How new AI chatbots could help teachers with their toughest problems — from fastcompany.com by Greg Toppo
At least two groups are working on bots that would make peer-reviewed research, buried in expensive academic journals, accessible for everyday use.

But this fall, a few educators are quietly charting a different course they believe could change everything: At least two groups are pushing to create new AI chatbots that would offer teachers unlimited access to sometimes confusing and often paywalled peer-reviewed research on the topics that most bedevil them.

Their aspiration is to offer new tools that are more focused and helpful than wide-ranging ones like ChatGPT, which tends to stumble over research questions with competing findings. Like many juveniles faced with questions they can’t answer, it has a frustrating tendency to make things up.

Using ChatGPT Custom Instructions for Fun and Profit — from every.to by Dan Shipper
How to 10x ChatGPT with personalized answers 

Then, I turned Custom Instructions on and gave it the same starting prompt. Here are a few of the responses (emphases are mine):

Purpose: What’s the primary goal of the course? Is it to augment your existing offerings at Every, serve as a standalone product, or something else?”

Content Depth: Given your love for detailed, intellectual writing, how in-depth will you go on each topic?”

Guest Contributions: Do you plan to involve guest experts, perhaps even some of your writing heroes or team members like Kate Lee and Evan Armstrong?”

Time Investment: Given that you’re already grappling with being too opportunistic and dutiful, how will you allocate time for this without sidelining your creative work or burdening yourself?”

AI for comics — from aiandacademia.substack.com by Bryan Alexander
Exploring an entertaining new Hugging Face application

As generative AI grows, more uses appear. Beyond text and images, other domains for creation pop up as companies, groups, and individuals try out new functions.

Today’s case in point is AI Comic Factory from Hugging Face.* This service will generate a couple of comic book pages based on your text input. It gives you choices of comic style and page layout as well.

Items from Tom Barrett’ Promptcraft: AI for a better learning ecosystem

This new AI video tool clones your voice in 7 languages — and it’s blowing up  — from sg.news.yahoo.com by Christoph Schwaiger

How many languages do you speak? Thanks to AI, that number could be as many as seven. Los Angeles-based AI video platform HeyGen has launched a new tool that clones your voice from a video and translates what you’re saying into seven different languages. If that wasn’t enough, it also syncs your lips to your new voice so the final clip looks (and sounds) as realistic as possible.

Microsoft and Project Gutenberg release over 5,000 free audiobooks — from the-decoder.com by Matthias Bastian

Microsoft and Project Gutenberg have used AI technologies to create more than 5,000 free audiobooks with high-quality synthetic voices.

For the project, the researchers combined advances in machine learning, automatic text selection (which texts are read aloud, which are not), and natural-sounding speech synthesis systems.

 

 

Michigan may lift 9-month wait period, pay retirees amid teacher shortage — from mlive.com by Jordyn Hermani

After barring educators from returning to Michigan schools in any capacity for nine months following their retirement, the state legislature is looking to lift the ban and pay some returnees up to $30,200 in the process.

Under House Bill 4752, lawmakers would amend the state’s public school retirement act to allow retirees to work for schools while continuing to receive their pensions and other retirement benefits, such as health care.

 

 

Preparing Students for the AI-Enhanced Workforce — from insidehighered.com by Ray Schroeder
Our graduating and certificate-completing students need documented generative AI skills, and they need them now.

The common adage repeated again and again is that AI will not take your job; a person with AI skills will replace you. The learners we are teaching this fall who will be entering, re-entering or seeking advancement in the workforce at the end of the year or in the spring must become demonstrably skilled in using generative AI. The vast majority of white-collar jobs will demand the efficiencies and flexibilities defined by generative AI now and in the future. As higher education institutions, we will be called upon to document and validate generative AI skills.


