United States

Integrating Active Learning in Large STEM Lectures [Pinto]

On 11/19/2024, in active learning, adjunct faculty, colleges, community colleges, faculty, higher education, ideas, instructional design, Learning Experience Design, pedagogy, teaching & learning, United States, by Daniel Christian

Integrating Active Learning in Large STEM Lectures — from scholarlyteacher.com by Gabriele Pinto

Key Statement: Implementing elements of active learning into a large course may seem daunting task, but think-pair-share aided by quizzing and clickers can be done in any size classroom.

Many teachers do not realize how seamless it can be to shift their lectures towards a more active learning environment. In this article, we looked at how think-pair-share (TPS) is a simple activity that can be easily introduced and integrated within a lecture framework. We also explored how clickers and quizzing may fit into course design to provide greater tools of participation for the students and enrich their classroom experience and study patterns. These implementations, which do not involve drastic and daunting changes to lecturing, will improve student engagement and learning, and will allow the instructor to better gauge the state of the class, evaluate and adjust content pacing accordingly, and enrich his own teaching experience, as well as the students’ education.

Being a College Athlete Now Means Constant Travel and Missed Classes [Witz]

On 11/15/2024, in colleges, entrepreneurship, leadership, society, student-related, surviving, United States, universities, by Daniel Christian

Being a College Athlete Now Means Constant Travel and Missed Classes — from nytimes.com by Billy Witz; via Ryan Craig
Players are dealing with far-flung travel, jet lag and the pressures of trying to balance the roles of student, athlete and entrepreneur more than ever before.

Playing football this season for the U.C.L.A. Bruins means being a frequent (and distant) flier. The team began the campaign in August with a win at the University of Hawaii. Their next road games sent the Bruins to Louisiana State, then Penn State, and back across the country to Rutgers. Then, a trip to Nebraska on Saturday and a jaunt up to Washington.

Such is the life of the modern-day college athlete, with U.C.L.A. moving into the Big Ten Conference, the erstwhile standard-bearer for Midwest football that now stretches from Piscataway to Puget Sound.

In all, the Bruins will travel 22,226 miles this season — nearly enough to circumnavigate the globe. It is the equivalent of 33 round trips to the Bay Area to play Stanford or U.C. Berkeley, U.C.L.A.’s former rivals that have moved to a newly bicoastal league of their own.

Longer trips for games, extra missed classes and the effects of jet lag are heaping additional pressure on young adults trying to balance the roles of student, athlete and — in an age when they can cash in on their fame — entrepreneur.
…
The U.S.C. women’s volleyball team, which has four midweek road games, is likely to miss at least 12 days of classes.

Using AI to brainstorm students own learning objectives [Potkalitsky] + other items re: AI in our learning ecosystems

On 11/13/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Canvas - and other Instructure-related items, change, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education, education technology, educational games / serious games, emerging technologies, ethics, experimentation, faculty, formal learning, future, future of higher education, game-changing environment, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, liberal arts, mathematics, morals/values, platforms, productivity / tips and tricks, skills, student-related, teachers, teaching & learning, technologies for your home, tools, UK, United States, universities, vendors, youth, by Daniel Christian

“The Value of Doing Things: What AI Agents Mean for Teachers” — from nickpotkalitsky.substack.com by guest author Jason Gulya, Professor of English and Applied Media at Berkeley College in New York City

AI Agents make me nervous. Really nervous.

I wish they didn’t.

I wish I could write that the last two years have made me more confident, more self-assured that AI is here to augment workers rather than replace them.

But I can’t.

I wish I could write that I know where schools and colleges will end up. I wish I could say that AI Agents will help us get where we need to be.

But I can’t.

At this point, today, I’m at a loss. I’m not sure where the rise of AI agents will take us, in terms of how we work and learn. I’m in the question-asking part of my journey. I have few answers.

So, let’s talk about where (I think) AI Agents will take education. And who knows? Maybe as I write I’ll come up with something more concrete.

It’s worth a shot, right?

From DSC:
I completely agree with Jason’s following assertion:

A good portion of AI advancement will come down to employee replacement. And AI Agents push companies towards that.

THAT’s where/what the ROI will be for corporations. They will make their investments up in the headcount area, and likely in other areas as well (product design, marketing campaigns, engineering-related items, and more). But how much time it takes to get there is a big question mark.

