A three-headed monster — from rtalbert.org by Robert Talbert

The more I look around higher education, the more clearly it seems to me that there are three practices which we carry out every day – which seemed baked right into the very DNA of our current system of higher education – that are inimical to the actual purpose of higher education. Those practices are:

  • Lecturing,
  • Traditional grading, and
  • Student evaluations of teaching.

Before you get upset, let me say: I don’t think any of these practices is “evil”, and my understanding of the history of education says that all three were developed with good intentions, for legitimate reasons, to solve real problems. (With the possible exception of student evaluations of teaching – I’m working on trying to figure out where these came from and why they were invented.) But regardless of the background and intentions, they have taken over higher education like an invasive species.


Americans Value Good Teaching. Do Colleges? — from chronicle.com by Beth McMurtrie

“If you looked at the average person outside of higher education and said, you know, ‘We’ve created a culture in higher ed where our core thing we do isn’t valued,’ that makes absolutely no sense,” says Amy Hawkins, assistant provost for teaching and academic leadership at the University of Central Arkansas, which has been working to change that dynamic on campus. “It would be like saying in a company, ‘Well, customer service isn’t really a big deal to us. We’re about product development. We treat our customers like crap.’ I mean. That’s nonsensical.”

Does the public know this? And does it care?

Surveys show that what the public values most about higher education is good teaching and meaningful learning. 


What makes an effective microcredential programme? — from by Temesgen Kifle
Short, flexible and skills-focused, microcredentials must balance the needs of students and industry. Here are tips on how to develop courses that achieve this

Here are tips for higher education institutions (HEIs) to consider when creating and delivering microcredential programmes so they meet the needs of all stakeholders.

  1. Collaborate with accrediting bodies, employers and other HEIs
  2. Develop curricula with specific learning outcomes
  3. Review and update programmes regularly
  4. …and others mentioned here

An introduction to creating escape rooms — from timeshighereducation.com by Bernardo Pereira Nunes
Bernardo Pereira Nunes offers tips on how to get started on an escape room experience that will boost students’ teamwork, leadership, communication and problem-solving skills


Are you saving enough for college? Here’s what to know — from npr.org by Cory Turner

But I’ve also been hearing one intriguing question, over and over, that isn’t directly about loans or repayment, so much as it is about how to avoid them entirely. And it’s coming from parents of kids who’ve not yet traded in their sticker collections for student loans.

“I’ve got one little guy who’s about six years old,” Caleb Queern, of Austin, Texas, told me recently. “And my questions are, number one: How much should we be saving between now and the time my little guy is ready for college? And number two: What’s the best way to save for it?”


The Power of New Value Networks in Revolutionizing Education Systems — from michaelbhorn.substack.com by Michael B. Horn

Is school transformation possible without replacing the existing education system? In addition to Tom, Kelly Young of Education Reimagined joined me to argue that it’s not. In an educational landscape that constantly seeks marginal improvements, my guests spoke to the importance of embracing new value networks that support innovative approaches to learning. The conversation touched on the issue of programs that remain niche solutions, rather than robust, learner-centered alternatives. In exploring the concept of value networks, they both challenged the notion of transforming individual schools or districts alone. They argue for the creation of a new value network to truly revolutionize the education system. Of course, they admit that achieving this is no small feat, as it requires a paradigm shift in mindset and a careful balance between innovation and existing structures. In this conversation, we wrestle with the full implications of their findings and more.

 

Four Scenarios for the Future of Legal Education — from denniskennedy.com by Dennis Kennedy

Scenario 1: Fully Digitalized Law School
Scenario 2: Blended Law School Experience
Scenario 3: Specialized Legal Education
Scenario 4: Decentralized Legal Education

In the decentralized legal education scenario, the traditional model of law schools is disrupted by the emergence of alternative education platforms and micro-credentialing. The concept of a law degree is replaced by a more flexible and personalized approach to legal education. Students can choose from an array of legal courses offered by various providers, including universities, law firms, online platforms, and even government agencies.

 

Transforming Legal Landscape: How AI is Becoming The Ultimate Sidekick for Lawyers — from aithority.com

A survey by the American Bar Association found that 47% of lawyers believed that AI-powered chatbots could be a valuable resource for individuals seeking legal advice.

