Essential AI tools for better work — from wondertools.substack.com by Jeremy Caplan
My favorite tactics for making the most of AI — a podcast conversation

AI tools I consistently rely on (areas covered mentioned below)

  • Research and analysis
  • Communication efficiency
  • Multimedia creation

AI tactics that work surprisingly well 

1. Reverse interviews
Instead of just querying AI, have it interview you. Get the AI to interview you, rather than interviewing it. Give it a little context and what you’re focusing on and what you’re interested in, and then you ask it to interview you to elicit your own insights.”

This approach helps extract knowledge from yourself, not just from the AI. Sometimes we need that guide to pull ideas out of ourselves.


OpenAI’s Deep Research Agent Is Coming for White-Collar Work — from wired.com by Will Knight
The research-focused agent shows how a new generation of more capable AI models could automate some office tasks.

Isla Fulford, a researcher at OpenAI, had a hunch that Deep Research would be a hit even before it was released.

Fulford had helped build the artificial intelligence agent, which autonomously explores the web, deciding for itself what links to click, what to read, and what to collate into an in-depth report. OpenAI first made Deep Research available internally; whenever it went down, Fulford says, she was inundated with queries from colleagues eager to have it back. “The number of people who were DMing me made us pretty excited,” says Fulford.

Since going live to the public on February 2, Deep Research has proven to be a hit with many users outside the company too.


Nvidia to open quantum computing research center in Boston — from seekingalpha.com by Ravikash Bakolia

Nvidia (NASDAQ:NVDA) will open a quantum computing research lab in Boston which is expected to start operations later this year.

The Nvidia Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing, said the company in a March 18 press release.

Nvidia’s CEO Jensen Huang also made this announcement on Thursday at the company’s first-ever Quantum Day at its annual GTC event.


French quantum computer firm Pasqal links up with NVIDIA — from reuters.com

PARIS, March 21 (Reuters) – Pasqal, a fast-growing French quantum computer start-up company, announced on Friday a partnership with chip giant Nvidia (NVDA.O), opens new tab whereby Pasqal’s customers would gain access to more tools to develop quantum applications.

Pasqal said it would connect its quantum computing units and cloud platform onto NVIDIA’s open-source platform called CUDA-Q.


Introducing next-generation audio models in the API — from openai.com
A new suite of audio models to power voice agents, now available to developers worldwide.

Today, we’re launching new speech-to-text and text-to-speech audio models in the API—making it possible to build more powerful, customizable, and intelligent voice agents that offer real value. Our latest speech-to-text models set a new state-of-the-art benchmark, outperforming existing solutions in accuracy and reliability—especially in challenging scenarios involving accents, noisy environments, and varying speech speeds. These improvements increase transcription reliability, making the models especially well-suited for use cases like customer call centers, meeting note transcription, and more.


 

8 Weeks Left to Prepare Students for the AI-Enhanced Workplace — from insidehighered.com by Ray Schroeder
We are down to the final weeks left to fully prepare students for entry into the AI-enhanced workplace. Are your students ready?

The urgent task facing those of us who teach and advise students, whether they be degree program or certificate seeking, is to ensure that they are prepared to enter (or re-enter) the workplace with skills and knowledge that are relevant to 2025 and beyond. One of the first skills to cultivate is an understanding of what kinds of services this emerging technology can provide to enhance the worker’s productivity and value to the institution or corporation.

Given that short period of time, coupled with the need to cover the scheduled information in the syllabus, I recommend that we consider merging AI use into authentic assignments and assessments, supplementary modules, and other resources to prepare for AI.


Learning Design in the Era of Agentic AI — from drphilippahardman.substack.com by Dr Philippa Hardman
Aka, how to design online async learning experiences that learners can’t afford to delegate to AI agents

The point I put forward was that the problem is not AI’s ability to complete online async courses, but that online async courses courses deliver so little value to our learners that they delegate their completion to AI.

The harsh reality is that this is not an AI problem — it is a learning design problem.

However, this realisation presents us with an opportunity which we overall seem keen to embrace. Rather than seeking out ways to block AI agents, we seem largely to agree that we should use this as a moment to reimagine online async learning itself.



