From DSC:
Notebook LM continues to make waves…
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:
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- 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.
Skill-Based Training: Embrace the Benefits; Stay Wary of the Hype — from learningguild.com by Paige Yousey
1. Direct job relevance
One of the biggest draws of skill-based training is its direct relevance to employees’ daily roles. By focusing on teaching job-specific skills, this approach helps workers feel immediately empowered to apply what they learn, leading to a quick payoff for both the individual and the organization. Yet, while this tight focus is a major benefit, it’s important to consider some potential drawbacks that could arise from an overly narrow approach.
Be wary of:
- Overly Narrow Focus: Highly specialized training might leave employees with little room to apply their skills to broader challenges, limiting versatility and growth potential.
- Risk of Obsolescence: Skills can quickly become outdated, especially in fast-evolving industries. L&D leaders should aim for regular updates to maintain relevance.
- Neglect of Soft Skills: While technical skills are crucial, ignoring soft skills like communication and problem-solving may lead to a lack of balanced competency.
2. Enhanced job performance…
3. Addresses skill gaps…
…and several more areas to consider
Another item from Paige Yousey
5 Key EdTech Innovations to Watch — from learningguild.com by Paige Yousey
AI-driven course design
…
Strengths
- Content creation and updates: AI streamlines the creation of training materials by identifying resource gaps and generating tailored content, while also refreshing existing materials based on industry trends and employee feedback to maintain relevance.
- Data-driven insights: Use AI tools to provide valuable analytics to inform course development and instructional strategies, helping learner designers identify effective practices and improve overall learning outcomes.
- Efficiency: Automating repetitive tasks, such as learner assessments and administrative duties, enables L&D professionals to concentrate on developing impactful training programs and fostering learner engagement.
Concerns
- Limited understanding of context: AI may struggle to understand the specific educational context or the unique needs of diverse learner populations, potentially hindering effectiveness.
- Oversimplification of learning: AI may reduce complex educational concepts to simple metrics or algorithms, oversimplifying the learning process and neglecting deeper cognitive development.
- Resistance to change: Learning leaders may face resistance from staff who are skeptical about integrating AI into their training practices.
Also from the Learning Guild, see:
Use Twine to Easily Create Engaging, Immersive Scenario-Based Learning — from learningguild.com by Bill Brandon
Scenario-based learning immerses learners in realistic scenarios that mimic real-world challenges they might face in their roles. These learning experiences are highly relevant and relatable. SBL is active learning. Instead of passively consuming information, learners actively engage with the content by making decisions and solving problems within the scenario. This approach enhances critical thinking and decision-making skills.
SBL can be more effective when storytelling techniques create a narrative that guides learners through the scenario to maintain engagement and make the learning memorable. Learners receive immediate feedback on their decisions and learn from their mistakes. Reflection can deepen their understanding. Branching scenarios add simulated complex decision-making processes and show the outcome of various actions through interactive scenarios where learner choices lead to different outcomes.
Embrace the Future: Why L&D Leaders Should Prioritize AI Digital Literacy — from learningguild.com by Dr. Erica McCaig
The role of L&D leaders in AI digital literacy
For L&D leaders, developing AI digital literacy within an organization requires a well-structured curriculum and development plan that equips employees with the knowledge, skills, and ethical grounding needed to thrive in an AI-augmented workplace. This curriculum should encompass a range of competencies that enhance technical understanding and foster a mindset ready for innovation and responsible use of AI. Key areas to focus on include:
- Understanding AI Fundamentals: …
- Proficiency with AI Tools: …
- Ethical Considerations: …
- Cultivating Critical Thinking: …
How to use NotebookLM for personalized knowledge synthesis — from ai-supremacy.com by Michael Spencer and Alex McFarland
Two powerful workflows that unlock everything else. Intro: Golden Age of AI Tools and AI agent frameworks begins in 2025.
What is Google Learn about?
Google’s new AI tool, Learn About, is designed as a conversational learning companion that adapts to individual learning needs and curiosity. It allows users to explore various topics by entering questions, uploading images or documents, or selecting from curated topics. The tool aims to provide personalized responses tailored to the user’s knowledge level, making it user-friendly and engaging for learners of all ages.
Is Generative AI leading to a new take on Educational technology? It certainly appears promising heading into 2025.
