Learning Experience Design

Online Teaching Is Improving In-Person Instruction on Campus — from edsurge.com by Robert Ubell (Columnist)

In fact a slew of research over the past two decades has found that teaching online makes professors better teachers in their classrooms, so much so that one 2009 study recommended that “faculty should be trained in distance education methods and technologies and should be encouraged to use those methods back in the classroom.”

It’s a message I’ve been arguing for a while. But now that so many educators and students have had direct experience with online formats, it’s a narrative that seems to be sinking in.

Now is the time to fully embrace how physical classrooms can be improved by online techniques.

When professors teaching face-to-face adopt online pedagogy, the classroom is transformed into a “blended” experience, moving from conventional to active learning. And that helps students turn from passive to engaged participants in their own intellectual excursions.

Ecosystems for the future of learning — from thebigidea.education-reimagined.org by Education Reimagined and the History Co:Lab

The intent of this report is to help communities build their capacity for transformation of education, advancing toward what our society needs most—a system that works for young people. It draws on the experiences and insights of innovators across the United States who are already answering this challenge—creating learner-centered, community-based ecosystems.
…
This report includes:

a landscape analysis of select communities creating learning ecosystems;
a framework that emerged from the analysis and can be used by communities to consider their readiness and appetite for this transformation;
an invitation to communities to explore and discover their own path for reimagining education; and
a call for national and regional institutions to listen, learn from, and create the conditions for communities to pursue their visions.

From DSC:
The above items was accessed via the article below:

Where Does Work to Imagine a Learner-Centered Ecosystem Begin? — from gettingsmart.com by Alin Bennett

Key Points

The Norris School District in Wisconsin exemplifies how learner profiles and community connections can enhance authentic learning experiences for young people, fostering a culture of belonging and responsibility.
Purdue Polytechnic High School demonstrates the importance of enabling conditions, such as creating microschools with access to shared services, to support a learner-centered approach while ensuring scalability and access to a variety of resources.

Career-Connected Learning: Preparing Students for a Dynamic Future [Vander Ark & Andrews]

On 02/28/2024, in apprenticeships, career development, collaboration, education, education reform, engagement / engaging students, K-12 related, learning ecosystem, Learning Experience Design, learning hubs & pods & microschooling, project-based learning, real-world assignments, skills, student-related, teachers, workplace, youth, by Daniel Christian

Career-Connected Learning: Preparing Students for a Dynamic Future — from gettingsmart.com by Tom Vander Ark and Victoria Andrews

Key Points

Connecting young people with career awareness needs to start at an early age to provide them with the necessary landscape view of opportunity and skills.
Whether young people engage client-focused opportunities, internships, or endure academically challenging coursework, career-connected learning is an environment to cultivate a sense of self-awareness, determination, and direction, essential for their success in both education and life.

Also from Getting Smart, see:

CHILD: A Microschool Unlocking the Potential for Unique Learners — by Maureen O’Shaughnessy

Key Points

The success of adaptive learning is not solely based on the program, but rather on the people behind it.
Clarity on “who you serve” is critical to success.

Two items from Derek Bruff re: teaching and learning in higher education

On 02/28/2024, in adjunct faculty, colleges, community colleges, digital learning, education technology, faculty, higher education, instructional design, IT in HE, learning, learning ecosystem, Learning Experience Design, pedagogy, productivity / tips and tricks, professional development, teaching & learning, United States, universities, by Daniel Christian

Programs, Services, and More: A Map of CTL Tactics — from derekbruff.org

My colleagues and I at the Center for Excellence in Teaching and Learning (CETL) have been reading and discussing Mary C. Wright’s new book Centers for Teaching and Learning: The New Landscape in Higher Education (Johns Hopkins University Press, 2023). Wright identified all the centers for teaching and learning (CTLs) in the United States and then did a content analysis of their websites to see what they were all about. For someone like me, who has spent his career working in CTLs, Wright’s work is a fascinating look at my own field and how it represents itself through mission statements, listings of programs and services, and annual reports.

Also from Derek, see:

Recap: Study skills, flipped learning, and more at spring STEM teaching lunches — from umcetl.substack.com
With the final spring STEM teaching lunch coming up on March 4th, here’s a recap of what you missed at the first two lunches.

