corporate / business world

The Learning & Development Global Sentiment Survey 2025 [Taylor]

On 02/20/2025, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, budgets, business, Canada, change, CMS/LMS, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, elearning, emerging technologies, Europe, experimentation, faculty/staff, game-changing environment, generational differences, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, lifelong learning, Metaverse, microlearning, personalized/customized learning, platforms, productivity / tips and tricks, skills, technology (general), training / L&D, trends, UK, United States, universities, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

The Learning & Development Global Sentiment Survey 2025 — from donaldhtaylor.co.uk by Don Taylor

The L&D Global Sentiment Survey, now in its 12th year, once again asked two key questions of L&D professionals worldwide:

What will be hot in workplace learning in 2025?
What are your L&D challenges in 2025?

For the obligatory question on what they considered ‘hot’ topics, respondents voted for one to three of 15 suggested options, plus a free text ‘Other’ option. Over 3,000 voters participated from nearly 100 countries. 85% shared their challenges for 2025.

The results show more interest in AI, a renewed focus on showing the value of L&D, and some signs of greater maturity around our understanding of AI in L&D.

“AI in K12: Today’s Breakthroughs and Tomorrow’s Possibilities” + other items re: AI in our learning ecosystems

On 02/20/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, colleges, communications, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, e-readers, education technology, emerging technologies, engagement / engaging students, experimentation, faculty/staff, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, languages and translation, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, legislatures / government / legal, liberal arts, mathematics, multimedia, pedagogy, personalized/customized learning, platforms, research, STEAM-related, student-related, teachers, tools, training / L&D, trends, United States, universities, vendors, vision/possibilities, by Daniel Christian

AI in K12: Today’s Breakthroughs and Tomorrow’s Possibilities (webinar)
How AI is Transforming Classrooms Today and What’s Next

Audio-Based Learning 4.0 — from drphilippahardman.substack.com by Dr. Philippa Hardman
A new & powerful way to leverage AI for learning?

At the end of all of this my reflection is that the research paints a pretty exciting picture – audio-based learning isn’t just effective, it’s got some unique superpowers when it comes to boosting comprehension, ramping up engagement, and delivering feedback that really connects with learners.

While audio has been massively under-used as a mode of learning, especially compared to video and text, we’re at an interesting turning point where AI tools are making it easier than ever to tap into audio’s potential as a pedagogical tool.

What’s super interesting is how the solid research backing audio’s effectiveness is and how well this is converging with these new AI capabilities.

From DSC:
I’ve noticed that I don’t learn as well via audio-only based events. It can help if visuals are also provided, but I have to watch the cognitive loads. My processing can start to get overloaded — to the point that I have to close my eyes and just listen sometimes. But there are people I know who love to listen to audiobooks and prefer to learn that way. They can devour content and process/remember it all. Audio is a nice change of pace at times, but I prefer visuals and reading often times. It needs to be absolutely quiet if I’m tackling some new information/learning.

In Conversation With… Ashton Cousineau — from drphilippahardman.substack.com by Dr. Philippa Hardman
A new video series exploring how L&D professionals are working with AI on the ground

In Conversation With… Ashton Cousineau by Dr Philippa Hardman

A new video series exploring how L&D professionals are working with AI on the ground

Read on Substack

The Learning Research Digest vol. 28 — from learningsciencedigest.substack.com by Dr. Philippa Hardman

Hot Off the Research Press This Month:

AI-Infused Learning Design – A structured approach to AI-enhanced assignments using a three-step model for AI integration.
Mathematical Dance and Creativity in STEAM – Using AI-powered motion capture to translate dance movements into mathematical models.
AI-Generated Instructional Videos – How adaptive AI-powered video learning enhances problem-solving and knowledge retention.
Immersive Language Learning with XR & AI – A new framework for integrating AI-driven conversational agents with Extended Reality (XR) for task-based language learning.
Decision-Making in Learning Design – A scoping review on how instructional designers navigate complex instructional choices and make data-driven decisions.
Interactive E-Books and Engagement – Examining the impact of interactive digital books on student motivation, comprehension, and cognitive engagement.
Elevating Practitioner Voices in Instructional Design – A new initiative to amplify instructional designers’ contributions to research and innovation.