The Learn About tool utilizes the LearnLM AI model, which is grounded in educational research and focuses on how people learn. Google insists that unlike traditional chatbots, it emphasizes interactive and visual elements in its responses, enhancing the educational experience. For instance, when asked about complex topics like the size of the universe, Learn About not only provides factual information but also includes related content, vocabulary building tools, and contextual explanations to deepen understanding.
VR training aims to help doctors avoid bias — from inavateonthenet.net
A new virtual reality training programme aims to tackle biases in healthcare settings, aimed at improving recognition, understanding, and addressing implicit bias towards black mothers.
Participants in the program at the University of Illinois Urbana-Champaign underwent a series of three modules, with the first module focusing on implicit bias and how it can negatively affect a patient at a doctor’s appointment.
From DSC:
First of all, when you look at the following posting:
What Top Tech Skills Should You Learn for 2025? — from dice.com by Nick Kolakowski
…you will see that they outline which skills you should consider mastering in 2025 if you want to stay on top of the latest career opportunities. They then list more information about the skills, how you apply the skills, and WHERE to get those skills.
I assert that in the future, people will be able to see this information on a 24x7x365 basis.
- Which jobs are in demand?
- What skills do I need to do those jobs?
- WHERE do I get/develop those skills?
And that last part (about the WHERE do I develop those skills) will pull from many different institutions, people, companies, etc.
BUT PEOPLE are the key! Oftentimes, we need to — and prefer to — learn with others!
Integrating Active Learning in Large STEM Lectures — from scholarlyteacher.com by Gabriele Pinto
Key Statement: Implementing elements of active learning into a large course may seem daunting task, but think-pair-share aided by quizzing and clickers can be done in any size classroom.
Many teachers do not realize how seamless it can be to shift their lectures towards a more active learning environment. In this article, we looked at how think-pair-share (TPS) is a simple activity that can be easily introduced and integrated within a lecture framework. We also explored how clickers and quizzing may fit into course design to provide greater tools of participation for the students and enrich their classroom experience and study patterns. These implementations, which do not involve drastic and daunting changes to lecturing, will improve student engagement and learning, and will allow the instructor to better gauge the state of the class, evaluate and adjust content pacing accordingly, and enrich his own teaching experience, as well as the students’ education.
The State of Instructional Design, 2024 — from by Dr. Philippa Hardman
Four initial results from a global survey I ran with Synthesia
In September, I partnered with Synthesia to conduct a comprehensive survey exploring the evolving landscape of instructional design.
Our timing was deliberate: as we witness the rapid advancement of AI and increasing pressure on learning teams to drive mass re-skilling and deliver more with less, we wanted to understand how the role of instructional designers is changing.
…
Our survey focused on five key areas that we believed would help surface the most important data about the transformation of our field:
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- Roles & Responsibilities: who’s designing learning experiences in 2024?
- Success Metrics: how do you and the organisations you work for measure the value of instructional design?
- Workload & Workflow: how much time do we spend on different aspects of our job, and why?
- Challenges & Barriers: what sorts of obstacles prevent us from producing optimal work?
- Tools & Technology: what tools do we use, and is the tooling landscape changing?
A Code-Red Leadership Crisis: A Wake-Up Call for Talent Development — from learningguild.com by Dr. Arika Pierce Williams
This company’s experience offers three crucial lessons for other organizational leaders who may be contemplating cutting or reducing talent development investments in their 2025 budgets to focus on “growth.”
- Leadership development isn’t a luxury – it’s a strategic imperative…
- Succession planning must be an ongoing process, not a reactive measure…
- The cost of developing leaders is far less than the cost of not having them when you need them most…
Also from The Learning Guild, see:
5 Key EdTech Innovations to Watch — from learningguild.com by Paige Yousey
- AI-driven course design
- Hyper-personalized content curation
- Immersive scenario-based training
- Smart chatbots
- Wearable devices
“The Value of Doing Things: What AI Agents Mean for Teachers” — from nickpotkalitsky.substack.com by guest author Jason Gulya, Professor of English and Applied Media at Berkeley College in New York City
AI Agents make me nervous. Really nervous.
I wish they didn’t.
I wish I could write that the last two years have made me more confident, more self-assured that AI is here to augment workers rather than replace them.
But I can’t.
I wish I could write that I know where schools and colleges will end up. I wish I could say that AI Agents will help us get where we need to be.
But I can’t.
At this point, today, I’m at a loss. I’m not sure where the rise of AI agents will take us, in terms of how we work and learn. I’m in the question-asking part of my journey. I have few answers.
