Your AI Writing Partner: The 30-Day Book Framework — from aidisruptor.ai by Alex McFarland and Kamil Banc
How to Turn Your “Someday” Manuscript into a “Shipped” Project Using AI-Powered Prompts

With that out of the way, I prefer Claude.ai for writing. For larger projects like a book, create a Claude Project to keep all context in one place.

  • Copy [the following] prompts into a document
  • Use them in sequence as you write
  • Adjust the word counts and specifics as needed
  • Keep your responses for reference
  • Use the same prompt template for similar sections to maintain consistency

Each prompt builds on the previous one, creating a systematic approach to helping you write your book.


Using NotebookLM to Boost College Reading Comprehension — from michellekassorla.substack.com by Michelle Kassorla and Eugenia Novokshanova
This semester, we are using NotebookLM to help our students comprehend and engage with scholarly texts

We were looking hard for a new tool when Google released NotebookLM. Not only does Google allow unfettered use of this amazing tool, it is also a much better tool for the work we require in our courses. So, this semester, we have scrapped our “old” tools and added NotebookLM as the primary tool for our English Composition II courses (and we hope, fervently, that Google won’t decide to severely limit its free tier before this semester ends!)

If you know next-to-nothing about NotebookLM, that’s OK. What follows is the specific lesson we present to our students. We hope this will help you understand all you need to know about NotebookLM, and how to successfully integrate the tool into your own teaching this semester.


Leadership & Generative AI: Hard-Earned Lessons That Matter — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Actionable Advice for Higher Education Leaders in 2025

AFTER two years of working closely with leadership in multiple institutions, and delivering countless workshops, I’ve seen one thing repeatedly: the biggest challenge isn’t the technology itself, but how we lead through it. Here is some of my best advice to help you navigate generative AI with clarity and confidence:

  1. Break your own AI policies before you implement them.
  2. Fund your failures.
  3. Resist the pilot program. …
  4. Host Anti-Tech Tech Talks
  5. …+ several more tips

While generative AI in higher education obviously involves new technology, it’s much more about adopting a curious and human-centric approach in your institution and communities. It’s about empowering learners in new, human-oriented and innovative ways. It is, in a nutshell, about people adapting to new ways of doing things.



Maria Anderson responded to Clay’s posting with this idea:

Here’s an idea: […] the teacher can use the [most advanced] AI tool to generate a complete solution to “the problem” — whatever that is — and demonstrate how to do that in class. Give all the students access to the document with the results.

And then grade the students on a comprehensive followup activity / presentation of executing that solution (no notes, no more than 10 words on a slide). So the students all have access to the same deep AI result, but have to show they comprehend and can iterate on that result.



Grammarly just made it easier to prove the sources of your text in Google Docs — from zdnet.com by Jack Wallen
If you want to be diligent about proving your sources within Google Documents, Grammarly has a new feature you’ll want to use.

In this age of distrust, misinformation, and skepticism, you may wonder how to demonstrate your sources within a Google Document. Did you type it yourself, copy and paste it from a browser-based source, copy and paste it from an unknown source, or did it come from generative AI?

You may not think this is an important clarification, but if writing is a critical part of your livelihood or life, you will definitely want to demonstrate your sources.

That’s where the new Grammarly feature comes in.

The new feature is called Authorship, and according to Grammarly, “Grammarly Authorship is a set of features that helps users demonstrate their sources of text in a Google doc. When you activate Authorship within Google Docs, it proactively tracks the writing process as you write.”


AI Agents Are Coming to Higher Education — from govtech.com
AI agents are customizable tools with more decision-making power than chatbots. They have the potential to automate more tasks, and some schools have implemented them for administrative and educational purposes.

Custom GPTs are on the rise in education. Google’s version, Gemini Gems, includes a premade version called Learning Coach, and Microsoft announced last week a new agent addition to Copilot featuring use cases at educational institutions.


Generative Artificial Intelligence and Education: A Brief Ethical Reflection on Autonomy — from er.educause.edu by Vicki Strunk and James Willis
Given the widespread impacts of generative AI, looking at this technology through the lens of autonomy can help equip students for the workplaces of the present and of the future, while ensuring academic integrity for both students and instructors.

The principle of autonomy stresses that we should be free agents who can govern ourselves and who are able to make our own choices. This principle applies to AI in higher education because it raises serious questions about how, when, and whether AI should be used in varying contexts. Although we have only begun asking questions related to autonomy and many more remain to be asked, we hope that this serves as a starting place to consider the uses of AI in higher education.

 

A Community College’s Guide to Building Strong Partnerships — from eddesignlab.org

This November 2024 guidebook offers higher education practitioners actionable strategies for building and sustaining partnerships that both meet regional needs and support students, families, and communities. This work was based on the design and delivery of dual enrollment pathways as part of the Lab’s Designers in Residence 2.0: Accelerating Pathways project.

The practices and case studies shared here are informed by higher education leaders across six community colleges as part of the Lab’s Designers in Residence program.

We have organized the guidebook based on core elements of a strong partnerships strategy, alongside how to establish a strong foundation and sustain and maintain the partnerships you’ve built. Through our research, we’ve identified four key elements of strong partnerships:

+ Communication and collaboration
+ Shared vision
+ Adaptive and responsive
+ Action-oriented

You will find guiding questions, tools, and case studies within each of the four elements.
.

