The implications of this development are perhaps more significant than we realise. There has been much discussion in recent months about the risks associated with the rise of generative AI for higher education, with most of the discussion centring around the challenge that ChatGPT poses to academic integrity.
However, much less work has been done on exploring the negative – even existential – consequences that might stem from not embracing AI in higher education.Are these new principles enough to reverse the risk of irrelevance?
What if we reimagine “learning” in higher education as something more than the recall and restructuring of existing information? What if instead of lectures, essays and exams we shifted to a model of problem sets, projects and portfolios?
I am often asked what this could look like in practice. If we turn to tried and tested instructional strategies which optimise for learner motivation and mastery, it would look something like this…
Also relevant/see:
Do or Die? — from drphilippahardman.substack.com by Dr. Philippa Hardman The invisible cost of resisting AI in higher education
Excerpt:
Embracing AI in the higher education sector prepares students for the increasingly technology-driven job market and promotes more active, participatory learning experiences which we know lead to better outcomes for both students and employers.
With the rising popularity of alternative education routes such as bootcamps and apprenticeships, it’s crucial for traditional higher education to engage positively with AI in order to maintain its competitiveness and relevance.
DC: Sounds very useful for learning-related items.
“Custom instructions allow you to add preferences or requirements that you’d like ChatGPT to consider when generating its responses.” https://t.co/n0WOJnmDIY
— Daniel Christian (he/him/his) (@dchristian5) July 21, 2023
For example, a teacher crafting a lesson plan no longer has to repeat that they’re teaching 3rd grade science. A developer preferring efficient code in a language that’s not Python – they can say it once, and it’s understood. Grocery shopping for a big family becomes easier, with the model accounting for 6 servings in the grocery list.
Teaching technology There is also the misconception around the word ‘generative’, the assumption that all it does is create blocks of predictable text. Wrong. May of its best uses in learning are its ability to summarise, outline, provide guidance, support and many other pedagogic features that can be built into the software. This works and will mean tutors, teachers, teaching support, not taking support, coaches and many other services will emerge that aid both teaching and learning. They are being developed in their hundreds as we speak.
This simple fact, that this is the first technology to ‘learn’ and learn fast, on scale, continuously, across a range of media and tasks, it what makes it extraordinary.
On holding back the strange AI tide — from oneusefulthing.org by Ethan Mollick There is no way to stop the disruption. We need to channel it instead
And empowering workers is not going to be possible with a top-down solution alone. Instead, consider:
Radical incentives to ensure that workers are willing to share what they learn. If they are worried about being punished, they won’t share. If they are worried they won’t be rewarded, they won’t share. If they are worried that the AI tools that they develop might replace them, or their coworkers, they won’t share. Corporate leaders need to figure out a way to reassure and reward workers, something they are not used to doing.
Empowering user-to-user innovation. Build prompt libraries that help workers develop and share prompts with other people inside the organization. Open up tools broadly to workers to use (while still setting policies around proprietary information), and see what they come up with. Create slack time for workers to develop, and discuss, AI approaches.
Don’t rely on outside providers or your existing R&D groups to tell you the answer. We are in the very early days of a new technology. Nobody really knows anything about the best ways to use AI, and they certainly don’t know the best ways to use it in your company. Only by diving in, responsibly, can you hope to figure out the best use cases.
In recent years, I have witnessed the transformative power of technology in higher education. One particular innovation that has captured my attention is Artificial Intelligence (AI). AI holds tremendous potential as an assistive technology for students with reasonable adjustments in further education (FE) and higher education (HE).
In this comprehensive blog post, I will delve into the multifaceted aspects of AI as an assistive technology, exploring its benefits, considerations, challenges, and the future it holds for transforming higher education.
The integration of AI as an assistive technology can create an inclusive educational environment where all students, regardless of disabilities or specific learning needs, have equal access to educational resources. Real-time transcription services, text-to-speech capabilities, and personalized learning experiences empower students like me to engage with course content in various formats and at our own pace (Fenews, 2023). This not only removes barriers but also fosters a more inclusive and diverse academic community.
