Introducing Gemini 2.0: our new AI model for the agentic era — from blog.google by Sundar Pichai, Demis Hassabis, and Koray Kavukcuoglu

Today we’re excited to launch our next era of models built for this new agentic era: introducing Gemini 2.0, our most capable model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.

We’re getting 2.0 into the hands of developers and trusted testers today. And we’re working quickly to get it into our products, leading with Gemini and Search. Starting today our Gemini 2.0 Flash experimental model will be available to all Gemini users. We’re also launching a new feature called Deep Research, which uses advanced reasoning and long context capabilities to act as a research assistant, exploring complex topics and compiling reports on your behalf. It’s available in Gemini Advanced today.

Over the last year, we have been investing in developing more agentic models, meaning they can understand more about the world around you, think multiple steps ahead, and take action on your behalf, with your supervision.

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Try Deep Research and our new experimental model in Gemini, your AI assistant — from blog.google by Dave Citron
Deep Research rolls out to Gemini Advanced subscribers today, saving you hours of time. Plus, you can now try out a chat optimized version of 2.0 Flash Experimental in Gemini on the web.

Today, we’re sharing the latest updates to Gemini, your AI assistant, including Deep Research — our new agentic feature in Gemini Advanced — and access to try Gemini 2.0 Flash, our latest experimental model.

Deep Research uses AI to explore complex topics on your behalf and provide you with findings in a comprehensive, easy-to-read report, and is a first look at how Gemini is getting even better at tackling complex tasks to save you time.1


Google Unveils A.I. Agent That Can Use Websites on Its Own — from nytimes.com by Cade Metz and Nico Grant (NOTE: This is a GIFTED article for/to you.)
The experimental tool can browse spreadsheets, shopping sites and other services, before taking action on behalf of the computer user.

Google on Wednesday unveiled a prototype of this technology, which artificial intelligence researchers call an A.I. agent.

Google’s new prototype, called Mariner, is based on Gemini 2.0, which the company also unveiled on Wednesday. Gemini is the core technology that underpins many of the company’s A.I. products and research experiments. Versions of the system will power the company’s chatbot of the same name and A.I. Overviews, a Google search tool that directly answers user questions.


Gemini 2.0 is the next chapter for Google AI — from axios.com by Ina Fried

Google Gemini 2.0 — a major upgrade to the core workings of Google’s AI that the company launched Wednesday — is designed to help generative AI move from answering users’ questions to taking action on its own…

The big picture: Hassabis said building AI systems that can take action on their own has been DeepMind’s focus since its early days teaching computers to play games such as chess and Go.

  • “We were always working towards agent-based systems,” Hassabis said. “From the beginning, they were able to plan and then carry out actions and achieve objectives.”
  • Hassabis said AI systems that can act as semi-autonomous agents also represent an important intermediate step on the path toward artificial general intelligence (AGI) — AI that can match or surpass human capabilities.
  • “If we think about the path to AGI, then obviously you need a system that can reason, break down problems and carry out actions in the world,” he said.

AI Agents vs. AI Assistants: Know the Key Differences — from aithority.com by Rishika Patel

The same paradigm applies to AI systems. AI assistants function as reactive tools, completing tasks like answering queries or managing workflows upon request. Think of chatbots or scheduling tools. AI agents, however, work autonomously to achieve set objectives, making decisions and executing tasks dynamically, adapting as new information becomes available.

Together, AI assistants and agents can enhance productivity and innovation in business environments. While assistants handle routine tasks, agents can drive strategic initiatives and problem-solving. This powerful combination has the potential to elevate organizations, making processes more efficient and professionals more effective.


Discover how to accelerate AI transformation with NVIDIA and Microsoft — from ignite.microsoft.com

Meet NVIDIA – The Engine of AI. From gaming to data science, self-driving cars to climate change, we’re tackling the world’s greatest challenges and transforming everyday life. The Microsoft and NVIDIA partnership enables Startups, ISVs, and Partners global access to the latest NVIDIA GPUs on-demand and comprehensive developer solutions to build, deploy and scale AI-enabled products and services.


Google + Meta + Apple New AI — from theneurondaily.com by Grant Harve

What else Google announced:

  • Deep Research: New feature that can explore topics and compile reports.
  • Project Astra: AI agent that can use Google Search, Lens, and Maps, understands multiple languages, and has 10-minute conversation memory.
  • Project Mariner: A browser control agent that can complete web tasks (83.5% success rate on WebVoyager benchmark). Read more about Mariner here.
  • Agents to help you play (or test) video games.