8 Schools Innovating With Google AI — Here’s What They’re Doing — from forbes.com by Dan Fitzpatrick

While fears of AI replacing educators swirl in the public consciousness, a cohort of pioneering institutions is demonstrating a far more nuanced reality. These eight universities and schools aren’t just experimenting with AI, they’re fundamentally reshaping their educational ecosystems. From personalized learning in K-12 to advanced research in higher education, these institutions are leveraging Google’s AI to empower students, enhance teaching, and streamline operations.


Essential AI tools for better work — from wondertools.substack.com by Jeremy Caplan
My favorite tactics for making the most of AI — a podcast conversation

AI tools I consistently rely on (areas covered mentioned below)

  • Research and analysis
  • Communication efficiency
  • Multimedia creation

AI tactics that work surprisingly well 

1. Reverse interviews
Instead of just querying AI, have it interview you. Get the AI to interview you, rather than interviewing it. Give it a little context and what you’re focusing on and what you’re interested in, and then you ask it to interview you to elicit your own insights.”

This approach helps extract knowledge from yourself, not just from the AI. Sometimes we need that guide to pull ideas out of ourselves.

 

From DSC:
Look out Google, Amazon, and others! Nvidia is putting the pedal to the metal in terms of being innovative and visionary! They are leaving the likes of Apple in the dust.

The top talent out there is likely to go to Nvidia for a while. Engineers, programmers/software architects, network architects, product designers, data specialists, AI researchers, developers of robotics and autonomous vehicles, R&D specialists, computer vision specialists, natural language processing experts, and many more types of positions will be flocking to Nvidia to work for a company that has already changed the world and will likely continue to do so for years to come. 



NVIDIA’s AI Superbowl — from theneurondaily.com by Noah and Grant
PLUS: Prompt tips to make AI writing more natural

That’s despite a flood of new announcements (here’s a 16 min video recap), which included:

  1. A new architecture for massive AI data centers (now called “AI factories”).
  2. A physics engine for robot training built with Disney and DeepMind.
  3. partnership with GM to develop next-gen vehicles, factories and robots.
  4. A new Blackwell chip with “Dynamo” software that makes AI reasoning 40x faster than previous generations.
  5. A new “Rubin” chip slated for 2026 and a “Feynman” chip set for 2028.

For enterprises, NVIDIA unveiled DGX Spark and DGX Station—Jensen’s vision of AI-era computing, bringing NVIDIA’s powerful Blackwell chip directly to your desk.


Nvidia Bets Big on Synthetic Data — from wired.com by Lauren Goode
Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker’s customers and developers.


Nvidia, xAI to Join BlackRock and Microsoft’s $30 Billion AI Infrastructure Fund — from investopedia.com by Aaron McDade
Nvidia and xAI are joining BlackRock and Microsoft in an AI infrastructure group seeking $30 billion in funding. The group was first announced in September as BlackRock and Microsoft sought to fund new data centers to power AI products.



Nvidia CEO Jensen Huang says we’ll soon see 1 million GPU data centers visible from space — from finance.yahoo.com by Daniel Howley
Nvidia CEO Jensen Huang says the company is preparing for 1 million GPU data centers.


Nvidia stock stems losses as GTC leaves Wall Street analysts ‘comfortable with long term AI demand’ — from finance.yahoo.com by Laura Bratton
Nvidia stock reversed direction after a two-day slide that saw shares lose 5% as the AI chipmaker’s annual GTC event failed to excite investors amid a broader market downturn.


Microsoft, Google, and Oracle Deepen Nvidia Partnerships. This Stock Got the Biggest GTC Boost. — from barrons.com by Adam Clark and Elsa Ohlen


The 4 Big Surprises from Nvidia’s ‘Super Bowl of AI’ GTC Keynote — from barrons.com by Tae Kim; behind a paywall

AI Super Bowl. Hi everyone. This week, 20,000 engineers, scientists, industry executives, and yours truly descended upon San Jose, Calif. for Nvidia’s annual GTC developers’ conference, which has been dubbed the “Super Bowl of AI.”


 

The $100 billion disruption: How AI is reshaping legal tech — from americanbazaaronline.com by Rohan Hundia and Rajesh Mehta

The Size of the Problem: Judicial Backlog and Inefficiencies
India has a massive backlog of more than 47 million pending cases, with civil litigation itself averaging 1,445 days in resolution. In the United States, federal courts dispose of nearly 400,000 cases a year, and complex litigations take years to complete. Artificial intelligence-driven case law research, contract automation, and predictive analytics will cut legal research times by 90%, contract drafting fees by 60%, and hasten case settlements, potentially saving billions of dollars in legal costs.