AI is more than just a buzzword—it has the power to automate tasks, analyze massive amounts of data, and provide valuable insights, revolutionizing the way law practices operate. In this blog, we’ll explore the top advantages and disadvantages of using AI in law practices, backed up by real-world examples that showcase its impact.

The Evolution of Legal Tech: Implications and Innovations — from einnews.com by Policy2050.com
A Policy2050.com analysis encapsulates lawyers’ perspectives on digital documents, Legal Tech software, Big Tech’s influence, and the promises and perils of AI.

SAN FRANCISCO, CALIFORNIA, USA, September 10, 2023/EINPresswire.com/ — Tech-focused research and strategy firm Policy2050.com has released a new whitepaper titled “The Virtual Verdict: Evolution of Legal Tech in 2023” in its open-access Quick Insights category.

A vast global population remains underserved in terms of civil legal needs. Legal Tech could bridge this gap, making law firms more efficient and legal services more accessible. But might AI be something of a Pandora’s box, especially given the complexities of justice?

Legal Tech Meets Recruitment: Navigating Tomorrow’s Legal Landscape — from abovethelaw.com by haistack.ai
Discover how the synergy of legal tech and recruitment expertise is shaping the future of legal operations, with insights from Lateral Link and haistack.ai.

Here’s where automation stands as a beacon. The days of tedious document reviews and prolonged recruitment processes are being overshadowed by platforms like haistack.ai. Such tools aren’t mere conveniences; they signify a strategic pivot in legal practices, intertwining data analytics and deep learning to yield unprecedented outcomes.

Legal Tech Artificial Intelligence Market with New Technology Estimate to 2031 — from benzinga.com by The Express Wire

In this report analysis, we thoroughly examine the Legal Tech Artificial Intelligence Market by exploring it into different segments, including size, share, and end-users etc. Furthermore, we present forecasts covering the period from 2023 to 2031. Additionally, we provide insights into the current status of the Compound Annual Growth Rate (CAGR) for the upcoming period, and we shine a spotlight on the top players in the industry.

 

 

Teaching: These office hours offer more than academic support — from chronicle.com by Beckie Supiano

Why do so many students have the impression that they should attend office hours only if they’ve got a question? Here’s my hunch: Well-meaning, supportive professors mention their office hours at various points throughout the course: If you have questions about fill-in-the-blank, come to my office hours. The professors mean, “I am here to help! Come talk to me.” Students hear: “If you have a question.”

It’s a frustrating misunderstanding, because it contributes to the big problem my article focuses on: Many students miss out on the support professors stand to provide.

‘Adjunct Faculty 101’
“Sessions offered this year included ‘An Orientation to the Canvas LMS,’ ‘The First Day of Class,’ ‘Creating Student-Centered Course Materials,’ ‘Classroom-Management Tips,’ ‘Academic-Integrity Tips and Processes,’ ‘An Introduction to Our Tutoring Services and Writing Center,’ ‘Writing Across the Disciplines With AI,’ and more.”

From DSC:
I like the idea of using “office hours” for building relationships, helping students with their future career decisions, building broader understanding, ongoing mentoring, and for developing potential networking opportunities.

 

Start these 3 classroom habits ASAP! — from etrievalpractice.org by Pooja K. Agarwal, Ph.D.

Habit #2: Engage students in a brain dump or two things as an entry ticket or exit ticket. Spend one minute or less having students write down everything (or just two things) they remember from class. The key: Don’t grade it! Keep retrieval practice no-stakes to emphasize it’s a learning strategy, not an assessment strategy.

Teaching from the heart in 13 steps — from timeshighereducation.com by Beiting He
Engaging your students through empathy requires teachers to share their own stories and vulnerabilities and foster a safe space for learning. Here, Beiting He offers 13 ways to create a caring classroom

Move student communication from passive to active using ‘I like, I wish, I wonder’ — from timeshighereducation.com by Rebeca Elizabeth Alvarado Ramírez
Rebeca Elizabeth Alvarado Ramírez introduces a methodology that encourages effective communication in digital learning processes

In summary, “I wish” is about proposing positive changes and improvements, while “I wonder” is about asking thoughtful questions to gain insight and foster meaningful conversations within the team.