AI Agents: Easier To Build, Harder To Get Right — from forbes.com by Andres Zunino

The swift progress of artificial intelligence (AI) has simplified the creation and deployment of AI agents with the help of new tools and platforms. However, deploying these systems beneath the surface comes with hidden challenges, particularly concerning ethics, fairness and the potential for bias.

The history of AI agents highlights the growing need for expertise to fully realize their benefits while effectively minimizing risks.

 

Nieman Lab.Predictions for Journalism, 2025. — from niemanlab.org by Mira Lowe
Prediction: Journalism education leads the change we seek

In this evolving landscape, journalism educators continue to prepare their students for technological advancements and shifting consumer behaviors driving the industry. In 2025, college journalism programs will push forward and adapt to meet workforce demands, student expectations and community needs. Keep an eye on developments in these key areas:

  • Ethics and misinformation:…
  • Global perspectives:…
  • Artificial intelligence: …
  • Local news and community engagement:…
  • Diversity and belonging:…

“Training the next generation of journalists means preparing them to be global citizens.”


Why You Need a News Vacation — from davidepstein.substack.com by David Epstein
We’re not made for 24/7 feeds of catastrophe

I’ve noticed a small trend among journalists I follow — writing about their own versions of news vacations. Amanda Ripley, the author of High Conflict (who I interviewed recently), wrote in 2022 about how she stopped reading the news after two decades as a news junkie. The news, she wrote, had become too constant, and too uniformly negative with too few “solutions stories,” and left her feeling hopeless and like she had a lack of agency in the world.

I don’t think this means that we should abandon keeping up with the news. I think it would be disastrous if we all did that. (And I happen to have an extra-special place in my heart for local news.) But I think regular breaks are healthy, and helpful. As I prepare to turn in the first draft of my new book, I’m grateful that focusing on the project forced me into a few breaks from the news, and to turn to slower sources of information and wisdom. From now on, I plan to take a news vacation every year.

From DSC:
My news consumption varies throughout the days, weeks, and months. Sometimes I catch a lot of it…sometimes not much at all. I get bummed out about a lot of what’s called news these days. I call the news on TV the “Death & Dying Report.” Even the weather seems to have to be deadly if it is to qualify for coverage. Then there’s the “Who killed who report” (dating back years ago if current material is running scarce). Then there’s the “How are we going to survive this new virus or that new disease?” Etc.

It’s an agenda of fear that the networks are focused upon. Hmmm…I’ll stop there for today.

 

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.


 

What Students Are Saying About Teachers Using A.I. to Grade — from nytimes.com by The Learning Network; via Claire Zau
Teenagers and educators weigh in on a recent question from The Ethicist.

Is it unethical for teachers to use artificial intelligence to grade papers if they have forbidden their students from using it for their assignments?

That was the question a teacher asked Kwame Anthony Appiah in a recent edition of The Ethicist. We posed it to students to get their take on the debate, and asked them their thoughts on teachers using A.I. in general.

While our Student Opinion questions are usually reserved for teenagers, we also heard from a few educators about how they are — or aren’t — using A.I. in the classroom. We’ve included some of their answers, as well.


OpenAI wants to pair online courses with chatbots — from techcrunch.com by Kyle Wiggers; via James DeVaney on LinkedIn

If OpenAI has its way, the next online course you take might have a chatbot component.

Speaking at a fireside on Monday hosted by Coeus Collective, Siya Raj Purohit, a member of OpenAI’s go-to-market team for education, said that OpenAI might explore ways to let e-learning instructors create custom “GPTs” that tie into online curriculums.

“What I’m hoping is going to happen is that professors are going to create custom GPTs for the public and let people engage with content in a lifelong manner,” Purohit said. “It’s not part of the current work that we’re doing, but it’s definitely on the roadmap.”


15 Times to use AI, and 5 Not to — from oneusefulthing.org by Ethan Mollick
Notes on the Practical Wisdom of AI Use

There are several types of work where AI can be particularly useful, given the current capabilities and limitations of LLMs. Though this list is based in science, it draws even more from experience. Like any form of wisdom, using AI well requires holding opposing ideas in mind: it can be transformative yet must be approached with skepticism, powerful yet prone to subtle failures, essential for some tasks yet actively harmful for others. I also want to caveat that you shouldn’t take this list too seriously except as inspiration – you know your own situation best, and local knowledge matters more than any general principles. With all that out of the way, below are several types of tasks where AI can be especially useful, given current capabilities—and some scenarios where you should remain wary.


