instructional design

“OpenAI announces first partnership with a university” [Field] + other items re: AI in our Learning Ecosystems

On 01/19/2024, in adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, collaboration, colleges, community colleges, corporate / business world, curriculum, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, leadership, learning agents, learning ecosystem, mathematics, Open AI, personalized/customized learning, platforms, productivity / tips and tricks, strategy, teaching & learning, tools, training / L&D, trends, United States, universities, using teams, vendors, web-based collaboration, workplace, by Daniel Christian

OpenAI announces first partnership with a university — from cnbc.com by Hayden Field

Key Points:

OpenAI on Thursday announced its first partnership with a higher education institution.
Starting in February, Arizona State University will have full access to ChatGPT Enterprise and plans to use it for coursework, tutoring, research and more.
The partnership has been in the works for at least six months.
ASU plans to build a personalized AI tutor for students, allow students to create AI avatars for study help and broaden the university’s prompt engineering course.

A new collaboration with OpenAI charts the future of AI in higher education — from news.asu.edu

The collaboration between ASU and OpenAI brings the advanced capabilities of ChatGPT Enterprise into higher education, setting a new precedent for how universities enhance learning, creativity and student outcomes.

“ASU recognizes that augmented and artificial intelligence systems are here to stay, and we are optimistic about their ability to become incredible tools that help students to learn, learn more quickly and understand subjects more thoroughly,” ASU President Michael M. Crow said. “Our collaboration with OpenAI reflects our philosophy and our commitment to participating directly to the responsible evolution of AI learning technologies.”

AI <> Academia — from drphilippahardman.substack.com by Dr. Philippa Hardman
What might emerge from ASU’s pioneering partnership with OpenAI?

Phil’s Wish List #2: Smart Curriculum Development
ChatGPT assists in creating and updating course curricula, based on both student data and emerging domain and pedagogical research on the topic.

Output: using AI it will be possible to review course content and make data-informed automate recommendations based on latest pedagogical and domain-specific research

Potential Impact: increased dynamism and relevance in course content and reduced administrative lift for academics.

A full list of AI ideas from AI-for-Education.org

You can filter by category, by ‘What does it do?’, by AI tool or search for keywords.

Navigating the new normal: Adapting in the age of AI and hybrid work models — from chieflearningofficer.com by Dr. Kylie Ensrud

Unlike traditional leadership, adaptable leadership is not bound by rigid rules and protocols. Instead, it thrives on flexibility. Adaptable leaders are willing to experiment, make course corrections, and pivot when necessary. Adaptable leadership is about flexibility, resilience and a willingness to embrace change. It embodies several key principles that redefine the role of leaders in organizations:

Embracing uncertainty

Adaptable leaders understand that uncertainty is the new norm. They do not shy away from ambiguity but instead, see it as an opportunity for growth and innovation. They encourage a culture of experimentation and learning from failure.

Empowering teams

Instead of dictating every move, adaptable leaders empower their teams to take ownership of their work. They foster an environment of trust and collaboration, enabling individuals to contribute their unique perspectives and skills.

Continuous learning

Adaptable leaders are lifelong learners. They are constantly seeking new knowledge, stay informed about industry trends and encourage their teams to do the same. They understand that knowledge is a dynamic asset that must be constantly updated.

Major AI in Education Related Developments this week — from stefanbauschard.substack.com by Stefan Bauschard
ASU integrates with ChatGPT, K-12 AI integrations, Agents & the Rabbit, Uruguay, Meta and AGI, Rethinking curriculum

“The greatest risk is leaving school curriculum unchanged when the entire world is changing.”
Hadi Partovi, founder Code.org, Angel investor in Facebook, DropBox, AirBnb, Uber

Tutorbots in college. On a more limited scale, Georgia State University, Morgan State University, and the University of Central Florida are piloting a project using chatbots to support students in foundational math and English courses.

Pioneering AI-Driven Instructional Design in Small College Settings — from campustechnology.com by Gopu Kiron
For institutions that lack the budget or staff expertise to utilize instructional design principles in online course development, generative AI may offer a way forward.