AI image generators: 10 tools, 10 classroom uses — from ditchthattextbook.com by Matt Miller

AI image generators: 10 tools, 10 classroom uses


A Majority of New Teachers Aren’t Prepared to Teach With Technology. What’s the Fix? — from edweek.org by Alyson Klein

Think all incoming teachers have a natural facility with technology just because most are digital natives? Think again.

Teacher preparation programs have a long way to go in preparing prospective educators to teach with technology, according to a report released September 12 by the International Society for Technology in Education, a nonprofit.

In fact, more than half of incoming teachers—56 percent—lack confidence in using learning technology prior to entering the classroom, according to survey data included with the report.


5 Actual Use Cases of AI in Education: Newsletter #68 — from transcend.substack.com by Alberto Arenaza
What areas has AI truly impacted educators, learners & workers?

  1. AI Copilot for educators, managers and leaders
  2. Flipped Classrooms Chatbots
  3. AI to assess complex answers
  4. AI as a language learning tool
  5. AI to brainstorm ideas

AI-Powered Higher Ed — from drphilippahardman.substack.com by  Dr. Philippa Hardman
What a House of Commons round table discussion tells us about how AI will impact the purpose of higher education

In this week’s blog post I’ll summarise the discussion and share what we agreed would be the most likely new model of assessment in HE in the post-AI world.

But this in turn raises a bigger question: why do people go to university, and what is the role of higher education in the twenty first century? Is it to create the workforce of the future? Or an institution for developing deep and original domain expertise? Can and should it be both?


How To Develop Computational Thinkers — from iste.org by Jorge Valenzuela

In my previous position with Richmond Public Schools, we chose to dive in with computational thinking, programming and coding, in that order. I recommend building computational thinking (CT) competency first by helping students recognize and apply the four elements of CT to familiar problems/situations. Computational thinking should come first because it’s the highest order of problem-solving, is a cross-curricular skill and is understandable to both machines and humans. Here are the four components of CT and how to help students understand them.

 

Generative A.I. + Law – Background, Applications and Use Cases Including GPT-4 Passes the Bar Exam – Speaker Deck — from speakerdeck.com by Professor Daniel Martin Katz

 

 

 


Also relevant/see:

AI-Powered Virtual Legal Assistants Transform Client Services — from abovethelaw.com by Olga V. Mack
They can respond more succinctly than ever to answer client questions, triage incoming requests, provide details, and trigger automated workflows that ensure lawyers handle legal issues efficiently and effectively.

Artificial Intelligence in Law: How AI Can Reshape the Legal Industry — from jdsupra.com

 

From DSC:
In Rick Seltzer’s Daily Briefing for 9-18-23, he ends the briefing with this important point:

The bigger picture: Culture is exceedingly hard to change, especially after trust evaporates in a crisis. And crises can be particularly wrenching when institutions haven’t established cultures of transparency and accountability during good times. Instead, trust continues to erode in a vicious cycle.

And I thought to myself, the scope of Rick’s conclusion could likely be expanded/applied to institutions of higher education as a whole.

 

What Will Determine AI’s Impact on College Teaching? 5 Signs to Watch. — from chronicle.com by Beth McMurtrie (behind a paywall)

One of the biggest challenges to navigate now is the fact that more digital tools will come with generative AI already embedded in them, says Annette Vee, director of composition and an associate professor at the University of Pittsburgh. “It’s everywhere in professional writing.”

“We need to be fundamentally rethinking ways we teach writing, so we are thinking about integrating tools mindfully,” says Vee, who helped develop a new resource, TextGenEd, that provides guidance in this area. “The real challenge is how do we teach courses that are preparing students and that are smart about generative AI? We have very few teachers currently equipped to do that work.”

“It’s best if there are real stakes attached to the work, for example, an authentic audience the student is writing to,” he writes. “A subject on which students have both sufficient interest and knowledge in order to feel as though they can write convincingly to this audience also matters a lot.”


Also relevant/see — via Robert Gibson on LinkedIn:

Learnt.ai — Built for Learning Specialists — from learnt.ai
Harness the power of artificial intelligence to enhance your learning and development efforts with our easy-to-use platform – no technical expertise required!

