ideas

Reflections on “7 Urgent Changes to Stop the Teacher Shortage Crisis” [Cates]

On 11/07/2024, in education, education reform, ideas, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, strategy, teachers, by Daniel Christian

7 Urgent Changes to Stop the Teacher Shortage Crisis — from teachingexpertise.com by Natalie Cates

In the past few years, the teacher shortage has reached critical levels. According to recent surveys, about 30% of teachers plan to leave their jobs in the next year, and 40% of those are considering leaving education altogether. Even more shocking is that only 16% of educators would strongly recommend the profession to others. This isn’t just a temporary problem; it’s a crisis that threatens the future of education. Teachers are burned out, undervalued, and overwhelmed by growing demands.

The question is: What needs to change? What will it take to stop the mass exodus from education and create an environment where teachers want to stay and thrive?

Below are the key areas that need urgent reform if we want to stop the teacher shortage and rebuild a sustainable, respected profession.

Micromanagement is a key contributor to teacher burnout. Teachers are bogged down with endless paperwork, restrictive policies, and constant oversight, leaving little room for creativity or autonomy in their classrooms. Instead of focusing on teaching, educators are often tied up with administrative tasks that serve little purpose in improving student outcomes.
…
“AMEN!! These are so accurate about what is needed in education.”, as what most teachers exclaimed. Teachers are professionals, and they deserve to be treated as such. Restoring autonomy is key to retaining talented educators.

From DSC:
I believe in giving those on the front lines — of anything (business, government, education, other) — as much control, autonomy, and power as possible. I hold this position because those are the folks who really know what’s going on, what’s working and what’s not working, and how best to fix things.

So I’m all in favor of trusting our teachers to tell us what they need and want to do. We need less input and control from legislators and more input and control from teachers.

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:

- 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:

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.

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” [Hardman] + other items re: AI in our learning ecosystems

On 11/01/2024, in Artificial Intelligence/Agents/LLMs/and Related, CMS/LMS, colleges, community colleges, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, platforms, podcasting, United States, universities, vendors, by Daniel Christian

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:

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:

Are ChatGPT, Claude & NotebookLM *Really* Disrupting Education? — from drphilippahardman.substack.com
Evaluating Gen AI’s *real* impact on human learning

The TLDR here is that, as useful as popular AI tools are for learners, as things stand they only enable us to take the very first steps on what is a long and complex journey of learning.

AI tools like ChatGPT 4o, Claude 3.5 & NotebookLM can help to give us access to information but (for now at least) the real work of learning remains in our – the humans’ – hands.

To which Anna Mills had a solid comment:

It might make a lot of sense to regulate generated audio to require some kind of watermark and/or metadata. Instructors who teach online and assign voice recordings, we need to recognize that these are now very easy and free to auto-generate. In some cases we are assigning this to discourage students from using AI to just autogenerate text responses, but audio is not immune.

An AI/robotic-based idea for automakers/suppliers out there [Christian]

On 10/17/2024, in 21st century, assistive technologies, Daniel S. Christian, emerging technologies, engineering, entrepreneurship, future, ideas, innovation, robotics, tools, usability, user experience (UX), user interface design, vendors, vision/possibilities, visualizing information, by Daniel Christian

From DSC:
Whenever we’ve had a flat tire over the years, a tricky part of the repair process is jacking up the car so that no harm is done to the car (or to me!). There are some grooves underneath the Toyota Camry where one is supposed to put the jack. But as the car is very low to the ground, these grooves are very hard to find (even in good weather and light).

What’s needed is a robotic jack with vision.

If the jack had “vision” and had wheels on it, the device could locate the exact location of the grooves, move there, and then ask the owner whether they are ready for the car to be lifted up. The owner could execute that order when they are ready and the robotic jack could safely hoist the car up.

This type of robotic device is already out there in other areas. But this idea for assistance with replacing a flat tire represents an AI and robotic-based, consumer-oriented application that we’ll likely be seeing much more of in the future. Carmakers and suppliers, please add this one to your list!

Daniel

Norway law decrees: Let childhood be childhood — from hechingerreport.org by Jackie Mader
In the Scandinavian country, early childhood education is a national priority, enshrined in law

Ullmann’s conclusion embodies one of Norway’s goals for its citizens: to build a nation of thriving adults by providing childhoods that are joyful, secure and inclusive. Perhaps nowhere is this belief manifested more clearly than in the nation’s approach to early child care. (In Norway, all education for children 5 and under is referred to as “barnehagen,” the local translation of “kindergarten.”) To an American, the Norwegian philosophy, both in policy and in practice, could feel alien. The government’s view isn’t that child care is a place to put children so parents can work, or even to prepare children for the rigors of elementary school. It’s about protecting childhood.