So, let’s talk about where (I think) AI Agents will take education. And who knows? Maybe as I write I’ll come up with something more concrete.
It’s worth a shot, right?
From DSC:
I completely agree with Jason’s following assertion:
A good portion of AI advancement will come down to employee replacement. And AI Agents push companies towards that.
THAT’s where/what the ROI will be for corporations. They will make their investments up in the headcount area, and likely in other areas as well (product design, marketing campaigns, engineering-related items, and more). But how much time it takes to get there is a big question mark.
One last quote here…it’s too good not to include:
Behind these questions lies a more abstract, more philosophical one: what is the relationship between thinking and doing in a world of AI Agents and other kinds of automation?
How Good are Claude, ChatGPT & Gemini at Instructional Design? — from drphilippahardman.substack.com by Dr Philippa Hardman
A test of AI’s Instruction Design skills in theory & in practice
By examining models across three AI families—Claude, ChatGPT, and Gemini—I’ve started to identify each model’s strengths, limitations, and typical pitfalls.
Spoiler: my findings underscore that until we have specialised, fine-tuned AI copilots for instructional design, we should be cautious about relying on general-purpose models and ensure expert oversight in all ID tasks.
From DSC — I’m going to (have Nick) say this again:
I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing.Students began mapping out research directions I’d never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns.
The Digital Literacy Quest: Become an AI Hero — from gamma.app
From DSC:
I have not gone through all of these online-based materials, but I like what they are trying to get at:
- Confidence with AI
Students gain practical skills and confidence in using AI tools effectively. - Ethical Navigation
Learn to navigate the ethical landscape of AI with integrity and responsibility. Make informed decisions about AI usage. - Mastering Essential Skills
Develop critical thinking and problem-solving skills in the context of AI.
Expanding access to the Gemini app for teen students in education — from workspaceupdates.googleblog.com
Google Workspace for Education admins can now turn on the Gemini app with added data protection as an additional service for their teen users (ages 13+ or the applicable age in your country) in the following languages and countries. With added data protection, chats are not reviewed by human reviewers or otherwise used to improve AI models. The Gemini app will be a core service in the coming weeks for Education Standard and Plus users, including teens,
5 Essential Questions Educators Have About AI — from edsurge.com by Annie Ning
Recently, I spoke with several teachers regarding their primary questions and reflections on using AI in teaching and learning. Their thought-provoking responses challenge us to consider not only what AI can do but what it means for meaningful and equitable learning environments. Keeping in mind these reflections, we can better understand how we move forward toward meaningful AI integration in education.
FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI — from epoch.ai
FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.
We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve.
Rising demand for AI courses in UK universities shows 453% growth as students adapt to an AI-driven job market — from edtechinnovationhub.com
The demand for artificial intelligence courses in UK universities has surged dramatically over the past five years, with enrollments increasing by 453%, according to a recent study by Currys, a UK tech retailer.
The study, which analyzed UK university admissions data and surveyed current students and recent graduates, reveals how the growing influence of AI is shaping students’ educational choices and career paths.
This growth reflects the broader trend of AI integration across industries, creating new opportunities while transforming traditional roles. With AI’s influence on career prospects rising, students and graduates are increasingly drawn to AI-related courses to stay competitive in a rapidly changing job market.
Below are several items from edutopia.org:
Doing the Best You Can With the Time You Have — by Jay Schauer
These strategies can help overwhelmed teachers prioritize tasks and find a balance between perfectionism and efficiency.
.
How to Support Teachers’ Emotional Health — by Hedreich Nichols
Emotional well-being plays a major role in teachers’ job satisfaction, and it’s essential that they have effective resources for support.
Teachers cannot be expected to teach SEL effectively without first being intentional about their own emotional health. If we want educators to guide students through emotional regulation, they must have the time, space, and support to do that work themselves. This goes beyond surface-level wellness initiatives—teachers need opportunities to reflect on their emotional triggers, manage their own stresses, and receive genuine support from their schools. Only when teachers are empowered to process their own emotional challenges can they truly foster a healthy social and emotional environment for their students.
In Praise of the Humble Document Camera — by Emily Rankin
Revisiting a simple edtech tool can help you introduce rigor and engage students more deeply in their lessons.