Introducing Learnt.ai – a revolutionary collection of AI-powered content generation tools and AI chatbots that are specifically designed to support the common writing tasks of educationalists and learning and development professionals. Imagine being able to generate learning objectives on any topic of your choice, create engaging icebreakers and activities, write assessment questions with ease, and so much more.


Also relevant/see:

An AI and higher education panel — from aiandacademia.substack.com by Bryan Alexander
Live notes

Today I took in a webinar on AI and higher education. The American Association of Colleges and Universities hosted “The AI Revolution: Transforming Higher Education for the Workforce of Tomorrow” and I’d like to share my running notes.


Also relevant/see:

Students’ Perspectives on Using AI — from er.educause.edu by Sarah J. Buszka, Jeremy Cortez, and Isabella Meltzer

Students are using artificial intelligence tools to assist them in their academic careers. Three students share their viewpoints on the tools they use and how using these tools helps them in their coursework and prepares them for the professional world.


Also relevant/see:

Why Professors Are Polarized on AI — from insidehighered.com by Susan D’Agostino
Academics who perceive threats to education from AI band together as a survival mechanism. The resulting alliances echo divisions formed during online learning’s emergence.

 

Ask the Chair: Are Great Chairs Born or Made? — from chronicle.com by Kevin Dettmar (behind a paywall)
Higher education is finally getting serious about training new department heads.

Great chairs aren’t born, but made; “trial and error” isn’t actually a professional-development strategy. The provost and deans should recognize that a confident and competent chair makes their job easier, creates a well-functioning department, and buoys faculty, student, and staff morale.

As someone vitally engaged with the chair’s role, I do think we are experiencing a sea-change when it comes to how institutions are preparing chairs. For too long, colleges have treated the position as simply a minor cog in the chain of command. But more and more institutions are now investing in their chairs.

 

Teaching: These office hours offer more than academic support — from chronicle.com by Beckie Supiano

Why do so many students have the impression that they should attend office hours only if they’ve got a question? Here’s my hunch: Well-meaning, supportive professors mention their office hours at various points throughout the course: If you have questions about fill-in-the-blank, come to my office hours. The professors mean, “I am here to help! Come talk to me.” Students hear: “If you have a question.”

It’s a frustrating misunderstanding, because it contributes to the big problem my article focuses on: Many students miss out on the support professors stand to provide.

‘Adjunct Faculty 101’
“Sessions offered this year included ‘An Orientation to the Canvas LMS,’ ‘The First Day of Class,’ ‘Creating Student-Centered Course Materials,’ ‘Classroom-Management Tips,’ ‘Academic-Integrity Tips and Processes,’ ‘An Introduction to Our Tutoring Services and Writing Center,’ ‘Writing Across the Disciplines With AI,’ and more.”

From DSC:
I like the idea of using “office hours” for building relationships, helping students with their future career decisions, building broader understanding, ongoing mentoring, and for developing potential networking opportunities.

 

An excerpt from ‘The Magnificent Seven’ posting from Brandon Busteed on LinkedIn:

6. Create externship programs for faculty. Many college and university faculty have never worked outside of academia. Given a chance to be exposed to modern workplaces and work challenges, faculty will find innovative and creative ways to weave more work-integrated learning into their curriculum.

From DSC:
This is a great idea — thanks Brandon!

I might add another couple of thoughts here as well:

  • And/or treat your Adjunct Faculty Members much better as well!
  • And/or work with more L&D Departments at local companies (i.e., to develop closer, more beneficial/WIN-WIN collaborations).
 


AI Can Teach Students a Powerful Lesson About the Truth — from edweek.org by Rachna Nath
How I’m harnessing ChatGPT in the classroom

What we teachers desperately need, though, is an ocean of examples and training. We need to see and share examples of generative AI—any type of artificial intelligence that can be used to create new text, images, video, audio, code, or data—being used across the curriculum. We need catalogs of new lesson plans and new curriculum.

