teachers

Educational practices to identify and support students experiencing homelessness [Pavlakis, Kessa Roberts, Richards, Hill & Mirakhur]

On 02/05/2024, in education, education reform, instructional design, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, neurodivergent/special needs, parents/guardians, society, sociology, student-related, surviving, teachers, youth, by Daniel Christian

Educational practices to identify and support students experiencing homelessness — from edresearchforaction.org by Alexandra Pavlakis, J. Kessa Roberts, Meredith Richards, Kathryn Hill. & Zitsi Mirakhur

The EdResearch for Action Overview Series summarizes the research on key topics to provide K-12 education decision makers and advocates with an evidence base to ground discussions about how to best serve students. Authors – leading experts from across the field of education research – are charged with highlighting key findings from research that provide concrete, strategic insight on persistent challenges sourced from district and state leaders.

“Unlocking productivity and personalizing learning with AI” [Microsoft Education Team] + other items related to AI in our LEs

On 01/21/2024, in 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, education technology, emerging technologies, experimentation, faculty/staff, future of higher education, game-changing environment, higher education, instructional design, intelligent systems, intelligent tutoring, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, Microsoft, personalized/customized learning, platforms, productivity / tips and tricks, reading, teachers, teaching & learning, tools, United States, universities, writing, by Daniel Christian

Unlocking productivity and personalizing learning with AI — from educationblog.microsoft.com by Microsoft Education Team

Today, we’re announcing the next wave of AI innovations from Microsoft Education that will help unlock productivity and personalize learning. This includes expanded Copilot for Microsoft 365 availability and Loop coming to education. We’re also sharing news about AI built for education such as Reading Coach and features designed to free up time for educators and personalize learning. As part of our continued work to build AI literacy, we’ve launched our latest course for educators and a new learning path on Microsoft Learn. And earlier this week we outlined Microsoft’s position and themes for policymakers to consider around advancing youth online safety and wellness.

With the latest AI technology, we have an opportunity to provide learners with personalized, engaging, and transformative reading experiences. Reading Coach, a Learning Accelerator now powered by generative AI, does just that. You can sign up for a preview of Reading Coach today and try it for yourself at coach.microsoft.com.

Recap: Winter AI Institute for Teachers — from umcetl.substack.com

Last week, CETL partnered with the Department of Writing and Rhetoric to offer a second iteration of the AI Institute for Teachers to an audience of UM instructors from across disciplines. Nearly 60 faculty from 26 different departments and schools attended the three-day event. In a wide variety of interactive sessions designed by Institute leader Marc Watkins, participants examined the impact of generative AI on teaching and learning, working in small groups to consider how to approach AI in their own disciplines.

If you’re not a UM faculty member or couldn’t attend the sessions, we have good news! All the materials from the Institute are publicly available at the following links:

And we’ve written a short recap of the Institute here.

Learn with AI — from the University of Maine

Rather than try to ban this technology from classrooms outright, the Learning With AI project asks if this moment offers an opportunity to introduce students to the ethical and economic questions wreaked by these new tools, as well as to experiment with progressive forms of pedagogy that can exploit them.

8 Ed Tech Tools to Try in 2024 [Gonzalez & Co.]

On 01/19/2024, in Artificial Intelligence/Agents/LLMs/and Related, ideas, instructional design, intelligent systems, K-12 related, learning ecosystem, Learning Experience Design, teachers, tools, by Daniel Christian

8 Ed Tech Tools to Try in 2024 — from cultofpedagogy.com by Jennifer Gonzalez, along with several others

But probably the most noticeable difference is that there’s a running theme of AI throughout the guide. First, there’s a nine-page spread devoted entirely to artificial intelligence — digging into how it works, what teachers are concerned about, some really good places to go to learn more, and 12 tools whose primary function is leveraging the power of AI. In addition to that, we went through the rest of the guide and put a little AI icon on every single tool that uses AI in some way, so you can see whether the tools you already know and love have started to take advantage of what artificial intelligence has to offer.