One last quote here…it’s too good not to include:

Behind these questions lies a more abstract, more philosophical one: what is the relationship between thinking and doing in a world of AI Agents and other kinds of automation?

How Good are Claude, ChatGPT & Gemini at Instructional Design? — from drphilippahardman.substack.com by Dr Philippa Hardman
A test of AI’s Instruction Design skills in theory & in practice

By examining models across three AI families—Claude, ChatGPT, and Gemini—I’ve started to identify each model’s strengths, limitations, and typical pitfalls.

Spoiler: my findings underscore that until we have specialised, fine-tuned AI copilots for instructional design, we should be cautious about relying on general-purpose models and ensure expert oversight in all ID tasks.

From DSC — I’m going to (have Nick) say this again:
I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing.

Students began mapping out research directions I’d never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns.

The Digital Literacy Quest: Become an AI Hero — from gamma.app

From DSC:
I have not gone through all of these online-based materials, but I like what they are trying to get at:

Confidence with AI
Students gain practical skills and confidence in using AI tools effectively.
Ethical Navigation
Learn to navigate the ethical landscape of AI with integrity and responsibility. Make informed decisions about AI usage.
Mastering Essential Skills
Develop critical thinking and problem-solving skills in the context of AI.

Expanding access to the Gemini app for teen students in education — from workspaceupdates.googleblog.com

Google Workspace for Education admins can now turn on the Gemini app with added data protection as an additional service for their teen users (ages 13+ or the applicable age in your country) in the following languages and countries. With added data protection, chats are not reviewed by human reviewers or otherwise used to improve AI models. The Gemini app will be a core service in the coming weeks for Education Standard and Plus users, including teens,

5 Essential Questions Educators Have About AI — from edsurge.com by Annie Ning

Recently, I spoke with several teachers regarding their primary questions and reflections on using AI in teaching and learning. Their thought-provoking responses challenge us to consider not only what AI can do but what it means for meaningful and equitable learning environments. Keeping in mind these reflections, we can better understand how we move forward toward meaningful AI integration in education.

FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI — from epoch.ai
FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.

We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve.

Rising demand for AI courses in UK universities shows 453% growth as students adapt to an AI-driven job market — from edtechinnovationhub.com

The demand for artificial intelligence courses in UK universities has surged dramatically over the past five years, with enrollments increasing by 453%, according to a recent study by Currys, a UK tech retailer.

The study, which analyzed UK university admissions data and surveyed current students and recent graduates, reveals how the growing influence of AI is shaping students’ educational choices and career paths.

This growth reflects the broader trend of AI integration across industries, creating new opportunities while transforming traditional roles. With AI’s influence on career prospects rising, students and graduates are increasingly drawn to AI-related courses to stay competitive in a rapidly changing job market.

New Partnership Offers Online Tutoring in Michigan Schools [govtech.com]

On 11/13/2024, in collaboration, culture, education, education technology, K-12 related, leadership, learning ecosystem, Michigan, student-related, teachers, teaching online, United States, vendors, virtual K-12 schools, virtual tutoring, by Daniel Christian

New Partnership Offers Online Tutoring in Michigan Schools — from govtech.com via GSV
The online education nonprofit Michigan Virtual has partnered with Stride Tutoring to offer remote academic support for students in 700 school districts as part of a statewide push to reverse pandemic learning loss.

Online education provider Michigan Virtual is working with a Virginia-based online tutoring company to increase access to personalized academic support for Michigan students, according to a news release last month. The partnership is in line with a statewide push to reverse pandemic learning loss through high-impact tutoring.

Speaking of education — but expanding the scope of this posting to a global scale:

Kids worldwide face huge educational challenges. Is better leadership a solution? — from hechingerreport.org by Liz Willen
Amid dismal data, educators from around the world gather in Brazil and say they can rise to the challenges

While the conversation clearly focused on a continuing worldwide crisis in education, the UNESCO conference I participated in was different. It emphasized a topic of huge importance to improving student outcomes, and coincided with the release of a report detailing how effective leaders can make a big difference in the lives of children.

From DSC:
Leadership is important, for sure. But being a leader in education is very difficult these days — there are many different (and high) expectations and agendas being thrown your way from a variety of shareholders. But I do appreciate those leaders who are trying to create effective learning ecosystems out there!