Unfortunately, smaller colleges — arguably the institutions whose students are likely to benefit the most from ID enhancements — frequently find themselves excluded from authentically engaging in the ID arena due to tight budgets, limited faculty online course design expertise, and the lack of ID-specific staff roles. Despite this, recent developments in generative AI may offer these institutions a low-cost, tactical avenue to compete with more established players.

Google’s new AI solves math olympiad problems — from bensbites.beehiiv.com

There’s a new AI from Google DeepMind called AlphaGeometry that totally nails solving super hard geometry problems. We’re talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.

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

On 01/19/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, 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, 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

Four Disruptive Trends For Higher Ed In 2024 — from michaelbhorn.substack.com by Michael B. Horn

More colleges will close or merge.
Online learning will continue to have its moment, but a shakeout is beginning.
Big colleges and universities will get bigger.
Apprenticeships will gain more traction outside of the trades.

Speaking of higher education and disruptions, also see the following item — via Ray Schroeder on LinkedIn:

Experts predicted dozens of colleges would close in 2023 – and they were right — from hechingerreport.org by Olivia Sanchez
Even more colleges will likely close in coming years as enrollment problems worsen

Though college enrollment seems to be stabilizing after the pandemic disruptions, predictions for the next 15 years are grim. Colleges will be hurt financially by fewer tuition-paying students, and many will have to merge with other institutions or make significant changes to the way they operate if they want to keep their doors open.

At least 30 colleges closed their only or final campus in the first 10 months of 2023, including 14 nonprofit colleges and 16 for-profit colleges, according to an analysis of federal data by the State Higher Education Executive Officers Association, or SHEEO. Among nonprofits, this came on the heels of 2022, when 23 of them closed, along with 25 for-profit institutions. Before 2022, the greatest number of nonprofit colleges that closed in a single year was 13.

Your classmate could be an AI student at this Michigan university [Frick] + other AI in our Learning Ecosystems

On 01/14/2024, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, collaboration, colleges, community colleges, consortiums, emerging technologies, experimentation, faculty, innovation, instructional design, learning ecosystem, Learning Experience Design, Michigan, personalized/customized learning, United States, universities, by Daniel Christian

Your classmate could be an AI student at this Michigan university — from mlive.com by Melissa Frick

BIG RAPIDS, MI – A Michigan university is believed to be the first in the country to use artificial intelligence (AI) to create virtual students that will enroll in classes and participate in lessons and assignments.

Ferris State University, which has one of just three undergraduate AI programs in the U.S., has developed two AI students who are enrolling at Ferris State as freshmen this semester and taking classes alongside human classmates.

At first, Ann and Fry will only be able to observe the class, but the goal is for the AI students to soon be able to speak during classroom discussions and have two-way conversations with their classmates, Thompson said.

Also relevant, see:

These two new Ferris State students are actually AI — from woodtv.com by Demetrios Sanders

BIG RAPIDS, Mich. (WOOD) — As Ferris State University gets ready for its spring semester, two virtual students will begin classes as part of a new artificial intelligence experiment.

Ferris State University offers one of three AI undergraduate programs in the entire country.

“We are leaders in the artificial intelligence area, and why not put us to the test?” said Dr. Kasey Thompson, special assistant to the president for innovation and entrepreneurship at Ferris State.

University enrolling AI-powered “Students” who will turn in assignments, participate in class discussions — from futurism.com
Even students aren’t safe from AI.

Students at Ferris State University in Michigan will soon be sharing the classroom with AI-powered freshman “students” who will enroll in classes alongside them, MLive reports.

And no, they won’t have humanoid robot bodies — they’ll be interacting with students via computers, microphones, and speakers.

In an experiment led by associate professor Kasey Thompson, AI students dubbed Ann and Fry will be listening — or scanning through? — lectures, work on assignments, and even actively participate in discussions with other students, per the report.