Learning About Google Learn About: What Educators Need To Know — from techlearning.com by Ray Bendici
Google’s experimental Learn About platform is designed to create an AI-guided learning experience

Google Learn About is a new experimental AI-driven platform available that provides digestible and in-depth knowledge about various topics, but showcases it all in an educational context. Described by Google as a “conversational learning companion,” it is essentially a Wikipedia-style chatbot/search engine, and then some.

In addition to having a variety of already-created topics and leading questions (in areas such as history, arts, culture, biology, and physics) the tool allows you to enter prompts using either text or an image. It then provides a general overview/answer, and then suggests additional questions, topics, and more to explore in regard to the initial subject.

The idea is for student use is that the AI can help guide a deeper learning process rather than just provide static answers.


What OpenAI’s PD for Teachers Does—and Doesn’t—Do — from edweek.org by Olina Banerji
What’s the first thing that teachers dipping their toes into generative artificial intelligence should do?

They should start with the basics, according to OpenAI, the creator of ChatGPT and one of the world’s most prominent artificial intelligence research companies. Last month, the company launched an hour-long, self-paced online course for K-12 teachers about the definition, use, and harms of generative AI in the classroom. It was launched in collaboration with Common Sense Media, a national nonprofit that rates and reviews a wide range of digital content for its age appropriateness.

…the above article links to:

ChatGPT Foundations for K–12 Educators — from commonsense.org

This course introduces you to the basics of artificial intelligence, generative AI, ChatGPT, and how to use ChatGPT safely and effectively. From decoding the jargon to responsible use, this course will help you level up your understanding of AI and ChatGPT so that you can use tools like this safely and with a clear purpose.

Learning outcomes:

  • Understand what ChatGPT is and how it works.
  • Demonstrate ways to use ChatGPT to support your teaching practices.
  • Implement best practices for applying responsible AI principles in a school setting.

Takeaways From Google’s Learning in the AI Era Event — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell
Highlights from Our Day at Google + Behind-the-Scenes Interviews Coming Soon!

  1. NotebookLM: The Start of an AI Operating System
  2. Google is Serious About AI and Learning
  3. Google’s LearnLM Now Available in AI Studio
  4. Collaboration is King
  5. If You Give a Teacher a Ferrari

Rapid Responses to AI — from the-job.beehiiv.com by Paul Fain
Top experts call for better data and more short-term training as tech transforms jobs.

AI could displace middle-skill workers and widen the wealth gap, says landmark study, which calls for better data and more investment in continuing education to help workers make career pivots.

Ensuring That AI Helps Workers
Artificial intelligence has emerged as a general purpose technology with sweeping implications for the workforce and education. While it’s impossible to precisely predict the scope and timing of looming changes to the labor market, the U.S. should build its capacity to rapidly detect and respond to AI developments.
That’s the big-ticket framing of a broad new report from the National Academies of Sciences, Engineering, and Medicine. Congress requested the study, tapping an all-star committee of experts to assess the current and future impact of AI on the workforce.

“In contemplating what the future holds, one must approach predictions with humility,” the study says…

“AI could accelerate occupational polarization,” the committee said, “by automating more nonroutine tasks and increasing the demand for elite expertise while displacing middle-skill workers.”

The Kicker: “The education and workforce ecosystem has a responsibility to be intentional with how we value humans in an AI-powered world and design jobs and systems around that,” says Hsieh.


AI Predators: What Schools Should Know and Do — from techlearning.com by Erik Ofgang
AI is increasingly be used by predators to connect with underage students online. Yasmin London, global online safety expert at Qoria and a former member of the New South Wales Police Force in Australia, shares steps educators can take to protect students.

The threat from AI for students goes well beyond cheating, says Yasmin London, global online safety expert at Qoria and a former member of the New South Wales Police Force in Australia.

Increasingly at U.S. schools and beyond, AI is being used by predators to manipulate children. Students are also using AI generate inappropriate images of other classmates or staff members. For a recent report, Qoria, a company that specializes in child digital safety and wellbeing products, surveyed 600 schools across North America, UK, Australia, and New Zealand.


Why We Undervalue Ideas and Overvalue Writing — from aiczar.blogspot.com by Alexander “Sasha” Sidorkin

A student submits a paper that fails to impress stylistically yet approaches a worn topic from an angle no one has tried before. The grade lands at B minus, and the student learns to be less original next time. This pattern reveals a deep bias in higher education: ideas lose to writing every time.