And we need training on theoretical and practical levels: training to understand what artificial intelligence actually is and where it stands in the development timeline and training about how to integrate it into our classes.

So, my advice to teachers is to use any and all the generative AI you can get your hands on. Then experience—for yourself—verification of the information. Track it back to the source because in doing so, you’ll land on the adjustments you need to make in your classes next year.

From DSC:
Interesting.

Learners can now seamlessly transition between AI-powered assistance (AI Tutor) and Live Expert support to get access to instant support, whether through AI-guided learning or real-time interactions with a human expert.

From Brainly Enrolls New AI-Powered Tools for More
Personalized and Accessible Learning
(businesswire.com)


ASSIGNMENT MAKEOVERS IN THE AI AGE WITH DEREK BRUFF — from teachinginhighered.com by Bonni Stachowiak
Derek Bruff shares about assignment makeovers in the AI age on episode 481 of the Teaching in Higher Ed podcast


Comment on this per Derek Bruff:

Why not ask ChatGPT to write what King or X would say about a current debate and then have the students critique the ChatGPT output? That would meet the same learning goals while also teaching AI literacy.

(Be sure to read Asim’s contribution for a useful take.)



Generative AI in Schools: A Closer Look and Future Predictions — from thejournal.com by Ted Mo Chen (emphasis DSC)

Here’s a closer look at the concurrent AI landscape in schools — and a prediction of what the future holds.

So far, high-profile ventures in the instruction realm, such as Kyron Learning, have fused teacher-produced, recorded content with LLM-powered conversational UX. The micro-learning tool Nolej references internet material when generating tasks and tests, but always holds the language model closely to the ground truth provided by teachers. Both are intriguing takes on re-imagining how to deliver core instruction and avoid hallucinations (generated content that is nonsensical).

Also see this posting on LinkedIn about that article, where Ted Mo Chen mentions the following companies:

Companies to watch:


New report: Trends in Learning 2023 — from open.ac.uk by Professor Agnes Kukulska-Hulme

So, what six trends have we chosen for this year’s report? They are: advances in AI, the metaverse and learningchallenge-based learningentrepreneurial learningseeing yourself in the curriculum and multimodal learning. In the report, we discuss each of the trends in turn, why we think they are important and the impact they are already having or will have on workplace learning. We have also interviewed six people, experts in their field, to find out their opinions and experiences of the trends, sharing their insights in the report.


Unity executive shares her thoughts on the future of education and technology with the rise in popularity of A.I. and real-time 3D content — from fortune.com by Preston Fore

As a result, real-time 3D jobs are among the most in demand within the tech industry. According to Unity’s vice president of Education and Social Impact, Jessica Lindl, demand is 50% higher than traditional IT jobs—adding that salaries for real-time 3D jobs are 60% greater.

“We want to provide really simple on ramps and pathways that will lead you into entry level jobs so that at any point in your career, you can decide to transfer into the industry,” Lindl says.


How universities worldwide are responding to generative AI — from linkedin.com by University World News

University World News continues its exploration of generative AI in our new special report on ‘AI and Higher Education’. In commentaries and features, academics and our journalists around the world investigate issues and developments around AI that are impacting on universities. Generative AI tools are challenging and changing higher education systems and institutions — how they are run as well as ways of teaching and learning and conducting research.

We’ve collated the lead articles below for you to read and the full report is available here.


What’s the future of generative AI? An early view in 15 charts — from mckinsey.com
Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject.


Teaching in the Age of AI — from cft.vanderbilt.edu by Michael Coley, Stacey M. Johnson, Paige Snay, Joe Bandy, John Bradley, and Ole Molvig

This guide will explore:

  • What is generative AI, and where can it be found?
  • How can I harness generative AI tools in my teaching to improve student learning?
  • How can I craft assignments that deter unauthorized use of generative AI?
  • How does academic integrity relate to generative AI tools?
  • What resources are there for instructors who want to engage with generative AI tools?