Speaking of teaching, also see:

Make class prep easy with 8 flexible prompts for retrieval practice [Agarwal]

On 01/19/2024, in adjunct faculty, colleges, community colleges, corporate universities / corporate training, faculty/staff, higher education, homeschooling/homeschoolers, instructional design, K-12 related, learning, Learning Experience Design, memory, teachers, teaching & learning, training / L&D, universities, by Daniel Christian

Make class prep easy with 8 flexible prompts for retrieval practice — from retrievalpractice.org by Pooja K. Agarwal, Ph.D.

Here are 8 flexible prompts you can customize for your students:

What would you like to remember about [topic]? Why is this important to you?
What was really memorable for you about [topic]? Why did it stand out to you?
What is one thing that’s surprising or confusing to you about [topic]?
What is one thing I didn’t ask you about [topic] that you learned?
What is an example of [topic] from your own life?
…plus three others

Having educators use their networks to help sponsor their students seems like a great way to help marginalized students get employed and ahead. [Christian]

On 01/12/2024, in career development, education, ideas, K-12 related, student-related, teachers, United States, workplace, youth, by Daniel Christian

Teachers Told Us They’ve Used AI in the Classroom. Here’s Why — from edweek.org by Lauraine Langreo

One-third of K-12 teachers say they have used artificial intelligence-driven tools in their classroom, according to an EdWeek Research Center survey of educators conducted between Nov. 30 and Dec. 6, 2023.

Of those who said they’ve used AI tools, 21 percent said they’ve used them a little, 10 percent said they’ve used them some, and 2 percent said they’ve used them a lot, according to the survey, which included 498 teachers.

…
Here’s how and why some educators say they’ve been using AI tools in the classroom:

What will the world look like when AI can do in minutes what we can do in 3 weeks (or longer)? That time is here. — from stefanbauschard.substack.com by Stefan Bauschard
Are we preparing students for a world where most existing knowledge work will be done by machines?

I see education heading down one of two paths.

Path 1 — We keep telling the teachers AI cannot do their jobs because it can’t do everything humans can do, and we keep telling kids that learning with AI is cheating and that they will amount to nothing if they use AIs to help do their work. This path is a path toward the irrelevance of educational institutions. AIs can and will be able to do most of what we do. AIs may not be able to do everything as well as us, but at least a lot of the things we do, they will be able to do better.

Path 2 — We help students and teachers understand the world that is emerging around them. Level with them. Explain that the future of every single job is uncertain. Explain that in past technological revolutions that occurred over a much longer period of time than this, many people lost their jobs. Explain that society is about to be substantially disrupted, probably in greater ways than it ever has been before, and certainly faster than ever before. Inform them that every “future of employment” report identifies soft/ durable skills and AI technology skills as the known job skills of the future. Let them know that the future economic value of all knowledge work is uncertain.

From DSC:
Though this next item is not about AI in our learning ecosystems, it caught my eye because having educators use their networks to help sponsor their students seems like a great way to help marginalized students get employed and ahead.

The job market is changing. Here’s how educators can help students keep up. — from kqed.org by Nimah Gobir

Ana Homayoun, an early career development expert and author of Erasing the Finish Line: The New Blueprint for Success Beyond Grades and College Admission, said that educators can support students from marginalized identities by proactively providing resources and support. “Our role as sponsors is really important,” said Homayoun. “That’s a term that I use to describe this idea of creating opportunities for economic growth.” She added that sponsorship includes identifying students that might be facing barriers and leveraging one’s network to give them a leg up.

Advice to schools — from theneurondaily.com
PLUS: 7 GPTs you need start using!

Now, here are some of the best resources we’ve found for incorporating AI into classrooms:

TeachAI’s “AI Guidance for Schools Toolkit”.
AutomatED—excellent newsletter on how to teach better with AI.
Ethan Mollick: Wharton Prof offering key insights into AI in education; take his mini-course here.
How to update your assignments to align with the realities of the AI age.

