Hi everyone, I’m Daphne, a 13-year-old going into 8th grade.
I’m writing to compare “regular” Khan Academy (no AI) to Khanmigo (powered by GPT4), using three of my own made-up criteria.
They are: efficiency, effectiveness, and enjoyability. Efficiency is how fast I am able to cover a math topic and get basic understanding. Effectiveness is my quality of understanding—the difference between basic and advanced understanding. And the final one—most important to kids and maybe least important to adults who make kids learn math—is enjoyability.
7 Questions on Generative AI in Learning Design — from campustechnology.com by Rhea Kelly Open LMS Adoption and Education Specialist Michael Vaughn on the challenges and possibilities of using artificial intelligence to move teaching and learning forward.
The potential for artificial intelligence tools to speed up course design could be an attractive prospect for overworked faculty and spread-thin instructional designers. Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, says Michael Vaughn, adoption and education specialist at learning platform Open LMS, is treating AI like an intern who can be guided and molded along the way, and whose work is then vetted by a human expert.
We spoke with Vaughn about how best to utilize generative AI in learning design, ethical issues to consider, and how to formulate an institution-wide policy that can guide AI use today and in the future.
On September 25th, 2023, OpenAI announced the rollout of two new features that extend how people can interact with its recent and most advanced model, GPT-4: the ability to ask questions about images and to use speech as an input to a query.
This functionality marks GPT-4’s move into being a multimodal model. This means that the model can accept multiple “modalities” of input – text and images – and return results based on those inputs. Bing Chat, developed by Microsoft in partnership with OpenAI, and Google’s Bard model both support images as input, too. Read our comparison post to see how Bard and Bing perform with image inputs.
In this guide, we are going to share our first impressions with the GPT-4V image input feature.
Redefining What High School Is Supposed to Look Like — from edutopia.org by Brittany R. Collins From restorative grading to paid internships, an equity-centered approach to education creates rich learning opportunities for all students.
We have a networking party with special tables and food, and the students have to stand and mingle. We emulate this sort of a networking party, because they have to learn how to do it. They have to dress the part that day, and I film it so we can watch it back to give them some feedback.
Digital Promise announced [on 9/26/23] the launch of the Digital Promise FutureLab. This cutting-edge initiative embodies Digital Promise’s long-standing dedication to innovation in education and aims to not only revolutionize the current state of education, but to reimagine a new world of learning.
FutureLab is funded in part by Digital Promise’s recent gift from MacKenzie Scott.
“Innovation is in Digital Promise’s DNA, and we are reaffirming our commitment to push the boundaries of what’s possible in education,” said Jean-Claude Brizard, President and CEO of Digital Promise. “We believe the Digital Promise FutureLab will be a catalyst for transformative change in education. It’s a significant opportunity to collaborate with visionary educators, technologists, and researchers to create a more equitable future for learners worldwide.”
Student Use Cases for AI: Start by Sharing These Guidelines with Your Class — from hbsp.harvard.edu by Ethan Mollick and Lilach Mollick
To help you explore some of the ways students can use this disruptive new technology to improve their learning—while making your job easier and more effective—we’ve written a series of articles that examine the following student use cases:
Earlier this week, CETL and AIG hosted a discussion among UM faculty and other instructors about teaching and AI this fall semester. We wanted to know what was working when it came to policies and assignments that responded to generative AI technologies like ChatGPT, Google Bard, Midjourney, DALL-E, and more. We were also interested in hearing what wasn’t working, as well as questions and concerns that the university community had about teaching and AI.
Then, in class he put them into groups where they worked together to generate a 500-word essay on “Why I Write” entirely through ChatGPT. Each group had complete freedom in how they chose to use the tool. The key: They were asked to evaluate their essay on how well it offered a personal perspective and demonstrated a critical reading of the piece. Weiss also graded each ChatGPT-written essay and included an explanation of why he came up with that particular grade.
After that, the students were asked to record their observations on the experiment on the discussion board. Then they came together again as a class to discuss the experiment.
Weiss shared some of his students’ comments with me (with their approval). Here are a few:
Asked to describe the state of generative AI that they would like to see in higher education 10 years from now, panelists collaboratively constructed their preferred future. .
Julie York, a computer science and media teacher at South Portland High School in Maine, was scouring the internet for discussion tools for her class when she found TeachFX. An AI tool that takes recorded audio from a classroom and turns it into data about who talked and for how long, it seemed like a cool way for York to discuss issues of data privacy, consent and bias with her students. But York soon realized that TeachFX was meant for much more.
York found that TeachFX listened to her very carefully, and generated a detailed feedback report on her specific teaching style. York was hooked, in part because she says her school administration simply doesn’t have the time to observe teachers while tending to several other pressing concerns.