15 Inspirational Voices in the Space Between AI and Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Get Inspired for AI and The Future of Education.

My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI.

This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.

My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to.

I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.


It is crucial to recognize that the intrinsic value of higher education isn’t purely in its ability to adapt to market fluctuations or technological innovations. Its core strength lies in promoting critical thinking, nurturing creativity, and instilling a sense of purpose and belonging. As AI progresses, these traits will likely become even more crucial. The question then becomes if higher education institutions as we know them today are the ony ones, or indeed the best ones, equipped to convey those core strengths to students.

Higher education clearly finds itself caught in a whirlwind of transformation, both in its essence and execution. The juxtaposition of legacy structures and the evolving technological landscape paints a complex picture.

For institutional leaders, the dual challenge lies in proactively seeking and initiating change (not merely adapting to it) without losing sight of their foundational principles. Simultaneously, they must equip students with skills and perspectives that AI cannot replicate.

— from Is Higher Education Nearing the Tipping Point?
by Jeppe Klitgaard Stricker


EdTech Companies Are Racing to Build a Github Copilot for Teachers. This Will Not Be Easy. — from danmeyer.substack.com by Dan Meyer; via Matthew Tower
Generative AI has produced an extremely useful tool for software developers. Can it do the same for teachers?

Also, Matthew Tower, pulled this quote from The big problem with grades. / via Washington Post

“They begged, bargained with, and berated their instructor in pursuit of better grades — not “because they like points,” but rather, “because the education system has told them that these points are the currency with which they can buy a successful future.”” 

 

RE: K12

K-12 Education Satisfaction in U.S. Ties Record Low — from news.gallup.com by Megan Brenan; via Matthew Tower

STORY HIGHLIGHTS

  • 36% satisfied with U.S. K-12 education quality, matching record low in 2000
  • 76% of K-12 parents satisfied with own child’s, 41% with U.S., education
  • Republicans’ satisfaction with K-12 education at new low of 25%

Still, parents of elementary and secondary school students remain quite satisfied with the education their child is getting, and they offer mostly positive reviews of the performance of their children’s teachers. If parental satisfaction wanes, however, parents may choose to move their child to a different school.

***

RE: HIGHER EDUCATION

Our exclusive poll reveals a mixed bag for colleges — from chronicle.com by Rick Seltzer (and article by Eric Kelderman)

Exclusive new polling by The Chronicle suggests Americans still believe that college credentials have value, even as many hold reservations about higher education’s track record of benefiting society and educating students, our Eric Kelderman reports.

People would generally tell a close friend or relative that getting a college degree is worth it, according to a national survey conducted for The Chronicle. Almost eight in 10 respondents said they’d tell a close friend to seek a bachelor’s degree. Even among those who thought their own associate or bachelor’s degree wasn’t worthwhile, 57 percent would tell a friend to go for a bachelor’s.

But wait. Respondents were tepid when asked how well colleges were fulfilling key parts of their missions.

  • Only 30 percent said colleges were doing an excellent or very good job leveling the playing field for success.
  • Just 40 percent said colleges are excellent or very good at educating students.
  • A flashing red light: Those with more education felt worse about colleges’ ability to educate students than did those with a high-school degree or less.

The bigger picture: Colleges still have reservoirs of public support to tap, but they can’t expect to win more hearts and minds merely by telling their stories better. Higher ed’s skeptics include many people who’ve passed through campuses, suggesting business as usual won’t cut it — even when it comes to the core work of educating students.

Education for What? — from gallup.com

Despite enrollment and completion rates declining and Americans’ confidence in higher education falling, the economic case for earning a college degree remains solid. College graduates earn about $1 million more over the course of their working years than U.S. adults with no college degree, on average.

However, a college degree has value beyond financial gain.