One more for high school students considering going to college…

Wondering what life will be like at college? This tool can help — from hechingerreport.org by Olivia Sanchez and Noble Ingram
Our new guide answers your campus culture questions

It’s The End Of The Legal Industry As We Know It — from artificiallawyer.com by Richard Tromans

It’s the end of the legal industry as we know it and I feel fine. I really do.

The legal industry as we know it is already over. The seismic event that triggered this evolutionary shift happened in November 2022. There’s no going back to a pre-genAI world. Change, incremental or otherwise, will be unstoppable. The only question is: at what pace will this change happen?

It’s clear that substantive change at the heart of the legal economy may take a long time – and we should never underestimate the challenge of overturning decades of deeply embedded cultural practices – but, at least it has begun.

AI: The New Legal Powerhouse — Why Lawyers Should Befriend The Machine To Stay Ahead — from today.westlaw.com

(October 24, 2024) – Jeremy Glaser and Sharzaad Borna of Mintz discuss waves of change in the legal profession brought on by AI, in areas such as billing, the work of support staff and junior associates, and ethics.

The dual nature of AI — excitement and fear
AI is evolving at lightning speed, sparking both wonder and worry. As it transforms industries and our daily lives, we are caught between the thrill of innovation and the jitters of uncertainty. Will AI elevate the human experience or just leave us in the dust? How will it impact our careers, privacy and sense of security?

Just as we witnessed with the rise of the internet — and later, social media — AI is poised to redefine how we work and live, bringing a mix of optimism and apprehension. While we grapple with AI’s implications, our clients expect us to lead the charge in leveraging it for their benefit.

However, this shift also means more competition for fewer entry-level jobs. Law schools will play a key role in helping students become more marketable by offering courses on AI tools and technology. Graduates with AI literacy will have an edge over their peers, as firms increasingly value associates who can collaborate effectively with AI tools.

Will YOU use ChatGPT voice mode to lie to your family? Brainyacts #244 — from thebrainyacts.beehiiv.com by Sam Douthit, Aristotle Jones, and Derek Warzel.

Small Law’s Secret Weapon: AI Courtroom Mock Battles — this excerpt is by Brainacts author Josh Kubicki
As many of you know, this semester my law students have the opportunity to write the lead memo for this newsletter, each tackling issues that they believe are both timely and intriguing for our readers. This week’s essay presents a fascinating experiment conducted by three students who explored how small law firms might leverage ChatGPT in a safe, effective manner. They set up ChatGPT to simulate a mock courtroom, even assigning it the persona of a Seventh Circuit Court judge to stage a courtroom dialogue. It’s an insightful take on the how adaptable technology like ChatGPT can offer unique advantages to smaller practices. They share other ideas as well. Enjoy!

The following excerpt was written by Sam Douthit, Aristotle Jones, and Derek Warzel.

One exciting example is a “Courtroom Persona AI” tool, which could let solo practitioners simulate mock trials and practice arguments with AI that mimics specific judges, local courtroom customs, or procedural quirks. Small firms, with their deep understanding of local courts and judicial styles, could take full advantage of this tool to prepare more accurate and relevant arguments. Unlike big firms that have to spread resources across jurisdictions, solo and small firms could use this AI-driven feedback to tailor their strategies closely to local court dynamics, making their preparations sharper and more strategic. Plus, not all solo or small firms have someone to practice with or bounce their ideas off of. For these practitioners, it’s a chance to level up their trial preparation without needing large teams or costly mock trials, gaining a practical edge where it counts most.

Some lawyers have already started to test this out, like the mock trial tested out here. One oversimplified and quick way to try this out is using the ChatGPT app.

The Human in AI-Assisted Dispute Resolution — from jdsupra.com by Epiq

Accountability for Legal Outputs
AI is set to replace some of the dispute resolution work formerly done by lawyers. This work includes summarising documents, drafting legal contracts and filings, using generative AI to produce arbitration submissions for an oral hearing, and, in the not-too-distant future, ingesting transcripts from hearings and comparing them to the documentary record to spot inconsistencies.

As Pendell put it, “There’s quite a bit of lawyering going on there.” So, what’s left for humans?

The common feature in all those examples is that humans must make the judgement call. Lawyers won’t just turn over a first draft of an AI-generated contract or filing to another party or court. The driving factor is that law is still a regulated profession, and regulators will hold humans accountable.

The idea that young lawyers must do routine, menial work as a rite of passage needs to be updated. Today’s AI tools put lawyers at the top of an accountability chain, allowing them to practice law using judgement and strategy as they supervise the work of AI.