How to Co-Design Curriculum: Fostering Inclusivity through Shared Family Narratives — from gettingsmart.com by Jimmy McCue

Key Points

Discover a learner-centric curriculum at Embark Education, where learners recently co-designed a transformative project centered around family narratives and recipes.
Explore the intersection of culinary traditions, empathy, and critical analysis as learners delve into the complexities of cultural revitalization, shifting demographics, and systemic inequities in their communities.
Engage with a hands-on approach to competency-based education, culminating in the creation of a culturally rich product in collaboration with local community partners, fostering a deep sense of pride and ownership among learners and their respective communities, alike.

From DSC:
I especially like the learner-centered approach, along with the collaboration with local community partners here. As described in Getting Smart’s Smart Update:

Microschool Spotlight: Embark Education

Getting Smart admires Embark Education’s innovative approach for reimagining the middle school experience, recognizing the pivotal nature of adolescence. With a commitment to providing personalized and relevant learning experiences, Embark supports learners in courageously exploring, engaging, and discovering their sense of self, contributing to the broader mission of revolutionizing education.

“We are anchored in the unwavering belief that by simply trusting learners, both youth and adults, we create the conditions for them to curiously and confidently unlock their potential – and that their potential is limitless.” – Brian Hyosaka, Head of School

AI University for UK? [Clark]

On 01/05/2024, in 21st century, 24x7x365 access, apprenticeships, Artificial Intelligence/Agents/LLMs/and Related, assessment, change, changing business models, competency-based learning/education, content development, aggregation, repositories, credentialing, culture, curriculum, Design Thinking, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, lifelong learning, multimedia, online learning, open courseware and systems, personalized/customized learning, strategy, student-related, teachers, teaching & learning, teaching online, tools, UK, United States, universities, vision/possibilities, by Daniel Christian

AI University for UK? — from donaldclarkplanb.blogspot.com by Donald Clark

Tertiary Education in the UK needs a fresh idea. What we need is an initiative on the same scale as The Open University, kicked off over 50 years ago.
…
It is clear that an educational vision is needed and I think the best starting point is that outlined and executed by Paul LeBlanc at SNHU. It is substantial, well articulated and has worked in what has become the largest University in the US.

It would be based on the competence model, with a focus on skills shortages. Here’s a starter with 25 ideas, a manifesto of sorts, based on lessons learnt from other successful models:

Non-traditional students in terms of age and background
Quick and easy application process
Personalised learning using AI
Multimodal from the start
Full range of summarisation, create self-assessment, dialogue tools
Focus on generative learning using AI
…and Donald lists many more (ending at #25)

ChatGPT Has Changed Teaching. Our Readers Tell Us How. [McMurtrie & Supiano] + other items re: AI in our Learning Ecosystems

On 12/20/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, change, colleges, community colleges, content development, aggregation, repositories, education, education technology, emerging technologies, engagement / engaging students, experimentation, faculty/staff, future, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, more voice more choice more control, productivity / tips and tricks, professional development, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, tools, trends, United States, universities, vendors, vision/possibilities, writing, by Daniel Christian

K12 District-Level Perspectives on AI — from aiforeducation.io by Amanda Bickerstaff, Dr. Patrick Gittisriboongul, Samantha Armstrong, & Brett Roer

Want to know how K12 schools are navigating the adoption of AI and what district-level leaders really think about GenAI EdTech tools?

Join us for this free webinar where we discussed AI technology, literacy, training, and the responsible adoption of GenAI tools in K12. Our panel explored what is working well – and not so well – across their districts from a school leader and practitioner’s perspective.

ChatGPT Has Changed Teaching. Our Readers Tell Us How. — from chronicle.com by Beth McMurtrie and Beckie Supiano

Those vastly different approaches to college writing pretty much sum up the responses to generative AI: They’re all over the map.