The results show that additional years of education beyond high school make for a healthier, more civic-minded individual who is more likely to interact with neighbors and family members, and to do work that aligns with their natural talents and interests.


Addendum on 9/11/23:

New study assesses recent community college students’ views on value of their education — from stradaeducation.org by Alicia Garceau Halbert
Most say they accomplished what they wanted from their experience, even though only 1 in 3 completed associate degree

 

The Prompt #14: Your Guide to Custom Instructions — from noisemedia.ai by Alex Banks

Whilst we typically cover a single ‘prompt’ to use with ChatGPT, today we’re exploring a new feature now available to everyone: custom instructions.

You provide specific directions for ChatGPT leading to greater control of the output. It’s all about guiding the AI to get the responses you really want.

To get started:
Log into ChatGPT ? Click on your name/email bottom left corner ? select ‘Custom instructions’


Meet Zoom AI Companion, your new AI assistant! Unlock the benefits with a paid Zoom account — from blog.zoom.us by Smita Hashim

We’re excited to introduce you to AI Companion (formerly Zoom IQ), your new generative AI assistant across the Zoom platform. AI Companion empowers individuals by helping them be more productive, connect and collaborate with teammates, and improve their skills.

Envision being able to interact with AI Companion through a conversational interface and ask for help on a whole range of tasks, similarly to how you would with a real assistant. You’ll be able to ask it to help prepare for your upcoming meeting, get a consolidated summary of prior Zoom meetings and relevant chat threads, and even find relevant documents and tickets from connected third-party applications with your permission.

From DSC:
You can ask AI Companion to catch you up on what you missed during a meeting in progress.”

And what if some key details were missed? Should you rely on this? I’d treat this with care/caution myself.



A.I.’s un-learning problem: Researchers say it’s virtually impossible to make an A.I. model ‘forget’ the things it learns from private user data — from fortune.com by Stephen Pastis (behind paywall)

That’s because, as it turns out, it’s nearly impossible to remove a user’s data from a trained A.I. model without resetting the model and forfeiting the extensive money and effort put into training it. To use a human analogy, once an A.I. has “seen” something, there is no easy way to tell the model to “forget” what it saw. And deleting the model entirely is also surprisingly difficult.

This represents one of the thorniest, unresolved, challenges of our incipient artificial intelligence era, alongside issues like A.I. “hallucinations” and the difficulties of explaining certain A.I. outputs. 


More companies see ChatGPT training as a hot job perk for office workers — from cnbc.com by Mikaela Cohen

Key points:

  • Workplaces filled with artificial intelligence are closer to becoming a reality, making it essential that workers know how to use generative AI.
  • Offering specific AI chatbot training to current employees could be your next best talent retention tactic.
  • 90% of business leaders see ChatGPT as a beneficial skill in job applicants, according to a report from career site Resume Builder.

OpenAI Plugs ChatGPT Into Canva to Sharpen Its Competitive Edge in AI — from decrypt.co by Jose Antonio Lanz
Now ChatGPT Plus users can “talk” to Canva directly from OpenAI’s bot, making their workflow easier.

This strategic move aims to make the process of creating visuals such as logos, banners, and more, even more simple for businesses and entrepreneurs.

This latest integration could improve the way users generate visuals by offering a streamlined and user-friendly approach to digital design.


From DSC:
This Tweet addresses a likely component of our future learning ecosystems:


Large language models aren’t people. Let’s stop testing them as if they were. — from technologyreview.com by Will Douglas Heaven
With hopes and fears about this technology running wild, it’s time to agree on what it can and can’t do.

That’s why a growing number of researchers—computer scientists, cognitive scientists, neuroscientists, linguists—want to overhaul the way they are assessed, calling for more rigorous and exhaustive evaluation. Some think that the practice of scoring machines on human tests is wrongheaded, period, and should be ditched.

“There’s a lot of anthropomorphizing going on,” she says. “And that’s kind of coloring the way that we think about these systems and how we test them.”