What can we do? Here are five considerations I’ll be following this coming fall in response to that nagging “less discussion, more instruction” evaluation.
Courseware Can Be Integral to a Course. Why, Then, Are Students Footing the Bill for It? — from chronicle.com by Taylor Swaak The Homework Tax | For students already struggling to afford college, courseware can add to the burden Their argument is multifold: For one, they say, products like these — which often deliver key elements of a course that an instructor would typically be responsible for, like homework, assessments, and grading — should not be the student’s burden. At least one student advocate said colleges, rather, should cover or subsidize the cost, as they do with software like learning-management systems, if they’re allowing faculty free rein to adopt the products.
…
And the fact that students’ access to these products expires — sometimes after just a semester — rubs salt in the wound, and risks further disadvantaging students. .
Institutions aren’t “letting the wolf into the henhouse”; instead, “we’re letting the hens out into a forest of wolves,” said Billy Meinke, an open educational resources technologist with the Outreach College at the University of Hawaii-Manoa who’s done research on publisher misuse of student data. .
Here are five summer reading challenges to learn about the science of learning.
Important: make sure you remember what you learn! Engage yourself in retrieval practice and retrieve two things after each book, practice guide, and research article you read. Share your two things with our communities on Twitter and Facebook, make a list of what you’ve learned to boost your long-term learning,…
Last week, I explored some ways an instructor might want to (or need to) redesign a reading response assignment for the fall, given the many AI text generation tools now available to students. This week, I want to continue that thread with another assignment makeover. Reading response assignments were just the warm up; now we’re tackling the essay assignment.
First, they need to understand that the technological side of AI can no longer be simply left to the information technology experts. Regardless of the professional domain, understanding what AI is, how it works, how the underlying code and algorithms are designed, and what assumptions lie behind the computer code are important components to being able to use and consume the products of AI tools appropriately.
“…what if generative AI could provide every instructor with a genuine teaching assistant – a teaching assistant that actually assisted instructors with their teaching?”
For my cryptography course, Mollick’s first option would probably mean throwing out all my existing reading questions. My intent with these reading questions was noble, that is, to guide students to the big questions and debates in the field, but those are exactly the kinds of questions for which AI can write decent answers. Maybe the AI tools would fare worse in a more advanced course with very specialized readings, but in my intro to cryptography course, they can handle my existing reading questions with ease.
What about option two? I think one version of this would be to do away with the reading response assignment altogether.
Generative AI imagines new protein structures — from news.mit.edu by Rachel Gordon; resource from Sunday Signal MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
Ready to Sing Elvis Karaoke … as Elvis? The Weird Rise of AI Music — from rollingstone.com by Brian Hiatt; resource from Misha da Vinci From voice-cloning wars to looming copyright disputes to a potential flood of nonhuman music on streaming, AI is already a musical battleground
The most significant problem I’ve seen for aspiring instructional designers is that they don’t have a solid plan in place with how to make acquiring a new job a reality. What does this involve? A monumental portion of instructional design is knowing about how learning works. Yes, there are other components about instructional design like technology, project management, relationship management, research, but at the end of the day, you need to know how people learn to design meaningful learning experiences. So, think of your instructional design journey as a learning experience. How would you reverse engineer this process to help you obtain your goal? Let’s start by asking a few questions:
Cognitive Load Theory is an influential theory from educational psychology that describes how various factors affect our ability to use our working memory resources. We’ve done a digest about cognitive load theory here and talked about it here and here, but haven’t provided an overview of the theory so I want to give an overview here.
…
Cognitive load theory provides useful and dynamic model for how many different factors affect working memory and learning. Hopefully this post provides a useful overview of some of the main components of cognitive load!
Simplify the explanations of what you’re presenting as much as possible and break down complex tasks into smaller parts
Don’t place a large amount of text on a slide and then talk about it at the same time — doing so requires much more processing than most people can deal with.