- February 8th – Helping students learn how to learn
- February 20th – Reconsidering class time through flipped learning

“Using Generative AI throughout the Institution” [Eaton] + other items re: AI in our Learning Ecosystems

On 02/27/2024, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, education technology, emerging technologies, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), innovation, instructional design, intelligent systems, K-12 related, learning ecosystem, Learning Experience Design, platforms, policy, productivity / tips and tricks, professional development, teachers, teaching & learning, teaching online, tools, United States, universities, vendors, by Daniel Christian

Using Generative AI throughout the Institution — from aiedusimplified.substack.com by Lance Eaton
8 lightning talk on generative AI and how to use it through higher education

The magic of AI to help educators with saving time. — from magicschool.ai; via Mrs. Kendall Sajdak

Getting Better Results out of Generative AI — from aiedusimplified.substack.com by Lance Eaton
The prompt to use before you prompt generative AI

Last month, I discussed a GPT that I had created around enhancing prompts. Since then, I have been actively using my Prompt Enhancer GPT to much more effective outputs. Last week, I did a series of mini-talks on generative AI in different parts of higher education (faculty development, human resources, grants, executive leadership, etc) and structured it as “5 tips”. I included a final bonus tip in all of them—a tip that I heard from many afterwards was probably the most useful tip—especially because you can only access the Prompt Enhancer GPT if you are paying for ChatGPT.

Exploring the Opportunities and Challenges with Generative AI — from er.educause.edu by Veronica Diaz

Effectively integrating generative AI into higher education requires policy development, cross-functional engagement, ethical principles, risk assessments, collaboration with other institutions, and an exploration of diverse use cases.

Creating Guidelines for the Use of Gen AI Across Campus — from campustechnology.com by Rhea Kelly
The University of Kentucky has taken a transdisciplinary approach to developing guidelines and recommendations around generative AI, incorporating input from stakeholders across all areas of the institution. Here, the director of UK’s Center for the Enhancement of Learning and Teaching breaks down the structure and thinking behind that process.

That resulted in a set of instructional guidelines that we released in August of 2023 and updated in December of 2023. We’re also looking at guidelines for researchers at UK, and we’re currently in the process of working with our colleagues in the healthcare enterprise, UK Healthcare, to comb through the additional complexities of this technology in clinical care and to offer guidance and recommendations around those issues.

From Mean Drafts to Keen Emails — from automatedteach.com by Graham Clay

My experiences match with the results of the above studies. The second study cited above found that 83% of those students who haven’t used AI tools are “not interested in using them,” so it is no surprise that many students have little awareness of their nature. The third study cited above found that, “apart from 12% of students identifying as daily users,” most students’ use cases were “relatively unsophisticated” like summarizing or paraphrasing text.

For those of us in the AI-curious bubble, we need to continually work to stay current, but we also need to recognize that what we take to be “common knowledge” is far from common outside of the bubble.

What do superintendents need to know about artificial intelligence? — from k12dive.com by Roger Riddell
District leaders shared strategies and advice on ethics, responsible use, and the technology’s limitations at the National Conference on Education.

Despite general familiarity, however, technical knowledge shouldn’t be assumed for district leaders or others in the school community. For instance, it’s critical that any materials related to AI not be written in “techy talk” so they can be clearly understood, said Ann McMullan, project director for the Consortium for School Networking’s EmpowerED Superintendents Initiative.

To that end, CoSN, a nonprofit that promotes technological innovation in K-12, has released an array of AI resources to help superintendents stay ahead of the curve, including a one-page explainer that details definitions and guidelines to keep in mind as schools work with the emerging technology.

