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) .
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.
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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.
— Daniel Christian (he/him/his) (@dchristian5) June 23, 2023
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On giving AI eyes and ears— from oneusefulthing.org by Ethan Mollick AI can listen and see, with bigger implications than we might realize.
Excerpt:
But even this is just the beginning, and new modes of using AI are appearing, which further increases their capabilities. I want to show you some examples of this emerging world, which I think will soon introduce a new wave of AI use cases, and accompanying disruption.
We need to recognize that these capabilities will continue to grow, and AI will be able to play a more active role in the real world by observing and listening. The implications are likely to be profound, and we should start thinking through both the huge benefits and major concerns today.
Even though generative AI is a new thing, it doesn’t change why students cheat. They’ve always cheated for the same reason: They don’t find the work meaningful, and they don’t think they can achieve it to their satisfaction. So we need to design assessments that students find meaning in.
Tricia Bertram Gallant
Caught off guard by AI— from chonicle.com by Beth McMurtrie and Beckie Supiano Professor scrambled to react to ChatGPT this spring — and started planning for the fall
Excerpt:
Is it cheating to use AI to brainstorm, or should that distinction be reserved for writing that you pretend is yours? Should AI be banned from the classroom, or is that irresponsible, given how quickly it is seeping into everyday life? Should a student caught cheating with AI be punished because they passed work off as their own, or given a second chance, especially if different professors have different rules and students aren’t always sure what use is appropriate?
…OpenAI built tool use right into the GPT API with an update called function calling. It’s a little like a child’s ability to ask their parents to help them with a task that they know they can’t do on their own. Except in this case, instead of parents, GPT can call out to external code, databases, or other APIs when it needs to.
Each function in function calling represents a tool that a GPT model can use when necessary, and GPT gets to decide which ones it wants to use and when. This instantly upgrades GPT capabilities—not because it can now do every task perfectly—but because it now knows how to ask for what it wants and get it. .
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How ChatGPT can help disrupt assessment overload— from timeshighereducation.com by David Carless Advances in AI are not necessarily the enemy – in fact, they should prompt long overdue consideration of assessment types and frequency, says David Carless
Excerpt:
Reducing the assessment burden could support trust in students as individuals wanting to produce worthwhile, original work. Indeed, students can be co-opted as partners in designing their own assessment tasks, so they can produce something meaningful to them.
A strategic reduction in quantity of assessment would also facilitate a refocusing of assessment priorities on deep understanding more than just performance and carries potential to enhance feedback processes.
If we were to tackle assessment overload in these ways, it opens up various possibilities. Most significantly there is potential to revitalise feedback so that it becomes a core part of a learning cycle rather than an adjunct at its end. End-of-semester, product-oriented feedback, which comes after grades have already been awarded, fails to encourage the iterative loops and spirals typical of productive learning. .
Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day.This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.
These claims conjure up the rosiest of images: human resource departments and their robot buddies solving discrimination in workplace hiring. It seems plausible, in theory, that AI could root out unconscious bias, but a growing body of research shows the opposite may be more likely.
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Companies’ use of AI didn’t come out of nowhere: For example, automated applicant tracking systems have been used in hiring for decades. That means if you’ve applied for a job, your resume and cover letter were likely scanned by an automated system. You probably heard from a chatbot at some point in the process. Your interview might have been automatically scheduled and later even assessed by AI.
From DSC:
Here was my reflection on this:
DC: Along these lines, I wonder if Applicant Tracking Systems cause us to become like typecast actors and actresses — only thought of for certain roles. Pigeonholed.
— Daniel Christian (he/him/his) (@dchristian5) June 23, 2023
In June, ResumeBuilder.com surveyed more than 1,000 employees who are involved in hiring processes at their workplaces to find out about their companies’ use of AI interviews.
