Bias | Diversity Equity & Inclusion (DE&I)

Solving the early intervention staffing crisis [Carr]

On 11/17/2023, in Bias | Diversity Equity & Inclusion (DE&I), K-12 related, neurodivergent/special needs, parents/guardians, student-related, youth, by Daniel Christian

Solving the early intervention staffing crisis — from hechingerreport.org by Sarah Carr

Eighty-seven percent of states lack enough speech language pathologists to reach all the infants and toddlers in need. Eighty-two percent suffer from physical therapist shortages. And among the service coordinators who organize critical therapies for America’s youngest children, the turnover rate is a stunning 42 percent, according to information compiled by the IDEA Infant and Toddler Coordinators Association from a survey that had 45 state respondents. (The K-12 teacher turnover rate, by contrast, only reached a mere 10 percent during the pandemic.)

With all the attention recently to the teacher and child care worker shortages in communities across America, the sector facing the most severe crisis has received comparatively little notice from policy makers, the media or the general public: those providing critical early intervention therapies for children under age 3 with developmental delays.

What is assistive technology? [Lee]

On 11/14/2023, in assistive technologies, Bias | Diversity Equity & Inclusion (DE&I), education, neurodivergent/special needs, technology (general), by Daniel Christian

What is assistive technology?— from understood.org by Andrew M.I. Lee, JD; expert reviewed by Shelley Haven
Assistive technology (AT) are tools that let people with differences work around challenges. They make tasks and activities accessible at school, work, and home. Learn how AT apps and software can help with reading, writing, math, and more.

What you’ll learn

Assistive technology devices
Assistive technology services
Myths about assistive technology
Selecting and using assistive technology

A simple mindset shift to help empower student ownership of learning: https://t.co/Hz30Tjiepu

— edutopia (@edutopia) November 5, 2023

When schools and families go to court over special education, everyone loses — from wfyi.org by Lee Gaines

While federal law mandates public schools provide an appropriate education to students with disabilities, it’s often up to parents to enforce it.

Schwarten did what few people have the resources to do: she hired a lawyer and requested a due process hearing. It’s like a court case. And it’s intended to resolve disputes between families and schools over special education services.

It’s also a traumatic and adversarial process for families and schools that can rack up hundreds of thousands of dollars in legal fees and destroy relationships between parents and district employees. And even when families win, children don’t always get the public education they deserve.

Future of Learning: Native American students have the least access to computer science — from The Hechinger Report by Javeria Salman

But computer science lessons like the ones at Dzantik’i Heeni Middle School are relatively rare. Despite calls from major employers and education leaders to expand K-12 computer science instruction in response to the workforce’s increasing reliance on digital technology, access to the subject remains low — particularly for Native American students.

Only 67 percent of Native American students attend a school that offers a computer science course, the lowest percentage of any demographic group, according to a new study from the nonprofit Code.org. A recent report from the Kapor Foundation and the American Indian Science and Engineering Society, or AISES, takes a deep look at why Native students’ access to computer and technology courses in K-12 is so low, and examines the consequences.

The Case for Andragogy in Educator Development — from Dialogic #341 by Tom Barrett

Understanding the Disconnect
We often find ourselves in professional development sessions that starkly contrast with the interactive and student-centred learning environments we create. We sit as passive recipients rather than active participants, receiving generic content that seldom addresses our unique experiences or teaching challenges.

This common scenario highlights a significant gap in professional development: the failure to apply the principles of adult learning, or andragogy, which acknowledges that educators, like their students, benefit from a learning process that is personalised, engaging, and relevant.

The irony is palpable — while we foster environments of inquiry and engagement in our classrooms, our learning experiences often lack these elements.

The disconnect prompts a vital question: If we are to cultivate a culture of lifelong learning among our students, shouldn’t we also embody this within our professional growth? It’s time for the professional development of educators to reflect the principles we hold dear in our teaching practices.