The Transformative Trends Reshaping Higher Education in 2024 [Spriggs]

On 02/19/2024, in Bias | Diversity Equity & Inclusion (DE&I), business side of he, collaboration, colleges, community colleges, faculty, future of higher education, game-changing environment, higher education, innovation, IT in HE, leadership, learning ecosystem, Learning Experience Design, strategy, trends, United States, universities, by Daniel Christian

The Transformative Trends Reshaping Higher Education in 2024 — from evolllution.com by Janet Spriggs; via Amrit Ahluwalia on LinkedIn

Artificial Intelligence: Embrace It or Fall Behind
Reassessing Value: Tackling Confidence and ROI in Higher Education
Innovating for the Future: Adapting to Changing Needs
Fostering Strategic Partnerships: Collaboration for Progress
Leadership Matters: Driving Innovation and Inclusivity

L&D Global Sentiment Survey 2024 [Taylor]

On 02/14/2024, in adult learning, business, corporate / business world, corporate universities / corporate training, instructional design, learning, learning ecosystem, Learning Experience Design, lifelong learning, training / L&D, trends, UK, United States, vendors, workplace, by Daniel Christian

.

Per Donald Taylor this morning:

The results of this year’s L&D Global Sentiment Survey are now live online!

They are unlike anything else I’ve seen in the 11-history of the Survey.

Over 3,000 people from nearly 100 countries shared their views, and you can see my summary of them on LinkedIn:

OpenAI is testing ChatGPT’s ability to remember things + other items re: AI in general

On 02/14/2024, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, education technology, emerging technologies, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, Open AI, personalized/customized learning, platforms, professional development, student-related, teachers, teaching & learning, tools, youth, by Daniel Christian

We’re testing ChatGPT’s ability to remember things you discuss to make future chats more helpful.

This feature is being rolled out to a small portion of Free and Plus users, and it’s easy to turn on or off. https://t.co/1Tv355oa7V pic.twitter.com/BsFinBSTbs

— OpenAI (@OpenAI) February 13, 2024

From DSC:
This would be huge for all of our learning ecosystems, as the learning agents could remember where a particular student or employee is at in terms of their learning curve for a particular topic.

Say What? Chat With RTX Brings Custom Chatbot to NVIDIA RTX AI PCs — from blogs.nvidia.com
Tech demo gives anyone with an RTX GPU the power of a personalized GPT chatbot.

? BREAKING: Nvidia just released Chat with RTX, an AI chatbot that runs locally on your PC.

It can summarize or search documents across your PC's files and even YouTube videos and playlists.

The chatbot runs locally, meaning results are fast, you can use it without the… pic.twitter.com/je3gzOs45I

— Rowan Cheung (@rowancheung) February 13, 2024

Re: integrating AI into our Learning Ecosystems, we need to have realistic expectations here. [Christian]

On 02/09/2024, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, corporate / business world, corporate universities / corporate training, education, education reform, education technology, emerging technologies, expectations, experimentation, face-to-face, faculty, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, Learning Experience Design, online learning, teachers, teaching & learning, teaching online, training / L&D, United States, universities, by Daniel Christian

Digital Learning Pulse Survey Reveals Higher-Ed Unprepared for Expected Impact of AI — from prnewswire.com by Cengage
Research illustrates that while GenAI could ease ongoing challenges in education, just 1 in 5 say their school is ready

WASHINGTON, Feb. 6, 2024 /PRNewswire/ — While three-quarters of higher-education trustees (83%), faculty (81%) and administrators (76%) agree that generative artificial intelligence (GenAI) will noticeably change their institutions in the next five years, community college trustees are more optimistic than their community college counterparts, with (37%) saying their organization is prepared for the change coming compared to just 16% of faculty and 11% of administrator respondents.

Those findings are from the 2023-2024 Digital Learning Pulse Survey conducted by Cengage and Bay View Analytics with support from the Association of Community College Trustees (ACCT), the Association of College and University Educators (ACUE), College Pulse and the United States Distance Learning Association (USDLA) to understand the attitudes and concerns of higher education instructors and leadership.

From DSC:
It takes time to understand what a given technology brings to the table…let alone a slew of emerging technologies under the artificial intelligence (AI) umbrella. It’s hard enough when the technology is fairly well established and not changing all the time. But its extremely difficult when significant change occurs almost daily.

The limited staff within the teaching & learning centers out there need time to research and learn about the relevant technologies and how to apply those techs to instructional design. The already stretched thin faculty members need time to learn about those techs as well — and if and how they want to apply them. It takes time and research and effort.

Provosts, deans, presidents, and such need time to learn things as well.

Bottom line: We need to have realistic expectations here.