Consider creating two versions of your PowerPoint files:
A text-light version that can be used for presenting that content to students
A text-heavy version — which can be posted to your LMS for the learners to go through at their own pace — and without trying to process so much information (voice and text, for example) at one time.
Design-wise:
Don’t use decorative graphics — everything on a slide should be there for a reason
Don’t use too many fonts or colors — this can be distracting
Don’t use background music when you are trying to explain something
YouTube is experimenting with AI-generated quizzes on its mobile app for iOS and Android devices, which are designed to help viewers learn more about a subject featured in an educational video. The feature will also help the video-sharing platform get a better understanding of how well each video covers a certain topic.
Since January 2023, I’ve talked with hundreds of instructors at dozens of institutions about how they might incorporate AI into their teaching. Through these conversations, I’ve noticed a few common issues:
Faculty and staff are overwhelmed and burned out. Even those on the cutting edge often feel they’re behind the curve.
It’s hard to know where to begin.
It can be difficult to find practical examples of AI use that are applicable across a variety of disciplines.
To help address these challenges, I’ve been working on a list of AI-infused learning activities that encourage experimentation in (relatively) small, manageable ways.
September 2023: The Secret Intelligent Beings on Campus— from stefanbauschard.substack.com by Stefan Bauschard Many of your students this fall will be enhanced by artificial intelligence, even if they don’t look like actual cyborgs. Do you want all of them to be enhanced, or just the highest SES students?
In the past few months we have been deluged with headlines about new AI tools and how much they are going to change society.
Some reporters have done amazing work holding the companies developing AI accountable, but many struggle to report on this new technology in a fair and accurate way.
We—an investigative reporter, a data journalist, and a computer scientist—have firsthand experience investigating AI. We’ve seen the tremendous potential these tools can have—but also their tremendous risks.
As their adoption grows, we believe that, soon enough, many reporters will encounter AI tools on their beat, so we wanted to put together a short guide to what we have learned.
.
DSC:
Something I created via Adobe Firefly (Beta version)
Does this mean it will do away with the L&D job? Not at all — these tools give you superhuman powers to find content faster, put it in front of employees in a more useful way and more creatively craft character simulations, assessments, learning in the flow of work and more.
And it’s about time. We really haven’t had a massive innovation in L&D since the early days of the learning experience platform market, so we may be entering the most exciting era in a long time.
Let me give you the five most significant use cases I see. And more will come.
As I read online, I bookmark resources I find interesting and useful. I share these links periodically here on my blog. This post includes links on using tech with scenarios: AI, xAPI, and VR. I’ll also share some other AI tools and links on usability, resume tips for teachers, visual language, and a scenario sample.
Microsoft co-founder Bill Gates saying generative AI chatbots can teach kids to read in 18 months rather than years.
Artificial intelligence is beginning to prove that it can accelerate the impact teachers have on students and help solve a stubborn teacher shortage.
Chatbots backed by large language models can help students, from primary education to certification programs, self-guide through voluminous materials and tailor their education to specific learning styles [preferences].
Unfortunately, too often attention is focused on the problems of AI—that it allows students to cheat and can undermine the value of what teachers bring to the learning equation. This viewpoint ignores the immense possibilities that AI can bring to education and across every industry.
The fact is that students have already embraced this new technology, which is neither a new story nor a surprising one in education. Leaders should accept this and understand that people, not robots, must ultimately create the path forward. It is only by deploying resources, training and policies at every level of our institutions that we can begin to realize the vast potential of what AI can offer.
SAIL: State of Research: AI & Education — from buttondown.email by George Siemens Information re: current AI and Learning Labs, education updates, and technology
In this post I’d like to explore that apocalyptic model. For reasons of space, I’ll leave off analyzing student cheating motivations or questioning the entire edifice of grade-based assessment. I’ll save potential solutions for another post.
Let’s dive into the practical aspects of teaching to see why Mollick and Bogost foresee such a dire semester ahead.
