Justice Through Code — from centerforjustice.columbia.edu by ; via Matt Tower
Unlocking Potential for the 80+ Million Americans with a Conviction History.

Excerpt:

A world where every person, regardless of past convictions or incarceration can access life-sustaining and meaningful careers.

We are working to make this vision a reality through our technical and professional career development accelerators.

Our Mission: We educate and nurture talent with conviction histories to create a more just and diverse workforce. We increase workplace equity through partnerships that educate and prepare teams to create supportive pathways to careers that end the cycle of poverty that contributes to incarceration and recidivism.

JTC is jointly offered by Columbia University’s Center for Justice, and the Tamer Center for Social Enterprise at the Columbia Business School.

 

The future of education in a world of AI — from oneusefulthing.org by Ethan Mollick
A positive vision for the transformation to come

Excerpt:

Imagine introducing high-quality AI tutors into the flipped classroom model. These AI-powered systems have the potential to significantly enhance the learning experience for students and make flipped classrooms even more effective. They provide personalized learning, where AI tutors can tailor instruction to each student’s unique needs while continually adjusting content based on performance. This means that students can engage with the content at home more effectively, ensuring they come to class better prepared and ready to dive into hands-on activities or discussions.

With AI tutors taking care of some of the content delivery outside of class, teachers can devote more time to fostering meaningful interactions with their students during class. They can also use insights from the AI tutors to identify areas where students might need extra support or guidance, enabling them to provide more personalized and effective instruction. And with AI assistance, they can design better active learning opportunities in class to make sure learnings stick.


Also relevant/see:

ChatGPT is going to change education, not destroy it — from technologyreview.com by Will Douglas Heaven
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.

Advanced chatbots could be used as powerful classroom aids that make lessons more interactive, teach students media literacy, generate personalized lesson plans, save teachers time on admin, and more.

Will ChatGPT Change How Professors Assess Learning? — from chronicle.com by Becky Supiano
It won’t be easy without their colleges’ support.

What the Past Can Teach Us About the Future of AI and Education — from campustechnology.com by Dr. David Wiley
Current attitudes toward generative AI hearken back to early skepticism about the impact of the internet on education. Both then and now, technology has created challenges but also opportunities that can’t be ignored.


 

How Easy Is It/Will It Be to Use AI to Design a Course? — from wallyboston.com by Wally Boston

Excerpt:

Last week I received a text message from a friend to check out a March 29th Campus Technology article about French AI startup, Nolej. Nolej (pronounced “Knowledge”) has developed an OpenAI-based instructional content generator for educators called NolejAI.

Access to NolejAI is through a browser. Users can upload video, audio, text documents, or a website url. NolejAI will generate an interactive micro-learning package which is a standalone digital lesson including content transcript, summaries, a glossary of terms, flashcards, and quizzes. All the lesson materials generated is based upon the uploaded materials.


From DSC:
I wonder if this will turn out to be the case:

I am sure it’s only a matter of time before NolejAI or another product becomes capable of generating a standard three credit hour college course. Whether that is six months or two years, it’s likely sooner than we think.


Also relevant/see:

The Ultimate 100 AI Tools

The Ultimate 100 AI Tools -- as of 4-12-23


 

Fastcase, vLex merger accelerates investment into legal AI — from reuters.com by Sara Merken

Excerpts (emphasis DSC):

(Reuters) – As artificial intelligence pushes deeper into the legal industry, Fastcase and vLex are merging in a deal the legal research companies said [on 4/4/23] will speed up the creation of AI tools for lawyers.

The merger creates a law library that is “the biggest legal data corpus ever assembled,” the companies said. The new company will have more than one billion legal documents from more than 100 countries, including judicial opinions, statutes, regulations, briefs, pleadings and legal news articles, they said.


Also see:

In Major Legal Tech Deal, vLex and Fastcase Merge, Creating A Global Legal Research Company, Backed By Oakley Capital and Bain Capital — from lawnext.com by Bob Ambrogi

Excerpt:

In a deal that will reshape the legal research and legal technology landscape on a global basis and threaten the longstanding “Wexis” legal research duopoly, the companies vLex and Fastcase today announced that they have merged into a single entity that they say will have the world’s largest subscriber base of lawyers and law firms and a legal research library of more than 1 billion documents from more than 100 countries.