 

Also from The Education Design Lab:

 

The Rise of the Heretical Leader — from ditchthattextbook.com; a guest post by Dan Fitzpatrick

Now is the time for visionary leadership in education. The era of artificial intelligence is reshaping the demands on education systems. Rigid policies, outdated curricula, and reliance on obsolete metrics are failing students. A recent survey from Resume Genius found that graduates lack skills in communication, collaboration, and critical thinking. Consequently, there is a growing trend in companies hiring candidates based on skills instead of traditional education or work experience. This underscores the urgent need for educational leaders to prioritize adaptability and innovation in their systems. Educational leaders must embrace a transformative approach to keep pace.

[Heretical leaders] bring courage, empathy, and strategic thinking to reimagine education’s potential. Here are their defining characteristics:

  • Visionary Thinking: They identify bold, innovative paths to progress.
  • Courage to Act: These leaders take calculated risks to overcome resistance and inertia.
  • Relentless Curiosity: They challenge assumptions and seek better alternatives.
  • Empathy for Stakeholders: Understanding the personal impact of change allows them to lead with compassion.
  • Strategic Disruption: Their deliberate actions ensure systemic improvements.
    These qualities enable Heretical leaders to reframe challenges as opportunities and drive meaningful change.

From DSC:
Readers of this blog will recognize that I believe visionary leadership is extremely important — in all areas of our society, but especially within our learning ecosystems. Vision trumps data, at least in my mind. There are times when data can be used to support a vision, but having a powerful vision is more lasting and impactful than relying on data to drive the organization.

So while I’d vote for a different term other than “heretical leaders,” I get what Dan is saying and I agree with him. Such leaders are going against the grain. They are swimming upstream. They are espousing perspectives that others often don’t buy into (at least initially or for some time). 

Such were the leaders who introduced online learning into the K-16 educational systems back in the late ’90s and into the next two+ decades. The growth of online-based learning continues and has helped educate millions of people. Those leaders and the people who worked for such endeavors were going against the grain.

We haven’t seen the end point of online-based learning. I think it will become even more powerful and impactful when AI is used to determine which jobs are opening up, and which skills are needed for those jobs, and then provide a listing of sources of where one can obtain that knowledge and develop those skills. People will be key in this vision. But so will AI and personalized learning. It will be a collaborative effort.

By the way, I am NOT advocating for using AI to outsource our thinking. Also, having basic facts and background knowledge in a domain is critically important, especially to use AI effectively. But we should be teaching students about AI (as we learn more about it ourselves). We should be working collaboratively with our students to understand how best to use AI. It’s their futures at stake.


 

10 Higher Ed Trends to Watch In 2025 — from insidetrack.org

While “polarization” was Merriam-Webster’s word of the year for 2024, we have some early frontrunners for 2025 — especially when it comes to higher education. Change. Agility. Uncertainty. Flexibility. As we take a deep dive into the trends on tap for higher education in the coming year, it’s important to note that, with an incoming administration who has vowed to shake things up, the current postsecondary system could be turned on its head. With that in mind, we wade into our yearly look at the topics and trends that will be making headlines — and making waves — in the year ahead.

#Highereducation #learningecosystems #change #trends #businessmodels #trends #onlinelearning #AI #DEI #skillsbasedlearning #skills #alternatives #LearningandEmploymentRecords #LERs #valueofhighereducation #GenAI

 

NVIDIA’s Apple moment?! — from theneurondaily.com by Noah Edelman and Grant Harvey
PLUS: How to level up your AI workflows for 2025…

NVIDIA wants to put an AI supercomputer on your desk (and it only costs $3,000).

And last night at CES 2025, Jensen Huang announced phase two of this plan: Project DIGITS, a $3K personal AI supercomputer that runs 200B parameter models from your desk. Guess we now know why Apple recently developed an NVIDIA allergy

But NVIDIA doesn’t just want its “Apple PC moment”… it also wants its OpenAI moment. NVIDIA also announced Cosmos, a platform for building physical AI (think: robots and self-driving cars)—which Jensen Huang calls “the ChatGPT moment for robotics.”


Jensen Huang’s latest CES speech: AI Agents are expected to become the next robotics industry, with a scale reaching trillions of dollars — from chaincatcher.com

NVIDIA is bringing AI from the cloud to personal devices and enterprises, covering all computing needs from developers to ordinary users.

At CES 2025, which opened this morning, NVIDIA founder and CEO Jensen Huang delivered a milestone keynote speech, revealing the future of AI and computing. From the core token concept of generative AI to the launch of the new Blackwell architecture GPU, and the AI-driven digital future, this speech will profoundly impact the entire industry from a cross-disciplinary perspective.

Also see:


NVIDIA Project DIGITS: The World’s Smallest AI Supercomputer. — from nvidia.com
A Grace Blackwell AI Supercomputer on your desk.


From DSC:
I’m posting this next item (involving Samsung) as it relates to how TVs continue to change within our living rooms. AI is finding its way into our TVs…the ramifications of this remain to be seen.


OpenAI ‘now knows how to build AGI’ — from therundown.ai by Rowan Cheung
PLUS: AI phishing achieves alarming success rates

The Rundown: Samsung revealed its new “AI for All” tagline at CES 2025, introducing a comprehensive suite of new AI features and products across its entire ecosystem — including new AI-powered TVs, appliances, PCs, and more.