AI & “Un-Personalised” Learning — from drphilippahardman.substack.com by Dr. Philippa Hardman
Exploring the full potential of AI to improve human learning, beyond the 1:1 AI tutor

In this week’s blog post we will look at AI from a different angle and ask: what are the pros and cons of using AI for personalisation? And what’s the potential impact of using AI to optimise and scale more connected, communal learning experiences?
…
TL;DR: while personalised learning has some benefits for some learner outcomes, the social interaction and connected aspects of communal learning are proven to offer similar academic benefits, as well as additional socio-cultural benefits for a broader range of students.
…
AI for “Un-Personalised” Learning
The next question is, of course: how could we use AI to scale the positive outcomes of “un-personalised”, communal learning?

Here are some initial ideas:

How to make the most of ChatGPT in 2024 — from wondertools.substack.com by Jeremy Caplan
A Wonder Tools guide

N.Y. Governor Hochul Proposes $400 Million To Launch University AI Consortium — from forbes-com.cdn.ampproject.org by Michael T. Nietzel

New York Governor Kathy Hochul wants to make New York the nation’s leader in artificial intelligence research and development. As part of her State of the State address on Tuesday, Hochul proposed the creation of Empire AI – a consortium of the state’s research universities and other institutions that would form an artificial intelligence computing center in upstate New York.

Empire AI would include seven founding institutions—Columbia University, Cornell University, New York University, Rensselaer Polytechnic Institute, the State University of New York (SUNY), the City University of New York (CUNY), and the Simons Foundation.

North Carolina AI Education Guidance Release — from stefanbauschard.substack.com by Stefan Bauschard
“A” grade in my mind; it just needs to anticipate the near future a bit more

TLDR
The Guidance

*North Carolina has arguably issued the best AI guidance to date (IMHO), and I explain why below (my highlighted version is here). This is in no way a knock on the other guidance reports, as I think they offer a lot them of very important and essential guidance. I just really like how NC packages it and the emphasis they put on certain things.

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.

AI University for UK? [Clark]

On 01/05/2024, in 21st century, 24x7x365 access, apprenticeships, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, 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)

Your own AI-powered coaching; learn exactly what you need to know for your next job; + AI’s role in skill development

On 01/04/2024, in 21st century, adult learning, Alternatives, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, colleges, community colleges, corporate / business world, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, Microsoft, online learning, online media, online tutoring, organizational change, pace of change, platforms, professional development, reinvent, skills, streams of content, training / L&D, United States, universities, vendors, vision/possibilities, workplace, by Daniel Christian

Learners’ Edition: AI-powered Coaching, Professional Certifications + Inspiring conversations about mastering your learning & speaking skills — from linkedin.com by Tomer Cohen

Excerpts:

1. Your own AI-powered coaching
Learners can go into LinkedIn Learning and ask a question or explain a challenge they are currently facing at work (we’re focusing on areas within Leadership and Management to start). AI-powered coaching will pull from the collective knowledge of our expansive LinkedIn Learning library and, instantaneously, offer advice, examples, or feedback that is personalized to the learner’s skills, job, and career goals.

What makes us so excited about this launch is we can now take everything we as LinkedIn know about people’s careers and how they navigate them and help accelerate them with AI.

…

3. Learn exactly what you need to know for your next job
When looking for a new job, it’s often the time we think about refreshing our LinkedIn profiles. It’s also a time we can refresh our skills. And with skill sets for jobs having changed by 25% since 2015 – with the number expected to increase by 65% by 2030– keeping our skills a step ahead is one of the most important things we can do to stand out.

There are a couple of ways we’re making it easier to learn exactly what you need to know for your next job:

When you set a job alert, in addition to being notified about open jobs, we’ll recommend learning courses and Professional Certificate offerings to help you build the skills needed for that role.

When you view a job, we recommend specific courses to help you build the required skills. If you have LinkedIn Learning access through your company or as part of a Premium subscription, you can follow the skills for the job, that way we can let you know when we launch new courses for those skills and recommend you content on LinkedIn that better aligns to your career goals.

2024 Edtech Predictions from Edtech Insiders — from edtechinsiders.substack.com by Alex Sarlin, Ben Kornell, and Sarah Morin
Omni-modal AI, edtech funding prospects, higher ed wake up calls, focus on career training, and more!

Alex: I talked to the 360 Learning folks at one point and they had this really interesting epiphany, which is basically that it’s been almost impossible for every individual company in the past to create a hierarchy of skills and a hierarchy of positions and actually organize what it looks like for people to move around and upskill within the company and get to new paths.