Deep Reasoning, Agentic AI & the Continued Rise of Specialised AI Research & Tools for Education — from learningfuturesdigest.substack.com by Dr. Philippa Hardman

Here’s a quick teaser of key developments in the world of AI & learning this month:

DeepSeek R-1, OpenAI’s Deep Seek & Perplexity’s ‘Deep Research’ are the latest additions to a growing number of “reasoning models” with interesting implications for evidence-based learning design & development.
The U.S. Education Dept release an AI Toolkit and a fresh policy roadmap enabling the adoption of AI use in schools.
Anthropic Release “Agentic Claude”, another AI agent that clicks, scrolls, and can even successfully complete e-learning courses…
Oxford University Announce the AIEOU Hub, a research-backed research lab to support research and implementation on AI in education.
“AI Agents Everywhere”: A Forbes peek at how agentic AI will handle the “boring bits” of classroom life.
[Bias klaxon!] Epiphany AI: My own research leads to the creation of a specialised, “pedagogy first” AI co-pilot for instructional design marking the continued growth of specialised AI tools designed for specific industries and workflows.

AI is the Perfect Teaching Assistant for Any Educator — from unite.ai by Navi Azaria, CPO at Kaltura

Through my work with leading educational institutions at Kaltura, I’ve seen firsthand how AI agents are rapidly becoming indispensable. These agents alleviate the mounting burdens on educators and provide new generations of tech-savvy students with accessible, personalized learning, giving teachers the support they need to give their students the personalized attention and engagement they deserve.

Learning HQ — from ai-disruptor-hq.notion.site

This HQ includes all of my AI guides, organized by tool/platform. This list is updated each time a new one is released, and outdated guides are removed/replaced over time.

How AI Is Reshaping Teachers’ Jobs — from edweek.org

Artificial intelligence is poised to fundamentally change the job of teaching. AI-powered tools can shave hours off the amount of time teachers spend grading, lesson-planning, and creating materials. AI can also enrich the lessons they deliver in the classroom and help them meet the varied needs of all students. And it can even help bolster teachers’ own professional growth and development.

Despite all the promise of AI, though, experts still urge caution as the technology continues to evolve. Ethical questions and practical concerns are bubbling to the surface, and not all teachers feel prepared to effectively and safely use AI.

In this special report, see how early-adopter teachers are using AI tools to transform their daily work, tackle some of the roadblocks to expanded use of the technology, and understand what’s on the horizon for the teaching profession in the age of artificial intelligence.

Like it or not, AI is learning how to influence you — from venturebeat.com by Louis Rosenberg

Unfortunately, without regulatory protections, we humans will likely become the objective that AI agents are tasked with optimizing.

I am most concerned about the conversational agents that will engage us in friendly dialog throughout our daily lives. They will speak to us through photorealistic avatars on our PCs and phones and soon, through AI-powered glasses that will guide us through our days. Unless there are clear restrictions, these agents will be designed to conversationally probe us for information so they can characterize our temperaments, tendencies, personalities and desires, and use those traits to maximize their persuasive impact when working to sell us products, pitch us services or convince us to believe misinformation.
.

The Anthropic Economic Index

On 02/11/2025, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business, career development, change, corporate / business world, data related items, economics, research, vocational / trades, workplace, by Daniel Christian

The Anthropic Economic Index — from anthropic.com; via George Siemens

In the coming years, AI systems will have a major impact on the ways people work. For that reason, we’re launching the Anthropic Economic Index, an initiative aimed at understanding AI’s effects on labor markets and the economy over time.

The Index’s initial report provides first-of-its-kind data and analysis based on millions of anonymized conversations on Claude.ai, revealing the clearest picture yet of how AI is being incorporated into real-world tasks across the modern economy.

We’re also open sourcing the dataset used for this analysis, so researchers can build on and extend our findings.

Degree in hand, jobs out of reach: Why recent grads are struggling in a competitive market [Jaramillo-Plata]

On 02/07/2025, in business, career development, colleges, community colleges, corporate / business world, curriculum, expectations, faculty/staff, higher education, parents/guardians, skills, staying relevant, student-related, surviving, United States, universities, workplace, by Daniel Christian

Degree in hand, jobs out of reach: Why recent grads are struggling in a competitive market — from cnn.com by Nayeli Jaramillo-Plata; via Ryan Craig

Bellebuono’s story isn’t unique. A recent study from the Federal Reserve Bank of New York reported the widest unemployment gap between new graduates and experienced degree holders since the 1990s.

The struggle to find work
The unemployment gap is partly due to the increase in competition and changing employer expectations, said David Deming, professor of public policy at the Harvard Kennedy School.
…
Skill requirements for entry-level roles are higher today than a decade ago, he said. But the change has been gradual from year to year.

How to Make Learning as Addictive as Social Media | Duolingo’s Luis Von Ahn | TED

On 02/07/2025, in adjunct faculty, cloud-based computing / apps / other cloud-related, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, educational games / serious games, Emotion, engagement / engaging students, experimentation, faculty/staff, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, interaction design, interactivity, K-12 related, languages and translation, learning, learning ecosystem, Learning Experience Design, liberal arts, motivation, participation, platforms, productivity / tips and tricks, psychology, social learning / networks, strategy, student-related, teachers, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

How to Make Learning as Addictive as Social Media | Duolingo’s Luis Von Ahn | TED — from youtube.com; via Kamil Banc at AI Adopter

When technologist Luis von Ahn was building the popular language-learning platform Duolingo, he faced a big problem: Could an app designed to teach you something ever compete with addictive platforms like Instagram and TikTok? He explains how Duolingo harnesses the psychological techniques of social media and mobile games to get you excited to learn — all while spreading access to education across the world.
.

“DeepSeek R-1 Explained” [Zau] + other items re: AI in general

On 02/01/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, Asia, career development, corporate / business world, corporate universities / corporate training, emerging technologies, Microsoft, Natural Language Processing (NLP), platforms, productivity / tips and tricks, skills, tools, United States, vendors, voice recognition / voice enabled interfaces, workplace, by Daniel Christian

DeepSeek R-1 Explained — from aieducation.substack.com by Claire Zau
A no-nonsense FAQ (for everyone drowning in DeepSeek headlines)

There is a good chance you’re exhausted by the amount of DeepSeek coverage flooding your inbox. Between the headlines and hot takes on X, it’s hard not to have questions: What is DeepSeek? Why is it special? Why is everyone freaking out? What does this mean for the AI ecosystem? Can you explain the tech? Am I allowed to use it?

Let’s break down why exactly it’s such a big deal with some straightforward FAQs:

AI Voice Agents: 2025 Update — from a16z.com (Andreessen Horowitz) by Olivia Moore

Voice is one of the most powerful unlocks for AI application companies. It is the most frequent (and most information-dense) form of human communication, made “programmable” for the first time due to AI.
…

For consumers, we believe voice will be the first — and perhaps the primary — way people interact with AI. This interaction could take the form of an always-available companion or coach, or by democratizing services, such as language learning, that were previously inaccessible.

The professions upskilling in AI — from by Rachel Cromidas

The use of artificial intelligence at work continues to climb. Twice as many LinkedIn members in the U.S. say they are using AI on the job now compared to 2023, according to the latest Workforce Confidence survey. Meanwhile, at least half of workers say AI skills will help them progress in their careers. Product managers are the most likely to agree AI will give them a boost, while those in healthcare services roles are least likely.

Four objectives to guide artificial intelligence’s impact on higher education — from timeshighereducation.com by Susan C. Aldridge
How can higher education leaders manage both the challenge and the opportunity artificial intelligence presents? Here are four objectives to guide the way

That’s why, today, the question I’m asking is: How best can we proactively guide AI’s use in higher education and shape its impact on our students, faculty and institution? The answer to that broad, strategic question lies in pursuing four objectives that, I believe, are relevant for many colleges and universities.

In This Week’s Gap Letter — by Ryan Craig

Learning to use business software is different from learning to think. But if the software is sufficiently complex, how different is it really? What if AI’s primary impact on education isn’t in the classroom, but rather shifting the locus of learning to outside the classroom?

Instead of sitting in a classroom listening to a teacher, high school and college students could be assigned real work and learn from that work. Students could be matched with employers or specific projects provided by or derived from employers, then do the work on the same software used in the enterprise. As AI-powered digital adoption platforms (DAPs) become increasingly powerful, they have the potential to transform real or simulated work into educational best practice for students only a few years away from seeking full-time employment.

If DAPs take us in this direction, four implications come to mind….

The Impact of Gen AI on Human Learning: a research summary — from drphilippahardman.substack.com by Dr. Philippa Hardman
A literature review of the most recent & important peer-reviewed studies

In this week’s blog post, I share a summary of five recent studies on the impact of Gen AI on learning to bring you right up to date.
…
Implications for Educators and Developers

For Educators:

Combine ChatGPT with Structured Activities: …
Use ChatGPT as a Supplement, Not a Replacement:…
Promote Self-Reflection and Evaluation:

For Developers:

Reimagine AI for Reflection-First Design: …
Develop Tools that Foster Critical Thinking: …
Integrate Adaptive Support: …

Assessing the GenAI process, not the output — from timeshighereducation.com by Paul McDermott, Leoni Palmer, and Rosemary Norton
A framework for building AI literacy in a literature-review-type assessment

In this resource, we outline our advice for implementing an approach that opens AI use up to our students through a strategy of assessing the process rather than outputs.

To start with, we recommend identifying learning outcomes for your students that can be achieved in collaboration with AI.

What’s New: The Updated Edtech Insiders Generative AI Map — from edtechinsiders.substack.com by Sarah Morin, Alex Sarlin, and Ben Kornell
A major expansion on our previously released market map, use case database, and AI tool company directory.

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Tutorial: 4 Ways to Use LearnLM as a Professor — from automatedteach.com by Graham Clay
Create better assessments, improve instructions and feedback, and tutor your students with this fine-tuned version of Gemini.

I cover how to use LearnLM

to create sophisticated assessments that promote learning
to develop clearer and more effective assignment instructions
to provide more constructive feedback on student work, and
to support student learning through guided tutoring

Google Workspace enables the future of AI-powered work for every business — from workspace.google.com

The following AI capabilities will start rolling out to Google Workspace Business customers today and to Enterprise customers later this month:

Get AI assistance in Gmail, Docs, Sheets, Meet, Chat, Vids, and more: Do your best work faster with AI embedded in the tools you use every day. Gemini streamlines your communications by helping you summarize, draft, and find information in your emails, chats, and files. It can be a thought partner and source of inspiration, helping you create professional documents, slides, spreadsheets, and videos from scratch. Gemini can even improve your meetings by taking notes, enhancing your audio and video, and catching you up on the conversation if you join late.

Chat with Gemini Advanced, Google’s next-gen AI: Kickstart learning, brainstorming, and planning with the Gemini app on your laptop or mobile device. Gemini Advanced can help you tackle complex projects including coding, research, and data analysis and lets you build Gems, your team of AI experts to help with repeatable or specialized tasks.

Unlock the power of NotebookLM Plus: We’re bringing the revolutionary AI research assistant to every employee, to help them make sense of complex topics. Upload sources to get instant insights and Audio Overviews, then share customized notebooks with the team to accelerate their learning and onboarding.

And per Evelyn from the Stay Ahead newsletter (at FlexOS)

Google’s Gemini AI is stepping up its game in Google Workspace, bringing powerful new capabilities to your favorite tools like Gmail, Docs, and Sheets:

AI-Powered Summaries: Get concise, AI-generated summaries of long emails and documents so you can focus on what matters most.
Smart Reply: Gemini now offers context-aware email replies that feel more natural and tailored to your style.
Slides and images generation: Gemini in Slides can help you generate new images, summarize your slides, write and rewrite content, and refer to existing Drive files and/or emails.
Automated Data Insights: In Google Sheets, Gemini helps create a task tracker, conference agenda, spot trends, suggest formulas, and even build charts with simple prompts.
Intelligent Drafting: Google Docs now gets a creativity boost, helping you draft reports, proposals, or blog posts with AI suggestions and outlines.
Meeting Assistance: Say goodbye to the awkward AI attendees to help you take notes, now Gemini can natively do that for you – no interruption, no avatar, and no extra attendee. Meet can now also automatically generate captions to lower the language barrier.

Eveyln (from FlexOS) also mentions that CoPilot is getting enhancements too:

Copilot is now included in Microsoft 365 Personal and Family — from microsoft.com

Per Evelyn:

It’s exactly what we predicted: stand-alone AI apps like note-takers and image generators have had their moment, but as the tech giants step in, they’re bringing these features directly into their ecosystems, making them harder to ignore.

Announcing The Stargate Project — from openai.com

The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.

The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman.

Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements.

Your AI Writing Partner: The 30-Day Book Framework — from aidisruptor.ai by Alex McFarland and Kamil Banc
How to Turn Your “Someday” Manuscript into a “Shipped” Project Using AI-Powered Prompts

With that out of the way, I prefer Claude.ai for writing. For larger projects like a book, create a Claude Project to keep all context in one place.

Copy [the following] prompts into a document
Use them in sequence as you write
Adjust the word counts and specifics as needed
Keep your responses for reference
Use the same prompt template for similar sections to maintain consistency

Each prompt builds on the previous one, creating a systematic approach to helping you write your book.

Adobe’s new AI tool can edit 10,000 images in one click — from theverge.com by Jess Weatherbed
Firefly Bulk Create can automatically remove, replace, or extend image backgrounds in huge batches.

Adobe is launching new generative AI tools that can automate labor-intensive production tasks like editing large batches of images and translating video presentations. The most notable is “Firefly Bulk Create,” an app that allows users to quickly resize up to 10,000 images or replace all of their backgrounds in a single click instead of tediously editing each picture individually.

“Leadership & Generative AI: Hard-Earned Lessons That Matter” [Klitgaard Stricker] + other items re: AI in our learning ecosystems

On 01/22/2025, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, change, cloud-based computing / apps / other cloud-related, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education, education technology, emerging technologies, experimentation, faculty/staff, future, future of higher education, game-changing environment, generational differences, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, leadership, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, library / librarians, lifelong learning, Michigan, microlearning, multimedia, Natural Language Processing (NLP), personalized/customized learning, platforms, productivity / tips and tricks, reading, research, strategy, student-related, teachers, teaching & learning, technologies for your home, tools, training / L&D, trends, United States, universities, vendors, writing, by Daniel Christian

Your AI Writing Partner: The 30-Day Book Framework — from aidisruptor.ai by Alex McFarland and Kamil Banc
How to Turn Your “Someday” Manuscript into a “Shipped” Project Using AI-Powered Prompts

With that out of the way, I prefer Claude.ai for writing. For larger projects like a book, create a Claude Project to keep all context in one place.

Copy [the following] prompts into a document
Use them in sequence as you write
Adjust the word counts and specifics as needed
Keep your responses for reference
Use the same prompt template for similar sections to maintain consistency

Each prompt builds on the previous one, creating a systematic approach to helping you write your book.

Using NotebookLM to Boost College Reading Comprehension — from michellekassorla.substack.com by Michelle Kassorla and Eugenia Novokshanova
This semester, we are using NotebookLM to help our students comprehend and engage with scholarly texts

We were looking hard for a new tool when Google released NotebookLM. Not only does Google allow unfettered use of this amazing tool, it is also a much better tool for the work we require in our courses. So, this semester, we have scrapped our “old” tools and added NotebookLM as the primary tool for our English Composition II courses (and we hope, fervently, that Google won’t decide to severely limit its free tier before this semester ends!)

If you know next-to-nothing about NotebookLM, that’s OK. What follows is the specific lesson we present to our students. We hope this will help you understand all you need to know about NotebookLM, and how to successfully integrate the tool into your own teaching this semester.

Leadership & Generative AI: Hard-Earned Lessons That Matter — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Actionable Advice for Higher Education Leaders in 2025

AFTER two years of working closely with leadership in multiple institutions, and delivering countless workshops, I’ve seen one thing repeatedly: the biggest challenge isn’t the technology itself, but how we lead through it. Here is some of my best advice to help you navigate generative AI with clarity and confidence:

Break your own AI policies before you implement them. …
Fund your failures. …
Resist the pilot program. …
Host Anti-Tech Tech Talks …
…+ several more tips

While generative AI in higher education obviously involves new technology, it’s much more about adopting a curious and human-centric approach in your institution and communities. It’s about empowering learners in new, human-oriented and innovative ways. It is, in a nutshell, about people adapting to new ways of doing things.

Maria Anderson responded to Clay’s posting with this idea:

Here’s an idea: […] the teacher can use the [most advanced] AI tool to generate a complete solution to “the problem” — whatever that is — and demonstrate how to do that in class. Give all the students access to the document with the results.

And then grade the students on a comprehensive followup activity / presentation of executing that solution (no notes, no more than 10 words on a slide). So the students all have access to the same deep AI result, but have to show they comprehend and can iterate on that result.

Grammarly just made it easier to prove the sources of your text in Google Docs — from zdnet.com by Jack Wallen
If you want to be diligent about proving your sources within Google Documents, Grammarly has a new feature you’ll want to use.

In this age of distrust, misinformation, and skepticism, you may wonder how to demonstrate your sources within a Google Document. Did you type it yourself, copy and paste it from a browser-based source, copy and paste it from an unknown source, or did it come from generative AI?

You may not think this is an important clarification, but if writing is a critical part of your livelihood or life, you will definitely want to demonstrate your sources.

That’s where the new Grammarly feature comes in.

The new feature is called Authorship, and according to Grammarly, “Grammarly Authorship is a set of features that helps users demonstrate their sources of text in a Google doc. When you activate Authorship within Google Docs, it proactively tracks the writing process as you write.”

AI Agents Are Coming to Higher Education — from govtech.com
AI agents are customizable tools with more decision-making power than chatbots. They have the potential to automate more tasks, and some schools have implemented them for administrative and educational purposes.

Custom GPTs are on the rise in education. Google’s version, Gemini Gems, includes a premade version called Learning Coach, and Microsoft announced last week a new agent addition to Copilot featuring use cases at educational institutions.

Generative Artificial Intelligence and Education: A Brief Ethical Reflection on Autonomy — from er.educause.edu by Vicki Strunk and James Willis
Given the widespread impacts of generative AI, looking at this technology through the lens of autonomy can help equip students for the workplaces of the present and of the future, while ensuring academic integrity for both students and instructors.

The principle of autonomy stresses that we should be free agents who can govern ourselves and who are able to make our own choices. This principle applies to AI in higher education because it raises serious questions about how, when, and whether AI should be used in varying contexts. Although we have only begun asking questions related to autonomy and many more remain to be asked, we hope that this serves as a starting place to consider the uses of AI in higher education.

A Practical Framework for Microlearning Success: A Guide for Learning Leaders [Defelice]

On 01/22/2025, in adult learning, business, corporate / business world, corporate universities / corporate training, instructional design, learning, learning ecosystem, Learning Experience Design, microlearning, productivity / tips and tricks, professional development, training / L&D, United States, vendors, by Daniel Christian

A Practical Framework for Microlearning Success: A Guide for Learning Leaders — from learningguild.com by Robyn A. Defelice

Gaining insight from the framework

Goals or Measurable Outcomes

Key question: What business results do you expect from your microlearning strategy?
Why it’s valuable: Clear, measurable outcomes create a foundation for alignment and accountability.

Purpose

Key question: Why does this microlearning initiative exist?
Why it’s valuable: L&D needs to know if they are solving a specific problem, supporting a broader strategy, or providing foundational knowledge.

Potential

Key question: What opportunities exist if the purpose is actualized?
Why it’s valuable: This helps to put into focus the measurable outcomes or if it is a true need for L&D to address.

Evaluation

Key question: How will you measure success?
Why it’s valuable: Defining metrics that track learner progress and link to business impact ensures that the design of these pieces is part of the overall solution and implementation plan.

…and more

By focusing on short-term wins, auditing for gaps, and planning strategically, L&D leaders can create initiatives that deliver meaningful, sustained results.

Advice for students: Be adaptable. Be agile. Be lifelong learners. [Christian]

On 01/22/2025, in business, career development, change, changing business models, corporate / business world, Daniel S. Christian, ideas, lifelong learning, productivity / tips and tricks, reinvent, skills, society, staying relevant, student-related, surviving, training / L&D, United States, workplace, by Daniel Christian

‘Lazy and Mediocre’ HR Team Fired After Manager’s Own CV Gets Auto-Rejected in Seconds, Exposing System Failure

On 01/21/2025, in Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), business, career development, corporate / business world, Daniel S. Christian, intelligent systems, IT in HE, UK, United States, workplace, by Daniel Christian

‘Lazy and Mediocre’ HR Team Fired After Manager’s Own CV Gets Auto-Rejected in Seconds, Exposing System Failure — from ibtimes.co.uk by Vinay Patel
The automated system’s error highlights the potential for bias and inefficiency in technology-driven HR practices

An entire HR team was terminated after their manager discovered and confirmed that their system automatically rejected all candidates — including his own application.

The manager wrote in their comment, “Auto rejection systems from HR make me angry.” They explained that while searching for a new employee, their HR department could not find a single qualified candidate in three months. As expected, the suspicious manager decided to investigate.

“I created myself a new email and sent them a modified version of my CV with a fake name to see what was going on with the process,” they wrote. “And guess what, I got auto-rejected. HR didn’t even look at my CV.”

When the manager reported the issue to upper management, “half of the HR department was fired in the following weeks.” A typographical error with significant consequences caused the entire problem.

The manager works in the tech industry and was trying to hire developers. However, HR had set up the system to search for developers with expertise in the wrong development software and one that no longer exists.

From DSC:
Back in 2017, I had survived several rounds of layoffs at the then Calvin College (now Calvin University) but I didn’t survive the layoff of 12 people in the spring of 2017. I hadn’t needed to interview for a new job in quite a while. So boy, did I get a wake-up call with discovering that Applicant Tracking Systems existed and could be tough to get past. (Also, the old-school job replacement firm that Calvin hired wasn’t much help in dealing with them either.)

I didn’t like these ATSs then, and I still have my concerns about them now. The above article points out that my concerns were/are at least somewhat founded. And if you take the entire day to research and apply for a position — only to get an instant reply back from the ATS — it’s very frustrating and discouraging.

Plus the ATSs may not pick up on nuances. An experienced human being might be able to see that a candidate’s skills are highly relevant and/or transferable to the position that they’re hiring for.

Networking is key of course. But not everyone has been taught about networking and not everyone gets past the ATS to get their resume viewed by a pair of human eyes. HR, IT, and any other relevant groups here need to be very careful with programming their ATSs.

The Real Deal: A series exploring what we know about the quality of nondegree credentials. [workshift.org]

On 01/21/2025, in adult learning, Alternatives, career development, corporate / business world, credentialing, higher education, marketplaces, new business models, quality, by Daniel Christian

The Real Deal — from workshift.org
A series exploring what we know about the quality of nondegree credentials.

The above link/page includes the posting:

Understanding Influencers in the World of Nondegree Credentials — by Michelle Van Noy and Tom Hilliard
There’s no single arbiter of nondegree quality, but rather a host of “quality influencers” who seek to shape the market.

They respond to needs that the degree-credit system has not efficiently met: quick start-up, shorter sequences, relationships with third-party credential issuers, real-time employer engagement, and so on. The complexity of the needs of the market and of learners has led to a proliferation of diverse credentials, and a landscape that continues to evolve in surprising directions.

Amid this complexity, there’s no one single arbiter of quality but rather a host of “quality influencers” who seek to shape the market in different ways. Exploring who those influencers are, how they approach their work, and what they seek to accomplish is essential to understanding what quality means for noncredit credentials—and what could happen in years to come.

Learning Ecosystems

A Practical Framework for Microlearning Success: A Guide for Learning Leaders [Defelice]

The Real Deal: A series exploring what we know about the quality of nondegree credentials. [workshift.org]

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