The details:

  • Vision AI brings features like real-time translation, the ability to adapt to user preferences, AI upscaling, and instant content summaries to Samsung TVs.
  • Several of Samsung’s new Smart TVs will also have Microsoft Copilot built in, while also teasing a potential AI partnership with Google.
  • Samsung also announced the new line of Galaxy Book5 AI PCs, with new capabilities like AI-powered search and photo editing.
  • AI is also being infused into Samsung’s laundry appliances, art frames, home security equipment, and other devices within its SmartThings ecosystem.

Why it matters: Samsung’s web of products are getting the AI treatment — and we’re about to be surrounded by AI-infused appliances in every aspect of our lives. The edge will be the ability to sync it all together under one central hub, which could position Samsung as the go-to for the inevitable transition from smart to AI-powered homes.

***

“Samsung sees TVs not as one-directional devices for passive consumption but as interactive, intelligent partners that adapt to your needs,” said SW Yong, President and Head of Visual Display Business at Samsung Electronics. “With Samsung Vision AI, we’re reimagining what screens can do, connecting entertainment, personalization, and lifestyle solutions into one seamless experience to simplify your life.”from Samsung


Understanding And Preparing For The 7 Levels Of AI Agents — from forbes.com by Douglas B. Laney

The following framework I offer for defining, understanding, and preparing for agentic AI blends foundational work in computer science with insights from cognitive psychology and speculative philosophy. Each of the seven levels represents a step-change in technology, capability, and autonomy. The framework expresses increasing opportunities to innovate, thrive, and transform in a data-fueled and AI-driven digital economy.


The Rise of AI Agents and Data-Driven Decisions — from devprojournal.com by Mike Monocello
Fueled by generative AI and machine learning advancements, we’re witnessing a paradigm shift in how businesses operate and make decisions.

AI Agents Enhance Generative AI’s Impact
Burley Kawasaki, Global VP of Product Marketing and Strategy at Creatio, predicts a significant leap forward in generative AI. “In 2025, AI agents will take generative AI to the next level by moving beyond content creation to active participation in daily business operations,” he says. “These agents, capable of partial or full autonomy, will handle tasks like scheduling, lead qualification, and customer follow-ups, seamlessly integrating into workflows. Rather than replacing generative AI, they will enhance its utility by transforming insights into immediate, actionable outcomes.”


Here’s what nobody is telling you about AI agents in 2025 — from aidisruptor.ai by Alex McFarland
What’s really coming (and how to prepare). 

Everyone’s talking about the potential of AI agents in 2025 (and don’t get me wrong, it’s really significant), but there’s a crucial detail that keeps getting overlooked: the gap between current capabilities and practical reliability.

Here’s the reality check that most predictions miss: AI agents currently operate at about 80% accuracy (according to Microsoft’s AI CEO). Sounds impressive, right? But here’s the thing – for businesses and users to actually trust these systems with meaningful tasks, we need 99% reliability. That’s not just a 19% gap – it’s the difference between an interesting tech demo and a business-critical tool.

This matters because it completely changes how we should think about AI agents in 2025. While major players like Microsoft, Google, and Amazon are pouring billions into development, they’re all facing the same fundamental challenge – making them work reliably enough that you can actually trust them with your business processes.

Think about it this way: Would you trust an assistant who gets things wrong 20% of the time? Probably not. But would you trust one who makes a mistake only 1% of the time, especially if they could handle repetitive tasks across your entire workflow? That’s a completely different conversation.


Why 2025 will be the year of AI orchestration — from venturebeat.com by Emilia David|

In the tech world, we like to label periods as the year of (insert milestone here). This past year (2024) was a year of broader experimentation in AI and, of course, agentic use cases.

As 2025 opens, VentureBeat spoke to industry analysts and IT decision-makers to see what the year might bring. For many, 2025 will be the year of agents, when all the pilot programs, experiments and new AI use cases converge into something resembling a return on investment.

In addition, the experts VentureBeat spoke to see 2025 as the year AI orchestration will play a bigger role in the enterprise. Organizations plan to make management of AI applications and agents much more straightforward.

Here are some themes we expect to see more in 2025.


Predictions For AI In 2025: Entrepreneurs Look Ahead — from forbes.com by Jodie Cook

AI agents take charge
Jérémy Grandillon, CEO of TC9 – AI Allbound Agency, said “Today, AI can do a lot, but we don’t trust it to take actions on our behalf. This will change in 2025. Be ready to ask your AI assistant to book a Uber ride for you.” Start small with one agent handling one task. Build up to an army.

“If 2024 was agents everywhere, then 2025 will be about bringing those agents together in networks and systems,” said Nicholas Holland, vice president of AI at Hubspot. “Micro agents working together to accomplish larger bodies of work, and marketplaces where humans can ‘hire’ agents to work alongside them in hybrid teams. Before long, we’ll be saying, ‘there’s an agent for that.'”

Voice becomes default
Stop typing and start talking. Adam Biddlecombe, head of brand at Mindstream, predicts a shift in how we interact with AI. “2025 will be the year that people start talking with AI,” he said. “The majority of people interact with ChatGPT and other tools in the text format, and a lot of emphasis is put on prompting skills.