This bias carries serious equity implications. Students from disadvantaged backgrounds, including first-generation college students, English language learners, and those from under-resourced schools, often arrive with rich intellectual perspectives but struggle with academic writing conventions. Their ideas – shaped by unique life experiences and cultural viewpoints – get buried under red ink marking grammatical errors and awkward transitions. We systematically undervalue their intellectual contributions simply because they do not arrive in standard academic packaging.


Google Scholar’s New AI Outline Tool Explained By Its Founder — from techlearning.com by Erik Ofgang
Google Scholar PDF reader uses Gemini AI to read research papers. The AI model creates direct links to the paper’s citations and a digital outline that summarizes the different sections of the paper.

Google Scholar has entered the AI revolution. Google Scholar PDF reader now utilizes generative AI powered by Google’s Gemini AI tool to create interactive outlines of research papers and provide direct links to sources within the paper. This is designed to make reading the relevant parts of the research paper more efficient, says Anurag Acharya, who co-founded Google Scholar on November 18, 2004, twenty years ago last month.


The Four Most Powerful AI Use Cases in Instructional Design Right Now — from drphilippahardman.substack.com by Dr. Philippa Hardman
Insights from ~300 instructional designers who have taken my AI & Learning Design bootcamp this year

  1. AI-Powered Analysis: Creating Detailed Learner Personas…
  2. AI-Powered Design: Optimising Instructional Strategies…
  3. AI-Powered Development & Implementation: Quality Assurance…
  4. AI-Powered Evaluation: Predictive Impact Assessment…

How Are New AI Tools Changing ‘Learning Analytics’? — from edsurge.com by Jeffrey R. Young
For a field that has been working to learn from the data trails students leave in online systems, generative AI brings new promises — and new challenges.

In other words, with just a few simple instructions to ChatGPT, the chatbot can classify vast amounts of student work and turn it into numbers that educators can quickly analyze.

Findings from learning analytics research is also being used to help train new generative AI-powered tutoring systems.

Another big application is in assessment, says Pardos, the Berkeley professor. Specifically, new AI tools can be used to improve how educators measure and grade a student’s progress through course materials. The hope is that new AI tools will allow for replacing many multiple-choice exercises in online textbooks with fill-in-the-blank or essay questions.


Increasing AI Fluency Among Enterprise Employees, Senior Management & Executives — from learningguild.com by Bill Brandon

This article attempts, in these early days, to provide some specific guidelines for AI curriculum planning in enterprise organizations.

The two reports identified in the first paragraph help to answer an important question. What can enterprise L&D teams do to improve AI fluency in their organizations?

You could be surprised how many software products have added AI features. Examples (to name a few) are productivity software (Microsoft 365 and Google Workspace); customer relationship management (Salesforce and Hubspot); human resources (Workday and Talentsoft); marketing and advertising (Adobe Marketing Cloud and Hootsuite); and communication and collaboration (Slack and Zoom). Look for more under those categories in software review sites.

 

The Many Special Populations Microschools Serve — from microschoolingcenter.org. by Don Soifer

Kids representing a broad range of special populations have a strong presence in today’s microschooling movement. Children with neurodiversities, other special needs, and those coming to microschools at two or more grades below “grade level mastery” as defined by their state all are served by more than 50 percent of microschools surveyed nationally, according to the Center’s 2024 American Microschools Sector Analysis report.

Children who have experienced emotional trauma or have experienced housing or food insecurity are also being served widely in microschools, according to leaders surveyed nationally.

This won’t come as a surprise to most in the microschooling movement. But to those who are less familiar, understanding the many ways that microschooling is about thriving for families and children who have struggled in their prior schooling settings.
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The many special populations that microschools serve

 

Focus on School-to-Home Resources for the Holidays

Focus on School-to-Home Resources for the Holidays — from classtechtips.com by Monica Burns

As the holiday season approaches, families might reach out to educators looking for resources to support learning over school break. By leveraging high-quality, vetted resources, you can ensure that the school-to-home connection stays strong, even during winter break. Today on the blog, I’m excited to share some resources for the holidays from the team at Ask, Listen, Learn.


Also see:

Tech-Savvy Approaches for a Differentiated Classroom with Dr. Clare Kilbane and Dr. Natalie Milman – Easy EdTech Podcast 296

Tech-Savvy Approaches for a Differentiated Classroom with Dr. Clare Kilbane and Dr. Natalie Milman – Easy EdTech Podcast 296

In this episode, educational leaders and fellow ASCD authors Dr. Clare Kilbane and Dr. Natalie Milman share expert strategies for using EdTech to personalize learning. Explore insights from their book, Using Technology in a Differentiated Classroom, and discover practical tips to thoughtfully integrate digital tools and support diverse learners. If you’re ready to elevate all students’ learning journeys, this episode is a must-listen!