Until now. AI actually can do this very well. It can take not only job description data, but it can take actual performance data. It can actually look at what people do on a daily basis and back fit that to training, create automatic training based on it.

From DSC:
I appreciated how they addressed K-12, higher ed, and the workforce all in one posting. Nice work. We don’t need siloes. We need more overall design thinking re: our learning ecosystems — as well as more collaborations. We need more on-ramps and pathways in a person’s learning/career journey.

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 / Machine Learning / Deep Learning / Algorithms, change, colleges, community colleges, content development, aggregation, repositories, education, education technology, emerging technologies, engagement / engaging students, experimentation, faculty, 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.

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.

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

On 12/13/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, 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.)

Reflections on “Syllabusters Are Outdated” [Zakrajsek]

On 12/13/2023, in adjunct faculty, colleges, community colleges, faculty, higher education, ideas, instructional design, law schools, learning, Learning Experience Design, pedagogy, teaching & learning, teaching online, United States, universities, by Daniel Christian

Syllabusters Are Outdated — from scholarlyteacher.com by Todd Zakrajsek

What does this all mean for the first day of class? Approach that first day with “learning-centered” in your mind. Focus on learning. Learning is all about curiosity and desire. Desire to know, to figure things out, to be surprised, all getting that dopamine flowing throughout the brain: That is what learning-centered is all about. An exam is best thought of as feedback, showing whether students are learning, not a date to cover on the first day and dread every class period in the meantime. An exam should never be the reason to learn, it should always be an indication of learning. Don’t spend your first 45 or 85 minutes focused solely on exams, term paper deadlines, and attendance policies. That moves teaching toward an artificial transactional arrangement where students learn in exchange for points and grades.

From DSC:
I would highly recommend starting out with a major HOOK. Some question, some video, some recording/piece of audio, etc. that would provoke interest, curiosity, or even some emotion. On that first day, the following item MUST be addressed if you expect to engage your students:

Why is this class/topic relevant?

Start with that. Immediately. The other stuff can be introduced later on, as Todd mentions.

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

On 12/07/2023, in Bias | Diversity Equity & Inclusion (DE&I), communications, education, Emotion, engagement / engaging students, instructional design, K-12 related, learning, Learning Experience Design, parents/guardians, participation, psychology, society, sociology, student-related, teachers, teaching & learning, 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, and 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.

Central Question
What evidence-based practices can schools and districts implement to identify and support students experiencing homelessness?

LERs Are Hot. What Are States Going To Do With Them?

Governors and state leaders are concerned about the current labor shortage, occurring during a time when many skilled workers are underemployed or even unemployed. Skills-based approaches to hiring and recruiting can shift that dynamic—making pathways to good careers accessible to a wider segment of the workforce and opening up new pools of talent for employers. They do so by focusing on what workers know and can do, not on the degrees or credentials they’ve earned.

That’s the theory. But a lot hinges on how things actually play out on the ground.

Technology will play a key role, and many states have zeroed in on learning and employment records—essentially digital resumes with verified records of people’s skills, educational experiences, and work histories—as an essential tool. A lot of important work is going into the technical design and specifications.

This project, on the other hand, aims to take a step back and look at the current state of play when it comes to the use cases for LERs. Just a few of the key questions:

How might employers, education providers, government agencies, and workers themselves actually use them? Will they?
In what areas do state policymakers have the most influence over key stakeholders and the most responsibility to invest?
What actions are needed now to ensure that LERs, and skills-based hiring more broadly, actually widen access to good jobs—rather than setting up a parallel system that perpetuates many of today’s inequities?

Learning Ecosystems

“OpenAI announces first partnership with a university” [Field] + other items re: AI in our Learning Ecosystems

“Four Disruptive Trends For Higher Ed In 2024” [Horn] + other items re: higher education

Your classmate could be an AI student at this Michigan university [Frick] + other AI in our Learning Ecosystems

Reflections on “Syllabusters Are Outdated” [Zakrajsek]

Learning and Employment Records [National Governors Association]

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