“Shocking AI Statistics in 2023” [Makadia] + other items re: AI

On 11/01/2023, in 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), business, computer science, corporate / business world, data related items, emerging technologies, productivity / tips and tricks, professional development, psychology, society, the downsides of how people use tech, tools, trends, vendors, by Daniel Christian

Shocking AI Statistics in 2023 — from techthatmatters.beehiiv.com by Harsh Makadia

Chat GPT reached 100 million users faster than any other app. By February 2023, the chat.openai.com website saw an average of 25 million daily visitors. How can this rise in AI usage benefit your business’s function?
45% of executives say the popularity of ChatGPT has led them to increase investment in AI. If executives are investing in AI personally, then how will their beliefs affect corporate investment in AI to drive automation further? Also, how will this affect the amount of workers hired to manage AI systems within companies?
eMarketer predicts that in 2024 at least 20% of Americans will use ChatGPT monthly and that a fifth of them are 25-34 year olds in the workforce. Does this mean that there are more young workers using AI?
…plus 10 more stats

People are speaking with ChatGPT for hours, bringing 2013’s Her closer to reality — from arstechnica.com by Benj Edwards
Long mobile conversations with the AI assistant using AirPods echo the sci-fi film.

It turns out that Willison’s experience is far from unique. Others have been spending hours talking to ChatGPT using its voice recognition and voice synthesis features, sometimes through car connections. The realistic nature of the voice interaction feels largely effortless, but it’s not flawless. Sometimes, it has trouble in noisy environments, and there can be a pause between statements. But the way the ChatGPT voices simulate vocal ticks and noises feels very human. “I’ve been using the voice function since yesterday and noticed that it makes breathing sounds when it speaks,” said one Reddit user. “It takes a deep breath before starting a sentence. And today, actually a minute ago, it coughed between words while answering my questions.”

From DSC:
Hmmmmmmm….I’m not liking the sound of this on my initial take of it. But perhaps there are some real positives to this. I need to keep an open mind.

Working with AI: Two paths to prompting — from oneusefulthing.org by Ethan Mollick
Don’t overcomplicate things

Conversational Prompting [From DSC: i.e., keep it simple]
Structured Prompting

For most people, [Conversational Prompting] is good enough to get started, and it is the technique I use most of the time when working with AI. Don’t overcomplicate things, just interact with the system and see what happens. After you have some experience, however, you may decide that you want to create prompts you can share with others, prompts that incorporate your expertise. We call this approach Structured Prompting, and, while improving AIs may make it irrelevant soon, it is currently a useful tool for helping others by encoding your knowledge into a prompt that anyone can use.

These fake images reveal how AI amplifies our worst stereotypes — from washingtonpost.com by Nitasha Tiku, Kevin Schaul, and Szu Yu Chen (behind paywall)
AI image generators like Stable Diffusion and DALL-E amplify bias in gender and race, despite efforts to detoxify the data fueling these results.

Artificial intelligence image tools have a tendency to spin up disturbing clichés: Asian women are hypersexual. Africans are primitive. Europeans are worldly. Leaders are men. Prisoners are Black.

These stereotypes don’t reflect the real world; they stem from the data that trains the technology. Grabbed from the internet, these troves can be toxic — rife with pornography, misogyny, violence and bigotry.

Abeba Birhane, senior advisor for AI accountability at the Mozilla Foundation, contends that the tools can be improved if companies work hard to improve the data — an outcome she considers unlikely. In the meantime, the impact of these stereotypes will fall most heavily on the same communities harmed during the social media era, she said, adding: “People at the margins of society are continually excluded.”

ChatGPT app revenue shows no signs of slowing, but some other AI apps top it — from techcrunch.com by Sarah Perez; Via AI Valley – Barsee

ChatGPT, the AI-powered chatbot from OpenAI, far outpaces all other AI chatbot apps on mobile devices in terms of downloads and is a market leader by revenue, as well. However, it’s surprisingly not the top AI app by revenue — several photo AI apps and even other AI chatbots are actually making more money than ChatGPT, despite the latter having become a household name for an AI chat experience.

ChatGPT can now analyze files you upload to it without a plugin — from bgr.com by Joshua Hawkins; via Superhuman

According to new reports, OpenAI has begun rolling out a more streamlined approach to how people use ChatGPT. The new system will allow the AI to choose a model automatically, letting you run Python code, open a web browser, or generate images with DALL-E without extra interaction. Additionally, ChatGPT will now let you upload and analyze files.

“How to read an IEP: 5 things teachers should look for” [Morin] + other teaching tips

On 11/01/2023, in Bias | Diversity Equity & Inclusion (DE&I), Daniel S. Christian, education, K-12 related, neurodivergent/special needs, parents/guardians, productivity / tips and tricks, student-related, teachers, teaching & learning, youth, by Daniel Christian

How to read an IEP: 5 things teachers should look for — from understood.org by Amanda Morin

Have you ever read through a student’s Individualized Education Program (IEP) and felt unsure about what to focus on?

Every general education teacher will have students with IEPs in class at some point. That’s why knowing how to read and understand an IEP is so important. If you’re called on to attend an IEP meeting, you may even help create the IEP.

There are best practices for getting the most important information from an IEP. Here are five key things to be on the lookout for when you read an IEP and how they apply to your classroom.

From DSC:
If you think teaching and learning is easy, you ought to try putting together a few IEPs and/or attend a few meetings where IEPs are being discussed and updated. Wow! You get a glimpse of how many needs are out there — and will better appreciate the scope/variety of the needs.

If you ever need to be humbled, attend an IEP meeting.

Also from understood.org, see:

What can teachers say when families raise concerns about their child? — from understood.org by Gretchen Vierstra, MA

When families have concerns about their child, they may come to you, their child’s teacher, for support. They may have recently noticed a behavior that’s out of the ordinary for their child. Or they may have observed a pattern of behaviors over time.

Families may turn to you as they seek out answers. This is especially true if you’ve built a relationship of communication and partnership from the beginning of the school year. This foundation will help families feel more comfortable sharing their concerns with you. How can you make the conversation as supportive and productive as possible?

Classroom accommodations for sensory processing challenges — from understood.org by Amanda Morin
Sensory processing challenges can make learning in a classroom tough. Learn about accommodations that can help.

Students with sensory processing challenges have trouble managing everything their senses are taking in. At school, they often have to cope with sounds, smells, textures, and other sensations that get in the way of learning.

What classroom accommodations can help students with trouble processing sensory information? Here are some strategies.

2024 EDUCAUSE Top 10: Institutional Resilience

On 10/17/2023, in adjunct faculty, Bias | Diversity Equity & Inclusion (DE&I), business side of he, colleges, community colleges, faculty, higher education, United States, universities, by Daniel Christian

2024 EDUCAUSE Top 10: Institutional Resilience — from educause.edu
.

The importance of career-connected learning + another item re: pathways to sucess

On 10/16/2023, in Bias | Diversity Equity & Inclusion (DE&I), ideas, K-12 related, pathways, skills, society, sociology, student-related, vocational / trades, youth, by Daniel Christian

Advice From More than A Decade of Career Pathway Innovation — from gettingsmart.com by Hilary Sontag and Kerri McDermid

Excerpt:

With nearly 15 years of experience in building and leading career-connected learning initiatives, St. Vrain offers a roadmap for districts of all sizes who are beginning the journey to create their own pathways of opportunity for students.

Over the past decade, St. Vrain Valley Schools has launched more than two dozen career pathways and now has a goal to offer quality work-based learning experiences for every graduate. As staff have developed these opportunities, St. Vrain has seen significant increases in graduation rates – approximately 94 percent of St. Vrain students graduate high school in four years – and a significant decrease in dropout rates to less than one percent of students. Graduation rates among our Hispanic students have increased by 30 percentage points, almost completely eliminating graduation rate gaps between all students and students of color. St. Vrain’s post-pandemic achievement has also accelerated at a remarkable pace. Building career-connected programming, and offering it as early and broadly as possible, has demonstrated a compelling case for the effectiveness of career pathways in accelerating achievement and student success.

The value of hands-on learning in prison — from college-inside.beehiiv.com by Charlotte West
Women in Washington reflect on their experience with a pre-apprenticeship that introduces them to the trades.

When I visited the prison in May, Brittany Wright had plans to go down to the Cement Masons & Plasterers Local Union 528 in Seattle when she got out a few days later. She’s now an apprentice working on a light rail expansion project for Sound Transit, making $31 an hour plus benefits. “I’m a little nervous, but more excited to get out there and actually start using the trades,” she told me at the time. “They seem like they’re willing to work with me. And that’s all that matters.”

The Learning & Employment Records (LER) Ecosystem Map — with thanks to Melanie Booth on LinkedIn for this resource
Driving Opportunity and Equity Through Learning & Employment Records

Imagine A World Where…

Everyone is empowered to access learning and earning opportunities based on what they know and can do, whether those skills and abilities are obtained through degrees, work experiences, or independent learning.
People can capture and communicate the skills and competencies they’ve acquired across their entire learning journey — from education, experience and service — with more ease, confidence, and clarity than a traditional resume.
Learners and earners control their information and can curate their skills to take advantage of every opportunity they are truly qualified to pursue, opening up pathways that help address systemic inequities.
Employers can tap into a wider talent pool and better match applicants to opportunities with verifiable credentials that represent skills, competencies, and achievements.

This is the world that we believe can be created by Learning and Employment Records (LERs), i.e. digital records of learning and work experiences that are linked to and controlled by learners and earners. An interoperable, well-governed LER ecosystem has the potential to transform the future of work so that it is more equitable, efficient, and effective for everyone involved— individuals, training and education providers, employers, and policymakers.

Also per Melanie Booth, see:

Research Reveals Growing Demand to Connect Academic Learning to Careers — from campustechnology.com Kristal Kuykendall
Skills-Based Learning, Certifications, Apprenticeships Top Priorities for Students, Global Survey Shows
.
State of Student Success and Engagement in Higher Education — from instructure.com

Creating an ‘ecosystem’ to close the Black talent gap in technology — from mckinsey.com (emphasis below from DSC)

Chris Perkins, associate partner, McKinsey: Promoting diversity in tech is more nuanced than driving traditional diversity initiatives. This is primarily because of the specialized hard and soft skills required to enter tech-oriented professions and succeed throughout their careers. Our research shows us that various actors, such as nonprofits, for-profits, government agencies, and educational institutions are approaching the problem in small pockets. Could we help catalyze an ecosystem with wraparound support across sectors?

To design this, we have to look at the full pipeline and its “leakage” points, from getting talent trained and in the door all the way up to the C-suite. These gaps are caused by lack of awareness and support in early childhood education through college, and lack of sponsorship and mentorship in early- and mid- career positions.

Thinking with Colleagues: AI in Education [Grush & Wagner]

On 10/14/2023, in accessibility / UDL, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, Bias | Diversity Equity & Inclusion (DE&I), change, colleges, communities of practice, community colleges, copyright/ownership/NFTs, education technology, emerging technologies, engagement / engaging students, experimentation, face-to-face, faculty, future of higher education, game-changing environment, generational differences, Google, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, liberal arts, Microsoft, open courseware and systems, platforms, privacy, student-related, teaching & learning, United States, universities, vendors, by Daniel Christian

Thinking with Colleagues: AI in Education — from campustechnology.com by Mary Grush
A Q&A with Ellen Wagner

Wagner herself recently relied on the power of collegial conversations to probe the question: What’s on the minds of educators as they make ready for the growing influence of AI in higher education? CT asked her for some takeaways from the process.