I put together an initial prompt to set up Code Interpreter to create useful data visualizations. It gives it some basic principles of good chart design & also reminds it that it can output many kinds of files.
Code Interpreter continues OpenAI’s long tradition of giving terrible names to things, because it might be most useful for those who do not code at all. It essentially allows the most advanced AI available, GPT-4, to upload and download information, and to write and execute programs for you in a persistent workspace. That allows the AI to do all sorts of things it couldn’t do before, and be useful in ways that were impossible with ChatGPT.
.
BREAKING: Code Interpreter is FINALLY rolling out to all ChatGPT Plus users.
It’s the most powerful feature OpenAI has released since GPT-4. It makes everyone a data analyst.
The Homework Apocalypse — from oneusefulthing.org by Ethan Mollick Fall is going to be very different this year. Educators need to be ready.
Excerpt:
Students will cheat with AI. But they also will begin to integrate AI into everything they do, raising new questions for educators. Students will want to understand why they are doing assignments that seem obsolete thanks to AI. They will want to use AI as a learning companion, a co-author, or a teammate. They will want to accomplish more than they did before, and also want answers about what AI means for their future learning paths. Schools will need to decide how to respond to this flood of questions.
The challenge of AI in education can feel abstract, so to understand a bit more about what is going to happen, I wanted to examine some common assignment types.
After a successful career as a recording artist, David “TC” Ellis created Studio 4 in St. Paul to spot budding music stars.
It became a hangout spot for creative young people, most of whom had “dropped out of school due to boredom and a sense that school wasn’t relevant to their lives and dreams.”
Ellis and colleagues then opened the High School for Recording Arts in 1998.
Post-AI Assessment Design — from drphilippahardman.substack.com by Dr. Philippa Hardman A simple, three-step guide on how to design assessments in a post-AI world
Excerpt:
Step 1: Write Inquiry-Based Objectives
Inquiry-based objectives focus not just on the acquisition of knowledge but also on the development of skills and behaviours, like critical thinking, problem-solving, collaboration and research skills.
They do this by requiring learners not just to recall or “describe back” concepts that are delivered via text, lecture or video. Instead, inquiry-based objectives require learners to construct their own understanding through the process of investigation, analysis and questioning.
Just for a minute, consider how education would change if the following were true –
AIs “hallucinated” less than humans
AIs could write in our own voices
AIs could accurately do math
AIs understood the unique academic (and eventually developmental) needs of each student and adapt instruction to that student
AIs could teach anything any student wanted or need to know any time of day or night
AIs could do this at a fraction of the cost of a human teacher or professor
Fall 2026 is three years away. Do you have a three year plan? Perhaps you should scrap it and write a new one (or at least realize that your current one cannot survive). If you run an academic institution in 2026 the same way you ran it in 2022, you might as well run it like you would have in 1920. If you run an academic institution in 2030 (or any year when AI surpasses human intelligence) the same way you ran it in 2022, you might as well run it like you would have in 1820. AIs will become more intelligent than us, perhaps in 10-20 years (LeCun), though there could be unanticipated breakthroughs that lower the time frame to a few years or less (Benjio); it’s just a question of when, not “if.”
On one creative use of AI — from aiandacademia.substack.com by Bryan Alexander A new practice with pedagogical possibilities
Excerpt:
Look at those material items again. The voiceover? Written by an AI and turned into audio by software. The images? Created by human prompts in Midjourney. The music is, I think, human created. And the idea came from a discussion between a human and an AI?
…
How might this play out in a college or university class?