Biddlecombe believes, “With Apple’s ChatGPT integration for Siri, millions of people will start talking to ChatGPT. This will make AI so much more accessible and people will start to use it for very simple queries.”

Get ready for the next wave of advancements in AI. AGI arrives early, AI agents take charge, and voice becomes the norm. Video creation gets easy, AI embeds everywhere, and one-person billion-dollar companies emerge.



These 4 graphs show where AI is already impacting jobs — from fastcompany.com by Brandon Tucker
With a 200% increase in two years, the data paints a vivid picture of how AI technology is reshaping the workforce. 

To better understand the types of roles that AI is impacting, ZoomInfo’s research team looked to its proprietary database of professional contacts for answers. The platform, which detects more than 1.5 million personnel changes per day, revealed a dramatic increase in AI-related job titles since 2022. With a 200% increase in two years, the data paints a vivid picture of how AI technology is reshaping the workforce.

Why does this shift in AI titles matter for every industry?

 

60 Minutes Overtime
Sal Khan wants an AI tutor for every student: here’s how it’s working at an Indiana high school — from cbsnews.com by Anderson Cooper, Aliza Chasan, Denise Schrier Cetta, and Katie Brennan

“I mean, that’s what I’ll always want for my own children and, frankly, for anyone’s children,” Khan said. “And the hope here is that we can use artificial intelligence and other technologies to amplify what a teacher can do so they can spend more time standing next to a student, figuring them out, having a person-to-person connection.”

“After a week you start to realize, like, how you can use it,” Brockman said. “That’s been one of the really important things about working with Sal and his team, to really figure out what’s the right way to sort of bring this to parents and to teachers and to classrooms and to do that in a way…so that the students really learn and aren’t just, you know, asking for the answers and that the parents can have oversight and the teachers can be involved in that process.”


Nectir lets teachers tailor AI chatbots to provide their students with 24/7 educational support — from techcrunch.com by Lauren Forristal

More than 100 colleges and high schools are turning to a new AI tool called Nectir, allowing teachers to create a personalized learning partner that’s trained on their syllabi, textbooks, and assignments to help students with anything from questions related to their coursework to essay writing assistance and even future career guidance.

With Nectir, teachers can create an AI assistant tailored to their specific needs, whether for a single class, a department, or the entire campus. There are various personalization options available, enabling teachers to establish clear boundaries for the AI’s interactions, such as programming the assistant to assist only with certain subjects or responding in a way that aligns with their teaching style.

“It’ll really be that customized learning partner. Every single conversation that a student has with any of their assistants will then be fed into that student profile for them to be able to see based on what the AI thinks, what should I be doing next, not only in my educational journey, but in my career journey,” Ghai said. 


How Will AI Influence Higher Ed in 2025? — from insidehighered.com by Kathryn Palmer
No one knows for sure, but Inside Higher Ed asked seven experts for their predictions.

As the technology continues to evolve at a rapid pace, no one knows for sure how AI will influence higher education in 2025. But several experts offered Inside Higher Ed their predictions—and some guidance—for how colleges and universities will have to navigate AI’s potential in the new year.


How A.I. Can Revive a Love of Learning — from nytimes.com by Anant Agarwal
Modern technology offers new possibilities for transforming teaching.

In the short term, A.I. will help teachers create lesson plans, find illustrative examples and generate quizzes tailored to each student. Customized problem sets will serve as tools to combat cheating while A.I. provides instant feedback.

In the longer term, it’s possible to imagine a world where A.I. can ingest rich learner data and create personalized learning paths for students, all within a curriculum established by the teacher. Teachers can continue to be deeply involved in fostering student discussions, guiding group projects and engaging their students, while A.I. handles grading and uses the Socratic method to help students discover answers on their own. Teachers provide encouragement and one-on-one support when needed, using their newfound availability to give students some extra care.

Let’s be clear: A.I. will never replace the human touch that is so vital to education. No algorithm can replicate the empathy, creativity and passion a teacher brings to the classroom. But A.I. can certainly amplify those qualities. It can be our co-pilot, our chief of staff helping us extend our reach and improve our effectiveness.


Dancing with the Devil We Know: OpenAI and the Future of Education — from nickpotkalitsky.substack.com by Nick Potkalitsky
Analyzing OpenAI’s Student Writing Guide and Latest AI Tools

Today, I want to reflect on two recent OpenAI developments that highlight this evolution: their belated publication of advice for students on integrating AI into writing workflows, and last week’s launch of the full GPTo1 Pro version. When OpenAI released their student writing guide, there were plenty of snarky comments about how this guidance arrives almost a year after they thoroughly disrupted the educational landscape. Fair enough – I took my own side swipes initially. But let’s look at what they’re actually advising, because the details matter more than the timing.


Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise — from studentsupportaccelerator.org by Rose E.Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, and Dora Demszky


Pandemic, Politics, Pre-K & More: 12 Charts That Defined Education in 2024 — from the74million.org
From the spread of AI to the limits of federal COVID aid, these research findings captured the world of education this year.

Tutoring programs exploded in the last five years as states and school districts searched for ways to counter plummeting achievement during COVID. But the cost of providing supplemental instruction to tens of millions of students can be eye-watering, even as the results seem to taper off as programs serve more students.

