Learning Experience Design

“An AI tutor for every student” + numerous other items re: AI in our learning ecosystems

On 12/21/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, corporate / business world, corporate universities / corporate training, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, lifelong learning, Open AI, personalized/customized learning, strategy, student-related, teachers, teaching & learning, teaching online, tools, training / L&D, United States, vendors, virtual tutoring, youth, by Daniel Christian

60 Minutes Overtime
Sal Khan wants an AI tutor for every student: here’s how it’s working at an Indiana high school — from cbsnews.com by Anderson Cooper, Aliza Chasan, Denise Schrier Cetta, and Katie Brennan

“I mean, that’s what I’ll always want for my own children and, frankly, for anyone’s children,” Khan said. “And the hope here is that we can use artificial intelligence and other technologies to amplify what a teacher can do so they can spend more time standing next to a student, figuring them out, having a person-to-person connection.”
…
“After a week you start to realize, like, how you can use it,” Brockman said. “That’s been one of the really important things about working with Sal and his team, to really figure out what’s the right way to sort of bring this to parents and to teachers and to classrooms and to do that in a way…so that the students really learn and aren’t just, you know, asking for the answers and that the parents can have oversight and the teachers can be involved in that process.”

Nectir lets teachers tailor AI chatbots to provide their students with 24/7 educational support — from techcrunch.com by Lauren Forristal

More than 100 colleges and high schools are turning to a new AI tool called Nectir, allowing teachers to create a personalized learning partner that’s trained on their syllabi, textbooks, and assignments to help students with anything from questions related to their coursework to essay writing assistance and even future career guidance.
…
With Nectir, teachers can create an AI assistant tailored to their specific needs, whether for a single class, a department, or the entire campus. There are various personalization options available, enabling teachers to establish clear boundaries for the AI’s interactions, such as programming the assistant to assist only with certain subjects or responding in a way that aligns with their teaching style.

“It’ll really be that customized learning partner. Every single conversation that a student has with any of their assistants will then be fed into that student profile for them to be able to see based on what the AI thinks, what should I be doing next, not only in my educational journey, but in my career journey,” Ghai said.

How Will AI Influence Higher Ed in 2025? — from insidehighered.com by Kathryn Palmer
No one knows for sure, but Inside Higher Ed asked seven experts for their predictions.

As the technology continues to evolve at a rapid pace, no one knows for sure how AI will influence higher education in 2025. But several experts offered Inside Higher Ed their predictions—and some guidance—for how colleges and universities will have to navigate AI’s potential in the new year.

How A.I. Can Revive a Love of Learning — from nytimes.com by Anant Agarwal
Modern technology offers new possibilities for transforming teaching.

In the short term, A.I. will help teachers create lesson plans, find illustrative examples and generate quizzes tailored to each student. Customized problem sets will serve as tools to combat cheating while A.I. provides instant feedback.
…
In the longer term, it’s possible to imagine a world where A.I. can ingest rich learner data and create personalized learning paths for students, all within a curriculum established by the teacher. Teachers can continue to be deeply involved in fostering student discussions, guiding group projects and engaging their students, while A.I. handles grading and uses the Socratic method to help students discover answers on their own. Teachers provide encouragement and one-on-one support when needed, using their newfound availability to give students some extra care.

Let’s be clear: A.I. will never replace the human touch that is so vital to education. No algorithm can replicate the empathy, creativity and passion a teacher brings to the classroom. But A.I. can certainly amplify those qualities. It can be our co-pilot, our chief of staff helping us extend our reach and improve our effectiveness.

Dancing with the Devil We Know: OpenAI and the Future of Education — from nickpotkalitsky.substack.com by Nick Potkalitsky
Analyzing OpenAI’s Student Writing Guide and Latest AI Tools

Today, I want to reflect on two recent OpenAI developments that highlight this evolution: their belated publication of advice for students on integrating AI into writing workflows, and last week’s launch of the full GPTo1 Pro version. When OpenAI released their student writing guide, there were plenty of snarky comments about how this guidance arrives almost a year after they thoroughly disrupted the educational landscape. Fair enough – I took my own side swipes initially. But let’s look at what they’re actually advising, because the details matter more than the timing.

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise — from studentsupportaccelerator.org by Rose E.Wang, Ana T. Ribeiro, Carly D. Robinson, Susanna Loeb, and Dora Demszky

Pandemic, Politics, Pre-K & More: 12 Charts That Defined Education in 2024 — from the74million.org
From the spread of AI to the limits of federal COVID aid, these research findings captured the world of education this year.