 

From DSC:
Yesterday, I posted the item about Google’s NotebookLM research tool. Excerpt:

What if you could have a conversation with your notes? That question has consumed a corner of the internet recently, as companies like Dropbox, Box, Notion, and others have built generative AI tools that let you interact with and create new things from the data you already have in their systems.

Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes.

That got me to thinking…

What if the presenter/teacher/professor/trainer/preacher provided a set of notes for the AI to compare to the readers’ notes? 

That way, the AI could see the discrepancies between what the presenter wanted their audience to learn/hear and what was actually being learned/heard. In a sort of digital Socratic Method, the AI could then generate some leading questions to get the audience member to check their thinking/understanding of the topic.

The end result would be that the main points were properly communicated/learned/received.

 

Google’s AI-powered note-taking app is the messy beginning of something great — from theverge.com by David Pierce; via AI Insider
NotebookLM is a neat research tool with some big ideas. It’s still rough and new, but it feels like Google is onto something.

Excerpts (emphasis DSC):

What if you could have a conversation with your notes? That question has consumed a corner of the internet recently, as companies like Dropbox, Box, Notion, and others have built generative AI tools that let you interact with and create new things from the data you already have in their systems.

Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes. 

Right now, it’s really just a prototype, but a small team inside the company has been trying to figure out what an AI notebook might look like.

 

***
From DSC:
Having come from various other areas of higher education back in 2017, I was *amazed* to see *how far behind* legal education was from the rest of higher ed. And this is directly tied to what the American Bar Association allows (or doesn’t allow). The ABA has done a terrible job of helping Americans deal with today’s pace of change.

 


Speaking of technology within the legal world, also relevant/see:

How in-house legal professionals can embrace technology — from legaldive.com by Lyle Moran
Colin Levy says generative AI tools, as well as well-known legacy products, can help lawyers and other legal department staff enhance their work.

 

This is how the billable hour dies — from jordanfurlong.substack.com by Jordan Furlong
Let me tell you a story about the AI-driven evolution of pricing in the legal market. It might not happen for many years. It might happen much sooner. But when it does, I expect it’ll look like this.

So assemble some of your most creative, forward-thinking people, and ask them: “If the firm could no longer bill our work by the hour, how could we turn a profit?” Give them this article from 2012 to get them started. Show them the firm’s financials for the last 24 months, so that they know how you’re making money now. Have them speak with clients, technology experts, and pricing consultants for insights — might as well get them to ask ChatGPT, too. The answers you get will form the basis of your future strategic plans.

 

Legal Innovators Assemble! Great Speakers for London in November — from artificiallawyer.com

The Legal Innovators UK conference will take place on 8 + 9 November, and we are already assembling a fantastic group of speakers from across the legal innovation ecosystem.

The two-day event comes at a time of potentially massive change for the legal market and we will be bringing you engaging panels and presentations where leading experts really dig into the issues of the day, from generative AI, to the evolution of ALSPs, to law firm innovation teams in this new era for legal tech, to how empowered legal ops groups and pioneering GCs are taking inhouse teams in new directions.

Virtual law firm Scale absorbs Texas IP firm in first acquisition — from reuters.com by Sara Merken

Aug 1 (Reuters) – Virtual law firm Scale said [on 8/1/23] that it has brought on small Texas intellectual property firm Creedon in the first of what it hopes may be a series of acquisitions.

James Creedon and two other attorneys from his firm have joined Scale, a Silicon Valley-founded law firm where lawyers work entirely remotely.

Scale, which debuted in 2020, is among so-called “distributed” or virtual firms that use technology to operate without physical offices and embrace a non-traditional law firm business model.

The lawyers are leaning into AI — from alexofftherecord.com by Alex Su
Despite all the gloom and doom, corporate legal and law firms are both embracing generative AI much more quickly than previous technologies

When I first heard law firms announcing that they were adopting AI, I was skeptical. Anyone can announce a partnership or selection/piloting of an AI vendor. It’s good PR, and doesn’t mean that the firm has truly embraced AI. But when they create their own GPT-powered tool—that feels different. Setting aside whether it’s a good idea to build your own vs. buy, it certainly feels like a real investment, especially since the firms are dedicating significant internal resources to it.