That’s where artificial intelligence could prove a decisive advantage. A report circulated in October by the National Student Support Accelerator found that an AI-powered tutoring assistant significantly improved the performance of hundreds of tutors by prompting them with new ways to explain concepts to students. With the help of the tool, dubbed Tutor CoPilot, students assigned to the weakest tutors began posting academic results nearly equal to those assigned to the strongest. And the cost to run the program was just $20 per pupil.


On Capacity, Sustainability, And Attention — from marcwatkins.substack.com by Marc Watkins

Faculty must have the time and support necessary to come to terms with this new technology and that requires us to change how we view professional development in higher education and K-12. We cannot treat generative AI as a one-off problem that can be solved by a workshop, an invited talk, or a course policy discussion. Generative AI in education has to be viewed as a continuum. Faculty need a myriad of support options each semester:

  • Course buyouts
  • Fellowships
  • Learning communities
  • Reading groups
  • AI Institutes and workshops
  • Funding to explore the scholarship of teaching and learning around generative AI

New in 2025 and What Edleaders Should Do About It — from gettingsmart.com by Tom Vander Ark and Mason Pashia

Key Points

  • Education leaders should focus on integrating AI literacy, civic education, and work-based learning to equip students for future challenges and opportunities.
  • Building social capital and personalized learning environments will be crucial for student success in a world increasingly influenced by AI and decentralized power structures.
 

1-800-CHAT-GPT—12 Days of OpenAI: Day 10

Per The Rundown: OpenAI just launched a surprising new way to access ChatGPT — through an old-school 1-800 number & also rolled out a new WhatsApp integration for global users during Day 10 of the company’s livestream event.


How Agentic AI is Revolutionizing Customer Service — from customerthink.com by Devashish Mamgain

Agentic AI represents a significant evolution in artificial intelligence, offering enhanced autonomy and decision-making capabilities beyond traditional AI systems. Unlike conventional AI, which requires human instructions, agentic AI can independently perform complex tasks, adapt to changing environments, and pursue goals with minimal human intervention.

This makes it a powerful tool across various industries, especially in the customer service function. To understand it better, let’s compare AI Agents with non-AI agents.

Characteristics of Agentic AI

    • Autonomy: Achieves complex objectives without requiring human collaboration.
    • Language Comprehension: Understands nuanced human speech and text effectively.
    • Rationality: Makes informed, contextual decisions using advanced reasoning engines.
    • Adaptation: Adjusts plans and goals in dynamic situations.
    • Workflow Optimization: Streamlines and organizes business workflows with minimal oversight.

Clio: A system for privacy-preserving insights into real-world AI use — from anthropic.com

How, then, can we research and observe how our systems are used while rigorously maintaining user privacy?

Claude insights and observations, or “Clio,” is our attempt to answer this question. Clio is an automated analysis tool that enables privacy-preserving analysis of real-world language model use. It gives us insights into the day-to-day uses of claude.ai in a way that’s analogous to tools like Google Trends. It’s also already helping us improve our safety measures. In this post—which accompanies a full research paper—we describe Clio and some of its initial results.


Evolving tools redefine AI video — from heatherbcooper.substack.com by Heather Cooper
Google’s Veo 2, Kling 1.6, Pika 2.0 & more

AI video continues to surpass expectations
The AI video generation space has evolved dramatically in recent weeks, with several major players introducing groundbreaking tools.

Here’s a comprehensive look at the current landscape:

  • Veo 2…
  • Pika 2.0…
  • Runway’s Gen-3…
  • Luma AI Dream Machine…
  • Hailuo’s MiniMax…
  • OpenAI’s Sora…
  • Hunyuan Video by Tencent…

There are several other video models and platforms, including …

 

Teacher Shortage: Is Hybrid or Remote Teaching the Answer? — from edtechmagazine.com by Adam Stone
In these uncertain times, K–12 schools use technology to better support students and teachers.

How Can Remote or Hybrid Teaching Help?
A shift to virtual learning can help close the gaps.

First, remote work can draw more people into the field. “For some folks, particularly with the pandemic and teaching for a year or more online, they found that model appealing to them from a professional and personal standpoint,” Carbaugh says.

While many educators still prefer face-to-face interactions, he says, others may find the ability to work from home appealing.

Virtual learning can also broaden the candidate pool in hard-to-fill roles. In STEM, for instance, “you might have someone who is willing to teach a class for you in addition to their normal job,” Speegle says. “They can teach computer science, biology or calculus for an hour a day, and they’re done.”


What Happens When Public School Districts Embrace Hybrid Schools? — from asthe74million.org by Eric Wearne & Tom Loud
With a fifth of its school-age children engaged in homeschooling, one Tennessee district found a way to connect them to the public system

With one in five school-age children engaged in homeschooling, Blount County Schools decided in 2018 to offer an option aimed at bridging the best of both homeschooling and public school, while offering a flexible schedule and college preparatory academics.

While the hybrid schooling model is not necessarily new, two developments have emerged in recent years. First, interest in attending, founding, and working at these schools has increased since the Covid pandemic; and second, conventional public-school systems are starting to get into the game.


Launchpad Jobs — from burningglassinstitute.org; via Paul Fain’s Education Pipeline posting

Launchpad Jobs highlights how nondegree workers can achieve career success through strategic job choices. It reveals that nearly 2 million workers without college degrees earn six-figure salaries, demonstrating that fulfilling and well-paying careers are accessible without a traditional four-year education.