This is not just an evolution—it is a permanent change toward data-driven jurisprudence, with AI supplementing human capabilities, speeding up delivery of justice, and extending access to legal services. The AI revolution for legal tech is not on its way; it is already under way, dismantling inefficiencies and transforming the legal world in real time.


Scaling and Improving Legal Tech Projects — from legaltalknetwork.com by Taylor Sartor, Luigi Bai, David Gray, and Cat Moon

Legal tech innovators discuss how they are working to scale and improve their successful projects on Talk Justice. FosterPower and Legal Aid Content Intelligence (LACI) leverage technology to make high-quality legal information available to people for free online. Both also received Technology Initiative Grants (TIG) from the Legal Services Corporation to launch their projects. Then, in 2024 they were both selected for a different TIG, called the Sustainability, Enhancement and Adoption (SEA) grant. This funding supports TIG projects that have demonstrated excellent results as they improve their tools and work to increase uptake.

 

ABA Tech Survey Finds Growing Adoption of AI in Legal Practice, with Efficiency Gains as Primary Driver — from lawnext.com by Bob Ambrogi

There has been a significant increase in the adoption of artificial intelligence-based tools among law firms, with 30% of respondents now using AI technology compared to just 11% in 2023, according to the just-released 2024 edition of the American Bar Association’s Legal Technology Survey Report.

It finds that time savings and increased efficiency remain the dominant perceived benefits of AI implementation in legal practice.

The report, published Wednesday by the ABA’s Legal Technology Resource Center, is based on a survey that gathered responses from 512 attorneys in private practice across various firm sizes.


Also re: the legal world:

Why The GC-Legal Ops Partnership Is More Critical Than Ever — from abovethelaw.com by Stephanie Corey
The future of in-house legal isn’t about working in silos — it’s about working together.

AI is rapidly changing the way legal work gets done. Legal Ops can help GCs navigate this shift — identifying the right tools, ensuring responsible AI adoption, and optimizing processes so legal teams can focus on high-value work.
 

Blind Spot on AI — from the-job.beehiiv.com by Paul Fain
Office tasks are being automated now, but nobody has answers on how education and worker upskilling should change.

Students and workers will need help adjusting to a labor market that appears to be on the verge of a historic disruption as many business processes are automated. Yet job projections and policy ideas are sorely lacking.

The benefits of agentic AI are already clear for a wide range of organizations, including small nonprofits like CareerVillage. But the ability to automate a broad range of business processes means that education programs and skills training for knowledge workers will need to change. And as Chung writes in a must-read essay, we have a blind spot with predicting the impacts of agentic AI on the labor market.

“Without robust projections,” he writes, “policymakers, businesses, and educators won’t be able to come to terms with how rapidly we need to start this upskilling.”

 

Drive Continuous Learning: AI Integrates Work & Training — from learningguild.com by George Hanshaw

Imagine with me for a moment: Training is no longer confined to scheduled sessions in a classroom, an online module or even a microlearning you click to activate during your workflow. Imagine training being delivered because the system senses what you are doing and provides instructions and job aids without you having to take an action.

The rapid evolution of artificial intelligence (AI) and wearable technology has made it easier than ever to seamlessly integrate learning directly into the workflow. Smart glasses, earpieces, and other advanced devices are redefining how employees gain knowledge and skills by delivering microlearning moments precisely when and where they are needed.

AI plays a crucial role in this transformation by sensing the optimal moment to deliver the training through augmented reality (AR).



These Schools Are Banding Together to Make Better Use of AI in Education — from edsurge.com by Emily Tate Sullivan

Kennelly and Geraffo are part of a small team at their school in Denver, DSST: College View High School, that is participating in the School Teams AI Collaborative, a year-long pilot initiative in which more than 80 educators from 19 traditional public and charter schools across the country are experimenting with and evaluating AI-enabled instruction to improve teaching and learning.

The goal is for some of AI’s earliest adopters in education to band together, share ideas and eventually help lead the way on what they and their colleagues around the U.S. could do with the emerging technology.

“Pretty early on we thought it was going to be a massive failure,” says Kennelly of last semester’s project. “But it became a huge hit. Students loved it. They were like, ‘I ran to second period to build this thing.’”