Also see:

Lesson planning resource -- short, engaging videos for students

Lesson planning resource — short, engaging videos for students
This post is sponsored by ClickView. All opinions are my own.

Where do you go to find engaging, high-quality content for your lesson plans? Searching for short videos for students might feel like a time consuming task. As a classroom teacher there were plenty of times when I knew watching a video clip would help students better understand a concept, but I couldn’t always find the right videos to share with them. ClickView is a platform with video resources curated just for K-12 educators.

Today on the blog we’ll take a look at ClickView, a video platform for K-12 schools designed to make lesson planning easier. Whether you’re introducing a new topic or diving deeper into a complex unit, ClickView’s range of videos and innovative features can transform the way you teach.

 

VLOG: Learning in Medical School — from learningscientists.org by The Learning Scientists

NOTE:
  • This vlog is for anyone in medical school, interested in medical school, or just curious about what learning is like in medical school!

In this vlog Althea and Cindy talk about their work with medical student learners. They discuss common learning challenges in medical school, efficient learning strategies, learning in the context of attentional disorders and anxiety, and what it means to prepare future healers.

 

20 Years of Law School Insights: Diversity, Debt, and Student Satisfaction Trends — from jdjournal.com by Maria Lenin Laus (may ask for email address and first name to access this)

Over the past two decades, law school students have consistently rated their educational experiences highly. According to the Law School Survey of Student Engagement (LSSSE), nearly 80% of law students have described their experience as “good” or “excellent” since the survey’s inception in 2004. However, significant disparities in satisfaction persist, particularly among students of color.

The LSSSE, conducted by Indiana University’s Center for Postsecondary Research, recently released its 20th-anniversary report. The report reflects on changes in student diversity, debt, career aspirations, and overall satisfaction and paints a nuanced picture of the evolving law school experience and the remaining challenges.

Also see:


Law student satisfaction rates high for last 20 years, lower for students of color, study shows — from reuters.com by Karen Sloan

Nov 26 (Reuters) – Aspiring lawyers have consistently rated their experience at law schools well over the past two decades, with about 80% rating their experience as either “good” or “excellent” on the annual Law School Survey of Student Engagement, although satisfaction rates among students of color were lower than among whites over the past 20 years.

The survey, opens new tab, part of Indiana University’s Center for Postsecondary Research, marked its 20th edition this month with a look back at how student diversity, debt loads, career plans and satisfaction levels have changed – or not – during that time.


 

US College Closures Are Expected to Soar, Fed Research Says — from bloomberg.com

  • Fed research created predictive model of college stress
  • Worst-case scenario forecasts 80 additional closures

The number of colleges that close each year is poised to significantly increase as schools contend with a slowdown in prospective students.

That’s the finding of a new working paper published by the Federal Reserve Bank of Philadelphia, where researchers created predictive models of schools’ financial distress using metrics like enrollment and staffing patterns, sources of revenue and liquidity data. They overlayed those models with simulations to estimate the likely increase of future closures.

Excerpt from the working paper:

We document a high degree of missing data among colleges that eventually close and show that this is a key impediment to identifying at risk institutions. We then show that modern machine learning techniques, combined with richer data, are far more effective at predicting college closures than linear probability models, and considerably more effective than existing accountability metrics. Our preferred model, which combines an off-the-shelf machine learning algorithm with the richest set of explanatory variables, can significantly improve predictive accuracy even for institutions with complete data, but is particularly helpful for predicting instances of financial distress for institutions with spotty data.


From DSC:
Questions that come to my mind here include:

  • Shouldn’t the public — especially those relevant parents and students — be made more aware of these types of papers and reports?
    .
  • How would any of us like finishing up 1-3 years of school and then being told that our colleges or universities were closing, effective immediately? (This has happened many times already.) and with the demographic cliff starting to hit higher education, this will happen even more now.
    .
    Adding insult to injury…when we transfer to different institutions, we’re told that many of our prior credits don’t transfer — thus adding a significant amount to the overall cost of obtaining our degrees.
    .
  • Would we not be absolutely furious to discover such communications from our prior — and new — colleges and universities?
    .
  • Will all of these types of closures move more people to this vision here?