“A really important pillar of Norway’s early ed philosophy is the value of childhood in itself,” said Henrik D. Zachrisson, a professor at the Centre for Research on Equality in Education at the University of Oslo. “Early ed is supposed to be a place where children can be children and have the best childhood possible.”

10 ChatGPT prompts to extract everything from a book: pic.twitter.com/zzn4NrWu4l

— Farhan (@mhdfaran) October 12, 2024

Articulate AI & the “Buttonification” of Instructional Design — from drphilippahardman.substack.com by Dr. Philippa Hardman
A new trend in AI-UX, and its implications for Instructional Design

1. Using AI to Scale Exceptional Instructional Design Practice
Imagine a bonification system that doesn’t just automate tasks, but scales best practices in instructional design:

Evidence-Based Design Button…
Learner-Centered Objectives Generator…
Engagement Optimiser…

2. Surfacing AI’s Instructional Design Thinking
Instead of hiding AI’s decision-making process, what if we built an AI system which invites instructional designers to probe, question, and learn from an expert trained AI?

Explain This Design…
Show Me Alternatives…
Challenge My Assumptions…
Learning Science Insights…

By reimagining the role of AI in this way, we would…

Recapping OpenAI’s Education Forum — from marcwatkins.substack.com by Marc Watkins

OpenAI’s Education Forum was eye-opening for a number of reasons, but the one that stood out the most was Leah Belsky acknowledging what many of us in education had known for nearly two years—the majority of the active weekly users of ChatGPT are students. OpenAI has internal analytics that track upticks in usage during the fall and then drops off in the spring. Later that evening, OpenAI’s new CFO, Sarah Friar, further drove the point home with an anecdote about usage in the Philippines jumping nearly 90% at the start of the school year.

I had hoped to gain greater insight into OpenAI’s business model and how it related to education, but the Forum left me with more questions than answers. What app has the majority of users active 8 to 9 months out of the year and dormant for the holidays and summer breaks? What business model gives away free access and only converts 1 out of every 20-25 users to paid users? These were the initial thoughts that I hoped the Forum would address. But those questions, along with some deeper and arguably more critical ones, were skimmed over to drive home the main message of the Forum—Universities have to rapidly adopt AI and become AI-enabled institutions.

Off-Loading in the Age of Generative AI — from insidehighered.com by James DeVaney

As we embrace these technologies, we must also consider the experiences we need to discover and maintain our connections—and our humanity. In a world increasingly shaped by AI, I find myself asking: What are the experiences that define us, and how do they influence the relationships we build, both professionally and personally?

This concept of “off-loading” has become central to my thinking. In simple terms, off-loading is the act of delegating tasks to AI that we would otherwise do ourselves. As AI systems advance, we’re increasingly confronted with a question: Which tasks should we off-load to AI?

The Tutoring Revolution [Korbey]

On 10/11/2024, in 21st century, 24x7x365 access, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, digital learning, education, education technology, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, online learning, online media, personalized/customized learning, platforms, ubiquitous learning, United States, user experience (UX), vendors, virtual tutoring, vision/possibilities, youth, by Daniel Christian

The Tutoring Revolution — from educationnext.org by Holly Korbey
More families are seeking one-on-one help for their kids. What does that tell us about 21st-century education?

Recent research suggests that the number of students seeking help with academics is growing, and that over the last couple of decades, more families have been turning to tutoring for that help.
…

What the Future Holds
Digital tech has made private tutoring more accessible, more efficient, and more affordable. Students whose families can’t afford to pay $75 an hour at an in-person center can now log on from home to access a variety of online tutors, including Outschool, Wyzant, and Anchorbridge, and often find someone who can cater to their specific skills and needs—someone who can offer help in French to a student with ADHD, for example. Online tutoring is less expensive than in-person programs. Khan Academy’s Khanmigo chatbot can be a student’s virtual AI tutor, no Zoom meeting required, for $4 a month, and nonprofits like Learn to Be work with homeless shelters and community centers to give virtual reading and math tutoring free to kids who can’t afford it and often might need it the most.

An incredibly powerful video. We don’t always know what our students are going through.