One year after its release, ChatGPT has pushed higher education into a liminal place. Colleges are still hammering out large-scale plans and policies governing how generative AI will be dealt with in operations, research, and academic programming. But professors have been forced more immediately to adapt their classrooms to its presence. Those adaptations vary significantly, depending on whether they see the technology as a tool that can aid learning or as a threat that inhibits it.
…
Nearly 100 faculty members shared their stories. While not a representative sample, they teach at a wide range of institutions: 15 community colleges, 32 public and 24 private four-year colleges or universities, seven international institutions, and one for-profit college. They teach a variety of subjects, including animal science, statistics, computer science, history, accounting, and composition. Many spent hours learning about AI: enrolling in workshops and webinars, experimenting with the tools, and reading articles, so that they could enter the fall semester informed and prepared.

The Disruption of AI in CTE Is Real — from techlearning.com by Annie Galvin Teich
An ACTE expert panel urges CTE educators to jump on the AI train as it’s already left the station

10 Best Practices for AI and CTE

Embrace AI and use it first for simple tasks to create efficiencies. Then use it to individualize instruction and for formative assessment tools aligned to standards.
Be creative and conscious of internal bias and ethics. Focus on DEI and access.
Encourage students to use apps and tools to start moving toward an integrated curriculum using AI.
Prepare students for jobs of the future by partnering with industry to solve real problems.
…and others

How are universities responding to generative AI? — from medium.com by Nic Newman
What’s next for higher education as we enter a new wave of edtech innovation: AI-powered learning

Where will AI make a big difference?
At Emerge, we have identified eight high-level trends — what we’re calling “engines of opportunity”. These eight “engines of opportunity” capture our ideas about how AI is being used to drive better practice and outcomes in HE, now and into the future.

They fall into two main categories:

Making learning more engaging: solutions that scale high quality pedagogy at low cost.
Making teaching more efficient: solutions that save educators and organisations time and money.

Tips on making professional-looking, engaging videos for online courses — from timeshighereducation.com by Geoff Fortescue
Making videos for online classes doesn’t have to be costly. Here are ways to make them look professional on a budget

During lockdown, we were forced to start producing videos for Moocs remotely. This was quite successful, and we continue to use these techniques whenever a contributor can’t come to the studio. The same principles can be used by anyone who doesn’t have access to a media production team. Here are our tips on producing educational videos on a budget.

Learning Societies — “A sweet spot between traditional schooling and at-home online learning” [Gottlieb]

On 12/20/2023, in Alternatives, education, education reform, experimentation, homeschooling/homeschoolers, ideas, instructional design, K-12 related, learning ecosystem, Learning Experience Design, online learning, student-related, teachers, teaching & learning, United States, user experience (UX), vision/possibilities, youth, by Daniel Christian

The Rise of Learning Societies — from educationnext.org by Alan Gottlieb
A small experiment in rural Idaho holds big promise for student success

Excerpt (emphasis DSC):

The basic idea is this: Some parents who, for a variety of reasons, hesitate to send their children to a traditional brick-and-mortar school have neither the time, inclination, or temperament to homeschool or to monitor a full-time online program. Learning Societies provide an intimate environment where kids, supervised by professional educators, learn online and in small, in-person groups for six hours a day. Gem Prep leaders describe it as a sweet spot between traditional schooling and at-home online learning. It is particularly well suited to rural areas.

Learning Societies have the potential to achieve a happy medium that combines the strengths of both homeschooling (or online learning from home) and a traditional brick-and-mortar school.

Using Drawing as a Powerful Learning Tool [Tlili]

On 12/20/2023, in art, education, experimentation, graphics, ideas, instructional design, K-12 related, learning, Learning Experience Design, memory, multimedia, science, student-related, teachers, by Daniel Christian

Using Drawing as a Powerful Learning Tool — from edutopia.org by Selim Tlili
When students draw something they’re learning about, they’re more likely to remember key details.

One of my main goals as a science teacher is to open students up to seeing all of those beautiful and interesting details. I do that by having students draw things and clearly write what they observe. Drawing something requires students to look at their subject far longer than they are accustomed. Writing what they see forces them to consciously acknowledge it. I explain to students that just as every single human is unique, so is every coin, plant, and salt crystal.