Transactional vs. Conversational Visions of Generative AI in Teaching — from elmartinsen.substack.com by Eric Lars Martinsen
AI as a Printer, or AI as a Thought Partner

As writing instructors, we have a choice in how we frame AI for our students. I invite you to:

  1. Experiment with AI as a conversation partner yourself before introducing it to students
  2. Design assignments that leverage AI’s strengths as a thought partner rather than trying to “AI-proof” your existing assignments
  3. Explicitly teach students how to engage in productive dialogue with AI—how to ask good questions, challenge AI’s assumptions, and use it to refine rather than replace their thinking
  4. Share your experiences, both positive and negative, with colleagues to build our collective understanding of effective AI integration

 

Nvidia helps launch AI platform for teaching American Sign Language — from venturebeat.com by Dean Takahashi; via Claire Zau

Nvidia has unveiled a new AI platform for teaching people how to use American Sign Language to help bridge communication gaps.

The Signs platform is creating a validated dataset for sign language learners and developers of ASL-based AI applications.

Nvidia, the American Society for Deaf Children and creative agency Hello Monday are helping close this gap with Signs, an interactive web platform built to support ASL learning and the development of accessible AI applications.


Using Gen AI to Design, Implement, and Assess PBL — from gettingsmart.com by David Ross

Key Points

  • Generative AI can significantly reduce the time and effort required in designing PBL by providing tools for research, brainstorming, and organization.
  • AI tools can assist educators in managing project implementation and assessment, providing formative feedback and organizing resources efficiently.

I usually conclude blogs with some pithy words, but this time I’ll turn the microphone over to Rachel Harcrow, a high school English/Language Arts teacher at Young Women’s College Prep Charter School of Rochester, NY: “After years of struggling to call myself a PBL practitioner, I finally feel comfortable saying I am, thanks to the power of Gen AI,” Harcrow told me. “Initial ideas now turn into fully fledged high-quality project plans in minutes that I can refine, giving me the space and energy to focus on what truly matters: My students.”


AI Resources for District Leaders — from techlearning.com by Steve Baule
Educational leaders aiming to effectively integrate generative AI into their schools should consider several key resources

To truly harness the transformative power of generative AI in education, district leaders must navigate a landscape rich with resources and opportunities. By delving into state and national guidelines, exploring successful case studies, utilizing innovative planning tools, and engaging in professional development, educational leaders can craft robust implementation plans. These plans can then assist in integrating AI seamlessly into their schools and elevate the learning experience to new heights.


Anthropic brings ‘extended thinking’ to Claude, which can solves complex physics problems with 96.5% accuracy — from rdworldonline.com by Brian Buntz

Anthropic, a favorite frontier AI lab among many coders and genAI power users has unveiled Claude 3.7 Sonnet, its first “hybrid reasoning” AI model. It is capable of both near-instant answers and in-depth, step-by-step reasoning within a single system.

Users can toggle an extended thinking mode where the model self-reflects before answering, considerably improving performance on complex tasks like math, physics and coding. In early testing by the author, the model largely succeeded in creating lines of Python (related to unsupervised learning) that were close to 1,000 lines long that ran without error on the first or second try, including the unsupervised machine learning task shown below:


New Tools. Old Complaints. Why AI Won’t Kill Education or Fix it  — from coolcatteacher.com by Vicki Davis; via Stephen Downes

AI won’t kill education. But will it kill learning? The challenge isn’t AI itself—it’s whether students can still think for themselves when the answers are always one click away.

Wait. Before you go, let me ask you one thing.
AI has opportunities to help learning. But it also won’t fix it. The real question isn’t whether students can use AI—but whether they’re still learning without it.

Whether the learning is happening between the ears.

And so much of what we teach in schools isn’t the answers on a test. It answers questions like “What is my purpose in life?” “How do I make friends?” and “How can I help my team be stronger.” Questions that aren’t asked on a test but are essential to living a good life. These questions aren’t answered between the ears but within the heart.

That, my friends, is what teaching has always been about.

The heart.

And the heart of the matter is we have new challenges, but these are old complaints. Complaints since the beginning of time and teaching. And in those days, you didn’t need kids just to be able to talk about how to build a fire, they had to make one themselves. Their lives depend on it.