AI Adoption in Corporate L&D — from drphilippahardman.substack.com by Dr. Philippa Hardman
Where we are, and the importance of use cases in enabling change

At the end of last year, O’Reilly Media published a comprehensive report on the adoption and impact of generative AI within enterprises.

The headline of the report is that we’ve never seen a technology adopted in enterprise as fast as generative AI. As of November 2023, two-thirds (67%) of survey respondents reported that their companies are using generative AI.

However, the vast majority of AI adopters in enterprise are still in the early stages; they’re experimenting at the edges, rather than making larger-scale, strategic decisions on how to leverage AI to accelerate our progress towards org goals and visions.

The single biggest hurdle to AI adoption in large corporates is a lack of appropriate use cases.

Conversational & Experiential: The New Duality of Learning — from learningguild.com by Markus Bernhardt

Excerpt (emphasis DSC):

The future of corporate learning and development (L&D) is being profoundly reshaped by the progress we are witnessing in artificial intelligence (AI). The increasing availability of new technologies and tools is causing L&D leaders and their teams to rethink their strategy and processes, and even their team structure. The resulting shift, already gaining momentum, will soon move us toward a future where learning experiences are deeply personal, interactive, and contextually rich.

The technological advancements at the forefront of this revolution:

Allow us to create high-quality content faster and at a fraction of the cost previously experienced.
Provide us with a range of new modalities of delivery, such as chat interfaces, as well as immersive and experiential simulations and games.
Enable us to transform learning and training more and more into a journey uniquely tailored to each individual’s learning path, strengths, weaknesses, and confidence levels.

We are already seeing signs of the immediate future—one where AI will adapt not only content but the entire learner experience, on-the-fly and aligned with the needs and requirements of the learner at a specific moment of need.

Harnessing AI in L&D: Reviewing 2023 & Imagining the Future — from learningguild.com by Juan Naranjo

Excerpt (emphasis DSC):

AI-assisted design & development work: A dramatic shift
This prediction was right. There has been a seismic shift in instructional design, and the role is evolving toward content curation, editing, and resource orchestration. Critical thinking skills are becoming more important than ever to make sure that the final learning asset is accurate. All of this is happening thanks to AI tools like:

Adobe Firefly…
ChatGPT…
Another tool, one that isn’t usually part of the L&D ecosystem, is Microsoft’s Azure AI Services…

Early estimates indicate these improvements save between 30 percent and 60 percent of development time.

As a reminder, meta-learning, in this context, refers to tools that serve up experiences to learners based on their preferences, needs, and goals. It is the superstructure behind the content assets (e.g., programs, courses, articles, videos, etc.) that assembles everything into a coherent, and purposeful, body of knowledge for the users.

Healthcare High Schools [Fain] + other items from the K-12 learning ecosystem

On 02/05/2024, in career development, ideas, K-12 related, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, learning hubs & pods & microschooling, learning preferences, learning spaces, neurodivergent/special needs, student-related, teachers, teaching & learning, United States, youth, by Daniel Christian

Healthcare High Schools — from the-job.beehiiv.com by Paul Fain
Bloomberg and hospitals back dual-enrollment path from K-12 to high-demand jobs.

More career exploration in high school is needed to help Americans make better-informed choices about their education and job options, experts agree. And serious, employer-backed efforts to tighten connections between school and work are likely to emerge first in healthcare, given the industry’s severe staffing woes.

A new $250M investment by Bloomberg Philanthropies could be an important step in this direction. The money will seed the creation of healthcare-focused high schools in 10 U.S. locations, with a plan to enroll 6K students who will graduate directly from the early-college high schools into high-demand healthcare jobs that pay family-sustaining wages.

Microschools Take Center Stage with New Opportunities for Learning for 2024 — from the74million.org by Andrew Campanella
Campanella: More than 27,000 schools and organizations are celebrating National School Choice Week. Yours can, too

Last year, the landscape of K-12 education transformed as a record-breaking 20 states expanded school choice options. However, that is not the only school choice story to come out of 2023. As the nation steps into 2024, a fresh emphasis on innovation has emerged, along with new options for families. This is particularly true within the realm of microschooling.

Microschooling is an education model that is small by design — typically with 15 or fewer students of varying ages per class. It fosters a personalized and community-centric approach to learning that is especially effective in addressing the unique educational needs of diverse student populations. Programs like Education Savings Accounts are helping to fuel these microschools.