4 Ways to Use a Document Camera in Your Classroom— by Emily Rankin
If a document camera is gathering dust in a classroom, its lack of impact is probably linked to the user, not what the gadget is capable of. Case in point, I wasn’t using mine regularly because I didn’t know the value it could add to my teaching and learning. Here are some of the practices I now know are possible:
- Guided practice. …
- Assessment for learning. …
- Sharing materials. …
- Expanding teaching and learning possibilities.
Weighing Inquiry-Based Learning and Direct Instruction in Elementary Math — by Vivian Quan
Teachers can ask themselves three key questions in order to choose the most effective instructional approach to a topic.
One factor to consider is the subject. In math, students need opportunities to work on rich tasks and solve problems in ways that make sense to them. However, that doesn’t mean direct instruction is totally absent from math time. The questions below can guide you in deciding whether to use direct instruction, when it would be appropriate, and who else in the classroom you might involve.
Increasing Talk Time in World Language Classes — by Kate Good
Teachers can experiment with a variety of strategies to build and assess students’ ability to converse in the target language.
To capitalize on my students’ (seemingly inexhaustible) desire to chat, I work to increase student talk time in our Spanish immersion classes. I use several strategies to build and assess students’ oral language.
Is Generative AI and ChatGPT healthy for Students? — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Beyond Text Generation: How AI Ignites Student Discovery and Deep Thinking, according to firsthand experiences of Teachers and AI researchers like Nick Potkalitsky.
After two years of intensive experimentation with AI in education, I am witnessing something amazing unfolding before my eyes. While much of the world fixates on AI’s generative capabilities—its ability to create essays, stories, and code—my students have discovered something far more powerful: exploratory AI, a dynamic partner in investigation and critique that’s transforming how they think.
…
They’ve moved beyond the initial fascination with AI-generated content to something far more sophisticated: using AI as an exploratory tool for investigation, interrogation, and intellectual discovery.
…
Instead of the much-feared “shutdown” of critical thinking, we’re witnessing something extraordinary: the emergence of what I call “generative thinking”—a dynamic process where students learn to expand, reshape, and evolve their ideas through meaningful exploration with AI tools. Here I consciously reposition the term “generative” as a process of human origination, although one ultimately spurred on by machine input.
A Road Map for Leveraging AI at a Smaller Institution — from er.educause.edu by Dave Weil and Jill Forrester
Smaller institutions and others may not have the staffing and resources needed to explore and take advantage of developments in artificial intelligence (AI) on their campuses. This article provides a roadmap to help institutions with more limited resources advance AI use on their campuses.
The following activities can help smaller institutions better understand AI and lay a solid foundation that will allow them to benefit from it.
- Understand the impact…
- Understand the different types of AI tools…
- Focus on institutional data and knowledge repositories…
Smaller institutions do not need to fear being left behind in the wake of rapid advancements in AI technologies and tools. By thinking intentionally about how AI will impact the institution, becoming familiar with the different types of AI tools, and establishing a strong data and analytics infrastructure, institutions can establish the groundwork for AI success. The five fundamental activities of coordinating, learning, planning and governing, implementing, and reviewing and refining can help smaller institutions make progress on their journey to use AI tools to gain efficiencies and improve students’ experiences and outcomes while keeping true to their institutional missions and values.
Also from Educause, see:
- From Hype to Help: Making GenAI Useful for Enterprise Reporting and Data Analytics — from er.educause.edu by Craig Rudick
AI school opens – learners are not good or bad but fast and slow — from donaldclarkplanb.blogspot.com by Donald Clark
That is what they are doing here. Lesson plans focus on learners rather than the traditional teacher-centric model. Assessing prior strengths and weaknesses, personalising to focus more on weaknesses and less on things known or mastered. It’s adaptive, personalised learning. The idea that everyone should learn at the exactly same pace, within the same timescale is slightly ridiculous, ruled by the need for timetabling a one to many, classroom model.
For the first time in the history of our species we have technology that performs some of the tasks of teaching. We have reached a pivot point where this can be tried and tested. My feeling is that we’ll see a lot more of this, as parents and general teachers can delegate a lot of the exposition and teaching of the subject to the technology. We may just see a breakthrough that transforms education.
Agentic AI Named Top Tech Trend for 2025 — from campustechnology.com by David Ramel
Agentic AI will be the top tech trend for 2025, according to research firm Gartner. The term describes autonomous machine “agents” that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.
…
More realistic challenges that the firm has listed elsewhere include:
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- Agentic AI proliferating without governance or tracking;
- Agentic AI making decisions that are not trustworthy;
- Agentic AI relying on low-quality data;
- Employee resistance; and
- Agentic-AI-driven cyberattacks enabling “smart malware.”