“I rarely ever get feedback on my teaching style. This was giving me 100 percent quantifiable data on how many questions I asked and how often I asked them in a 90-minute class,” York says. “It’s not a rubric. It’s a reflection.”
TeachFX is easy to use, York says. It’s as simple as switching on a recording device.
…
But TeachFX, she adds, is focused not on her students’ achievements, but instead on her performance as a teacher.
ChatGPT Is Landing Kids in the Principal’s Office, Survey Finds — from the74million.org by Mark Keierleber While educators worry that students are using generative AI to cheat, a new report finds students are turning to the tool more for personal problems.
Indeed, 58% of students, and 72% of those in special education, said they’ve used generative AI during the 2022-23 academic year, just not primarily for the reasons that teachers fear most. Among youth who completed the nationally representative survey, just 23% said they used it for academic purposes and 19% said they’ve used the tools to help them write and submit a paper. Instead, 29% reported having used it to deal with anxiety or mental health issues, 22% for issues with friends and 16% for family conflicts.
Part of the disconnect dividing teachers and students, researchers found, may come down to gray areas. Just 40% of parents said they or their child were given guidance on ways they can use generative AI without running afoul of school rules. Only 24% of teachers say they’ve been trained on how to respond if they suspect a student used generative AI to cheat.
The prospect of AI-powered, tailored, on-demand learning and performance support is exhilarating: It starts with traditional digital learning made into fully adaptive learning experiences, which would adjust to strengths and weaknesses for each individual learner. The possibilities extend all the way through to simulations and augmented reality, an environment to put into practice knowledge and skills, whether as individuals or working in a team simulation. The possibilities are immense.
Thanks to generative AI, such visions are transitioning from fiction to reality.
Video: Unleashing the Power of AI in L&D — from drphilippahardman.substack.com by Dr. Philippa Hardman An exclusive video walkthrough of my keynote at Sweden’s national L&D conference this week
Highlights
The wicked problem of L&D: last year, $371 billion was spent on workplace training globally, but only 12% of employees apply what they learn in the workplace
An innovative approach to L&D: when Mastery Learning is used to design & deliver workplace training, the rate of “transfer” (i.e. behaviour change & application) is 67%
AI 101: quick summary of classification, generative and interactive AI and its uses in L&D
The impact of AI: my initial research shows that AI has the potential to scale Mastery Learning and, in the process:
reduce the “time to training design” by 94% > faster
reduce the cost of training design by 92% > cheaper
increase the quality of learning design & delivery by 96% > better
Research also shows that the vast majority of workplaces are using AI only to “oil the machine” rather than innovate and improve our processes & practices
Practical tips: how to get started on your AI journey in your company, and a glimpse of what L&D roles might look like in a post-AI world
ChatGPT can now see, hear, and speak — from openai.com We are beginning to roll out new voice and image capabilities in ChatGPT. They offer a new, more intuitive type of interface by allowing you to have a voice conversation or show ChatGPT what you’re talking about.
Voice and image give you more ways to use ChatGPT in your life. Snap a picture of a landmark while traveling and have a live conversation about what’s interesting about it. When you’re home, snap pictures of your fridge and pantry to figure out what’s for dinner (and ask follow up questions for a step by step recipe). After dinner, help your child with a math problem by taking a photo, circling the problem set, and having it share hints with both of you.
We’re rolling out voice and images in ChatGPT to Plus and Enterprise users over the next two weeks. Voice is coming on iOS and Android (opt-in in your settings) and images will be available on all platforms.
Use your voice to engage in a back-and-forth conversation with ChatGPT. Speak with it on the go, request a bedtime story, or settle a dinner table debate.
ChatGPT can now browse the internet to provide you with current and authoritative information, complete with direct links to sources. It is no longer limited to data before September 2021. pic.twitter.com/pyj8a9HWkB
Because it’s the first-ever on Earth, it’s hard to label what kind of entertainment Hypercinema is. While it’s marketed as a “live AI experience” that blends “theatre, film and digital technology”, Dr. Gregory made it clear that it’s not here to make movies and TV extinct.
Your face and personality are how HyperCinema sets itself apart from the art forms of old. You get 15 photos of your face taken from different angles, then answer a questionnaire – mine started by asking what my fave vegetable was and ended by demanding to know what I thought the biggest threat to humanity was. Deep stuff, but the questions are always changing, cos that’s how AI rolls.
All of this information is stored on your cube – a green, glowing accessory that you carry around for the whole experience and insert into different sockets to transfer your info onto whatever screen is in front of you. Upon inserting your cube, the “live AI experience” starts.
The AI has taken your photos and superimposed your face on a variety of made-up characters in different situations.