Relevant excerpts from Ray Schroeder’s recent articles out at insidehighered.com:

Winds of Change in Higher Ed to Become a Hurricane in 2025

A number of factors are converging to create a huge storm. Generative AI advances, massive federal policy shifts, broad societal and economic changes, and the demographic cliff combine to create uncertainty today and change tomorrow.

Higher Education in 2025: AGI Agents to Displace People

The anticipated enrollment cliff, reductions in federal and state funding, increased inflation, and dwindling public support for tuition increases will combine to put even greater pressure on university budgets.


On the positive side of things, the completion rates have been getting better:

National college completion rate ticks up to 61.1% — from highereddive.com by Natalie Schwartz
Those who started at two-year public colleges helped drive the overall increase in students completing a credential.

Dive Brief:

  • Completion rates ticked up to 61.1% for students who entered college in fall 2018, a 0.5 percentage-point increase compared to the previous cohort, according to data released Wednesday by the National Student Clearinghouse Research Center.
  • The increase marks the highest six-year completion rate since 2007 when the clearinghouse began tracking the data. The growth was driven by fewer students stopping out of college, as well as completion gains among students who started at public two-year colleges.
  • “Higher completion rates are welcome news for colleges and universities still struggling to regain enrollment levels from before the pandemic,” Doug Shapiro, the research center’s executive director, said in a statement dated Wednesday.

Addendum:

Attention Please: Professors Struggle With Student Disengagement — from edsurge.com

The stakes are huge, because the concern is that maybe the social contract between students and professors is kind of breaking down. Do students believe that all this college lecturing is worth hearing? Or, will this moment force a change in the way college teaching is done?

 

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.

 

Closing the digital use divide with active and engaging learning — from eschoolnews.com by Laura Ascione
Students offered insight into how to use active learning, with digital tools, to boost their engagement

When it comes to classroom edtech use, digital tools have a drastically different impact when they are used actively instead of passively–a critical difference examined in the 2023-2024 Speak Up Research by Project Tomorrow.

Students also outlined their ideal active learning technologies:

  • Collaboration tools to support projects
  • Student-teacher communication tools
  • Online databases for self-directed research
  • Multi-media tools for creating new content
  • Online and digital games
  • AI tools to support personalized learning
  • Coding and computer programming resources
  • Online animations, simulations, and virtual labs
  • Virtual reality equipment and content
 

What Happens When ‘Play’ Is Left Out of the School Curriculum — from edsurge.com by Fatema Elbakoury
When two birds flew into my classroom, I realized how much teachers lose when we don’t trust students to play.

Due to the rigidity of curriculum, standardized tests and the controlling nature of compulsory education, playfulness and unstructured time are seen as detrimental to a student’s learning. But what is learning and why is play seen as so antithetical to teaching? What if we centered playfulness and unstructured time in our classrooms, even when it has nothing to do with the curriculum? Part of learning is acquiring knowledge through experience. If play is an experience it, too, can result in the acquisition of knowledge.


Campus webinar: The art of bringing creativity and fun into the classroom — from Times Higher Education

In our latest webinar, we spoke to three experts from Campus+ partner across the UK to discuss creative and fun ways to get students engaged, both online and in the classroom.

Gary Burnett from Loughborough University, Simon Brownhill from the University of Bristol and Kelly Edmunds from the University of East Anglia talked to us about:

  • Creative and fun ways to get students engaged, in-person and online
  • Tapping into students’ creativity for better learning outcomes
  • Creating a culture of creativity and experimentation
  • Breaking down disciplinary boundaries for learning and collaboration
  • Creative ways to bring AI into classroom activities and assignments
  • Play as a powerful teaching tool


 

AI Tutors: Hype or Hope for Education? — from educationnext.org by John Bailey and John Warner
In a new book, Sal Khan touts the potential of artificial intelligence to address lagging student achievement. Our authors weigh in.

In Salman Khan’s new book, Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing) (Viking, 2024), the Khan Academy founder predicts that AI will transform education by providing every student with a virtual personalized tutor at an affordable cost. Is Khan right? Is radically improved achievement for all students within reach at last? If so, what sorts of changes should we expect to see, and when? If not, what will hold back the AI revolution that Khan foresees? John Bailey, a visiting fellow at the American Enterprise Institute, endorses Khan’s vision and explains the profound impact that AI technology is already making in education. John Warner, a columnist for the Chicago Tribune and former editor for McSweeney’s Internet Tendency, makes the case that all the hype about AI tutoring is, as Macbeth quips, full of sound and fury, signifying nothing.

 

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.



 
 
© 2024 | Daniel Christian