Today I’ll discuss why generative AI is diffusing across law firms much more quickly than expected.

Leading your law firm into the Gen AI Era — from jordanfurlong.substack.com by Jordan Furlong
Lawyers are embracing its promise. Clients want to reap its rewards. Here are three ways your firm can respond to the immense disruption and extraordinary opportunity of Generative AI.

  1. Move fast to implement project and client pricing.
  2. Prepare to hire fewer associates and to rethink partnership.
  3. Establish a fresh approach to developing future law firm leaders.


Above resource via BrainyActs — who mentioned that the QR code takes you to this survey. Just 3 simple questions.

Q1: Agree/Disagree: Artificial Intelligence (AI) won’t replace lawyers anytime soon. Lawyers who use AI will replace lawyers who do not use AI.

Q2: Agree/Disagree: Non-lawyers should be allowed to have an ownership interest in a law firm.

Q3 Agree/Disagree: Trained non-lawyers should be allowed to advocate for parties in lower courts.


Generative AI In The Law: Where Could This All Be Headed? — from abovethelaw.com
Findings from a new Wolters Kluwer / Above the Law survey.

To get a sense of what the legal industry predicts, Above the Law and Wolters Kluwer fielded a survey of 275 professionals from March to mid-April 2023. We asked about AI’s potential effects in varied areas of the legal industry: Will it differentiate successful firms? Which practice areas could be affected the most? Could even high-level work be transformed?

 

Will one of our future learning ecosystems look like a Discord server type of service? [Christian]

 

The Changing Landscape of Online Education (CHLOE), 2023
Student Demand Moves Higher Ed Toward a Multi-Modal Future

The majority of survey participants report increased student demand for online and hybrid learning juxtaposed with decreased demand for face-to-face courses and programs. Most participants also say that their institutions are aligning or working to align their strategic priorities to meet this demand. Notable findings from the 50+-page report include:

  • Face-to-Face enrollment is stagnant or declining.
  • Online and hybrid enrollment is growing.
  • Institutions are quickly aligning their strategic priorities to meet online/hybrid student demand.
  • “Quiet” quality assurance.

 

What value do you offer? — from linkedin.com by Dan Fitzpatrick — The AI Educator

Excerpt (emphasis DSC): 

So, as educators, mentors, and guides to our future generations, we must ask ourselves three pivotal questions:

  1. What value do we offer to our students?
  2. What value will they need to offer to the world?
  3. How are we preparing them to offer that value?

The answers to these questions are crucial, and they will redefine the trajectory of our education system.

We need to create an environment that encourages curiosity, embraces failure as a learning opportunity, and celebrates diversity. We need to teach our students how to learn, how to ask the right questions, and how to think for themselves.


AI 101 for Teachers



5 Little-Known ChatGPT Prompts to Learn Anything Faster — from medium.com by Eva Keiffenheim
Including templates, you can copy.

Leveraging ChatGPT for learning is the most meaningful skill this year for lifelong learners. But it’s too hard to find resources to master it.

As a learning science nerd, I’ve explored hundreds of prompts over the past months. Most of the advice doesn’t go beyond text summaries and multiple-choice testing.

That’s why I’ve created this article — it merges learning science with prompt writing to help you learn anything faster.


From DSC:
This is a very nice, clearly illustrated, free video to get started with the Midjourney (text-to-image) app. Nice work Dan!

Also see Dan’s
AI Generated Immersive Learning Series


What is Academic Integrity in the Era of Generative Artificial intelligence? — from silverliningforlearning.org by Chris Dede

In the new-normal of generative AI, how does one articulate the value of academic integrity? This blog presents my current response in about 2,500 words; a complete answer could fill a sizable book.

Massive amounts of misinformation are disseminated about generative AI, so the first part of my discussion clarifies what large language models (Chat-GPT and its counterparts) can currently do and what they cannot accomplish at this point in time. The second part describes ways in which generative AI can be misused as a means of learning; unfortunately, many people are now advocating for these mistaken applications to education. The third part describes ways in which large language models (LLM), used well, may substantially improve learning and education. I close with a plea for a robust, informed public discussion about these topics and issues.