And these days, we need to build another kind of fire. A fire that sparks the joy of learning. The joy of the opportunities that await us sparked by some of the most powerful tools ever invented. Kids need to not be able to just talk about making a difference, they need to know how to build a better world tomorrow. Our lives depend on it.


How Debating Skills Can Help Us In The Fight Against AI — from adigaskell.org by Adi Gaskell

Debating skills have a range of benefits in the workplace, from helping to improve our communication to bolstering our critical thinking skills. Research from the University of Mississippi suggests it might also help us in the battle with AI in the workplace.

We can often assume that debate teaches us nothing more than how to argue our point, but in order to do this, we have to understand both our own take on a subject and that of our opponent. This allows us to see both sides of any issue we happen to be debating.

“Even though AI has offered a shortcut through the writing process, it actually still is important to be able to write and speak and think on your own,” the researchers explain. “That’s what the focus of this research is: how debate engenders those aspects of being able to write and speak and study and research on your own.”

 

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Building an AI-Ready Workforce: A look at College Student ChatGPT Adoption in the US — from cdn.openai.com

One finding from our student survey that stood out to us: Many college and university students are teaching themselves and their friends about AI without waiting for their institutions to provide formal AI education or clear policies about the technology’s use. The education ecosystem is in an important moment of exploration and learning, but the rapid adoption by students across the country who haven’t received formalized instruction in how and when to use the technology creates disparities in AI access and knowledge.

The enclosed snapshot of how young people are using ChatGPT provides insight into the state of AI use among America’s college-aged students. We also include actionable proposals to help address adoption gaps. We hope these insights and proposals can inform research and policy conversation across the nation’s education ecosystem about how to achieve outcomes that support our students, our workforce, and the economy. By improving literacy, expanding access, and implementing clear policies, policymakers and educators can better integrate AI into our educational infrastructure and ensure that our workforce is ready to both sustain and benefit from our future with AI.

Leah Belsky | Vice President, Education | OpenAI

 

Top student use cases of ChatGPT -- learning and tutoring, writing help, miscellaneouc questions, and programming help

 

Assistive tech in your classroom: A practical guide — from understood.org by Andrew M.I. Lee, JD
Assistive technology (AT) are tools that let people with differences work around challenges. They make tasks and activities accessible at school, work, and home. Learn how AT apps and software can help with reading, writing, math, and more.

People who learn and think differently can use technology to help work around their challenges. This is called assistive technology (AT). AT helps people with disabilities learn, communicate, or function better. It can be as high-tech as a computer, or as low-tech as a pencil grip. It’s a type of accommodation that involves tools.

Assistive technology has two parts: devices (the actual tools people use) and services (the support to choose and use the tools).

Students who struggle with learning can use AT to help with subjects like reading, writing, and math. AT can also help kids and adults with the tasks of daily life. And many adults use these tools on the job, too.
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The Learning & Development Global Sentiment Survey 2025 — from donaldhtaylor.co.uk by Don Taylor

The L&D Global Sentiment Survey, now in its 12th year, once again asked two key questions of L&D professionals worldwide:

  • What will be hot in workplace learning in 2025?
  • What are your L&D challenges in 2025?

For the obligatory question on what they considered ‘hot’ topics, respondents voted for one to three of 15 suggested options, plus a free text ‘Other’ option. Over 3,000 voters participated from nearly 100 countries. 85% shared their challenges for 2025.

The results show more interest in AI, a renewed focus on showing the value of L&D, and some signs of greater maturity around our understanding of AI in L&D.


 

Wonder Tools: An investigative journalist’s favorites — from wondertools.substack.com by Jeremy Caplan and Madison Hopkins
A field guide to a reporter’s core digital tools

How do investigative journalists organize years of research, thousands of documents, and piles of notes? With toolkits like that of Madison Hopkins, whose Pulitzer Prize-winning reporting has exposed Chicago’s fatal fire safety failures and flawed surveillance programs.