Small law firms embracing AI as they move away from hourly billing — from legalfutures.co.uk by Neil Rose

Small law firms have embraced artificial intelligence (AI), with document drafting or automation the most popular application, according to new research.

The survey also found expectations of a continued move away from hourly billing to fixed fees.

Legal technology provider Clio commissioned UK-specific research from Censuswide as an adjunct to its annual US-focused Legal Trends report, polling 500 solicitors, 82% of whom worked at firms with 20 lawyers or fewer.

Some 96% of them reported that their firms have adopted AI into their processes in some way – 56% of them said it was widespread or universal – while 62% anticipated an increase in AI usage over the next 12 months.

Below are several items from edutopia.org:

Doing the Best You Can With the Time You Have — by Jay Schauer
These strategies can help overwhelmed teachers prioritize tasks and find a balance between perfectionism and efficiency.
.

How to Support Teachers’ Emotional Health — by Hedreich Nichols
Emotional well-being plays a major role in teachers’ job satisfaction, and it’s essential that they have effective resources for support.

Teachers cannot be expected to teach SEL effectively without first being intentional about their own emotional health. If we want educators to guide students through emotional regulation, they must have the time, space, and support to do that work themselves. This goes beyond surface-level wellness initiatives—teachers need opportunities to reflect on their emotional triggers, manage their own stresses, and receive genuine support from their schools. Only when teachers are empowered to process their own emotional challenges can they truly foster a healthy social and emotional environment for their students.

In Praise of the Humble Document Camera — by Emily Rankin
Revisiting a simple edtech tool can help you introduce rigor and engage students more deeply in their lessons.

4 Ways to Use a Document Camera in Your Classroom— by Emily Rankin
If a document camera is gathering dust in a classroom, its lack of impact is probably linked to the user, not what the gadget is capable of. Case in point, I wasn’t using mine regularly because I didn’t know the value it could add to my teaching and learning. Here are some of the practices I now know are possible:

Guided practice. …
Assessment for learning. …
Sharing materials. …
Expanding teaching and learning possibilities.

Weighing Inquiry-Based Learning and Direct Instruction in Elementary Math — by Vivian Quan
Teachers can ask themselves three key questions in order to choose the most effective instructional approach to a topic.

One factor to consider is the subject. In math, students need opportunities to work on rich tasks and solve problems in ways that make sense to them. However, that doesn’t mean direct instruction is totally absent from math time. The questions below can guide you in deciding whether to use direct instruction, when it would be appropriate, and who else in the classroom you might involve.

Increasing Talk Time in World Language Classes — by Kate Good
Teachers can experiment with a variety of strategies to build and assess students’ ability to converse in the target language.

To capitalize on my students’ (seemingly inexhaustible) desire to chat, I work to increase student talk time in our Spanish immersion classes. I use several strategies to build and assess students’ oral language.

Is Generative AI and ChatGPT healthy for Students? — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Beyond Text Generation: How AI Ignites Student Discovery and Deep Thinking, according to firsthand experiences of Teachers and AI researchers like Nick Potkalitsky.

After two years of intensive experimentation with AI in education, I am witnessing something amazing unfolding before my eyes. While much of the world fixates on AI’s generative capabilities—its ability to create essays, stories, and code—my students have discovered something far more powerful: exploratory AI, a dynamic partner in investigation and critique that’s transforming how they think.
…
They’ve moved beyond the initial fascination with AI-generated content to something far more sophisticated: using AI as an exploratory tool for investigation, interrogation, and intellectual discovery.
…
Instead of the much-feared “shutdown” of critical thinking, we’re witnessing something extraordinary: the emergence of what I call “generative thinking”—a dynamic process where students learn to expand, reshape, and evolve their ideas through meaningful exploration with AI tools. Here I consciously reposition the term “generative” as a process of human origination, although one ultimately spurred on by machine input.

A Road Map for Leveraging AI at a Smaller Institution — from er.educause.edu by Dave Weil and Jill Forrester
Smaller institutions and others may not have the staffing and resources needed to explore and take advantage of developments in artificial intelligence (AI) on their campuses. This article provides a roadmap to help institutions with more limited resources advance AI use on their campuses.

The following activities can help smaller institutions better understand AI and lay a solid foundation that will allow them to benefit from it.