The report identifies key 73 roles, termed “Launchpad Jobs,” that offer a combination of strong wages, job stability, and upward mobility. These include positions such as EMTs, electricians, and bank tellers, which often serve as steppingstones to long-term success. Using big data analysis of career histories this report maps the trajectories of workers starting in various roles, showcasing how initial job choices influence future earnings and advancement potential.


Why College Freshman Enrollment Declined and What it Could Mean for Students — from usnews.com by Sarah Wood
Experts cite possible reasons for the 5% overall enrollment drop in fall 2024 and implications for the current admission cycle.


From DSC:
Speaking of learning ecosystems, this next piece is absolutely incredible in terms of learning ecosystems from other nations!!!

China leads world in massive open online courses: Ministry of Education — from globaltimes.cn by  Chen Xi; via GSV

China has established the world’s largest online education system, according to a document sent by the Ministry of Education to the Global Times on Wednesday.

As of now, the country has developed over 30 various online course platforms, with more than 97,000 massive open online courses (MOOCs) made available, 483 million registered users, and 1.39 billion learning instances. Additionally, 440 million instances of students obtaining course credits have been recorded, making China’s number of MOOCs and learners the highest in the world, according to the document.

Furthermore, a national smart education platform – the Smart Education of China in Higher Education – has launched 31,000 high-quality online courses, with 78,000 teachers participating in teaching and over 16.82 million users visiting, with more than 93 million visits, covering 183 countries and regions worldwide.

Many of these courses have garnered high praise among global students. 


2025 Job Skills Report — from coursera.org

Uncover the fastest-growing skills with the Job Skills Report 2025. This practical resource draws on data from Coursera’s 5 million enterprise learners to highlight the skills and learning experiences that employees, students, and job seekers will prioritize for career success* in 2025.

This year’s report reveals that generative AI (GenAI) is the most in-demand skill, with enterprise course enrollments soaring by 866% year-over-year. By upskilling learners globally, industry, higher education, and governments can unlock AI’s potential $15.7 trillion in global economic value ?by 2030.**

Access the report to:

  • Identify the fastest-growing skills in AI, business, data science, and technology.
  • Compare skill priorities of students, employees, and job seekers.
  • Understand how learners engage with AI learning experiences.

Break the monopoly on higher education pathways — from fastcompany.com by Antonio Gutierrez; via GSV
New models prove that younger and underserved populations are finding success with skills-based programs and hybrid educational models.

The Duet-SNHU model proves that accessible, flexible, and cost-effective alternatives are possible and scalable. Meanwhile, the explosion of nondegree credentials offers additional pathways to skills-focused career readiness, reflecting a growing appetite for innovation in education. To remain competitive in the global economy, the U.S. must embrace these alternatives while reforming traditional institutions.

Policymakers must prioritize funding based on performance metrics like graduation rates and job placements, and accreditors must hold institutions accountable for real-world outcomes. Business leaders, educators, and community stakeholders must champion scalable models that deliver equity and opportunity. The stakes are too high to cling to an outdated system. By disrupting the status quo, we can create an education system that serves all Americans and strengthens the economy for generations to come.

 

Where to start with AI agents: An introduction for COOs — from fortune.com by Ganesh Ayyar

Picture your enterprise as a living ecosystem, where surging market demand instantly informs staffing decisions, where a new vendor’s onboarding optimizes your emissions metrics, where rising customer engagement reveals product opportunities. Now imagine if your systems could see these connections too! This is the promise of AI agents — an intelligent network that thinks, learns, and works across your entire enterprise.

Today, organizations operate in artificial silos. Tomorrow, they could be fluid and responsive. The transformation has already begun. The question is: will your company lead it?

The journey to agent-enabled operations starts with clarity on business objectives. Leaders should begin by mapping their business’s critical processes. The most pressing opportunities often lie where cross-functional handoffs create friction or where high-value activities are slowed by system fragmentation. These pain points become the natural starting points for your agent deployment strategy.


Create podcasts in minutes — from elevenlabs.io by Eleven Labs
Now anyone can be a podcast producer


Top AI tools for business — from theneuron.ai


This week in AI: 3D from images, video tools, and more — from heatherbcooper.substack.com by Heather Cooper
From 3D worlds to consistent characters, explore this week’s AI trends

Another busy AI news week, so I organized it into categories:

  • Image to 3D
  • AI Video
  • AI Image Models & Tools
  • AI Assistants / LLMs
  • AI Creative Workflow: Luma AI Boards

Want to speak Italian? Microsoft AI can make it sound like you do. — this is a gifted article from The Washington Post;
A new AI-powered interpreter is expected to simulate speakers’ voices in different languages during Microsoft Teams meetings.

Artificial intelligence has already proved that it can sound like a human, impersonate individuals and even produce recordings of someone speaking different languages. Now, a new feature from Microsoft will allow video meeting attendees to hear speakers “talk” in a different language with help from AI.


What Is Agentic AI?  — from blogs.nvidia.com by Erik Pounds
Agentic AI uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems.

The next frontier of artificial intelligence is agentic AI, which uses sophisticated reasoning and iterative planning to autonomously solve complex, multi-step problems. And it’s set to enhance productivity and operations across industries.

Agentic AI systems ingest vast amounts of data from multiple sources to independently analyze challenges, develop strategies and execute tasks like supply chain optimization, cybersecurity vulnerability analysis and helping doctors with time-consuming tasks.