The results:
43% of companies already have or plan to adopt AI interviews by 2024
Two-thirds of this group believe AI interviews will increase hiring efficiency
15% say that AI will be used to make decisions on candidates without any human input
More than half believe AI will eventually replace human hiring managers
Watch OpenAI CEO Sam Altman on the Future of AI — from bloomberg.com Sam Altman, CEO & Co-Founder, OpenAI discusses the explosive rise of OpenAI and its products and what an AI-laced future can look like with Bloomberg’s Emily Chang at the Bloomberg Technology Summit.
The implementation of generative AI within these products will dramatically improve educators’ ability to deliver personalized learning to students at scale by enabling the application of personalized assessments and learning pathways based on individual student needs and learning goals. K-12 educators will also benefit from access to OpenAI technology…
Since 2012, 65 private colleges and universities with enrollment of 500 students or more, that I know of, have reduced their tuition, and commensurately reduced their discount rate. Several more schools are planning price resets for fall 2024. Schools use this strategy to increase the number of students who will consider them, and this approach has been successful for more than 80 percent of the schools which have reduced their published price.
From DSC: What I learned of economics in college would agree with this last bit. As the price goes down, demand goes up. And conversely, as the price goes up, demand goes down. As Lucie points out, many people don’t know about the heavily discounted prices within higher education. I’ve been fighting for price decreases for over 15 years…clearly, I haven’t had much success in that area.
AI-assisted cheating isn’t a temptation if students have a reason to care about their own learning.
Yesterday I happened to listen to two different podcasts that ended up resonating with one another and with an idea that’s been rattling around inside my head with all of this moral uproar about generative AI:
** If we trust students – and earn their trust in return – then they will be far less motivated to cheat with AI or in any other way. **
First, the question of motivation. On the Intentional Teaching podcast, while interviewing James Lang and Michelle Miller on the impact of generative AI, Derek Bruff points out (drawing on Lang’s Cheating Lessons book) that if students have “real motivation to get some meaning out of [an] activity, then there’s far less motivation to just have ChatGPT write it for them.” Real motivation and real meaning FOR THE STUDENT translates into an investment in doing the work themselves.
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Then I hopped over to one of my favorite podcasts – Teaching in Higher Ed – where Bonni Stachowiak was interviewing Cate Denial about a “pedagogy of kindness,” which is predicated on trusting students and not seeing them as adversaries in the work we’re doing.
So the second key element: being kind and trusting students, which builds a culture of mutual respect and care that again diminishes the likelihood that they will cheat.
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Again, human-centered learning design seems to address so many of the concerns and challenges of the current moment in higher ed. Maybe it’s time to actually practice it more consistently. #aiineducation #higheredteaching #inclusiveteaching
How liberal arts colleges can make career services a priority — from highereddive.com by John Boyer Creating internships and focusing on short-term experiences has a big impact, the longtime undergraduate dean at the University of Chicago says.
TI-ADDIE: A Trauma-Informed Model of Instructional Design — from er.educause.edu by Ali Carr-Chellman and Treavor Bogard Adjusting the ADDIE model of instructional design specifically to accommodate trauma offers an opportunity to address the collective challenges that designers, instructors, and learners have faced during the current learning moment.
Ernst and Young dug a little deeper. “Today’s disruptive working landscape requires organisations to largely restructure the way they are doing work,” they noted in a bulletin in March this year. “Time now spent on tasks will be equally divided between people and machines. For these reasons, workforce roles will change and so do the skills needed to perform them.”
The World Economic Forum has pointed to this global skills gap and estimates that, while 85 million jobs will be displaced, 50% of all employees will need reskilling and/or upskilling by 2025. This, it almost goes without saying, will require Learning and Development departments to do the heavy-lifting in this initial transformational phase but also in an on-going capacity.
“And that’s the big problem,” says Hardman. “2025 is only two and half years away and the three pillars of L&D – knowledge transference, knowledge reinforcement and knowledge assessment – are crumbling. They have been unchanged for decades and are now, faced by revolutionary change, no longer fit for purpose.”
ChatGPT is the shakeup education needs— from eschoolnews.com by Joshua Sine As technology evolves, industries must evolve alongside it, and education is no exception–especially when students heavily and regularly rely on edtech
Key points:
Education must evolve along with technology–students will expect it
Embracing new technologies helps education leverage adaptive technology that engage student interest
Changed by Our Journey: Engaging Students through Simulive Learning — from er.educause.edu by Lisa Lenze and Megan Costello In this article, an instructor explains how she took an alternative approach to teaching—simulive learning—and discusses the benefits that have extended to her in-person classrooms.
Excerpts:
Mustering courage, Costello devised a novel way to (1) share the course at times other than when it was regularly scheduled and (2) fully engage with her students in the chat channel during the scheduled class meeting time. Her solution, which she calls simulive learning, required her to record her lectures and watch them with her students. (Courageous, indeed!)
Below, Costello and I discuss what simulive learning looks like, how it works, and how Costello has taken her version of remote synchronous teaching forward into current semesters.
Megan Costello: I took a different approach to remote synchronous online learning at the start of the pandemic. Instead of using traditional videoconferencing software to hold class, I prerecorded, edited, and uploaded videos of my lectures to a streaming website. This website allowed me to specify a time and date to broadcast my lectures to my students. Because the lectures were already prepared, I could watch and participate in the chat with my students as we encountered the materials together during the scheduled class time. I drove conversations in chat, asked questions, and got students engaged as we covered materials for the day. The students had my full attention.
Professors Plan Summer AI Upskilling, With or Without Support — from insidehighered.com by Susan D’Agostino Academics seeking respite from the fire hose of AI information and hot takes launch summer workshops. But many of the grass-roots efforts fall short of meeting demand.
Excerpt:
In these summer faculty AI workshops, some plan to take their first tentative steps in redesigning assignments to recognize the AI-infused landscape. Others expect to evolve their in-progress teaching-with-AI practices. At some colleges, full-time staff will deliver the workshops or pay participants for professional development time. But some offerings are grassroots efforts delivered by faculty volunteers attended by participants on their own time. Even so, many worry that the efforts will fall short of meeting demand.
From DSC: We aren’t used to this pace of change. It will take time for faculty members — as well as Instructional Designers, Instructional Technologists, Faculty Developers, Learning Experience Designers, Librarians, and others — to learn more about AI and its implications for teaching and learning. Faculty are learning. Staff are learning. Students are learning. Grace is needed. And faculty/staff modeling what it is to learn themselves is a good thing for students to see as well.
This can be done first and foremost through collaboration, bringing more people at the table, in a meaningful workflow, whereby they can make the best use of their expertise. Moreover, we need to take a step back and keep the big picture in mind, if we want to provide our students with a valuable experience.
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This is all about creating and nurturing partnerships. Thinking in an inclusive way about who is at the table when we design our courses and our programmes and who we are currently missing. Generally speaking, the main actors involved should be: teaching staff, learning design professionals (under all their various names) and students. Yes, students. Although we are designing for their learning, they are all too often not part of the process.
In order to yield results, collaborative practice needs to be embedded in the institutional fabric, and this takes time. Building silos happens fast, breaking them is a long term process. Creating a culture of dialogue, with clear and replicable processes is key to making collaborative learning design work.
From DSC: To me, Alexandra is addressing the topic of using teams to design, develop, and teach/offer courses. This is where a variety of skills and specialties can come together to produce an excellent learning experience. No one individual has all of the necessary skills — nor the necessary time. No way.
For the purpose of this article I want to look at learning design in a more holistic way, as a practice that takes place at institutional level. Because we are actually not designing the learning, we are designing for learning. It’s all about an ecosystem with many variable components, including people, institutions, pedagogy, disciplinary content, technology. Some of them more controllable or predictable, some of them less so. So learning design is (should be!) all about being adaptive, iterative, empathic, but also efficient, sustainable (from different points of view, I will come back to that later), scalable.