Tutoring programs exploded in the last five years as states and school districts searched for ways to counter plummeting achievement during COVID. But the cost of providing supplemental instruction to tens of millions of students can be eye-watering, even as the results seem to taper off as programs serve more students.

That’s where artificial intelligence could prove a decisive advantage. A report circulated in October by the National Student Support Accelerator found that an AI-powered tutoring assistant significantly improved the performance of hundreds of tutors by prompting them with new ways to explain concepts to students. With the help of the tool, dubbed Tutor CoPilot, students assigned to the weakest tutors began posting academic results nearly equal to those assigned to the strongest. And the cost to run the program was just $20 per pupil.

On Capacity, Sustainability, And Attention — from marcwatkins.substack.com by Marc Watkins

Faculty must have the time and support necessary to come to terms with this new technology and that requires us to change how we view professional development in higher education and K-12. We cannot treat generative AI as a one-off problem that can be solved by a workshop, an invited talk, or a course policy discussion. Generative AI in education has to be viewed as a continuum. Faculty need a myriad of support options each semester:

Course buyouts
Fellowships
Learning communities
Reading groups
AI Institutes and workshops
Funding to explore the scholarship of teaching and learning around generative AI

New in 2025 and What Edleaders Should Do About It — from gettingsmart.com by Tom Vander Ark and Mason Pashia

Key Points

Education leaders should focus on integrating AI literacy, civic education, and work-based learning to equip students for future challenges and opportunities.
Building social capital and personalized learning environments will be crucial for student success in a world increasingly influenced by AI and decentralized power structures.

A Three-Phase, Rational System of Education — from petergray.substack.com by Peter Gray; with thanks to Dr. Kate Christian for this resource
What will replace k-12 and college?

A Three-Phase, Rational System of Education
I don’t know just how or how fast the change will happen, but I think the days of K-12 and four years of college are numbered and sanity will begin to prevail in the educational world. I envision a future with something like the following three-phase approach to education:

Phase I. Discovery: Learning about your world, your self, and how the two fit together.…
Phase II. Exploring a career path.…
Phase III. Becoming credentialed for specialized work.…

Side Hustles for Educators [Hobson]

On 12/21/2024, in adjunct faculty, corporate universities / corporate training, digital learning, elearning, faculty/staff, ideas, instructional design, Learning Experience Design, teachers, by Daniel Christian

Side Hustles for Educators — from drlukehobson.com by Luke Hobson

Anyway, let’s say you work in education, and you want to start a side hustle. What are your options? I’ve seen folks take a few different approaches with this so, let’s go over a few options:

Adjunct Positions…
Presentations and Workshops…
Consulting and Client Work…
Digital Courses and Coaching…

How many students do microschools serve? [Soifer]

On 12/17/2024, in education, learning ecosystem, Learning Experience Design, learning hubs & pods & microschooling, by Daniel Christian

How many students do microschools serve? — from microschoolingcenter.org by Ashley Soifer

Our 2024 Sector Analysis shows the median average for number of children served by a microschool at launch is 9, at the end of the first year is 12 and currently serving is 16.

What this doesn’t show is all of the ups and downs in between.

It’s not uncommon for first year microschooling founders to see a dip in enrolled students between the start of the year and the end of the year. October and November can be two of the most stressful months for new microschool founders as numbers either dip or don’t grow as anticipated. There are a few things that can be helpful for microschool founders during this time:

Several items re: the higher ed and K-12 learning ecosystems

On 12/12/2024, in accreditation, Asia, Bias | Diversity Equity & Inclusion (DE&I), business, career development, colleges, community colleges, curriculum, education, education reform, education technology, engagement / engaging students, future, game-changing environment, global / globalization, higher education, homeschooling/homeschoolers, innovation, K-12 related, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, online learning, pathways, skills, society, sociology, strategy, teachers, United States, universities, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, youth, by Daniel Christian

Teacher Shortage: Is Hybrid or Remote Teaching the Answer? — from edtechmagazine.com by Adam Stone
In these uncertain times, K–12 schools use technology to better support students and teachers.

How Can Remote or Hybrid Teaching Help?
A shift to virtual learning can help close the gaps.

First, remote work can draw more people into the field. “For some folks, particularly with the pandemic and teaching for a year or more online, they found that model appealing to them from a professional and personal standpoint,” Carbaugh says.

While many educators still prefer face-to-face interactions, he says, others may find the ability to work from home appealing.

Virtual learning can also broaden the candidate pool in hard-to-fill roles. In STEM, for instance, “you might have someone who is willing to teach a class for you in addition to their normal job,” Speegle says. “They can teach computer science, biology or calculus for an hour a day, and they’re done.”