My Students Can’t Meet Academic Standards Because the School Model No Longer Fits Them — from edsurge.com by Sachin Pandya

Large classes create more distractions for students who struggle to focus, and they inevitably get less attention and support as there are more students for teachers to work with. High numbers of students make it more difficult to plan for individual needs and force teachers to teach to an imaginary middle. A rigid schedule makes it easy to schedule adults and services, but it is a challenge for kids who need time to get engaged and prefer to keep working at a challenge once they are locked in.
…
Now that I know what can engage and motivate these students, I can imagine creating more opportunities that allow them to harness their talents and grow their skills and knowledge. But we’re already a third of the way through the school year, and my curriculum requires me to teach certain topics for certain lengths of time, which doesn’t leave room for many of the types of experiences these kids need. Soon, June will come and I’ll pass them along to the next teacher, who won’t know what I know and will need another four months to learn it, wasting valuable time in these students’ educations.

From DSC:
We need teachers and professors to be able to contribute to learners’ records. Each student can review and decide whether they want to allow access to other teachers– or even to employers. Educators could insert what they’ve found to work with a particular student, what passions/interests that student has, or what to avoid (if possible). For example, has this student undergone some trauma, and therefore trauma-informed teaching should be employed.

IEPs could be a part of learners’ records/profiles. The teams working on implementing these IEP’s could share important, searchable information.

The State of Washington Embraces AI for Public Schools — from synthedia.substack.com by Bret Kinsella; via Tom Barrett
Educational institutions may be warming up to generative AI

Washington state issued new guidelines for K-12 public schools last week based on the principle of “embracing a human-centered approach to AI,” which also embraces the use of AI in the education process. The state’s Superintendent of Public Instruction, Chris Reykdal, commented in a letter accompanying the new guidelines:

Integrating AI into your teaching + numerous other items re: AI in our Learning Ecosystems

On 02/05/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, CMS/LMS, colleges, community colleges, digital learning, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, lifelong learning, personalized/customized learning, platforms, productivity / tips and tricks, professional development, society, student-related, teachers, teaching & learning, tools, United States, universities, vendors, vision/possibilities, writing, by Daniel Christian

Augment teaching with AI – this teacher has it sussed… — from donaldclarkplanb.blogspot.com by Donald Clark

Emphasis (emphasis DSC):

You’re a teacher who wants to integrate AI into your teaching. What do you do? I often get asked how should I start with AI in my school or University. This, I think, is one answer.

Continuity with teaching
One school has got this exactly right in my opinion. Meredith Joy Morris has implemented ChatGPT into the teaching process. The teacher does their thing and the chatbot picks up where the teacher stops, augmenting and scaling the teaching and learning process, passing the baton to the learners who carry on. This gives the learner a more personalised experience, encouraging independent learning by using the undoubted engagement that 1:1 dialogue provides.

There’s no way any teacher can provide this carry on support with even a handful of students, never mind a class of 30 or a course with 100. Teaching here is ‘extended’ and ‘scaled’ by AI. The feedback from the students was extremely positive.

Reflections on Teaching in the AI Age — from by Jeffrey Watson

The transition which AI forces me to make is no longer to evaluate writings, but to evaluate writers. I am accustomed to grading essays impersonally with an objective rubric, treating the text as distinct from the author and commenting only on the features of the text. I need to transition to evaluating students a bit more holistically, as philosophers – to follow along with them in the early stages of the writing process, to ask them to present their ideas orally in conversation or in front of their peers, to push them to develop the intellectual virtues that they will need if they are not going to be mastered by the algorithms seeking to manipulate them. That’s the sort of development I’ve meant to encourage all along, not paragraph construction and citation formatting. If my grading practices incentivize outsourcing to a machine intelligence, I need to change my grading practices.

4 AI Imperatives for Higher Education in 2024 — from campustechnology.com by Rhea Kelly

[Bryan Alexander] There’s a crying need for faculty and staff professional development about generative AI. The topic is complicated and fast moving. Already the people I know who are seriously offering such support are massively overscheduled. Digital materials are popular. Books are lagging but will gradually surface. I hope we see more academics lead more professional development offerings.