We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology. With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action. At Microsoft, we think about this as having a copilot to help navigate any task. We have been building AI-powered copilots into our most used and loved products – making coding more efficient with GitHub, transforming productivity at work with Microsoft 365, redefining search with Bing and Edge and delivering contextual value that works across your apps and PC with Windows.
Today we take the next step to unify these capabilities into a single experience we call Microsoft Copilot, your everyday AI companion. Copilot will uniquely incorporate the context and intelligence of the web, your work data and what you are doing in the moment on your PC to provide better assistance – with your privacy and security at the forefront.
DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into exceptionally accurate images. DALL·E 3 is now in research preview, and will be available to ChatGPT Plus and Enterprise customers in October, via the API and in Labs later this fall.
The idea was simple: ask sixty community leaders to fan across the city’s public schools, follow in the footsteps of its youngest citizens, and report back on what they saw.
Fifty-nine said yes. What they found, Pickering says, “were kids with dead eyes. Kids not engaged. And kids who knew that school was a game – and the game was rigged.”
So the Billy Madison team used its findings to design a prospective high school that would actually produce what its participants said they wanted to see:
Let kids pursue their passions. Give them real work to do. And get them out of the school building, and in the community.
This thought-provoking discussion delves into the topic of system replacement in education. Is school transformation possible without replacing the existing education system? Joining [Michael] to discuss the question are Thomas Arnett of the Christensen Institute and Kelly Young of Education Reimagined.
In an educational landscape that constantly seeks marginal improvements, [Michael’s] guests speak to the importance of embracing new value networks that support innovative approaches to learning. They bring to light the issue of programs that remain niche solutions, rather than robust, learner-centered alternatives. In exploring the concept of value networks, [Michael’s] guests challenge 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.
From DSC: This reminds me of the importance of TrimTab Groups who invent or test out something new apart from the mothership.
The 2023 GEM Report on technology and education explores these debates, examining education challenges to which appropriate use of technology can offer solutions (access, equity and inclusion; quality; technology advancement; system management), while recognizing that many solutions proposed may also be detrimental.
The report also explores three system-wide conditions (access to technology, governance regulation, and teacher preparation) that need to be met for any technology in education to reach its full potential.
Bloom Academy is the first and only self-directed learning center in Las Vegas – microschooling as true, nontraditional and permissionless education alternative. 5 Questions with Microschool Founders Sarah & Yamila.https://t.co/RvxtwGXvkZ
Since last spring, journalists at The 74 have been crossing the U.S. as part of our 2023 High School Road Trip. It has embraced both emerging and established high school models, taking us to 13 schools from Rhode Island to California, Arizona to South Carolina, and in between.
It has brought us face-to-face with innovation, with programs that promote everything from nursing to aerospace to maritime-themed careers.
At each school, educators seem to be asking one key question: What if we could start over and try something totally new?
What we’ve found represents just a small sample of the incredible diversity that U.S. high schools now offer, but we’re noticing a few striking similarities that educators in these schools, free to experiment with new models, now share. Here are the top eight: .
What does it take to empower parents and decentralize schooling? Why is a diversity of school models important to parents? Are we at a tipping point? .
Several meta-analyses, which summarize the evidence from many studies, have found higher achievement when students take quizzes instead of, say, reviewing notes or rereading a book chapter. “There’s decades and decades of research showing that taking practice tests will actually improve your learning,” said David Shanks, a professor of psychology and deputy dean of the Faculty of Brain Sciences at University College London.
Still, many students get overwhelmed during tests. Shanks and a team of four researchers wanted to find out whether quizzes exacerbate test anxiety. The team collected 24 studies that measured students’ test anxiety and found that, on average, practice tests and quizzes not only improved academic achievement, but also ended up reducing test anxiety. Their meta-analysis was published in Educational Psychology Review in August 2023.
The End of Scantron Tests— from theatlantic.com by Matteo Wong Machine-graded bubble sheets are the defining feature of American schools. Today’s kindergartners may never have to fill one out.
There are several possible reasons why pretesting worked in this study.
Students paid more attention to the pretested material during the lecture.
The pretest activated prior knowledge (some of them are clearly doing a lot of prework), and allowed them to encode the new information more deeply.
They were doing a lot of studying of the pretested information outside of class.
There are some great spaced retrieval effects going on. That is, students saw the material before lecture, they took a quiz on it during the pretest, then later they reviewed or quizzed themselves on that same material again during self-study.
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?
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.
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.
So much of the way that we think about education and work is organized into silos. Sure, that’s one way to ensure a depth of knowledge in a field and to encourage learners to develop mastery. But it also leads to domains with strict boundaries. Colleges are typically organized into school sub-domains, managed like fiefdoms, with strict rules for professors who can teach in different schools.
Yet it’s at the intersections of seemingly-disparate domains where breakthrough innovation can occur.