Understand the impact…
Understand the different types of AI tools…
Focus on institutional data and knowledge repositories…

Smaller institutions do not need to fear being left behind in the wake of rapid advancements in AI technologies and tools. By thinking intentionally about how AI will impact the institution, becoming familiar with the different types of AI tools, and establishing a strong data and analytics infrastructure, institutions can establish the groundwork for AI success. The five fundamental activities of coordinating, learning, planning and governing, implementing, and reviewing and refining can help smaller institutions make progress on their journey to use AI tools to gain efficiencies and improve students’ experiences and outcomes while keeping true to their institutional missions and values.

Also from Educause, see:

From Hype to Help: Making GenAI Useful for Enterprise Reporting and Data Analytics — from er.educause.edu by Craig Rudick

AI school opens – learners are not good or bad but fast and slow — from donaldclarkplanb.blogspot.com by Donald Clark

That is what they are doing here. Lesson plans focus on learners rather than the traditional teacher-centric model. Assessing prior strengths and weaknesses, personalising to focus more on weaknesses and less on things known or mastered. It’s adaptive, personalised learning. The idea that everyone should learn at the exactly same pace, within the same timescale is slightly ridiculous, ruled by the need for timetabling a one to many, classroom model.

For the first time in the history of our species we have technology that performs some of the tasks of teaching. We have reached a pivot point where this can be tried and tested. My feeling is that we’ll see a lot more of this, as parents and general teachers can delegate a lot of the exposition and teaching of the subject to the technology. We may just see a breakthrough that transforms education.

Agentic AI Named Top Tech Trend for 2025 — from campustechnology.com by David Ramel

Agentic AI will be the top tech trend for 2025, according to research firm Gartner. The term describes autonomous machine “agents” that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.
…
More realistic challenges that the firm has listed elsewhere include:

- Agentic AI proliferating without governance or tracking;
- Agentic AI making decisions that are not trustworthy;
- Agentic AI relying on low-quality data;
- Employee resistance; and
- Agentic-AI-driven cyberattacks enabling “smart malware.”

Also from campustechnology.com, see:

New OpenAI Swarm Framework Offers Experimental Tool for Multi-Agent AI Networks — by John K. Waters
OpenAI has introduced a new open source framework designed to simplify the development and management of multi-agent AI systems that can collaborate autonomously to perform tasks.

Three items from edcircuit.com:

All or nothing at Educause24 — from onedtech.philhillaa.com by Kevin Kelly
Looking for specific solutions at the conference exhibit hall, with an educator focus

Here are some notable trends:

Alignment with campus policies: …
Choose your own AI adventure: …
Integrate AI throughout a workflow: …
Moving from prompt engineering to bot building: …
More complex problem-solving: …

…
Not all AI news is good news. In particular, AI has exacerbated the problem of fraudulent enrollment–i.e., rogue actors who use fake or stolen identities with the intent of stealing financial aid funding with no intention of completing coursework.
…
The consequences are very real, including financial aid funding going to criminal enterprises, enrollment estimates getting dramatically skewed, and legitimate students being blocked from registering for classes that appear “full” due to large numbers of fraudulent enrollments.

How Legal Education Must Evolve In The Age Of AI [Mack & Borovick]

On 11/06/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, future, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, trends, United States, universities, by Daniel Christian

How Legal Education Must Evolve In The Age Of AI: Insights From An In-House Legal Innovator — from by abovethelaw.com Olga Mack
Traditional legal education has remained largely unchanged for decades, focusing heavily on theoretical knowledge and case law analysis.

As we stand on the brink of a new era defined by artificial intelligence (AI) and data-driven decision-making, the question arises: How should legal education adapt to prepare the next generation of lawyers for the challenges ahead?

Here are three unconventional, actionable insights from our conversation that highlight the need for a radical rethinking of legal education.

Integrate AI Education Into Every Aspect Of Legal Training…
Adopt A ‘Technology-Agnostic’ Approach To AI Training…
Redefine Success In Legal Education To Include Technological Proficiency…

Boosting Student Engagement with Interactive and Practical Teaching Methods — from campustechnology.com by Dr. Lucas Long

One of my biggest goals as an educator is to show students how the material they learn in class can be applied to real-world situations. In my finance courses, this often means taking what we’re learning about financial calculations and connecting it to decisions they’ll have to make as adults. For example, I’ve used real-life scenarios like buying a car with a loan, paying off student debt, saving for a wedding, or calculating mortgage payments for a future home purchase. I even use salary data to show students what they could realistically afford given average salaries after graduation, helping them relate to the financial decisions they will face after college.