What Happens When Public School Districts Embrace Hybrid Schools? — from asthe74million.org by Eric Wearne & Tom Loud
With a fifth of its school-age children engaged in homeschooling, one Tennessee district found a way to connect them to the public system

With one in five school-age children engaged in homeschooling, Blount County Schools decided in 2018 to offer an option aimed at bridging the best of both homeschooling and public school, while offering a flexible schedule and college preparatory academics.
…
While the hybrid schooling model is not necessarily new, two developments have emerged in recent years. First, interest in attending, founding, and working at these schools has increased since the Covid pandemic; and second, conventional public-school systems are starting to get into the game.

Launchpad Jobs — from burningglassinstitute.org; via Paul Fain’s Education Pipeline posting

Launchpad Jobs highlights how nondegree workers can achieve career success through strategic job choices. It reveals that nearly 2 million workers without college degrees earn six-figure salaries, demonstrating that fulfilling and well-paying careers are accessible without a traditional four-year education.

The report identifies key 73 roles, termed “Launchpad Jobs,” that offer a combination of strong wages, job stability, and upward mobility. These include positions such as EMTs, electricians, and bank tellers, which often serve as steppingstones to long-term success. Using big data analysis of career histories this report maps the trajectories of workers starting in various roles, showcasing how initial job choices influence future earnings and advancement potential.

Why College Freshman Enrollment Declined and What it Could Mean for Students — from usnews.com by Sarah Wood
Experts cite possible reasons for the 5% overall enrollment drop in fall 2024 and implications for the current admission cycle.

From DSC:
Speaking of learning ecosystems, this next piece is absolutely incredible in terms of learning ecosystems from other nations!!!

China leads world in massive open online courses: Ministry of Education — from globaltimes.cn by Chen Xi; via GSV

China has established the world’s largest online education system, according to a document sent by the Ministry of Education to the Global Times on Wednesday.

As of now, the country has developed over 30 various online course platforms, with more than 97,000 massive open online courses (MOOCs) made available, 483 million registered users, and 1.39 billion learning instances. Additionally, 440 million instances of students obtaining course credits have been recorded, making China’s number of MOOCs and learners the highest in the world, according to the document.

Furthermore, a national smart education platform – the Smart Education of China in Higher Education – has launched 31,000 high-quality online courses, with 78,000 teachers participating in teaching and over 16.82 million users visiting, with more than 93 million visits, covering 183 countries and regions worldwide.

Many of these courses have garnered high praise among global students.

2025 Job Skills Report — from coursera.org

Uncover the fastest-growing skills with the Job Skills Report 2025. This practical resource draws on data from Coursera’s 5 million enterprise learners to highlight the skills and learning experiences that employees, students, and job seekers will prioritize for career success* in 2025.

This year’s report reveals that generative AI (GenAI) is the most in-demand skill, with enterprise course enrollments soaring by 866% year-over-year. By upskilling learners globally, industry, higher education, and governments can unlock AI’s potential $15.7 trillion in global economic value ?by 2030.**

Access the report to:

Identify the fastest-growing skills in AI, business, data science, and technology.
Compare skill priorities of students, employees, and job seekers.
Understand how learners engage with AI learning experiences.

Break the monopoly on higher education pathways — from fastcompany.com by Antonio Gutierrez; via GSV
New models prove that younger and underserved populations are finding success with skills-based programs and hybrid educational models.

The Duet-SNHU model proves that accessible, flexible, and cost-effective alternatives are possible and scalable. Meanwhile, the explosion of nondegree credentials offers additional pathways to skills-focused career readiness, reflecting a growing appetite for innovation in education. To remain competitive in the global economy, the U.S. must embrace these alternatives while reforming traditional institutions.

Policymakers must prioritize funding based on performance metrics like graduation rates and job placements, and accreditors must hold institutions accountable for real-world outcomes. Business leaders, educators, and community stakeholders must champion scalable models that deliver equity and opportunity. The stakes are too high to cling to an outdated system. By disrupting the status quo, we can create an education system that serves all Americans and strengthens the economy for generations to come.

