials. These jobs require little cognitive effort, but demand enormous amounts of time."
Discover how to integrate AI into the daily workflow to reduce friction, strengthen judgment, and achieve measurable performance through practice and analytics.
EDTECH@UTRGV's insight:
"What does it really take for AI-powered learning to work inside the flow of work—and stay sustainable over time?"
From
workshift
The capabilities that make us human—communication, teamwork, and critical thinking—aren't "soft." Here's why we need to change the way we talk about those skills.
EDTECH@UTRGV's insight:
"AI is automating once-essential tasks, industries are evolving faster than education can keep pace, and the definition of career readiness has changed from 'ready to go on day one' to 'ready to adapt on day one.'”
As school districts embrace artificial intelligence to improve IT systems, a well-considered strategy can ensure a seamless transition.
EDTECH@UTRGV's insight:
"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."
The age of AI and Robots is here, you may be worried that robots will take your jobs. There are some jobs that have a low risk of being taken over by AI.
EDTECH@UTRGV's insight:
"The following 65 occupations were all determined to have a job automation risk probability of 0.0% based on the abilities, knowledge, skills, and activities that are required to perform the job well."
States laid the groundwork for cellphone bans in the classroom — and now new federal efforts look to take that one step further.
EDTECH@UTRGV's insight:
"Edtech proponents defend the value of instructional tools as no-phones policies gain momentum in schools — and in Congress."
Today's students are future innovators in a landscape where powerful new tools of creation--AI--are sitting right in front of them.
EDTECH@UTRGV's insight:
"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."
Hiding AI use can erode trust in the workplace and beyond, writes Wharton’s Cornelia Walther.
EDTECH@UTRGV's insight:
"Since AI use is difficult to verify technically, the solution lies in building workplace cultures where disclosure is normalized, expected, and seen as professional sophistication rather than weakness."
From
uxdesign
"How chatbot-first thinking makes products harder for users"
EDTECH@UTRGV's insight:
"This article focuses on one of the widespread misconceptions that could send the future of UX along a very wrong trajectory. I call it chatbot-first thinking: the assumption that conversational interfaces can — or should — replace most existing UI patterns completely." |
Learn about AI-enhanced learning design and how it balances efficiency with creativity for a better educational experience.
EDTECH@UTRGV's insight:
"AI can support eLearning, but only humans provide the creativity, judgment, and accountability needed for quality learning. Effective Instructional Design depends on humans guiding and refining AI, not the other way around."
A strong and solid AI strategy will enable education leaders to answer what improved, for whom, and under what conditions.
EDTECH@UTRGV's insight:
"A common mistake is shipping capabilities in search of purpose. Chat interfaces, content generation, personalization, and automated feedback can all be useful. Utility is not efficacy."
Which AI models to use for which tasks, how & why
EDTECH@UTRGV's insight:
"[T]here’s no single AI tool that “does instructional design best.” There is, however, an optimal AI stack for Instructional Design work."
Teaching via a screen makes it harder to read student understanding and sustain attention. These practical strategies show how educators can keep online students invested
EDTECH@UTRGV's insight:
"[W]ith a multitude of digital distractions vying for students’ attention, online teaching requires intentional pedagogical adjustments."
From
www
"Microlearning holds real promise, especially as conversations shift toward using short-form learning more intentionally than doomscrolling. Its flexibility and proximity to real work allow it to fit naturally into busy days. To unlock that potential, though, we need to explore beyond length and delivery and focus on something more foundational: design awareness."
EDTECH@UTRGV's insight:
"Microlearning doesn’t ask us to do less as designers; it asks us to be more intentional."
From
workshift
The country needs a new social compact that emphasizes how workers can win.
EDTECH@UTRGV's insight:
"Although people will be shifted out of some work activities, many of their skills will remain essential. Workers will also be central in guiding and collaborating with AI, a change that is already redefining many job roles across the economy."
AI's value depends on the educators and leaders who wield it with intention and a commitment to equity, fairness, responsibility, and balance.
EDTECH@UTRGV's insight:
"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.
Understanding the ethics and legal implications around the use of AI in schools is becoming increasingly critical for school leaders.
EDTECH@UTRGV's insight:
"To navigate these challenges, the U.S. Department of Education and legal experts advocate for a “human in the loop" approach."
Valeria Davila's curator insight,
January 30, 2:04 PM
This article offers a timely and necessary perspective on the ethical and legal complexities of AI use in schools, making it especially valuable for practitioners and school leaders. I found the discussion of algorithmic bias particularly compelling, as it clearly shows how overreliance on AI detection tools can unintentionally harm multilingual learners and reinforce inequities rather than protect academic integrity. The legal examples around deepfakes and student liability underscore that AI use is not just a technical issue, but one with serious real-world consequences that schools must proactively address through policy and education. I also appreciate the strong emphasis on a “human in the loop” approach, which reinforces the idea that professional judgment, not automation, should guide decisions affecting students.
Generative AI use by students took schools by storm, and that deluge only began a few years ago.
EDTECH@UTRGV's insight:
Sal Khan: "[W]e’re at the cusp of using AI for probably the biggest positive transformation that education has ever seen, and the way we’re going to do that is by giving every student on the planet an artificially intelligent but amazing personal tutor."
As higher education reaches a point of transformation, AI's insights offer a different look at what path learning could take.
EDTECH@UTRGV's insight:
"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.
Daphne Koller explains the hard truths of AI adoption in this week's Big Think Class.
EDTECH@UTRGV's insight:
"[M]aking a tool available is not the same as intentionally leveraging it to transform your organization."
"Focusing on polish and production speed over pedagogy creates a fundamental problem across the industry: Most e-learning authoring tools emphasize digital interactions and visual templates, while providing minimal guidance on pedagogical principles"
EDTECH@UTRGV's insight:
"E-learning authoring tools have an opportunity to differentiate themselves from AI-powered website builders. Rapid e-learning authoring tools could explore how to use AI integrations in a way that makes learning principles accessible to users who may not have expert insight into them."
From
uxdesign
"We’re consuming more content than ever, and remembering less of it. Here’s what the research says about our shrinking focus — and what’s fuelling the problem."
EDTECH@UTRGV's insight:
"Welcome to the era of infinite content and finite attention, where our brains are working overtime just to keep up with the deluge." |
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"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."
"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."