These practical examples don’t just keep students engaged; they also demonstrate the immediate value of learning financial principles. I often hear students express frustration when they feel like they’re learning concepts that won’t apply to their lives. But when I use real scenarios and provide tools like financial calculators to show them exactly how they’ll use this knowledge in their future, their attitude changes. They become more motivated to engage with the material because they see its relevance beyond the classroom.

? Introducing ChatGPT search ?

ChatGPT can now search the web in a much better way than before so you get fast, timely answers with links to relevant web sources.https://t.co/7yilNgqH9T pic.twitter.com/z8mJWS8J9c

— OpenAI (@OpenAI) October 31, 2024

ChatGPT Search just dropped, so of course, Google is dead. (Just kidding… probably ?)

But is it any good?

A ChatGPT Search vs. Perplexity vs. Google ?:

— Nathan Lands — Lore.com (@NathanLands) November 1, 2024

Google’s worst nightmare just became reality — from aidisruptor.ai by Alex McFarland
OpenAI just launched an all-out assault on traditional search engines.

Google’s worst nightmare just became reality. OpenAI didn’t just add search to ChatGPT – they’ve launched an all-out assault on traditional search engines.

It’s the beginning of the end for search as we know it.

Let’s be clear about what’s happening: OpenAI is fundamentally changing how we’ll interact with information online. While Google has spent 25 years optimizing for ad revenue and delivering pages of blue links, OpenAI is building what users actually need – instant, synthesized answers from current sources.

The rollout is calculated and aggressive: ChatGPT Plus and Team subscribers get immediate access, followed by Enterprise and Education users in weeks, and free users in the coming months. This staged approach is about systematically dismantling Google’s search dominance.

Big day for desktops.

Advanced Voice is now available in the macOS and Windows desktop apps.https://t.co/mv4ACwIhzA pic.twitter.com/HbwXbN9NkD

— OpenAI (@OpenAI) October 30, 2024

We’re starting to roll out the ability to search through your chat history on ChatGPT web.

Now you can quickly & easily bring up a chat to reference, or pick up a chat where you left off. pic.twitter.com/YVAOUpFvzJ

— OpenAI (@OpenAI) October 29, 2024

Open for AI: India Tech Leaders Build AI Factories for Economic Transformation — from blogs.nvidia.com
Yotta Data Services, Tata Communications, E2E Networks and Netweb are among the providers building and offering NVIDIA-accelerated infrastructure and software, with deployments expected to double by year’s end.

Two items re: enrollment data for higher education

On 11/01/2024, in business side of he, colleges, community colleges, funding / grants, higher education, legislatures / government / legal, parents/guardians, student-related, United States, universities, by Daniel Christian

Undergraduate enrollment rises 3% despite drop in first-year students, early data shows — from highereddive.com by Laura Spitalniak
Headcounts declined among students attending college directly after high school, the National Student Clearinghouse Research Center found.

Dive Brief:

Undergraduate enrollment rose this fall for the second year in a row, up 3% compared to similar early data from fall 2023, according to preliminary figures released Wednesday by the National Student Clearinghouse Research Center.
Enrollment jumped 1.9% in bachelor’s degree programs and 4.3% in those for associate degrees. While all credential types saw gains, the number of undergraduate certificate seekers increased the most, at 7.3%.
However, enrollment among first-year students shrank 5%, the first dip since the decline seen at the start of the pandemic. Declining enrollment among 18-year-olds — a proxy for students who attend college directly after high school — accounted for most of that drop, the clearinghouse said.

What preliminary enrollment data from fall 2024 tells us — from highereddive.com by Laura Spitalniak
Higher education experts broke down some trends in the early data and what may have prompted the decline in first-year students.

Higher education news tends to be a mixed bag, and the most recent enrollment report from the National Student Clearinghouse Research Center is no exception.

Last week, the clearinghouse released preliminary findings for fall 2024 and found that undergraduate enrollment rose 3% compared with early data from last year. On the other hand, it showed enrollment among first-year students dropped 5% compared with the year before, the first decline since the drop at the start of the pandemic.

The youngest adults, 18-year-olds, drove a majority of the decrease, according to the clearinghouse. Its researchers used this group as a proxy for students who enroll in postsecondary education directly after they graduate high school, it said.