Three recent items re: AI in our learning ecosystems

On 12/12/2024, in Artificial Intelligence/Agents/LLMs/and Related, change, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, Emotion, ethics, experimentation, faculty/staff, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, morals/values, pedagogy, productivity / tips and tricks, student-related, teachers, teaching & learning, tools, training / L&D, United States, universities, vendors, vision/possibilities, writing, by Daniel Christian

Episode 302: A Practical Roadmap for AI in K-12 Education with Mike Kentz & Nick Potkalitsky, PhD

In this episode of My EdTech Life, I had the pleasure of interviewing Mike Kentz and Nick Potkalitsky, PhD, to discuss their new book, AI in Education: The K-12 Roadmap to Teacher-Led Transformation. We dive into the transformative power of AI in education, exploring its potential for personalization, its impact on traditional teaching practices, and the critical need for teacher-driven experimentation.

Striking a Balance: Navigating the Ethical Dilemmas of AI in Higher Education — from er.educause.edu by Katalin Wargo and Brier Anderson
Navigating the complexities of artificial intelligence (AI) while upholding ethical standards requires a balanced approach that considers the benefits and risks of AI adoption.

As artificial intelligence (AI) continues to transform the world—including higher education—the need for responsible use has never been more critical. While AI holds immense potential to enhance teaching and learning, ethical considerations around social inequity, environmental concerns, and dehumanization continue to emerge. College and university centers for teaching and learning (CTLs), tasked with supporting faculty in best instructional practices, face growing pressure to take a balanced approach to adopting new technologies. This challenge is compounded by an unpredictable and rapidly evolving landscape. New AI tools surface almost daily. With each new tool, the educational possibilities and challenges increase exponentially. Keeping up is virtually impossible for CTLs, which historically have been institutional hubs for innovation. In fact, as of this writing, the There’s an AI for That website indicates that there are 23,208 AIs for 15,636 tasks for 4,875 jobs—with all three numbers increasing daily.

To support college and university faculty and, by extension, learners in navigating the complexities of AI integration while upholding ethical standards, CTLs must prioritize a balanced approach that considers the benefits and risks of AI adoption. Teaching and learning professionals need to expand their resources and support pathways beyond those solely targeting how to leverage AI or mitigate academic integrity violations. They need to make a concerted effort to promote critical AI literacy, grapple with issues of social inequity, examine the environmental impact of AI technologies, and promote human-centered design principles.1

5 Free AI Tools For Learning & Exploration — from whytryai.com by Daniel Nest
Have fun exploring new topics with these interactive sites.

We’re truly spoiled for choice when it comes to AI learning tools.

In principle, any free LLM can become an endlessly patient tutor or an interactive course-maker.

If that’s not enough, tools like NotebookLM’s “Audio Overviews” and ElevenLabs’ GenFM can turn practically any material into a breezy podcast.

But what if you’re looking to explore new topics in a way that’s more interactive than vanilla chatbots and more open-ended than source-grounded NotebookLM?

Well, then you might want to give one of these free-to-try learning tools a go.

“OpenAI wants to pair online courses with chatbots” [Wiggers] + other items re: AI in our learning ecosytems

On 12/07/2024, in adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, Australia, business, career development, change, changing business models, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, new business models, online learning, Open AI, platforms, productivity / tips and tricks, professional development, research, skills, society, sociology, student-related, teachers, teaching & learning, the downsides of how people use tech, tools, training / L&D, trends, United States, universities, vendors, workplace, writing, youth, by Daniel Christian

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

…the above article links to:

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

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

Learning outcomes:

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

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

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

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

AI could displace middle-skill workers and widen the wealth gap, says landmark study, which calls for better data and more investment in continuing education to help workers make career pivots.
…
Ensuring That AI Helps Workers
Artificial intelligence has emerged as a general purpose technology with sweeping implications for the workforce and education. While it’s impossible to precisely predict the scope and timing of looming changes to the labor market, the U.S. should build its capacity to rapidly detect and respond to AI developments.
That’s the big-ticket framing of a broad new report from the National Academies of Sciences, Engineering, and Medicine. Congress requested the study, tapping an all-star committee of experts to assess the current and future impact of AI on the workforce.

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

“AI could accelerate occupational polarization,” the committee said, “by automating more nonroutine tasks and increasing the demand for elite expertise while displacing middle-skill workers.”
…
The Kicker: “The education and workforce ecosystem has a responsibility to be intentional with how we value humans in an AI-powered world and design jobs and systems around that,” says Hsieh.

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

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

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

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

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

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

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

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

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

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

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

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

Findings from learning analytics research is also being used to help train new generative AI-powered tutoring systems.
…
Another big application is in assessment, says Pardos, the Berkeley professor. Specifically, new AI tools can be used to improve how educators measure and grade a student’s progress through course materials. The hope is that new AI tools will allow for replacing many multiple-choice exercises in online textbooks with fill-in-the-blank or essay questions.