Speaking about the legal realm and innovations, also see:

On LawNext: 15 Years, 15 Lessons: Clio Founder Jack Newton On What He’s Learned About Building a Successful Company — from lawnext.com by Bob Ambrogi and Jack Newton

Excerpt:

As Clio marks its 15th anniversary in 2023, Newton sat down with me to share 15 lessons he has learned along the way regarding what makes a successful company and a successful leader. He also reminisces about the early days of starting Clio and his early successes and challenges. Notably, he and Gauvreau founded Clio in the middle of the Great Recession, and one of the lessons he shares in this episode is his belief that a recession is a great time to build a company.

For anyone who has founded or is thinking of founding a legal tech startup, this episode is a must-listen. Even for those who are not tech founders, but law firm founders, many of Newton’s lessons apply.

 
 


Also relevant/see:

 

The Secret to Great Learning Design? Focus on Problems, not Solutions — from drphilippahardman.substack.com by Dr. Philippa Hardman
What a recent resurgence of research into problem-based learning has taught us about the value & impact of problem-based approaches

Excerpts:

Problem-based learning is an instructional approach that engages students in active, collaborative, and self-directed learning by exploring complex, real-world problems (rather than sitting and listening to a stage on the stage).

In a Problem-based learning scenario, students work in small groups and, under the guidance of a facilitator or instructor, identify, research, and analyse a problem before proposing and evaluating potential solutions and reaching a resolution.

Here are five of the most interesting research projects published on problem-based learning in the last few months:

 


Also from Julie Sobowale, see:

  • Law’s AI revolution is here — from nationalmagazine.ca
    At least this much we know. Firms need to develop a strategy around language models.

Also re: legaltech, see:

  • Pioneers and Pathfinders: Richard Susskind — from seyfarth.com by J. Stephen Poor
    In our conversation, Richard discusses the ways we should all be thinking about legal innovation, the challenges of training lawyers for the future, and the qualifications of those likely to develop breakthrough technologies in law, as well as his own journey and how he became interested in AI as an undergraduate student.

Also re: legaltech, see:

There is an elephant in the room that is rarely discussed. Who owns the IP of AI-generated content?

 

ChatGPT and AI Applications for In-house Lawyers — from docket.acc.com by Spiwe L. Jefferson

Excerpt:

The explosive emergence of ChatGPT as a consumer tool has catapulted Artificial Intelligence (AI) and its subfield, natural language processing (NLP), to the technology stage. As AI and NLP continue to evolve, the use of AI-powered tools, such as the Generative Pre-trained Transformer (GPT), in the legal industry has become increasingly prevalent. Many lawyers are experimenting with AI and grappling with its applications to streamline practices and improve efficiency.

While GPT and other AI-powered tools can potentially revolutionize aspects of the legal profession, it is important to consider the current limitations and potential pitfalls in implementing these technologies.

017 | Post-Event Learnings w/ AI Prompts |Brainyacts #17 — from thebrainyacts.beehiiv.com

Excerpt:

Earlier this week some of you were at Legalweek in New York. Others of you joined Terri Mottershead and the Centre for Legal Innovation to talk about what consultants think about ChatGPT/Generative AI.

Far too many of us attend these events and never take the time to invest in ourselves and our organizations by capturing our learnings and insights.

In fact, I will go a step further.

If your organization paid for you to go, there is an obligation to transfer your personal experience into one that benefits the organization. Sort of a return on investment for the $ and time away from the office.

 
 

How AI will revolutionize the practice of law — from brookings.edu by John Villasenor

Artificial intelligence (AI) is poised to fundamentally reshape the practice of law. 

Excerpt:

BROADENING ACCESS TO LEGAL SERVICES
AI also has the potential to dramatically broaden access to legal services, which are prohibitively expensive for many individuals and small businesses. As the Center for American Progress has written, “[p]romoting equal, meaningful access to legal representation in the U.S. justice system is critical to ending poverty, combating discrimination, and creating opportunity.”