Read on for Madison’s tools for managing long-term investigative projects — from her note-taking system to her workflow for tracking public records. Whether you’re a journalist or manage other kinds of projects, you’ll find multiple resources for your own work. – Jeremy

 

How to Make Learning as Addictive as Social Media | Duolingo’s Luis Von Ahn | TED — from youtube.com; via Kamil Banc at AI Adopter

When technologist Luis von Ahn was building the popular language-learning platform Duolingo, he faced a big problem: Could an app designed to teach you something ever compete with addictive platforms like Instagram and TikTok? He explains how Duolingo harnesses the psychological techniques of social media and mobile games to get you excited to learn — all while spreading access to education across the world.
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Book Review: Designing Accessible Learning Content — from learningguild.com by Jane Bozarth

What a great treat to receive a review copy of Susi Miller’s new book! This updated edition of her wonderful Designing Accessible Learning Content: A Practical Guide to Applying Best Practice Accessibility Standards to L&D Resources (2nd edition) is a must-have for anyone trying to make sense of accessibility standards. Updates in this new version include a deep dive into the revised WCAG 2.2 standards, affordances of and concerns about the evolution of AI, and information about the new European Accessibility Act, which puts pressure on commercial endeavors as well as public sector entities to ensure good accessibility practices.


 

10 Extreme Challenges Facing Schools — from stefanbauschard.substack.com by Stefan Bauschard

TL;DR
Schools face 10 extreme challenges

– assessment
– funding
– deportations
– opposition to trans students
– mental health
– AI/AGI world
– a struggle to engage students
– too many hats
– war risks
– resource redistribution and civil conflict


Hundreds of thousands of students are entitled to training and help finding jobs. They don’t get it — from hechingerreport.org by Meredith Kolodner
The best program to help students with disabilities get jobs is so hidden, ‘It’s like a secret society’

There’s a half-billion-dollar federal program that is supposed to help students with disabilities get into the workforce when they leave high school, but most parents — and even some school officials — don’t know it exists. As a result, hundreds of thousands of students who could be getting help go without it. New Jersey had the nation’s lowest proportion — roughly 2 percent — of eligible students receiving these services in 2023.

More than a decade ago, Congress recognized the need to help young people with disabilities get jobs, and earmarked funding for pre-employment transition services to help students explore and train for careers and send them on a pathway to independence after high school. Yet, today, fewer than 40 percent of people with disabilities ages 16 to 64 are employed, even though experts say most are capable of working.

The article links to:

Pre-Employment Transition Services

Both vocational rehabilitation agencies and schools are required by law to provide certain transition services and supports to improve post-school outcomes of students with disabilities.

The Workforce Innovation and Opportunity Act (WIOA) amends the Rehabilitation Act of 1973 and requires vocational rehabilitation (VR) agencies to set aside at least 15% of their federal funds to provide pre-employment transition services (Pre-ETS) to students with disabilities who are eligible or potentially eligible for VR services.  The intent of pre-employment transition services is to:

improve the transition of students with disabilities from school to postsecondary education or to an employment outcome, increase opportunities for students with disabilities to practice and improve workplace readiness skills, through work-based learning experiences in a competitive, integrated work setting and increase opportunities for students with disabilities to explore post-secondary training options, leading to more industry recognized credentials, and meaningful post-secondary employment.


Repurposing Furniture to Support Learning in the Early Grades — from edutopia.org by Kendall Stallings
A kindergarten teacher gives five practical examples of repurposing classroom furniture to serve multiple uses.

I’m a supporter of evolving classroom spaces—of redesigning the layout of the room as the needs and interests of students develop. The easiest way to accommodate students, I’ve found, is to use the furniture itself to set up a functional, spacious, and logical classroom. There are several benefits to this approach. It provides children with safe, low-stakes environmental changes; fosters flexibility; and creates opportunities for spatial adaptation and problem-solving. Additionally, rearranging the room throughout the school year enables teachers to address potential catalysts for challenging behaviors and social conflicts that may arise, while sparking curiosity in an otherwise-familiar space.


How Teacher-Generated Videos Support Students in Science — from edutopia.org by Shawn Sutton
A five-minute video can help students get a refresher on important science concepts at their own pace.

While instructional videos were prepared out of necessity in the past, I’ve rediscovered their utility as a quick, flexible, and personal way to enhance classroom teaching. Instructional videos can be created through free screencasting software such as ScreencastifyScreenRecLoom, or OBS Studio. Screencasting would be ideal for the direct presentation of information, like a slide deck of notes. Phone cameras make practical recording devices for live content beyond the computer screen, like a science demo. A teacher could invest in a phone stand and ring light at a nominal cost to assist in this type of recording.

However, not all teacher videos are created equal, and I’ve discovered four benefits and strategies that help make these teaching tools more effective.


 
© 2025 | Daniel Christian