Also from campustechnology.com, see:
- New OpenAI Swarm Framework Offers Experimental Tool for Multi-Agent AI Networks — by John K. Waters
OpenAI has introduced a new open source framework designed to simplify the development and management of multi-agent AI systems that can collaborate autonomously to perform tasks.
Three items from edcircuit.com:
- The Top 10 AI Tools for Enhancing Learning
- Revolutionizing Lesson Planning: How AI Teaching Assistants Bring Creativity and Efficiency to the Classroom
- Maximizing Student Success: How Artificial Intelligence is Revolutionizing K12 Coaching
All or nothing at Educause24 — from onedtech.philhillaa.com by Kevin Kelly
Looking for specific solutions at the conference exhibit hall, with an educator focus
Here are some notable trends:
- Alignment with campus policies: …
- Choose your own AI adventure: …
- Integrate AI throughout a workflow: …
- Moving from prompt engineering to bot building: …
- More complex problem-solving: …
…
Not all AI news is good news. In particular, AI has exacerbated the problem of fraudulent enrollment–i.e., rogue actors who use fake or stolen identities with the intent of stealing financial aid funding with no intention of completing coursework.
…
The consequences are very real, including financial aid funding going to criminal enterprises, enrollment estimates getting dramatically skewed, and legitimate students being blocked from registering for classes that appear “full” due to large numbers of fraudulent enrollments.
How Legal Education Must Evolve In The Age Of AI: Insights From An In-House Legal Innovator — from by abovethelaw.com Olga Mack
Traditional legal education has remained largely unchanged for decades, focusing heavily on theoretical knowledge and case law analysis.
As we stand on the brink of a new era defined by artificial intelligence (AI) and data-driven decision-making, the question arises: How should legal education adapt to prepare the next generation of lawyers for the challenges ahead?
Here are three unconventional, actionable insights from our conversation that highlight the need for a radical rethinking of legal education.
- Integrate AI Education Into Every Aspect Of Legal Training…
- Adopt A ‘Technology-Agnostic’ Approach To AI Training…
- Redefine Success In Legal Education To Include Technological Proficiency…
Boosting Student Engagement with Interactive and Practical Teaching Methods — from campustechnology.com by Dr. Lucas Long
One of my biggest goals as an educator is to show students how the material they learn in class can be applied to real-world situations. In my finance courses, this often means taking what we’re learning about financial calculations and connecting it to decisions they’ll have to make as adults. For example, I’ve used real-life scenarios like buying a car with a loan, paying off student debt, saving for a wedding, or calculating mortgage payments for a future home purchase. I even use salary data to show students what they could realistically afford given average salaries after graduation, helping them relate to the financial decisions they will face after college.
These practical examples don’t just keep students engaged; they also demonstrate the immediate value of learning financial principles. I often hear students express frustration when they feel like they’re learning concepts that won’t apply to their lives. But when I use real scenarios and provide tools like financial calculators to show them exactly how they’ll use this knowledge in their future, their attitude changes. They become more motivated to engage with the material because they see its relevance beyond the classroom.
AI Tutors Double Rates of Learning in Less Learning Time — by drphilippahardman.substack.com Dr. Philippa Hardman
Inside Harvard’s new groundbreaking study
Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.
If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.
That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.
Three Quick Examples of Teaching with and about Generative AI — from derekbruff.org Derek Bruff
- Text-to-Podcast.
- Assigning Students to Groups.
- AI Acceptable Use Scale.
Also from Derek’s blog, see:
- Three Recent Studies on Student Learning with Generative AI
- How Do We Define Quality Student Work in an Age of AI?
From Mike Sharples on LinkedIn:
ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan
How and why to try the new Advanced Voice Mode
7 surprisingly practical ways to use voice AI
Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.
- Get a virtual museum tour. …
- Chat with historical figures….
- Practice languages. …
- Explore books. …
- Others…
Though not AI-related, this is along the lines of edtech:
- MoodleMoot Global 24 Conference Notes — from onedtech.philhillaa.com by Glenda Morgan
A first look at Moodle under new leadership
Here’s the link to access it: https://t.co/kHq0S2r4aD
It’s only available in the US at the moment, but it works with a VPN.
Truly the best tool for learning a new subject I’ve tried so far.
— Paul Couvert (@itsPaulAi) October 31, 2024
…which links to: