The Librarian: Can we prompt ChatGPT to generate reliable references? — from drphilippahardman.substack.com by Dr. Philippa Hardman

Lessons Learned

  • Always assume that ChatGPT is wrong until you prove otherwise.
  • Validate everything (and require your students to validate everything too).
  • Google Scholar is a great tool for validating ChatGPT outputs rapidly.
  • The prompt works better when you provide a subject area, e.g. visual anthropology, and then a sub-topic, e.g. film making.
  • Ignore ChatGPT’s links – validate by searching for titles & authors, not URLs.
  • Use intentional repetition, e.g. of Google Scholar, to focus ChatGPT’s attention.
  • Be aware: ChatGPT’s outputs end at 2021. You need to fill in the blanks since then.
 

13 Formative Assessments That Inspire Creativity — from edutopia.org by Paige Tutt
Sometimes mixing in formative assessments that go a step beyond exit slips and low-stakes quizzes can inject some fun—and creativity—into learning.

Excerpt:

Quick checks for understanding aren’t new, of course, but when time allows, occasionally injecting an element of creativity into formative assessments can deliver unexpected benefits. For example—regardless of a student’s artistic talent—research suggests that drawing the information they’re learning can increase student recall by nearly double. And when kids are encouraged to tap into their imagination to show what they know, they tend to ask more innovative questions of themselves, brainstorm fresh solutions to problems, and synthesize material in original and surprising ways.

Here are 13 formative assessment strategies that lean into creativity—inspired by the work of several Edutopia contributors, and from Finley’s handy list of quick checks for understanding.

Also see:

Is This Elementary School Near Pittsburgh the Future of Education? — from smithsonianmag.com by Kellie B. Gormly; with thanks to Tom Vander Ark out on Twitter for this resource
Ehrman Crest Elementary and Middle School is an innovative blend of children’s museum and classroom

A winding ramp curls up the center of the school. Laura Peters/CannonDesign

Excerpt (emphasis DSC):

At Seneca Valley’s Ehrman Crest Elementary and Middle School, K-6 students are benefiting from an unusual collaboration. School leaders, architects and the Children’s Museum of Pittsburgh teamed up on the $63 million project, which opened in August 2022 after 790 construction days. With a student capacity of 1,400, the 200,000-square-foot facility takes a novel approach, forgoing the traditional school design for the playful, interactive, colorful elements of a children’s museum. Time magazine declared it one of the “Best Inventions of 2022.”

Matilda McQuaid, acting curatorial director at Cooper Hewitt, Smithsonian Design Museum in New York City, says this is the first time she has heard of a museum collaborating with a school to create a new environment from the ground up.

From DSC:
I love this collaboration — a children’s museum and a school district! — and the energy and creativity throughout this learning space!

17 Engaging Taxonomy Activities — from teachingexpertise.com

17 Engaging Taxonomy Activities

Students Need More Exercise. Here’s How to Add Activity Without Disrupting Learning — from edweek.org by Sarah D. Sparks

5 Ways to Inspire a Love for Learning in Students — from edweek.org by Elizabeth Heubeck

 

ChatGPT is Everywhere — from chronicle.com by Beth McMurtrie
Love it or hate it, academics can’t ignore the already pervasive technology.

Excerpt:

Many academics see these tools as a danger to authentic learning, fearing that students will take shortcuts to avoid the difficulty of coming up with original ideas, organizing their thoughts, or demonstrating their knowledge. Ask ChatGPT to write a few paragraphs, for example, on how Jean Piaget’s theories on childhood development apply to our age of anxiety and it can do that.

Other professors are enthusiastic, or at least intrigued, by the possibility of incorporating generative AI into academic life. Those same tools can help students — and professors — brainstorm, kick-start an essay, explain a confusing idea, and smooth out awkward first drafts. Equally important, these faculty members argue, is their responsibility to prepare students for a world in which these technologies will be incorporated into everyday life, helping to produce everything from a professional email to a legal contract.

“Artificial-intelligence tools present the greatest creative disruption to learning that we’ve seen in my lifetime.”

Sarah Eaton, associate professor of education at the University of Calgary



Artificial intelligence and academic integrity, post-plagiarism — from universityworldnews.com Sarah Elaine Eaton; with thanks to Robert Gibson out on LinkedIn for the resource

Excerpt:

The use of artificial intelligence tools does not automatically constitute academic dishonesty. It depends how the tools are used. For example, apps such as ChatGPT can be used to help reluctant writers generate a rough draft that they can then revise and update.

Used in this way, the technology can help students learn. The text can also be used to help students learn the skills of fact-checking and critical thinking, since the outputs from ChatGPT often contain factual errors.

When students use tools or other people to complete homework on their behalf, that is considered a form of academic dishonesty because the students are no longer learning the material themselves. The key point is that it is the students, and not the technology, that is to blame when students choose to have someone – or something – do their homework for them.

There is a difference between using technology to help students learn or to help them cheat. The same technology can be used for both purposes.

From DSC:
These couple of sentences…

In the age of post-plagiarism, humans use artificial intelligence apps to enhance and elevate creative outputs as a normal part of everyday life. We will soon be unable to detect where the human written text ends and where the robot writing begins, as the outputs of both become intertwined and indistinguishable.

…reminded me of what’s been happening within the filmmaking world for years (i.e., such as in Star Wars, Jurrasic Park, and many others). It’s often hard to tell what’s real and what’s been generated by a computer.
 

What Can A.I. Art Teach Us About the Real Thing? — from newyorker.com by Adam Gopnik; with thanks to Mrs. Julie Bender for this resource
The range and ease of pictorial invention offered by A.I. image generation are startling.

Excerpts:

The dall-e 2 system, by setting images free from neat, argumentative intentions, reducing them to responses to “prompts,” reminds us that pictures exist in a different world of meaning from prose.

And the power of images lies less in their arguments than in their ambiguities. That’s why the images that dall-e 2 makes are far more interesting than the texts that A.I. chatbots make. To be persuasive, a text demands a point; in contrast, looking at pictures, we can be fascinated by atmospheres and uncertainties.

One of the things that thinking machines have traditionally done is sharpen our thoughts about our own thinking.

And, so, “A Havanese at six pm on an East Coast beach in the style of a Winslow Homer watercolor”:

A Havanese at six pm on an East Coast beach in the style of a Winslow Homer watercolor
Art work by DALL-E 2 / Courtesy OpenAI

It is, as simple appreciation used to say, almost like being there, almost like her being there. Our means in art are mixed, but our motives are nearly always memorial. We want to keep time from passing and our loves alive. The mechanical collision of kinds first startles our eyes and then softens our hearts. It’s the secret system of art.

 

FBI, Pentagon helped research facial recognition for street cameras, drones — from washingtonpost.com by Drew Harwell
Internal documents released in response to a lawsuit show the government was deeply involved in pushing for face-scanning technology that could be used for mass surveillance

Excerpt:

The FBI and the Defense Department were actively involved in research and development of facial recognition software that they hoped could be used to identify people from video footage captured by street cameras and flying drones, according to thousands of pages of internal documents that provide new details about the government’s ambitions to build out a powerful tool for advanced surveillance.

From DSC:
This doesn’t surprise me. But it’s yet another example of opaqueness involving technology. And who knows to what levels our Department of Defense has taken things with AI, drones, and robotics.

 
 

K–12 teachers are quitting. What would make them stay? — by McKinsey & Company

K-12 teachers are quitting. What would make them stay? A teacher sits behind his desk, grading papers.

Excerpts:

When school districts can’t attract and retain enough teachers, students suffer. And the COVID-19 pandemic has only compounded the nation’s education talent challenges. To improve our understanding of what makes K–12 teachers want to stay, leave, or return to their jobs, McKinsey surveyed more than 1,800 US educators, school leaders, and school mental health professionals at the end of the 2021–22 school year (see sidebar “About the research”). Approximately one-third of respondents said they planned to leave their role before the next school year began. That equates to roughly 900,000 teachers across the nation. Our research also revealed that this pending turnover could further exacerbate inequality, hampering efforts to create more resilient and equitable K–12 education systems.2 While this stated intention to leave has historically not panned out, it suggests an unhealthiness to the profession that administrators should be mindful of.

Teachers who are thinking of leaving cite compensation, unreasonable expectations, and an inability to protect their well-being as top motivators.

 

Promoting Student Agency in Learning — from rdene915.com by Rachelle Dené Poth

Excerpts (emphasis DSC):

In many conversations, teachers are starting to shift from what has been a focus on “learning loss” and instead focus on reflecting on the skills that students gained by learning in different yet challenging ways. Some skills such as digital citizenship, how to collaborate and build relationships when not in the classroom together, and essential technology skills. Teachers learned a lot about themselves and the importance of reflecting on their practice. We learned in new ways and now, we have to continue to provide more authentic and meaningful learning experiences for all students.

From DSC:
I couldn’t agree more. There was a different type of learning going on during the pandemic. And that type of learning will be very helpful as our students live the rest of their days in an increasingly Volatile, Uncertain, Complex, and Ambiguous (VOCA) world. That kind of learning wasn’t assessed in our normal standardized tests. It may not have shown up in official transcripts. But it will come in handy in the real world.

When students experience learning that is meaningful, purposeful, and relevant to their lives, it boosts student engagement and amplifies their learning potential, to better prepare students for their future careers.

— Rachelle Dené Poth

 

‘ChatGPT Already Outperforms a lot of Junior Lawyers’: An Interview With Richard Susskind — from law.com by Laura Beveridge
For the last 20 years, the U.K. author and academic has been predicting that technology will revolutionise the legal industry. With the buzz around generative AI, will his hypothesis now be proven true?

Excerpts:

For this generation of lawyers, their mission and legacy ought to be to build the systems that replace our old ways of working, he said. Moreover, Susskind identified new work for lawyers, such as legal process analyst or legal data scientist, emerging from technological advancement.

“These are the people who will be building the systems that will be solving people’s legal problems in the future.

“The question I ask is: imagine when the underpinning large language model is GPT 8.5.”

Blue J Legal co-founder Benjamin Alarie on how AI is powering a new generation of legal tech — from canadianlawyermag.com by Tim Wilbur

Excerpts:

We founded Blue J with the idea that we should be able to bring absolute clarity to the law everywhere and on demand. The name that we give to this idea is the legal singularity. I have a book with assistant professor Abdi Aidid called The Legal Singularity coming out soon on this idea.

The book paints the picture of where we think the law will go in the next several decades. Our intuition was not widely shared when we started the book and Blue J.

Since last November, though, many lawyers and journalists have been able to play with ChatGPT and other large language models. They suddenly understand what we have been excited about for the last eight years.

Neat Trick/Tip to Add To Your Bag! — from iltanet.org by Brian Balistreri

Excerpt:

If you need instant transcription of a Audio File, Word Online now allows you to upload a file, and it will transcribe, mark speaker changes, and provide time marks. You can use video files, just make sure they are small or office will kick you out.

Generative AI Is Coming For the Lawyers — from wired.com by Chris Stoken-Walker
Large law firms are using a tool made by OpenAI to research and write legal documents. What could go wrong?

Excerpts:

The rise of AI and its potential to disrupt the legal industry has been forecast multiple times before. But the rise of the latest wave of generative AI tools, with ChatGPT at its forefront, has those within the industry more convinced than ever.

“I think it is the beginning of a paradigm shift,” says Wakeling. “I think this technology is very suitable for the legal industry.”

The technology, which uses large datasets to learn to generate pictures or text that appear natural, could be a good fit for the legal industry, which relies heavily on standardized documents and precedents.

“Legal applications such as contract, conveyancing, or license generation are actually a relatively safe area in which to employ ChatGPT and its cousins,” says Lilian Edwards, professor of law, innovation, and society at Newcastle University. “Automated legal document generation has been a growth area for decades, even in rule-based tech days, because law firms can draw on large amounts of highly standardized templates and precedent banks to scaffold document generation, making the results far more predictable than with most free text outputs.”

But the problems with current generations of generative AI have already started to show.

 

Joshua 1:9 — from biblegateway.com

Have I not commanded you? Be strong and courageous. Do not be afraid; do not be discouraged, for the Lord your God will be with you wherever you go.”

From DSC:
For me, “being with you” isn’t enough — at least in the sense of how I’ve historically thought about that phrase. As the years went by, I needed the LORD to be ACTIVELY with me. Taking action, not just watching. Participating, not just observing. 

The older I’ve gotten, the more I realize that the LORD is very active in my/our lives. In fact, I think that if we knew the extent of His activities, our minds would likely be blown. 

That doesn’t address all of the “but why?” questions I and others have. But I appreciate the LORD being active. I need Him to be active. And I think that He expects me to be active in return — to make use of the talents/gifts that He gave to me. These days, I’m trying to figure out what that next chapter looks like for my family and me.

 

Industry insight: Blockchaining to track current and potential employees’ skills — from chieflearningofficer.com by Tanya Boyd

Excerpts:

A learner who is aware of their unique strengths and development needs, as well as their preferred approach for gaining new skills, is often able to find the learning opportunities that they need more effectively and efficiently.

A global language for skills
While we might be tempted to focus within, looking for ways to address our own company’s talent challenges in isolation, this common concern invites a more global solution. We would all be better off if we could build a global language for skills. It’s at least one step toward achieving global processes for evaluating and developing them.