“AI Tutors Double Rates of Learning in Less Learning Time” [Hardman] + other items re: AI in our learning ecosystems

On 11/01/2024, in Artificial Intelligence/Agents/LLMs/and Related, CMS/LMS, colleges, community colleges, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, platforms, podcasting, United States, universities, vendors, by Daniel Christian

AI Tutors Double Rates of Learning in Less Learning Time — by drphilippahardman.substack.com Dr. Philippa Hardman
Inside Harvard’s new groundbreaking study

Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.

If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.

That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.

Three Quick Examples of Teaching with and about Generative AI — from derekbruff.org Derek Bruff

Text-to-Podcast.
Assigning Students to Groups.
AI Acceptable Use Scale.

Also from Derek’s blog, see:

From Mike Sharples on LinkedIn:

ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan
How and why to try the new Advanced Voice Mode

7 surprisingly practical ways to use voice AI
Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.

Get a virtual museum tour. …
Chat with historical figures….
Practice languages. …
Explore books. …
Others…

Though not AI-related, this is along the lines of edtech:

MoodleMoot Global 24 Conference Notes — from onedtech.philhillaa.com by Glenda Morgan
A first look at Moodle under new leadership

Here’s the link to access it: https://t.co/kHq0S2r4aD

It’s only available in the US at the moment, but it works with a VPN.

Truly the best tool for learning a new subject I’ve tried so far.

— Paul Couvert (@itsPaulAi) October 31, 2024

…which links to:

Some dangers of running AI’s that control a computer or a web browser; + other AI related items

On 10/30/2024, in Apple, Artificial Intelligence/Agents/LLMs/and Related, business, computer science, emerging technologies, Europe, Google, Microsoft, NVIDIA, Open AI, platforms, programming, the downsides of how people use tech, tools, trends, United States, vendors, workplace, by Daniel Christian

Claude can now write and run code.

We’ve added a new analysis tool. The tool helps Claude respond with mathematically precise and reproducible answers. You can then create interactive data visualizations with Artifacts.

Enable the feature preview: https://t.co/bJ8BjBT6zG. pic.twitter.com/Jq5xOHBmiR

— Anthropic (@AnthropicAI) October 24, 2024

Along these same lines, see:

Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

We’re also introducing a groundbreaking new capability in public beta: computer use. Available today on the API, developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta. At this stage, it is still experimental—at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers, and expect the capability to improve rapidly over time.

ZombAIs: From Prompt Injection to C2 with Claude Computer Use — from embracethered.com by Johann Rehberger

A few days ago, Anthropic released Claude Computer Use, which is a model + code that allows Claude to control a computer. It takes screenshots to make decisions, can run bash commands and so forth.

It’s cool, but obviously very dangerous because of prompt injection. Claude Computer Use enables AI to run commands on machines autonomously, posing severe risks if exploited via prompt injection.

This blog post demonstrates that it’s possible to leverage prompt injection to achieve, old school, command and control (C2) when giving novel AI systems access to computers.
…
We discussed one way to get malware onto a Claude Computer Use host via prompt injection. There are countless others, like another way is to have Claude write the malware from scratch and compile it. Yes, it can write C code, compile and run it. There are many other options.

TrustNoAI.

And again, remember do not run unauthorized code on systems that you do not own or are authorized to operate on.

Also relevant here, see:

Perplexity Grows, GPT Traffic Surges, Gamma Dominates AI Presentations – The AI for Work Top 100: October 2024 — from flexos.work by Daan van Rossum
Perplexity continues to gain users despite recent controversies. Five out of six GPTs see traffic boosts. This month’s highest gainers including Gamma, Blackbox, Runway, and more.

Growing Up: Navigating Generative AI’s Early Years – AI Adoption Report — from ai.wharton.upenn.edu by Jeremy Korst, Stefano Puntoni, & Mary Purk

From a survey with more than 800 senior business leaders, this report’s findings indicate that weekly usage of Gen AI has nearly doubled from 37% in 2023 to 72% in 2024, with significant growth in previously slower-adopting departments like Marketing and HR. Despite this increased usage, businesses still face challenges in determining the full impact and ROI of Gen AI. Sentiment reports indicate leaders have shifted from feelings of “curiosity” and “amazement” to more positive sentiments like “pleased” and “excited,” and concerns about AI replacing jobs have softened. Participants were full-time employees working in large commercial organizations with 1,000 or more employees.