Imagine assignments which require students to craft such a video. Start from film, media studies, or computer science classes. Students work through a process:
I continue to try to imagine ways generative AI can impact teaching and learning, including learning materials like textbooks. Earlier this week I started wondering – what if, in the future, educators didn’t write textbooks at all? What if, instead, we only wrote structured collections of highly crafted prompts? Instead of reading a static textbook in a linear fashion, the learner would use the prompts to interact with a large language model.These prompts could help learners ask for things like:
overviews and in-depth explanations of specific topics in a specific sequence,
examples that the learner finds personally relevant and interesting,
interactive practice – including open-ended exercises – with immediate, corrective feedback,
the structure of the relationships between ideas and concepts,
Designed for K12 and Higher-Ed Educators & Administrators, this conference aims to provide a platform for educators, administrators, AI experts, students, parents, and EdTech leaders to discuss the impact of AI on education, address current challenges and potentials, share their perspectives and experiences, and explore innovative solutions. A special emphasis will be placed on including students’ voices in the conversation, highlighting their unique experiences and insights as the primary beneficiaries of these educational transformations.
The use of generative AI in K-12 settings is complex and still in its infancy. We need to consider how these tools can enhance student creativity, improve writing skills, and be transparent with students about how generative AI works so they can better understand its limitations. As with any new tech, our students will be exposed to it, and it is our task as educators to help them navigate this new territory as well-informed, curious explorers.
The education ministry has emphasized the need for students to understand artificial intelligence in new guidelines released Tuesday, setting out how generative AI can be integrated into schools and the precautions needed to address associated risks.
Students should comprehend the characteristics of AI, including its advantages and disadvantages, with the latter including personal information leakages and copyright infringement, before they use it, according to the guidelines. They explicitly state that passing off reports, essays or any other works produced by AI as one’s own is inappropriate.
Thanks to the rapid development of artificial intelligence tools like Dall-E and ChatGPT, my brother-in-law has been wrestling with low-level anxiety: Is it a good idea to steer his son down this path when AI threatens to devalue the work of creatives? Will there be a job for someone with that skill set in 10 years? He’s unsure. But instead of burying his head in the sand, he’s doing what any tech-savvy parent would do: He’s teaching his son how to use AI.
In recent months the family has picked up subscriptions to AI services. Now, in addition to drawing and sculpting and making movies and video games, my nephew is creating the monsters of his dreams with Midjourney, a generative AI tool that uses language prompts to produce images.
To bridge this knowledge gap, I decided to make a quick little dictionary of AI terms specifically tailored for educators worldwide. Initially created for my own benefit, I’ve reworked my own AI Dictionary for Educators and expanded it to help my fellow teachers embrace the advancements AI brings to education.
So, it sounds like if there’s a learning goal that a parent has in mind, the way to do that is to engage in guided play versus setting a kid free to just do what they would like? Yeah, definitely. So free play is fundamental to anyone’s life, right? We know that it can help social emotional development, physical development, and executive function development. It’s really important. But research is finding when there’s a learning goal, that guided play yields the best results for that. The reason why guided play is so effective is because it reflects these key characteristics of decades and decades of research of how we know how human brains learn best. We know that we learn best when we’re active, not passive, engaged, not distracted, when it’s meaningful, when it’s connected to what matters what we already know. When it’s iterative, so children can test and try out different ideas, and when they’re interacting socially with others, and when they’re joyful. And so that’s part of why guided play is so powerful.
Generative AI has taken the world by storm since OpenAI launched ChatGPT-3 in November 2022. Generative AI is characterized by its capacity to generate human-like content based on deep learning models in response to prompts. There is a wealth of opinions about how this will impact higher education spanning from the need to limit the use in the protection of higher education to embracing the tool as a means to improve higher education. In this webinar session, speakers from different regions shared their views and perspectives and discuss how Generative AI will transform higher education. What are the challenges to be addressed and which opportunities can be pursued to improve the quality of higher education? Watch the webinar and learn about the uncertainties, tensions, and opportunities triggered by Generative AI.
Trust and Transparency Are Key Factors When Using AI in Academia — from by Dr. Andrew Lang Much can be learned from embracing artificial intelligence in the teaching and learning process. Here, two professors share their experiences using ChatGPT freely in the classroom.