We are in the very early days of seeing how AI is going to affect education. Some of us are going to need to stay focused on the basic research to test hypotheses. Others are going to dive into laboratory “sandboxes” to see if we can build some new applications and tools for ourselves. Still others will continue to scan newsletters like ProductHunt every day to see what kinds of things people are working on. It’s going to be hard to keep up, to filter out the noise on our own. That’s one reason why thinking with colleagues is so very important.

Mary and Ellen linked to “What Is Top of Mind for Higher Education Leaders about AI?” — from northcoasteduvisory.com. Below are some excerpts from those notes:

We are interested how K-12 education will change in terms of foundational learning. With in-class, active learning designs, will younger students do a lot more intensive building of foundational writing and critical thinking skills before they get to college?

The Human in the Loop: AI is built using math: think of applied statistics on steroids. Humans will be needed more than ever to manage, review and evaluate the validity and reliability of results. Curation will be essential.
We will need to generate ideas about how to address AI factors such as privacy, equity, bias, copyright, intellectual property, accessibility, and scalability.
Have other institutions experimented with AI detection and/or have held off on emerging tools related to this? We have just recently adjusted guidance and paused some tools related to this given the massive inaccuracies in detection (and related downstream issues in faculty-elevated conduct cases)

Even though we learn repeatedly that innovation has a lot to do with effective project management and a solid message that helps people understand what they can do to implement change, people really need innovation to be more exciting and visionary than that. This is the place where we all need to help each other stay the course of change.

Along these lines, also see:

What people ask me most. Also, some answers. — from oneusefulthing.org by Ethan Mollick
A FAQ of sorts

I have been talking to a lot of people about Generative AI, from teachers to business executives to artists to people actually building LLMs. In these conversations, a few key questions and themes keep coming up over and over again. Many of those questions are more informed by viral news articles about AI than about the real thing, so I thought I would try to answer a few of the most common, to the best of my ability.

I can’t blame people for asking because, for whatever reason, the companies actually building and releasing Large Language Models often seem allergic to providing any sort of documentation or tutorial besides technical notes. I was given much better documentation for the generic garden hose I bought on Amazon than for the immensely powerful AI tools being released by the world’s largest companies. So, it is no surprise that rumor has been the way that people learn about AI capabilities.

Currently, there are only really three AIs to consider: (1) OpenAI’s GPT-4 (which you can get access to with a Plus subscription or via Microsoft Bing in creative mode, for free), (2) Google’s Bard (free), or (3) Anthropic’s Claude 2 (free, but paid mode gets you faster access). As of today, GPT-4 is the clear leader, Claude 2 is second best (but can handle longer documents), and Google trails, but that will likely change very soon when Google updates its model, which is rumored to be happening in the near future.

Everyday Media Literacy: An Analog Guide for Your Digital Life — from routledge.com by Sue Ellen Christian

In this second edition, award-winning educator Sue Ellen Christian offers students an accessible and informed guide to how they can consume and create media intentionally and critically.

The textbook applies media literacy principles and critical thinking to the key issues facing young adults today, from analyzing and creating media messages to verifying information and understanding online privacy. Through discussion prompts, writing exercises, key terms, and links, readers are provided with a framework from which to critically consume and create media in their everyday lives. This new edition includes updates covering privacy aspects of AI, VR and the metaverse, and a new chapter on digital audiences, gaming, and the creative and often unpaid labor of social media and influencers. Chapters examine news literacy, online activism, digital inequality, social media and identity, and global media corporations, giving readers a nuanced understanding of the key concepts at the core of media literacy. Concise, creative, and curated, this book highlights the cultural, political, and economic dynamics of media in contemporary society, and how consumers can mindfully navigate their daily media use.

This textbook is perfect for students and educators of media literacy, journalism, and education looking to build their understanding in an engaging way.