 

From DSC:
I opened up a BRAND NEW box of cereal from Post the other day. As I looked down into the package, I realized that it was roughly half full. (This has happened many times before, but it struck me so much this time that I had to take pictures of it and post this item.)
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Looks can be deceiving for sure. It looks like I should have been getting a full box of cereal…but no…only about half of the package was full. It’s another example of the shrinkflation of things — which can also be described as people deceptively ripping other people off. 

“As long as I’m earning $$, I don’t care how it impacts others.” <– That’s not me talking, but it’s increasingly the perspective that many Americans have these days. We don’t bother with ethics and morals…how old-fashioned can you get, right? We just want to make as much money as possible and to hell with how our actions/products are impacting others.

Another example from the food industry is one of the companies that I worked for in the 1990’s — Kraft Foods. Kraft has not served peoples’ health well at all. Even when they tried to take noble steps to provide healthier foods, other food executives/companies in the industry wouldn’t hop on board. They just wanted to please Wall Street, not Main Street. So companies like Kraft have contributed to the current situations that we face which involve obesity, diabetes, heart attacks, and other ailments. (Not to mention increased health care costs.) 

The gambling industry doesn’t give a rip about people either. Look out for the consequences.

And the cannabis industry joins the gambling industry...and they’re often right on the doorsteps of universities and colleges.

Bottom line reflection:
There are REAL ramifications when we don’t take Christ’s words/commands to love one another seriously (or even to care about someone at all). We’re experiencing such ramifications EVERY DAY now.

 

What We Talk about When We Talk about Networking — from michelleweise.substack.com by Dr. Michelle Weise, Julia Freeland Fisher, and Nitzan Pelman
Networking, Social Capital & the Goldilocks Ask

I recently had a chance to sit down with Julia Freeland Fisher, Director of Education at the Christensen Institute, and Nitzan Pelman, CEO of Climb Together and founder of Climb Hire, for a live CGN webinar on tapping into our networks (some of you may recall, I wrote about these two phenomenal women in my post, “Who You Know … A Little Bit: The Power of Weak Ties”).

I love getting to learn from their constantly evolving thinking on cultivating and mobilizing social capital. And in this episode, we get super tactical on the how-to’s of networking for young people.

From DSC:
Tell your kids or grandkids to watch this. I didn’t have a CLUE about networking when I graduated from high school — and even from college. It took me years to get an accurate understanding of the place and power of networking. And that it’s not all about looking out for #1 and taking from/manipulating/exploiting others. But it’s about sharing resources, learning and connecting with others, helping others connect with relevant others, and more.

I hope that we can produce more items like this to help the next generation get started and navigate their careers.

 

How to Secure Your 2025 Legal Tech — from americanbar.org by Rachel Bailey

Summary

  • With firms increasingly open to AI tools, now is an exciting time to do some blue-sky thinking about your firm’s technology as a whole.
  • This is a chance for teams to envision the future of their firm’s technology landscape and make bold choices that align with long-term goals.
  • Learn six tips that will improve your odds of approval for your legal tech budget.

Also relevant, see:


Why Technology-Driven Law Firms Are Poised For Long-Term Success — from forbes.com by Daniel Farrar

Client expectations have shifted significantly in today’s technology-driven world. Quick communication and greater transparency are now a priority for clients throughout the entire case life cycle. This growing demand for tech-enhanced processes comes not only from clients but also from staff, and is set to rise even further as more advances become available.

I see the shift to cloud-based digital systems, especially for small and midsized law firms, as evening the playing field by providing access to robust tools that can aid legal services. Here are some examples of how legal professionals are leveraging tech every day…


Just 10% of law firms have a GenAI policy, new Thomson Reuters report shows — from legaltechnology.com by Caroline Hill

Just 10% of law firms and 21% of corporate legal teams have now implemented policies to guide their organisation’s use of generative AI, according to a report out today (2 December) from Thomson Reuters.


AI & Law Symposium: Students Exploring Innovation, Challenges, and Legal Implications of a Technological Revolution — from allard.ubc.ca

Artificial Intelligence (AI) has been rapidly deployed around the world in a growing number of sectors, offering unprecedented opportunities while raising profound legal and ethical questions. This symposium will explore the transformative power of AI, focusing on its benefits, limitations, and the legal challenges it poses.

AI’s ability to revolutionize sectors such as healthcare, law, and business holds immense potential, from improving efficiency and access to services, to providing new tools for analysis and decision-making. However, the deployment of AI also introduces significant risks, including bias, privacy concerns, and ethical dilemmas that challenge existing legal and regulatory frameworks. As AI technologies continue to evolve, it is crucial to assess their implications critically to ensure responsible and equitable development.


The role of legal teams in creating AI ethics guardrails — from legaldive.com by Catherine Dawson
For organizations to balance the benefits of artificial intelligence with its risk, it’s important for counsel to develop policy on data governance and privacy.


How Legal Aid and Tech Collaboration Can Bridge the Justice Gap — from law.com by Kelli Raker and Maya Markovich
“Technology, when thoughtfully developed and implemented, has the potential to expand access to legal services significantly,” write Kelli Raker and Maya Markovich.