An Opinionated Guide to Which AI to Use: ChatGPT Anniversary Edition — from oneusefulthing.org by Ethan Mollick
A simple answer, and then a less simple one.

If you are at all interested in generative AI and understanding what it can do and why it matters, you should just get access to OpenAI’s GPT-4 in as unadulterated and direct way as possible. Everything else comes after that.
…
Now, to be clear, this is not the free ChatGPT, which uses GPT-3.5.

1. America’s Next Top Model LLMs in Educational Settings

PDF
Topics Discussed:
Need for a Comprehensive Student-Centric Approach
Collaboration between EdTech Companies and Educators
Personalized Learning Orchestration
Innovation and Agility of Startups vs. Resources of Big Tech
The Essential Role of AI in Transforming Education
Video recording from Edtech Insiders

2. Hello, Mr. Chips: AI Teaching Assistants, Tutors, Coaches and Characters

PDF
Topics discussed:
Engagement and Co-Creation
Educator Skills and AI Implementation
Teacher Empowerment and Student Creativity
Efficacy and Ethical Concerns
Video recording from Edtech Insiders

3. A Road Less Traveled: AI-Powered Personalized Learning Paths and Study Tools

PDF
Topics Discussed:
Supporting Early Learning Teachers with AI Augmentation
Automation of Routine Tasks for Teachers
Personalization and Ethics in AI
Responsibility in AI Tools for Teachers
Balancing Personal and Communal Learning
Video recording from Edtech Insiders

He Was Falsely Accused of Using AI. Here’s What He Wishes His Professor Did Instead | Tech & Learning — from techlearning.com by Erik Ofgang
When William Quarterman was accused of submitting an AI-generated midterm essay, he started having panic attacks. He says his professor should have handled the situation differently.

Teaching: Practical AI strategies for the classroom — from chronicle.com by Beckie Supiano and Luna Laliberte

Here are several strategies you can try.

Quick Hits: Several presenters suggested exercises that can be quick, easy, and fun for students. Invite your class to complete a Mad Libs using ChatGPT. It’s a playful way to leverage ChatGPT’s ability to predict the next word, giving students insight into how generative AI works on a fundamental level. You can also have your students use ChatGPT to rewrite their own writing in the tone and style of their favorite writers. This exercise demonstrates AI’s ability to mimic style and teaches students about adopting different tones in writing.
Vetting Sources
Grade ChatGPT
Lead by Example

Embracing Artificial Intelligence in the Classroom — from gse.harvard.edu; via Alex Webb at Bloomberg
Generative AI tools can reflect our failure of imagination and that is when the real learning starts

Class Disrupted S5 E3: The Possibilities & Challenges of Artificial Intelligence in the Classroom — from the74million.org by Michael B. Horn & Diane Tavenner
AI expert and Minerva University senior Irhum Shafkat joins Michael and Diane to discuss where the technology is going.

Schools urged to teach children how to use AI from age of 11 — from news.sky.com by Tom Acres
Artificial intelligence tools such as ChatGPT are being used by children to help with homework and studying – and there are calls for it to become a central part of the school curriculum.

Excerpt (emphasis DSC):

Schools have been urged to teach children how to use AI from the age of 11 as the technology threatens to upend the jobs market.

Rather than wait for pupils to take up computer science at GCSE, the British Computer Society (BCS, The Chartered institute for IT) said all youngsters need to learn to work with tools like ChatGPT.

The professional body for computing wants a digital literary qualification to be introduced, with a strong focus on artificial intelligence and its practical applications.

An understanding of AI should also become a key part of teacher training and headteacher qualifications, it added.

Improving Your Teaching With an AI Coach — from edutopia.org by Stephen Noonoo
New tools are leveraging artificial intelligence to help teachers glean insights into how they interact with students.