The AI-Education Divide— from drphilippahardman.substack.com by Philippa Hardman How the rise of AI has reinforced inequity in education (and what we need to do to reverse it) .
Merlyn Mind, an AI-powered digital assistant platform, announced the launch of a suite of large language models (LLMs) specifically tailored for the education sector under an open-source license.
Designing courses in an age of AI— from teachinginhighered.com by Maria Andersen Maria Andersen shares about designing courses in an age of artificial intelligence (AI) on episode 469 of the Teaching in Higher Ed podcast.
With generative AI, we have an incredible acceleration of change happening.
Their most recognisable role is to partner with faculty and provide them with inspiration, expertise and support in their teaching. But a broader role is emerging at institutional level- helping create a culture where people value talking about teaching and more generally, fostering a culture of continuous learning. In this respect, CTLs act as agents of change, aiming to influence the organizational (learning) environment.
…
CTLs are part of an ecosystem, internally and externally, and they have the potential to play a very important role, that of a network node. Internally, this can mean connecting various silos within the university, a much needed task, while externally it implies establishing collaboration flows with other CTLs that can in turn lead to broader inter-university collaboration. Making use of the full potential of this role can make a big difference for the success of a CTL.
Speaking of Teaching & Learning Centers, also see:
7 Questions on Engaging Faculty in Digital Accessibility — from campustechnology.com by Rhea Kelly We asked the Technical College System of Georgia’s accessibility champions how they help instructors create a more inclusive learning experience for all students.
Higher ed may appear less impacted on the surface. But a small yet critical cohort of students and families has been heavily affected – students and parents who take out private student loans. Private student loans are a small piece of the overall student loan puzzle, representing roughly 8% of outstanding student debt (~$146.9 billion) according to a March 2023 analysis from Federal Student Aid.
… Private student loans have gotten way more expensive With that context in mind, it’s worth analyzing how the rise in interest rates has impacted borrowing costs for families. The numbers are staggering. As the Fed has hiked interest rates, private loan borrowing costs have more than doubled since November of 2021. The average interest rate on a 10-year private student loan has jumped from a low of 3.3% in November 2021 to 7% at the end of May 2023. Interest rates for 5-year private loans have skyrocketed even faster, jumping from a low of 2.4% all the way to 8.70% across the same period. .
Tuesday, June 6, 2023 – Far too often, individuals in higher education don’t understand the nuances of how accreditors operate and the role they play in supporting—or constraining—institutions. Jeff and Michael welcome Barbara Brittingham, former president of the New England Commission on Higher Education, to give the history of accreditation, break down how accrediting agencies operate, show how they compare to one another, and delve into how they might evolve in the future with an eye toward how these organizations impact institutional transformation and support learners in achieving their education and career goals. This episode is made possible with support from Ascendium Education Group, the Bill & Melinda Gates Foundation, and Course Hero. .
On today’s episode of the Illumination by Modern Campus podcast, host Amrit Ahluwalia was joined by Rich Novak to evaluate the changes in higher education over the past decade, and the opportunities ahead for continuing education. .
Partnering With Higher Education I believe that companies can gain a competitive edge in hiring and retention by establishing long-term partnerships with educators, universities and other pedagogically-driven institutions. However, it is crucial to design these partnerships with scale and replication in mind in order to avoid high costs and low adoption rates that can result in failure.
Establishing a successful partnership will also require companies and universities to determine and agree on the skill-based outcomes they aim to achieve. They will have to find effective ways to share data, develop timelines and measure success for both parties.
This is a shift from traditional partnerships, which often focus on research and innovation initiatives. With this, intellectual property was the outcome of the collaboration. Instead, in a reskilling partnership, in-demand skills are the outcome. .
EDUCAUSE and WCET QuickPoll Results: Current Trends in Microcredential Design and Delivery — from er.educause.edu by Jenay Robert Microcredentialing programs remain nascent at many institutions, but interest continues to grow. As the demand for flexible learning experiences increases, stakeholders might find renewed interest in and uses for microcredentials.
