The latest news related to the meaningful and effective implementation of educational technology and e-learning in K-12, higher education, corporate and government sectors.
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.
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.
As AI becomes a fixture in schools, educators and students need reliable guidance on how to use it well--especially as AI use evolves.
EDTECH@UTRGV's insight:
"AI use among both students and educators has grown sharply–by more than 15 percentage points in just the past one to two years. Yet, training and policy have not kept pace. Schools and districts are still developing professional development, student guidance, and clear usage policies to manage this shift."
"Function is the floor, not the ceiling. It’s time to raise the bar and prove that the most viable products are the ones that feel human."
EDTECH@UTRGV's insight:
"AI is now omnipresent in our workflows, but it's come at a cost: a sea of sameness. Lately, products have begun to look and feel homogeneous & indistinguishable, leading to diluted brands and increasingly sterile interactions."
"The world of work is changing so quickly that traditional education and job preparation can’t keep up. With 39% of skills expected to shift or become outdated by 2030, educators face a critical challenge: how to prepare Gen Alpha for jobs that don’t even exist yet."
EDTECH@UTRGV's insight:
"This infographic outlines how schools can prepare for the future of work by exploring the agile skills necessary for success."
"In addition to the vast churn of AI offerings covering a wide range of topics, more AI-backed teaching tools and functions came online in 2025. Google, OpenAI, and Anthropic each launched a study or learningmode for their services. Google in particular leaned into education, released an AI Co-scientist, an application aimed at helping people do scientific research, while launching Learn About. Google Scholar now presents an AI interface. Other AI-powered commercial offerings have appeared, like Socrait and Gradescope."
EDTECH@UTRGV's insight:
"How have academics acted on, or reacted to AI? Overall, it seems that colleges and universities are still scrambling to react to this technological revolution at a strategic level. Three years after ChatGPT 3.0 exploded only one quarter of campuses have institutional policies about AI"
Most people would agree there is more to learning than performance on tests, but we need to formalise that definition to make sure it drives policy and practice, says Bernard Andrews
EDTECH@UTRGV's insight:
"[A] stable, broad and ordinary understanding of “learning” must anchor educational policy. If we want a fair and accountable education system that works for all, we need to standardise our core “weights” and “measures” in a way that speaks to this ambition."
Clear definitions and research on education technology, including history, theories, equity issues, and practical insights for educators and researchers.
EDTECH@UTRGV's insight:
"The future of educational technology is likely to hinge less on invention than on governance—how tools are validated, how data are managed, and how digital systems reflect ethical and pedagogical priorities."
This article includes insights into the preferred learning means of employees, blending both human guidance and AI-driven efficiency.
EDTECH@UTRGV's insight:
"Bots are fast; they give you immediate access to information. Humans give insight into the information and help you understand the meaning of what you learned. When they work together, they create the ultimate training program in corporate training."
As generative AI tools mature, AI predictions contend that K-12 education will leverage AI in new ways to transform teaching and learning.
EDTECH@UTRGV's insight:
"As generative AI technologies evolve, educators are moving away from fears about AI-enabled cheating and are embracing the idea that AI can open new doors for teaching and learning."
To prevent students from relying on artificial intelligence to write and do homework for them, many professors are returning to pre-technology assessments and having students finish essays in class.
EDTECH@UTRGV's insight:
"At the three largest educational institutions in Syracuse — Syracuse University, Le Moyne College and Onondaga Community College — many professors are returning to pre-technology assessments while students use AI to study in futuristic ways."
While employers believe higher ed is worth the investment, they also identified a new slate of programming they desire from graduates.
EDTECH@UTRGV's insight:
Employers identified three key characteristics they desire from graduates that may help them earn a job in a tight market: AI, Experiential learning, and Microcredentials.
"President James Garfield described the ideal college as Mark Hopkins on one end of a log and a student on the other – two people, a conversation, shared understanding. The log is still there. But now there’s a third presence: AI that can generate perfect looking answers that may be entirely false. And neither the student nor the professor can reliably tell the difference."
EDTECH@UTRGV's insight:
"[S]tudents are fluent in generating content with AI, but untrained in verifying it. They’re accelerating into an AI landscape faster than institutions can prepare them."
Discover the top skills 2026 for eLearners, from AI and data skills to creativity and problem-solving to future-proof your career.
EDTECH@UTRGV's insight:
"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."
Durable skills are critical for success in college and beyond--and laying a strong foundation for these skills in K-12 learning is essential.
EDTECH@UTRGV's insight:
"As AI increasingly automates technical tasks across industries, students’ long-term career success will rely less on technical skills alone and more on durable skills or professional skills, often referred to as soft skills. These include empathy, resilience, collaboration, and ethical reasoning–skills that machines can’t replicate."
"New research highlights a vital policy window: deploying Artificial Intelligence (AI) not as a policing tool but as a powerful mechanism to support student learning and academic persistence.