COMMENTARY
Embracing artificial intelligence in the workforce starts with higher education — from nebraskaexaminer.com by Jaci Lindburg and Cassie Mallette

When students can understand the benefit of using it effectively, and learn how to use AI to brainstorm, problem solve, and think through decision making scenarios, they can work more efficiently, make difficult decisions faster and improve a company’s production output.

It is through embracing the power and potential of AI that we can equip our students with future-ready skills. Through intentional teaching strategies that guide students to think creatively about how to use AI in their work, higher education can ensure that students are on the cutting edge in terms of using advancing technologies and being workforce ready upon graduation.

Also see:

The ChatGPT/AI Prompt Book is a resource for the UNO community that demonstrates how students can use AI in their studies and how faculty can incorporate it into their courses and daily work. The goal: to teach individuals how to be better prompt engineers and develop the skills needed to utilize this emerging technology as one of the many tools available to them in the workforce.

Two Ideas for Teaching with AI: Course-Level GPTs and AI-Enhanced Polling — from derekbruff.org by Derek Bruff

Excerpt (emphasis DSC):

Might we see course-level GPTs, where the chatbot is familiar with the content in a particular course and can help students navigate and maybe even learn that material? The answer is, yes and they’re already here. Top Hat recently launched Ace, an AI-powered learning assistant embedded in its courseware platform. An instructor can activate Ace, which then trains itself on all the learning materials in the course. Students can then use Ace as a personal tutor of sorts, asking it questions about course material.

Reflections On AI Policies in Higher Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
And Why First-Hand Generative AI Experience is Crucial for Leadership

AI is already showing far-reaching consequences for societies and educational institutions around the world. It is my contention that it is impossible to set strategic direction for AI in higher education if you haven’t yet tried working with the technology yourself. The first wave of overwhelming, profound surprise simply cannot be outsourced to other parts of the organization.

I mention this because the need for both strategic and operational guidance for generative AI is growing rapidly in higher education institutions. Without the necessary – and quite basic – personal generative AI experience, however, it becomes difficult for leadership to meaningfully direct and anchor AI in the organization.

And without clear guidance in place, uncertainty arises for all internal stakeholders about expectations and appropriate uses of AI. This makes developing an institutional AI policy not just sensible, but necessary.

A free report for educational leaders and policymakers who want to understand the AI World — from stefanbauschard.substack.com by Stefan Bauschard
And the immediate need for AI literacy

Beyond synthesizing many ideas from educational theory and AI deep learning, the report provides a comprehensive overview of developments in the field of AI, including current “exponential advances.” It’s updated through the release of Gemini and Meta’s new “Seamless” translation technology that arguably eliminates the need for most translators, and probably even the need to learn to speak another language for most purposes.

We were a mere 18 hours too late from covering an entire newscast (and news channel) that is produced with AI in a way that creates representations that are indistinguishable from what is “real” (see below) though it super-charges our comprehensive case and immediate AI literacy.

We also provide several suggestions and a potential roadmap for schools to help students prepare for an AI World where computers are substantialy smarter than them in many ways.

Notebook LM (experiment): Collaborate with a virtual research assistant

On 12/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, corporate universities / corporate training, creativity, Daniel S. Christian, digital learning, education technology, emerging technologies, experimentation, future, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, online learning, online media, platforms, productivity / tips and tricks, professional development, research, student-related, teachers, teaching & learning, teaching online, tools, training / L&D, United States, universities, vendors, vision/possibilities, by Daniel Christian

Google NotebookLM (experiment)

From DSC:
Google hopes that this personalized AI/app will help people with their note-taking, thinking, brainstorming, learning, and creating.

It reminds me of what Derek Bruff was just saying in regards to Top Hat’s Ace product being able to work with a much narrower set of information — i.e., a course — and to be almost like a personal learning assistant for the course you are taking. (As Derek mentions, this depends upon how extensively one uses the CMS/LMS in the first place.)

Learning Ecosystems

Tips on making professional-looking, engaging videos for online courses [Fortescue]

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