Maybe intersections bring a greater chance of future work opportunity, because that young person can increase their focus in one arena or another as they discover new options for work — and because this is what meaningful work in the future is going to look like.
From DSC: This posting strikes me as an endorsement for interdisciplinary degrees. I agree with much of this. It’s just hard to find the right combination of disciplines. But I supposed that depends upon the individual student and what he/she is passionate or curious about.
A lot of people have been asking if AI is really a big deal for the future of work. We have a new paper that strongly suggests the answer is YES. .
Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, and produced 40% higher quality results than those without. Those are some very big impacts. Now, let’s add in the nuance.
Big Ideas is Education Week’s annual special report that brings the expertise of our newsroom—and occasionally those beyond our newsroom—to bear on the challenges you might be facing in your classroom, school, or district. Big Ideas questions the status quo and explores opportunities to help you build a better, more just learning environment for all students. Browse our collection.
PXU City HS has no physical site — its 83 students create custom programs, choosing from a menu of some 500 options fromPhoenix Union High School District’s bricks-and-mortar schools; its online-only program, internships; jobs; college classes; and career training programs.
But in the process, it became clear just how many high school-aged students were working, caring for siblings, filling in for their parents or significantly behind — or ahead and bored — academically.
…
If PXU City works as well for all its students as it does for Dominguez, he adds, every high school in the district ought to throw away the bell schedule and offer a truly personalized education.
There are 10 areas of study students chose from:architectural design, business administration logistics-distribution, computer science, construction technology, cybersecurity, diesel/auto technology, energy technologies, human and social services, teaching and training, and sports medicine.
Students pick a job within the program they’re working toward, but that can change, Cordia said, noting that there are hundreds of possible jobs within the automotive program.
The school received e more than 1,000 applications from interested students, he said, calling it “very humbling.”
Addendum that also involves changes within the K12 learning ecosystem:
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.
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.
Unsurprising move by the ABA. Just a reminder, the legal market is already embracing innovation whether the ABA, or lawyers, participate or not. https://t.co/MJNgqNNXVB
*** 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.
The single narrative education system is no longer working.
Its main limitation is its inability to honor young people as the dynamic individuals that they are.
New models of teaching and learning need to be designed to center on the student, not the teacher.
When the opportunity arises to implement learning that uses immersive technology ask yourself if the learning you are designing passes the Ready Player One Test:
Does it allow learners to immerse themselves in environments that would be too expensive or dangerous to experience otherwise?
Can the learning be personalized by the student?
Is it regenerative?
Does it allow for learning to happen non-linearly, at any time and place?
10 Ways Artificial Intelligence Is Transforming Instructional Design — from er.educause.edu by Robert Gibson Artificial intelligence (AI) is providing instructors and course designers with an incredible array of new tools and techniques to improve the course design and development process. However, the intersection of AI and content creation is not new.
What does this mean for the field of instructional and course design? I have been telling my graduate instructional design students that AI technology is not likely to replace them any time soon because learning and instruction are still highly personalized and humanistic experiences. However, as these students embark on their careers, they will need to understand how to appropriately identify, select, and utilize AI when developing course content.
Here are a few interesting examples of how AI is shaping and influencing instructional design. Some of the tools and resources can be used to satisfy a variety of course design activities, while others are very specific.
GenAI Chatbot Prompt Library for Educators — from aiforeducation.io We have a variety of prompts to help you lesson plan and do adminstrative tasks with GenAI chatbots like ChatGPT, Claude, Bard, and Perplexity.
Also relevant/see:
AI for Education — from linkedin.com Helping teachers and schools unlock their full potential through AI
Check out https://t.co/sfWeOiOzP5, “Helping teachers bring AI to the classroom critically, ethically, & responsibly.”
You can submit assignments to their curated collection. From the amazing @SarahWNewman at @metalabharvard. (She also did the Data Nutrition Project).
— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) August 18, 2023
Google’s AI-powered Search Generative Experience (SGE) is getting a major new feature: it will be able to summarize articles you’re reading on the web, according to a Google blog post. SGE can already summarize search results for you so that you don’t have to scroll forever to find what you’re looking for, and this new feature is designed to take that further by helping you out after you’ve actually clicked a link.
Weeks after The New York Times updated its terms of service (TOS) to prohibit AI companies from scraping its articles and images to train AI models, it appears that the Times may be preparing to sue OpenAI. The result, experts speculate, could be devastating to OpenAI, including the destruction of ChatGPT’s dataset and fines up to $150,000 per infringing piece of content.
NPR spoke to two people “with direct knowledge” who confirmed that the Times’ lawyers were mulling whether a lawsuit might be necessary “to protect the intellectual property rights” of the Times’ reporting.
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.
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.
Move fast to implement project and client pricing.
Prepare to hire fewer associates and to rethink partnership.
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.
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?