College Cost Transparency Press Release

On 10/07/2023, in Bias | Diversity Equity & Inclusion (DE&I), business side of he, colleges, community colleges, cost of getting a degree, higher education, United States, universities, by Daniel Christian

College Cost Transparency Press Release — from collegeprice.org
Hundreds of Colleges and Universities Commit to Student Cost Transparency

WASHINGTON, D.C, SEPTEMBER 26, 2023 — The College Cost Transparency Initiative (CCT) — a task force composed of the leaders of 10 higher education associations representing college presidents, financial aid offices, and admissions and school counselors — today announced that more than 360 institutions of higher education have voluntarily committed to follow a set of principles and standards that ensure transparency, clarity, and understanding around communicating student financial aid offers. Together, these institutions serve more than 3.8 million college students in the United States.

The monumental commitment comes as lawmakers, think tanks, and government entities continue to scrutinize the financial aid offers that colleges and universities present to students. The principles and standards recommended by the CCT respond to the needs of students and families in a nuanced and careful manner.

Black teens learn to fly and aim for careers in aviation in the footsteps of Tuskegee Airmen [Williams & Householder]

On 10/06/2023, in Bias | Diversity Equity & Inclusion (DE&I), Michigan, society, sociology, vocational / trades, by Daniel Christian

Black teens learn to fly and aim for careers in aviation in the footsteps of Tuskegee Airmen — from apnews.com by Corey Williams and Mike Householder; via Matthew Tower

Corporate America Promised to Hire a Lot More People of Color. It Actually Did. [bloomberg.com]

On 09/27/2023, in Bias | Diversity Equity & Inclusion (DE&I), career development, change, society, sociology, workplace, by Daniel Christian

Corporate America Promised to Hire a Lot More People of Color. — from bloomberg.com
It Actually Did.
The year after Black Lives Matter protests, the S&P 100 added more than 300,000 jobs — 94% went to people of color.

The overall job growth included 20,524 White workers. The other 302,570 jobs — or 94% of the headcount increase — went to people of color.
…
But the trend continued up the job ladder in top, high-paid jobs, too: Companies increased their racial diversity among executives, managers and professionals.

For another item relevant to career development, see:

“Will Generative AI Improve Digital Accessibility?” + other items re: accessibility from boia.org

On 09/18/2023, in Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), instructional design, productivity / tips and tricks, programming, society, tools, vendors, vision/possibilities, web design and production, by Daniel Christian

Will Generative AI Improve Digital Accessibility? — from boia.org

Generative A.I. could reduce the busywork of accessibility
Most digital accessibility issues can be addressed easily with clean code and thoughtful content creation. However, many “easy” fixes still take time to implement, particularly when humans need to be involved.

The Web Content Accessibility Guidelines (WCAG) function as the international standards of digital accessibility. WCAG includes a number of requirements that require a subjective approach, which can create busywork for developers, designers, and writers.

For example:

WCAG requires text alternatives (alt text) for images and other non-text content. Writing alt text takes a few seconds, but if you’re operating a large eCommerce site with thousands of images, you may need to spend days or weeks adding alt text.
WCAG requires captions and transcripts for video content. If you don’t plan for those features when drafting your videos, you’ll need to write them after-the-fact — and on a lengthy video, that’s a time-consuming process.
WCAG requires content to maintain an appropriate color contrast ratio. Adjusting your website’s CSS (Cascading Style Sheets) isn’t especially difficult, but on a complex website, designers may need to spend hours adjusting each element.

Generative A.I. may be able to address these challenges.

Also relevant/see:

How Accessibility Can Help You Grow Your Web Design Business — from boia.org
Worried About Web Accessibility Lawsuits? Start Here. — from boia.org
Semantics and Screen Readers: Creating Better Content — from boia.org

Learning Ecosystems

What is assistive technology? [Lee]

2024 EDUCAUSE Top 10: Institutional Resilience

The Learning & Employment Records (LER) Ecosystem Map

Creating an ‘ecosystem’ to close the Black talent gap in technology [McKinsey]

College Cost Transparency Press Release

Black teens learn to fly and aim for careers in aviation in the footsteps of Tuskegee Airmen [Williams & Householder]

Corporate America Promised to Hire a Lot More People of Color. It Actually Did. [bloomberg.com]

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