For an academic institution to take emerging AI seriously it might have to set up a new body. Present organizational nodes are not necessarily a good fit.

A Technologist Spent Years Building an AI Chatbot Tutor. He Decided It Can’t Be Done. — from edsurge.com by Jeffrey R. Young
Is there a better metaphor than ‘tutor’ for what generative AI can do to help students and teachers?

When Satya Nitta worked at IBM, he and a team of colleagues took on a bold assignment: Use the latest in artificial intelligence to build a new kind of personal digital tutor.

This was before ChatGPT existed, and fewer people were talking about the wonders of AI. But Nitta was working with what was perhaps the highest-profile AI system at the time, IBM’s Watson. That AI tool had pulled off some big wins, including beating humans on the Jeopardy quiz show in 2011.

Nitta says he was optimistic that Watson could power a generalized tutor, but he knew the task would be extremely difficult. “I remember telling IBM top brass that this is going to be a 25-year journey,” he recently told EdSurge.

Teachers stan AI in education–but need more support — from eschoolnews.com by Laura Ascione

What are the advantages of AI in education?
Canva’s study found 78 percent of teachers are interested in using AI education tools, but their experience with the technology remains limited, with 93 percent indicating they know “a little” or “nothing” about it – though this lack of experience hasn’t stopped teachers quickly discovering and considering its benefits:

60 percent of teachers agree it has given them ideas to boost student productivity
59 percent of teachers agree it has cultivated more ways for their students to be creative
56 percent of teachers agree it has made their lives easier

…

When looking at the ways teachers are already using generative artificial intelligence, the most common uses were:

Creating teaching materials (43 percent)
Collaborative creativity/co-creation (39 percent)
Translating text (36 percent)
Brainstorming and generating ideas (35 percent)

The next grand challenge for AI — from ted.com by Jim Fan

The State of Washington Embraces AI for Public Schools — from synthedia.substack.com by Bret Kinsella; via Tom Barrett
Educational institutions may be warming up to generative AI

Washington state issued new guidelines for K-12 public schools last week based on the principle of “embracing a human-centered approach to AI,” which also embraces the use of AI in the education process. The state’s Superintendent of Public Instruction, Chris Reykdal, commented in a letter accompanying the new guidelines:

New education features to help teachers save time and support students — from by Shantanu Sinha

Giving educators time back to invest in themselves and their students
Boost productivity and creativity with Duet AI: Educators can get fresh ideas and save time using generative AI across Workspace apps. With Duet AI, they can get help drafting lesson plans in Docs, creating images in Slides, building project plans in Sheets and more — all with control over their data.

Vocational training programs for special education students teach work, life skills [Thornton]

On 02/05/2024, in career development, K-12 related, learning, Learning Experience Design, neurodivergent/special needs, parents/guardians, real-world assignments, skills, society, student-related, vision/possibilities, vocational / trades, by Daniel Christian

Vocational training programs for special education students teach work, life skills — from edsource.org by Lasherica Thornton
Programs also foster acceptance in the community

Through hands-on experience at the hotel, students gain skills to work in the housekeeping and hospitality industry – whether at El Capitan or elsewhere – after they graduate. And they develop life skills for adulthood.
…
This is not the case with Merced County’s program which, instead, integrates students into the housekeeping career, making it one of a few in California and across the nation to do so. The program now serves as a model for other districts aspiring to integrate students with disabilities into careers and society.

Fong said the year-long program is critical for the students “to be in the actual field,” get on-the-job training and be able to model employees’ behavior, which in turn provides them with real world experience while allowing them to interact with others.

From DSC:
This hits home for my family and me. We are entering a phase of our youngest daughter’s life where we need to help her build life skills. This type of program is excellent — highly relevant to many families out there.

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 / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, education technology, emerging technologies, experimentation, faculty, 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.

Learning Ecosystems

Online Teaching Is Improving In-Person Instruction on Campus [Ubell]

Two items from Derek Bruff re: teaching and learning in higher education

The Transformative Trends Reshaping Higher Education in 2024 [Spriggs]

L&D Global Sentiment Survey 2024 [Taylor]

Two items from the Learning & Development world

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

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