Apple study exposes deep cracks in LLMs’ “reasoning” capabilities — from arstechnica.com by Kyle Orland
Irrelevant red herrings lead to “catastrophic” failure of logical inference.

For a while now, companies like OpenAI and Google have been touting advanced “reasoning” capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from six Apple engineers shows that the mathematical “reasoning” displayed by advanced large language models can be extremely brittle and unreliable in the face of seemingly trivial changes to common benchmark problems.

The fragility highlighted in these new results helps support previous research suggesting that LLMs use of probabilistic pattern matching is missing the formal understanding of underlying concepts needed for truly reliable mathematical reasoning capabilities. “Current LLMs are not capable of genuine logical reasoning,” the researchers hypothesize based on these results. “Instead, they attempt to replicate the reasoning steps observed in their training data.”

Google CEO says more than a quarter of the company’s new code is created by AI — from businessinsider.in by Hugh Langley

More than a quarter of new code at Google is made by AI and then checked by employees.
Google is doubling down on AI internally to make its business more efficient.

Top Generative AI Chatbots by Market Share – October 2024

Bringing developer choice to Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview — from github.blog

We are bringing developer choice to GitHub Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview and o1-mini. These new models will be rolling out—first in Copilot Chat, with OpenAI o1-preview and o1-mini available now, Claude 3.5 Sonnet rolling out progressively over the next week, and Google’s Gemini 1.5 Pro in the coming weeks. From Copilot Workspace to multi-file editing to code review, security autofix, and the CLI, we will bring multi-model choice across many of GitHub Copilot’s surface areas and functions soon.

2025 EDUCAUSE Top 10: Restoring Trust

On 10/29/2024, in adjunct faculty, business side of he, change, colleges, community colleges, higher education, IT in HE, leadership, strategy, United States, universities, by Daniel Christian

2025 EDUCAUSE Top 10: Restoring Trust — from educause.edu

Higher education has a trust problem. In the past ten years, the share of Americans who are confident in higher education has dropped from 57 percent to 36 percent.

Colleges and universities need to show that they understand and care about students, faculty, staff, and community members, AND they need to work efficiently and effectively.

Technology leaders can help. The 2025 EDUCAUSE Top 10 describes how higher education technology and data leaders and professionals can help to restore trust in the sector by building competent and caring institutions and, through radical collaboration, leverage the fulcrum of leadership to maintain balance between the two.

.

The Uberfication of Higher Ed [Ubell]

On 10/29/2024, in adjunct faculty, business side of he, career development, colleges, community colleges, faculty, higher education, learning ecosystem, teaching & learning, United States, universities, by Daniel Christian

The Uberfication of Higher Ed — from evolllution.com by Robert Ubell | Vice Dean Emeritus of Online Learning in the School of Engineering, New York University
As the world of work increasingly relies on the gig economy, higher ed is no different. Many institutions seek to drive down labor costs by hiring contingent works, thereby leaving many faculty in a precarious position and driving down the quality of education.

While some of us are aware that higher ed has been steadily moving away from employing mostly full-time, tenured and tenure-track faculty, replacing them with a part-time, contingent academic workforce, the latest AAUP report issued this summer shows the trend is accelerating. Precarious college teachers have increased by nearly 300,000 over the last decade, as conventional faculty employment stays pretty much flat. It’s part of a national trend in the wider economy that replaces permanent workers with lower paid, contingent staff—members of what we now call the gig economy.

The wide disparity is among the most glaring dysfunctions—along with vast student debt, falling enrollment, rising tuition and other dangers afflicting higher education—but it’s the least acknowledged. Rarely, if ever, does it take its place among the most troubling ails of academic life. It’s a silent disease, its symptoms largely ignored for over half a century.

Do families who send their kids to college, paying increasingly stiff tuition, realize that most of the faculty at our universities are as precarious as Uber drivers?
…
Everyone at the table was taken aback, totally surprised, a sign—even if anecdotal—that this dirty secret is pretty safe. Mass participation of contingent faculty at our universities remains largely obscure, wrapped in a climate of silence, with adjunct faculty perpetuating the quiet by leaving their students mostly uninformed about their working conditions.

Learning Ecosystems

Integrating Active Learning in Large STEM Lectures [Pinto]

2025 EDUCAUSE Top 10: Restoring Trust

The Uberfication of Higher Ed [Ubell]

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