AI will make it much less costly to initiate and pursue litigation. For instance, it is now possible with one click to automatically generate a 1000-word lawsuit against robocallers. More generally, drafting a well-written complaint will require more than a single click, but in some scenarios, not much more. These changes will make it much easier for law firms to expand services to lower-income clients.

 

On the K-12 side of things:

6 Ways to Use ChatGPT to Save Time — from edutopia.org by Todd Finley
Teachers can use the artificial intelligence tool to effectively automate some routine tasks.

Excerpt:

In the paragraphs that follow, I’ve divided these tasks into the following categories: planning instruction, handouts and materials, differentiation, correspondence, assessment, and writing instruction and feedback. Welcome to the revolution.

Lesson plans: Ask ChatGPT to write a lesson plan on, say, Westward Expansion. The tool composes assessments, activities, scaffolding, and objectives. Want that in the form of problem-based learning or revised for a flipped classroom? ChatGPT can adjust the lesson plan according to your instructions. 

I’m a high school math and science teacher who uses ChatGPT, and it’s made my job much easier — from businessinsider-com.cdn.ampproject.org by Aaron Mok; with thanks to Robert Gibson on LinkedIn for this resource

Shannon Ahern teaching her class with the help of a ChatGPT-generated slide. Photo courtesy of Shannon Ahern

Excerpt:

  • Shannon Ahern, a high school math and science teacher, was afraid that ChatGPT would take her job.
  • But her mind changed after she started using the AI for class prep, which saved her hours of time.
  • Here’s how Ahern is using ChatGPT to make her job easier, as told to Insider’s Aaron Mok.

On the higher education side of things:

Using AI to make teaching easier & more impactful — from oneusefulthing.substack.com by Ethan Mollick
Here are five strategies and prompts that work for GPT-3.5 & GPT-4

Excerpt:

But one thing that is not changing is the best way for people to learn. We have made large advances in recent years in understanding pedagogy – the science of learning. We know some of the most effective techniques for making sure material sticks and that it can be retrieved and used when needed most.

Unfortunately, many of these advanced pedagogical techniques are time-consuming to prepare, and many instructors are often overworked and do not have the resources and time to add them to their teaching repertoire. But AI can help. In the rush to deliver AI benefits directly to students, the role of teachers is often overlooked.

Teaching: What You Need to Know About ChatGPT — from chronicle.com by Beth McMurtrie

Excerpt:

Digital literacy is more important than ever. Artificial-intelligence tools, and generative AI in particular, raise a host of ethical, political, economic, and social questions. Plus, this tech is soon going to be everywhere, including students’ future professions. (The technology behind ChatGPT, in fact, just got an upgrade this week.) Colleges need to figure out how to graduate digitally savvy students in all disciplines.

“The integration of technology into our lives is so pervasive that the restriction of education about AI to the computer scientists and the computer engineers makes no more sense than the restriction of taking English classes by English majors,” said Weber.

 

Designing Virtual Edtech Faculty Development Workshops That Stick: 10 Guiding Principles — from er.educause.edu by Tolulope (Tolu) Noah
These ten principles offer guidance on ways to design and facilitate effective and engaging virtual workshops that leave faculty feeling better equipped to implement new edtech tools.

Excerpt:

I share here ten guiding principles that have shaped my design and facilitation of virtual synchronous edtech workshops. These guiding principles are based on lessons learned in both my previous role as a professional learning specialist at a major technology company and my current role as a faculty developer at a university. In the spirit of James M. Lang’s book Small Teaching, my hope is that the principles shared here may prompt reflection on the small yet impactful moves academic technology specialists, instructional designers, and educational developers can make to create virtual learning experiences whereby faculty leave feeling better equipped to implement the edtech tools they have learned.


Somewhat relevant/see:

Evidence-Based Learning Design 101 — by Dr. Philippa Hardman
A practical guide on how to bake the science of learning into the art of course design

Excerpt:

As I reflect on the experience and what I’ve learned so far, I thought I’d share a response to the question I probably get asked most: what process do you use to go from an idea to a designed learning experience?

So, let’s do a rapid review of the four step process I and my bootcamp alumni use – aka the DOMS™? process – to go from zero to a designed learning experience.

 
© 2022 | Daniel Christian