Dr. Chris Dede and the Necessity of Training Students and Faculty to Improve Their Human Judgment and Work Properly with AIs — from stefanbauschard.substack.com by Stefan Bauschard
We need to stop using test-driven curriculums that train students to listen and to compete against machines, a competition they cannot win. Instead, we need to help them augment their Judgment.


The Creative Ways Teachers Are Using ChatGPT in the Classroom — from time.com by Olivia B. Waxman

Many of the more than a dozen teachers TIME interviewed for this story argue that the way to get kids to care is to proactively use ChatGPT in the classroom.

Some of those creative ideas are already in effect at Peninsula High School in Gig Harbor, about an hour from Seattle. In Erin Rossing’s precalculus class, a student got ChatGPT to generate a rap about vectors and trigonometry in the style of Kanye West, while geometry students used the program to write mathematical proofs in the style of raps, which they performed in a classroom competition. In Kara Beloate’s English-Language Arts class, she allowed students reading Shakespeare’s Othello to use ChatGPT to translate lines into modern English to help them understand the text, so that they could spend class time discussing the plot and themes.


AI in Higher Education: Aiding Students’ Academic Journey — from td.org by J. Chris Brown

Topics/sections include:

Automatic Grading and Assessment
AI-Assisted Student Support Services
Intelligent Tutoring Systems
AI Can Help Both Students and Teachers


Shockwaves & Innovations: How Nations Worldwide Are Dealing with AI in Education — from the74million.org by Robin Lake
Lake: Other countries are quickly adopting artificial intelligence in schools. Lessons from Singapore, South Korea, India, China, Finland and Japan.

I found that other developed countries share concerns about students cheating but are moving quickly to use AI to personalize education, enhance language lessons and help teachers with mundane tasks, such as grading. Some of these countries are in the early stages of training teachers to use AI and developing curriculum standards for what students should know and be able to do with the technology.

Several countries began positioning themselves several years ago to invest in AI in education in order to compete in the fourth industrial revolution.


AI in Education — from educationnext.org by John Bailey
The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise

In the realm of education, this technology will influence how students learn, how teachers work, and ultimately how we structure our education system. Some educators and leaders look forward to these changes with great enthusiasm. Sal Kahn, founder of Khan Academy, went so far as to say in a TED talk that AI has the potential to effect “probably the biggest positive transformation that education has ever seen.” But others warn that AI will enable the spread of misinformation, facilitate cheating in school and college, kill whatever vestiges of individual privacy remain, and cause massive job loss. The challenge is to harness the positive potential while avoiding or mitigating the harm.


Generative AI and education futures — from ucl.ac.uk
Video highlights from Professor Mike Sharples’ keynote address at the 2023 UCL Education Conference, which explored opportunities to prosper with AI as a part of education.


Bringing AI Literacy to High Schools — from by Nikki Goth Itoi
Stanford education researchers collaborated with teachers to develop classroom-ready AI resources for high school instructors across subject areas.

To address these two imperatives, all high schools need access to basic AI tools and training. Yet the reality is that many underserved schools in low-income areas lack the bandwidth, skills, and confidence to guide their students through an AI-powered world. And if the pattern continues, AI will only worsen existing inequities. With this concern top of mind plus initial funding from the McCoy Ethics Center, Lee began recruiting some graduate students and high school teachers to explore how to give more people equal footing in the AI space.


 

‘A second prison’: People face hidden dead ends when they pursue a range of careers post-incarceration — from hechingerreport.org by Tara Garcia Mathewson
Nearly 14,000 laws and regulations restrict people who have been convicted or even just arrested from getting professional licenses

For Wiese, it was all a big, expensive gamble — and, in one form or another, is one millions of people with criminal records take every year as they pursue education and workforce training on their way to jobs that require a license. Yet that effort might be wasted thanks to the nearly 14,000 laws and regulations that can restrict individuals with arrest and conviction histories from getting licensed in a given field.

Jesse Wiese served seven years in prison, but says that the barriers he found to working after leaving amount to a “second prison.” Credit: Noah Willman for the Hechinger Report

 
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