“There is a long history of developing methods to test the human mind,” says Laura Weidinger, a senior research scientist at Google DeepMind. “With large language models producing text that seems so human-like, it is tempting to assume that human psychology tests will be useful for evaluating them. But that’s not true: human psychology tests rely on many assumptions that may not hold for large language models.”


We Analyzed Millions of ChatGPT User Sessions: Visits are Down 29% since May, Programming Assistance is 30% of Use — from sparktoro.com by Rand Fishkin

In concert with the fine folks at Datos, whose opt-in, anonymized panel of 20M devices (desktop and mobile, covering 200+ countries) provides outstanding insight into what real people are doing on the web, we undertook a challenging project to answer at least some of the mystery surrounding ChatGPT.



Crypto in ‘arms race’ against AI-powered scams — Quantstamp co-founder — from cointelegraph.com by Tom Mitchelhill
Quantstamp’s Richard Ma explained that the coming surge in sophisticated AI phishing scams could pose an existential threat to crypto organizations.

With the field of artificial intelligence evolving at near breakneck speed, scammers now have access to tools that can help them execute highly sophisticated attacks en masse, warns the co-founder of Web3 security firm Quantstamp.


 

Why Christians need to support diversity professionals, not demonize them — from religionnews.com by Michelle Loyd-Paige
Even among Christians, DEI leaders find themselves isolated and unsupported.

For nearly 39 years, I have taught about and advocated for diversity, equity, inclusion, anti-racism and social justice in Christian contexts. I have been sustained by the knowledge that diversity is a part of God’s good creation and is celebrated in the Bible. 

And not just diversity, but love for our neighbors, care for the immigrant, and justice for the marginalized and oppressed. In fact, the Hebrew and Greek words for justice appear in Scripture more than 1,000 times. 

It could be argued that Jesus’ ministry on earth exemplified the value of diversity, the importance of inclusion and the obligation of justice and restoration. Our ministry — in schools, churches, business, wherever we find ourselves — should reflect the same.

From DSC:
I was at Calvin (then College) when Michelle was there. I am very grateful for her work over my 10+ years there. I learned many things from her and had my “lenses” refined several times due to her presentations, questions, and the media that she showed. Thank you Michelle for all of your work and up-hill efforts! It’s made a difference! It impacted the culture at Calvin. It impacted me.

The other thing that hepled me in my background was when my family moved to a much more diverse area. And I’ve tried to continue that perspective in my own family. I don’t know half of the languages that are spoken in our neighborhood, but I love the diversity there! I believe our kids (now mostly grown) have benefited from it and are better prepared for what they will encounter in the real world.

 

Start these 3 classroom habits ASAP! — from etrievalpractice.org by Pooja K. Agarwal, Ph.D.

Habit #2: Engage students in a brain dump or two things as an entry ticket or exit ticket. Spend one minute or less having students write down everything (or just two things) they remember from class. The key: Don’t grade it! Keep retrieval practice no-stakes to emphasize it’s a learning strategy, not an assessment strategy.

Teaching from the heart in 13 steps — from timeshighereducation.com by Beiting He
Engaging your students through empathy requires teachers to share their own stories and vulnerabilities and foster a safe space for learning. Here, Beiting He offers 13 ways to create a caring classroom

Move student communication from passive to active using ‘I like, I wish, I wonder’ — from timeshighereducation.com by Rebeca Elizabeth Alvarado Ramírez
Rebeca Elizabeth Alvarado Ramírez introduces a methodology that encourages effective communication in digital learning processes

In summary, “I wish” is about proposing positive changes and improvements, while “I wonder” is about asking thoughtful questions to gain insight and foster meaningful conversations within the team.

 

Snøhetta breaks ground on Charlotte library with “translucent prow” — from dezeen.com by Ellen Eberhardt

The library is five storeys with a warped, glass facade

 
© 2025 | Daniel Christian