Evidence from independent researcher Dr Rebecca Mace, drawing on data generated by a mix of high, middle and low-tariff UK universities, suggests a compelling, positive correlation between the use of ethically embedded ‘AI for Learning’ tools and student retention, academic skill development and confidence."
EDTECH@UTRGV's insight:
"The findings challenge the predominant narrative that focuses solely on AI detection and academic misconduct, advocating instead for a clear and supportive policy framework to harness AI’s educational benefits."
"AI faces the same barriers that every enterprise technology faces: integration costs, organizational resistance, regulatory friction, security concerns, training requirements, and the stubborn complexity of real-world workflows. Impressive demos don’t translate smoothly into deployed systems. The ROI is real but incremental. The hype cycle does what hype cycles do: Expectations crash before realistic adoption begins."
EDTECH@UTRGV's insight:
"We are experiencing the start of a civilization-level discontinuity. The nature of work changes fundamentally. The question is not which jobs AI will take but which jobs it won’t."
"The skills students and educators need right now aren’t AI-related in nature and cannot easily be taught through certification or so-called upskilling. That’s because they’re human. The chorus calling for education to remake itself in this age of automation misses a fundamental truth about what AI represents to learning, namely redefining tasks isn’t the answer. It doesn’t matter how fun, exciting, or engaging you make a curriculum, or how challenging you make an assessment; machine intelligence can now automate it."
EDTECH@UTRGV's insight:
"When we hear the term agency, we associate it with free will, but what does free will mean when algorithms and complex systems increasingly dictate our lives?"
Starting next fall semester, Purdue University will require all of its incoming students to meet a new AI competency standard.
EDTECH@UTRGV's insight:
"The new “AI working competency,” includes five categories: Learning with AI, Learning about AI, Research AI, Using AI and Partnering in AI. After being approved by a university trustee board last week, the new requirement is hoped to ensure that all Purdue students understand a technology that is increasingly influential."
"The most useful research on emerging technology is never just technical. In the case of AI in education, it has to be interpreted through the learning experience, professional judgement, and the realities of how learning actually works."
EDTECH@UTRGV's insight:
"These ten papers do not offer easy answers. What they offer instead is perspective. Together, they show how AI is reshaping classroom culture, assessment, collaboration, and even students’ sense of self."
"Traditional grading systems face significant criticism due to their inherent inequities and subjectivity [1–5]. Grades often benefit students with greater access to resources and support, while disadvantaging those from marginalized backgrounds, perpetuating educational inequality."
EDTECH@UTRGV's insight:
"Ungrading shifts the focus from traditional letter or number grades to more holistic and student-centered methods of assessment. This approach aims to emphasize learning, growth, and mastery over the pressure and stress associated with traditional grading structures"
El artículo “Descalificación: cambiar el enfoque de las calificaciones al aprendizaje” propone una reflexión acertada al cuestionar una evaluación centrada únicamente en la nota y destacar la importancia de valorar el proceso de aprendizaje. Considero acertado que se plantee la evaluación como una herramienta para mejorar y no solo para medir, ya que esto favorece la motivación y el aprendizaje significativo. Este enfoque se puede fortalecer con el uso de las TIC en el aula, ya que las herramientas digitales permiten una evaluación más formativa, con retroalimentación continua, seguimiento del progreso y mayor participación del alumnado, haciendo que aprender tenga más sentido que simplemente obtener una calificación.
Doing the mental work of connecting the dots across multiple web queries appears to help people understand the material better compared to an AI summary.
EDTECH@UTRGV's insight:
"Since the release of ChatGPT in late 2022, millions of people have started using large language models to access knowledge. And it’s easy to understand their appeal: Ask a question, get a polished synthesis and move on – it feels like effortless learning."
"Over the past year, the shift from AI as a tool to AI as institutional infrastructure has become unmistakable. Students have already integrated AI into daily academic workflows, vendors are pushing enterprise deployments, federal and accreditation expectations are rising, and labor-market volatility is forcing colleges to rethink how learning connects to opportunity."
EDTECH@UTRGV's insight:
"The question is no longer whether to adopt AI. It’s what becomes the new operating model for teaching, assessment, student support, and workforce pathways in an AI-native world."
"Forget the AI panic. Forget the AI plagiarism wars. The smartest voices in education have broken free of the breathless hype-cycle and entered into something much more useful. That is practical wisdom.
After two years of defensive policy making, hasty implementations and heated debates about whether it’s right for students to touch AI, 2025 saw the arrival of nuanced and practical works by thought leaders around the world."
EDTECH@UTRGV's insight:
"What unites all of these eight books is the acknowledgment that the question is no longer whether AI will transform education. It already has. The true question, the one that every educator now has to answer, is whether educational providers will use it to support the status quo or whether they will embrace reimagining what learning can mean."
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"Similar to AI convergence in the medical profession, the marriage between AI professors and human professors,... will likely be a bumpy one."