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

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

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

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

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

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

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

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

VLOG: Learning in Medical School [The Learning Scientists]

On 12/07/2024, in Emotion, experimentation, faculty/staff, health, higher education, instructional design, learning, learning ecosystem, Learning Experience Design, memory, productivity / tips and tricks, student-related, teaching & learning, United States, universities, vendors, by Daniel Christian

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

NOTE:

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

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

Closing the digital use divide with active and engaging learning [Ascione]

On 12/04/2024, in active learning, Artificial Intelligence/Agents/LLMs/and Related, collaboration, communications, computer science, content development, aggregation, repositories, creativity, curriculum, data related items, education, education technology, educational games / serious games, engagement / engaging students, experimentation, face-to-face, instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, multimedia, new media literacies, personalized/customized learning, programming, simulations, skills, student teaching/teacher education, student-related, teachers, tools, United States, vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, XR - extended reality, youth, by Daniel Christian

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

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

Students also outlined their ideal active learning technologies:

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

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

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

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

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

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

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

DC: This is a great posting! “AI Tutors: Hype or Hope for Education?” [Bailey & Warner]

On 12/04/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, content development, aggregation, repositories, education, education reform, education technology, emerging technologies, engagement / engaging students, experimentation, future, game-changing environment, Google, human-computer interaction (HCI), innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, mathematics, multimedia, new media literacies, Open AI, personalized/customized learning, relationships, science, skills, student-related, teachers, the downsides of how people use tech, United States, vendors, vision/possibilities, writing, by Daniel Christian

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

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

Adapting to the future | Educause

Institutions are balancing capacity issues and rapid technological advancements—including artificial intelligence—while addressing a loss of trust in higher education.

To adapt to the future, technology and data leaders must work strategically to restore trust, prepare for policy updates, and plan for online education growth.

Two items re: AI in our learning ecosystems

On 11/27/2024, in Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, platforms, productivity / tips and tricks, research, skills, student-related, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

From DSC:
Notebook LM continues to make waves…

“Why Technology-Driven Law Firms Are Poised For Long-Term Success” [Farrar] + other items re: legaltech

On 11/27/2024, in Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, human-computer interaction (HCI), ideas, innovation, instructional design, law schools, learning, learning ecosystem, Learning Experience Design, Legal operations, legal reform, legal technologies, legislatures / government / legal, skills, tools, United States, vendors, by Daniel Christian

Below is an excerpt from 2024: The State of Generative AI in the Enterprise — from Menlo Ventures

Legal: Historically resistant to tech, the legal industry ($350 million in enterprise AI spend) is now embracing generative AI to manage massive amounts of unstructured data and automate complex, pattern-based workflows. The field broadly divides into litigation and transactional law, with numerous subspecialties. Rooted in litigation, Everlaw* focuses on legal holds, e-discovery, and trial preparation, while Harvey and Spellbook are advancing AI in transactional law with solutions for contract review, legal research, and M&A. Specific practice areas are also targeted AI innovations: EvenUp focuses on injury law, Garden on patents and intellectual property, Manifest on immigration and employment law, while Eve* is re-inventing plaintiff casework from client intake to resolution.

Excerpt from Brainyacts #250 (from 11/22/24) — from the Leveraging Generative AI in Client Interviews section

Here’s what the article from Forbes said:

CodeSignal, an AI tech company, has launched Conversation Practice, an AI-driven platform to help learners practice critical workplace communication and soft skills.
Conversation Practice uses multiple AI models and a natural spoken interface to simulate real-world scenarios and provide feedback.
The goal is to address the challenge of developing conversational skills through iterative practice, without the awkwardness of peer role-play.

What I learned about this software changed my perception about how I can prepare in the future for client meetings. Here’s what I’ve taken away from the potential use of this software in a legal practice setting:

Why Technology-Driven Law Firms Are Poised For Long-Term Success — from forbes.com by Daniel Farrar

I see the shift to cloud-based digital systems, especially for small and midsized law firms, as evening the playing field by providing access to robust tools that can aid legal services. Here are some examples of how legal professionals are leveraging tech every day:

- Cloud-based case management solutions. These help enhance productivity through collaboration tools and automated workflows while keeping data secure.
- E-discovery tools. These tools manage vast amounts of data and help speed up litigation processes.
- Artificial intelligence. AI has helped automate tasks for legal professionals including for case management, research, contract review and predictive analytics.

Learning Ecosystems

Side Hustles for Educators [Hobson]

How many students do microschools serve? [Soifer]

Categories

Tags