The top three challenges with skills and skill-based practices, as cited by McKinsey’s 2021 state of hiring survey, are: the ability to validate skills, sourcing job seekers with the right skills and scaling this approach.

Having a validated “chain” of skills for an employee helps not only in the selection process, but also as L&D departments seek to personalize learning. Blockchain creates a more valid approach to personalizing learning based on each employee’s competencies and skills gathered across their career, rather than just the skills they are demonstrating in their current organization and role.

 

As Colleges Focus on Quality in Online Learning, Advocates Ask: What About In-Person Courses? — from chronicle.com by Taylor Swaak

Excerpt (emphasis DSC):

As colleges’ online catalogs grow, so too has the push to develop standards of quality for those courses. But are in-person classes getting the same attention?

If you ask many online-education advocates, the answer is “no.” And the solution, many say, is for colleges to adopt standards and policies that set consistent expectations for quality across all courses, whether they’re remote or in a classroom.

While decades of research and the pandemic-spurred expansion of online learning have helped demystify it, and build confidence in its efficacy, these advocates say the misconception lingers that remote education is inherently lower in quality than instruction in the classroom. And that stigma, they say, puts a magnifying glass to online ed, while largely leaving in-person classes to business as usual.

The focus instead, Simunich said, should be on a big-picture question: Is this a high-quality learning experience for students?

From DSC:
These are great points. I find them to have been very true.

Reflections of a College Adjunct After 31 Years — from insidehighered.com by Stephen Werner
We’ve proven over and over that there’s enough work to give many of us full-time positions, writes Stephen Werner, but things are moving in the opposite direction.

Four Pieces of Advice (emphasis DSC)
In closing, I offer the following recommendations:

  • See the big picture. We adjuncts are workers in the gig economy. We are part of the new normal where so many jobs are on-demand, temporary work, with few or no benefits and no long-term security. Even with our M.A.s and Ph.D.s, we have much in common with workers at all levels, including the lowest-skilled workers.
  • Make a serious effort to meet and talk to other adjuncts.
  • Unionize! Organize with your fellow adjuncts! 
  • Start saving for retirement.

The fact is that college and universities are totally dependent on us. They know it. We adjuncts need to act like we know it, too. We need to overcome our isolation and work together to have a voice.

How Mega-Universities Manage to Teach Hundreds of Thousands of Students — from edsurge.com by Robert Ubell (Columnist)

Excerpt:

One key difference at SNHU is how it hires faculty, relying on an academic army of about 8,000 adjuncts who earn $2,000 per semester for teaching an undergrad course and $2,500 for a grad course. Reliance on adjuncts, especially in online instruction, is a national trend. Today, gig faculty occupy about three-quarters of all U.S. college instructors. But Southern New Hampshire and other online operations depend even more on contingent labor than most of their traditional peers.

For colleges to depend entirely on an Uber-style instructional workforce may be financially prudent, but I argue it’s academically risky, with little continuity and no permanent faculty. It’s also exploitative, with instructors ending up in precarious work arrangements without living wages and benefits.

First Person: Why college matters for people serving extreme sentences — from opencampusmedia.org by Rahsaan “New York” Thomas

Excerpt:

For incarcerated people, the quality or success of a college program is often measured by recidivism rates. By that standard, Mount Tamalpais, formerly the Prison University Project, is a success. Its students had a recidivism rate of 17 percent compared to the 65 percent recidivism rate for the California Department of Corrections and Rehabilitation as a whole, according to a 2011 program evaluation.

Personally, I see education as the key to my success from behind bars. After getting sentenced to a term beyond my life expectancy I needed a path to redemption in the eyes of my mother, my sons, and society that didn’t involve going home. I came up with becoming a writer because my voice was the one part of me that was still free.

 

You are not a parrot — from nymag.com by Elizabeth Weil and Emily M. Bender

You Are Not a Parrot. And a chatbot is not a human. And a linguist named Emily M. Bender is very worried what will happen when we forget this.

Excerpts:

A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”

Bender knows she’s no match for a trillion-dollar game changer slouching to life. But she’s out there trying. Others are trying too. LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.

 

From DSC:
I’m told by a reliable source (i.e., our oldest daughter, who is now a third-grade teacher) that Blooket is an effective, highly-engaging tool! She said students find these online-based games to be fun. She said it’s competitive, so you may want to make a note of that as well.

Level up classroom engagement with Blooket -- online-based games that are fun and engaging for younger students

 

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

Quizlet's Q-Chat -- choose a study prompt to be quizzed on the material, to deepen your understanding or to learn through a story.

 
© 2025 | Daniel Christian