On 10/07/2024, in Bias | Diversity Equity & Inclusion (DE&I), education, Emotion, ideas, K-12 related, learning, learning ecosystem, learning hubs & pods & microschooling, learning spaces, parents/guardians, psychology, student-related, teachers, youth, by Daniel Christian

This film lasts only 4 minutes and it won an Oscar …

Intense, but it conveys tremendous reality, empathy and putting ourselves in other people’s shoes …

Knowing how to recognize your mistakes and knowing that others also have their problems and empathizing is precious … pic.twitter.com/OXo3wbsyAK

— Figen (@TheFigen_) October 6, 2024

From DSC:
I don’t care whether this video won an Oscar or not — it’s message is incredibly powerful.

Duolingo Introduces AI-Powered Innovations at Duocon 2024 + an AI-based reading coach

On 10/05/2024, in 21st century, 24x7x365 access, corporate / business world, corporate universities / corporate training, education, education technology, emerging technologies, engagement / engaging students, experimentation, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, multimedia, Natural Language Processing (NLP), online learning, online media, online tutoring, personalized/customized learning, platforms, reading, skills, student-related, tools, United States, usability, user experience (UX), user interface design, vendors, videoconferencing, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, writing, by Daniel Christian

Duolingo Introduces AI-Powered Innovations at Duocon 2024 — from investors.duolingo.com; via Claire Zau

Duolingo’s new Video Call feature represents a leap forward in language practice for learners. This AI-powered tool allows Duolingo Max subscribers to engage in spontaneous, realistic conversations with Lily, one of Duolingo’s most popular characters. The technology behind Video Call is designed to simulate natural dialogue and provides a personalized, interactive practice environment. Even beginner learners can converse in a low-pressure environment because Video Call is designed to adapt to their skill level. By offering learners the opportunity to converse in real-time, Video Call builds the confidence needed to communicate effectively in real-world situations. Video Call is available for Duolingo Max subscribers learning English, Spanish, and French.

And here’s another AI-based learning item:

AI reading coach startup Ello now lets kids create their own stories — from techcrunch.com by Lauren Forristal; via Claire Zau

Ello, the AI reading companion that aims to support kids struggling to read, launched a new product on Monday that allows kids to participate in the story-creation process.

Called “Storytime,” the new AI-powered feature helps kids generate personalized stories by picking from a selection of settings, characters, and plots. For instance, a story about a hamster named Greg who performed in a talent show in outer space.

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. [Zeff]

On 10/05/2024, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, career development, cloud-based computing / apps / other cloud-related, curriculum, Daniel S. Christian, emerging technologies, future, game-changing environment, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, lifelong learning, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, reinvent, skills, staying relevant, tools, training / L&D, United States, vendors, workplace, by Daniel Christian

Workera’s CEO was mentored by Andrew Ng. Now he wants an AI agent to mentor you. — from techcrunch.com by Maxwell Zeff; via Claire Zau

On Tuesday, Workera announced Sage, an AI agent you can talk with that’s designed to assess an employee’s skill level, goals, and needs. After taking some short tests, Workera claims Sage will accurately gauge how proficient someone is at a certain skill. Then, Sage can recommend the appropriate online courses through Coursera, Workday, or other learning platform partners. Through chatting with Sage, Workera is designed to meet employees where they are, testing their skills in writing, machine learning, or math, and giving them a path to improve.

From DSC:
This is very much akin to what I’ve been trying to get at with my Learning from the Living [AI-Based Class] Room vision. And as learning agents come onto the scene, this type of vision should take off!

Students at This High School Do Internships. It’s a Game Changer — from edweek.org by Elizabeth Heubeck

Disengaged students. Sky-high absenteeism. A disconnect between the typical high school’s academic curriculum and post-graduation life.

These and related complaints about the American high school experience have been gathering steam for some time; the pandemic exacerbated them. State-level policymakers have taken note, and many are now trying to figure out how to give high school students access to a more relevant and engaging experience that prepares them for a future—whether it involves college or doesn’t.
…
After a slow start, the school’s internship program has grown exponentially. In 2019-20, just five students completed internships, mainly due to the logistical challenges the pandemic presented. This past year, it grew to over 180 participating seniors, with more than 200 community organizations agreeing to accept interns.