Challenges and Concerns
Despite the potential benefits, legal aid organizations face several hurdles in working with new technologies:

1. Funding and incentives: Most funding for legal aid is tied to direct legal representation, leaving little room for investment in general case management or exploration of innovative service delivery methods to exponentially scale impact.

2. Jurisdictional inconsistency: The lack of a unified court system or standardized forms across regions makes it challenging to develop accurate and widely applicable tech solutions in certain types of matters.

3. Organizational capacity: Many legal aid organizations lack the time and resources to thoroughly evaluate new tech offerings or collaboration opportunities or identify internal workflows and areas of unmet need with the highest chance for impact.

4. Data privacy and security: Legal aid providers need assurance that tech protects client data and avoids misuse of sensitive information.

5. Ethical considerations: There’s significant concern about the accuracy of information produced by consumer-facing technology and the potential for inadvertent unauthorized practice of law.

 

Adapting to the future | Educause

Institutions are balancing capacity issues and rapid technological advancements—including artificial intelligence—while addressing a loss of trust in higher education.

To adapt to the future, technology and data leaders must work strategically to restore trust, prepare for policy updates, and plan for online education growth.



 

For a true meritocracy, education must not be one-size-fits-all — from edsource.org by Eric Chung

What we can do is stop deciding who is educated, intelligent and successful based on only one type of student. Instead, we should recognize the value of all students, and offer more mainstream career and technical opportunities across K-12 education.

From DSC:
Note the power of CHOICE in this next excerpt:

There is another possibility. Consider Finland, which in the 1970s switched from the German model to one that teaches a combination of academic and technical subjects until age 16, when students choose a track. The vocational path for students interested in highly -skilled trades includes carpentry and culinary arts, but it also offers applied sciences, health care, and social services, which in the United States would require attending traditional academic universities.

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Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

 

Skill-Based Training: Embrace the Benefits; Stay Wary of the Hype — from learningguild.com by Paige Yousey

1. Direct job relevance
One of the biggest draws of skill-based training is its direct relevance to employees’ daily roles. By focusing on teaching job-specific skills, this approach helps workers feel immediately empowered to apply what they learn, leading to a quick payoff for both the individual and the organization. Yet, while this tight focus is a major benefit, it’s important to consider some potential drawbacks that could arise from an overly narrow approach.

Be wary of:

  • Overly Narrow Focus: Highly specialized training might leave employees with little room to apply their skills to broader challenges, limiting versatility and growth potential.
  • Risk of Obsolescence: Skills can quickly become outdated, especially in fast-evolving industries. L&D leaders should aim for regular updates to maintain relevance.
  • Neglect of Soft Skills: While technical skills are crucial, ignoring soft skills like communication and problem-solving may lead to a lack of balanced competency.

2. Enhanced job performance…
3. Addresses skill gaps…

…and several more areas to consider


Another item from Paige Yousey

5 Key EdTech Innovations to Watch — from learningguild.com by Paige Yousey

AI-driven course design

Strengths

  • Content creation and updates: AI streamlines the creation of training materials by identifying resource gaps and generating tailored content, while also refreshing existing materials based on industry trends and employee feedback to maintain relevance.
  • Data-driven insights: Use AI tools to provide valuable analytics to inform course development and instructional strategies, helping learner designers identify effective practices and improve overall learning outcomes.
  • Efficiency: Automating repetitive tasks, such as learner assessments and administrative duties, enables L&D professionals to concentrate on developing impactful training programs and fostering learner engagement.

Concerns

  • Limited understanding of context: AI may struggle to understand the specific educational context or the unique needs of diverse learner populations, potentially hindering effectiveness.
  • Oversimplification of learning: AI may reduce complex educational concepts to simple metrics or algorithms, oversimplifying the learning process and neglecting deeper cognitive development.
  • Resistance to change: Learning leaders may face resistance from staff who are skeptical about integrating AI into their training practices.

Also from the Learning Guild, see:

Use Twine to Easily Create Engaging, Immersive Scenario-Based Learning — from learningguild.com by Bill Brandon

Scenario-based learning immerses learners in realistic scenarios that mimic real-world challenges they might face in their roles. These learning experiences are highly relevant and relatable. SBL is active learning. Instead of passively consuming information, learners actively engage with the content by making decisions and solving problems within the scenario. This approach enhances critical thinking and decision-making skills.

SBL can be more effective when storytelling techniques create a narrative that guides learners through the scenario to maintain engagement and make the learning memorable. Learners receive immediate feedback on their decisions and learn from their mistakes. Reflection can deepen their understanding. Branching scenarios add simulated complex decision-making processes and show the outcome of various actions through interactive scenarios where learner choices lead to different outcomes.

Embrace the Future: Why L&D Leaders Should Prioritize AI Digital Literacy — from learningguild.com by Dr. Erica McCaig

The role of L&D leaders in AI digital literacy
For L&D leaders, developing AI digital literacy within an organization requires a well-structured curriculum and development plan that equips employees with the knowledge, skills, and ethical grounding needed to thrive in an AI-augmented workplace. This curriculum should encompass a range of competencies that enhance technical understanding and foster a mindset ready for innovation and responsible use of AI. Key areas to focus on include:

  • Understanding AI Fundamentals: …
  • Proficiency with AI Tools: …
  • Ethical Considerations: …
  • Cultivating Critical Thinking: …
 
© 2025 | Daniel Christian