How Do Today’s High Schoolers Fare As They Enter Adulthood? View the Data — from edweek.org by Sarah D. Sparks

Even when students have access to high-quality dual-credit programs, they often do not get guidance about the academic and workplace requirements of particular fields until it’s too late, said Julie Lammers, the senior vice president of advocacy and corporate social responsibility for American Student Assistance, a national nonprofit focused on helping young people learn about college and careers.

“We need to start having career conversations with young people much earlier in their trajectory, at the time young people are still open to possibilities,” Lammers said. “If they don’t see themselves in science by 8th grade, STEM careers come off the table.”

Cost plays a big role in the decision to attend and stay in college. The Education Data Initiative finds that on average, students in 2024 racked up nearly$38,000 in debt to pursue a bachelor’s degree, with many expecting to take up to 20 years to pay it off.

Transforming Education From School-Centered to Learner-Centered
Centering Learners by Design: Shaping the Future of Education — from gettingsmart.com

What outcomes do we truly desire for young people? Many students feel that their current educational experiences do not prepare them adequately for real-world challenges. Supported by data on attendance, disengagement, and stress, it’s evident that a shift is needed. To move beyond outdated school-centered models, we must embrace a learner-centered paradigm that fosters flexibility, personalization, and authentic community engagement. Innovative approaches like multiage microschools and passion projects are transforming how students learn by fostering real-world skills, confidence, and community engagement.

These learner-centered models—ranging from personalized projects to collaborative problem-solving—provide actionable strategies to create environments where every student can thrive. Schools are moving away from one-size-fits-all systems and embracing approaches like flexible learning pathways, mentorship opportunities, and community-integrated learning. These strategies are not only closing the gap between education and the skills needed for the future but also reshaping public schools into dynamic hubs of innovation.

Key Points

Engaging parents, youth, teachers, principals, district leaders, community members, and industry experts in the co-design process ensures that education systems align with the aspirations and needs of the community.
Transitioning from a traditional school-centered model to a learner-centered approach is critical for preparing students with the skills needed to thrive in the 21st century.

Helping Neurodiverse Students Learn Through New Classroom Design — from insidehighered.com by Michael Tyre
Michael Tyre offers some insights into how architects and administrators can work together to create better learning environments for everyone.

We emerged with two guiding principles. First, we had learned that certain environments—in particular, those that cause sensory distraction—can more significantly impact neurodivergent users. Therefore, our design should diminish distractions by mitigating, when possible, noise, visual contrast, reflective surfaces and crowds. Second, we understood that we needed a design that gave neurodivergent users the agency of choice.

The importance of those two factors—a dearth of distraction and an abundance of choice—was bolstered in early workshops with the classroom committee and other stakeholders, which occurred at the same time we were conducting our research. Some things didn’t come up in our research but were made quite clear in our conversations with faculty members, students from the neurodivergent community and other stakeholders. That feedback greatly influenced the design of the Young Classroom.

We ended up blending the two concepts. The main academic space utilizes traditional tables and chairs, albeit in a variety of heights and sizes, while the peripheral classroom spaces use an array of less traditional seating and table configurations, similar to the radical approach.

On a somewhat related note, also see:

Unpacking Fingerprint Culture — from marymyatt.substack.com by Mary Myatt

This post summarises a fascinating webinar I had with Rachel Higginson discussing the elements of building belonging in our settings.

We know that belonging is important and one of the ways to make this explicit in our settings is to consider what it takes to cultivate an inclusive environment where each individual feels valued and understood.

Rachel has spent several years working with young people, particularly those on the periphery of education to help them back into mainstream education and participating in class, along with their peers.

Rachel’s work helping young people to integrate back into education resulted in schools requesting support and resources to embed inclusion within their settings. As a result, Finding My Voice has evolved into a broader curriculum development framework.

Giving ELA Lessons a Little Edtech Boost — from edutopia.org by Julia Torres
Common activities in English language arts classes such as annotation and note-taking can be improved through technology.

6 ELA Practices That Can Be Enhanced by EdTech

Book clubs.
Collective note-taking.
Comprehension checks.
Video lessons.
..and more

Using Edtech Tools to Differentiate Learning— from edutopia.org by Katie Novak and Mary E. Pettit
Teachers can use tech tools to make it easier to give students choice about their learning, increasing engagement.

3 UDL-Aligned EdTech Tools

Digital audiobook platforms.
Multimedia presentation tools.
Digital annotation tools.

Learning Ecosystems

An AI/robotic-based idea for automakers/suppliers out there [Christian]

Categories

Tags