May 21, 2023 It’s officially the season of caps, gowns, and stoles—and new grads are gearing up for entry into the world of work at a time when organizations are undergoing massive shifts. “The shifts include complex questions about how to organize for speed to shore up resilience, find the right balance between in-person and remote work models, address employees’ declining mental health, and build new institutional capabilities at a time of rapid technological change, among others,” write Patrick Guggenberger, Dana Maor, Michael Park, and Patrick Simon in a new report. These changes have significant implications for structures, processes, and people. How can new grads set themselves up for success in a quickly evolving environment? If you’re a soon-to-be new grad or know one, check out our newly refreshed special collection for insights and interviews on topics including productivity, hybrid work models, worker preferences, tech trends, and much more.
On a somewhat relevant posting (it has to do with career development as well), also see:
From Basic to Brand: How to Build and Use a Purposeful LinkedIn Profile — from er.educause.edu by Ryan MacTaggart and Laurie Burruss Developing a professional brand helps higher education professionals establish meaningful work-related connections and build credibility in their area of expertise.
Trend No. 3: The business model faces a full-scale transformation — from www2.deloitte.com by Cole Clark, Megan Cluver, and Jeffrey J. Selingo The traditional business model of higher education is broken as institutions can no longer rely on rising tuition among traditional students as the primary driver of revenue.
Excerpt:
Yet the opportunities for colleges and universities that shift their business model to a more student-centric one, serving the needs of a wider diversity of learners at different stages of their lives and careers, are immense. Politicians and policymakers are looking for solutions to the demographic cliff facing the workforce and the need to upskill and reskill generations of workers in an economy where the half-life of skills is shrinking. This intersection of needs—higher education needs students; the economy needs skilled workers—means that colleges and universities, if they execute on the right set of strategies, could play a critical role in developing the workforce of the future. For many colleges, this shift will require a significant rethinking of mission and structure as many institutions weren’t designed for workforce development and many faculty don’t believe it’s their job to get students a job. But if a set of institutions prove successful on this front, they could in the process improve the public perception of higher education, potentially leading to more political and financial support for growing this evolving business model in the future.
Also see:
Trend No. 2: The value of the degree undergoes further questioning — from www2.deloitte.com by Cole Clark, Megan Cluver, and Jeffrey J. Selingo The perceived value of higher education has fallen as the skills needed to keep up in a job constantly change and learners have better consumer information on outcomes.
Excerpt:
Higher education has yet to come to grips with the trade-offs that students and their families are increasingly weighing with regard to obtaining a four-year degree.
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But the problem facing the vast majority of colleges and universities is that they are no longer perceived to be the best source for the skills employers are seeking. This is especially the case as traditional degrees are increasingly competing with a rising tide of microcredentials, industry-based certificates, and well-paying jobs that don’t require a four-year degree.
Trend No. 1: College enrollment reaches its peak — from www2.deloitte.com by Cole Clark, Megan Cluver, and Jeffrey J. Selingo
Enrollment rates in higher education have been declining in the United States over the years as other countries catch up.
Excerpt:
Higher education in the United States has only known growth for generations. But enrollment of traditional students has been falling for more than a decade, especially among men, putting pressure both on the enrollment pipeline and on the work ecosystem it feeds. Now the sector faces increased headwinds as other countries catch up with the aggregate number of college-educated adults, with China and India expected to surpass the United States as the front runners in educated populations within the next decade or so.
Also related to higher education, see the following items:
Number of Colleges in Distress Is Up 70% From 2012 — from bloomberg.com by Nic Querolo (behind firewall) More schools see falling enrollement and tuition revenue | Small private, public colleges most at risk, report show
Based on a survey of college students over the last three semesters, students understand that remotely attending a lecture via remote synchronous technology is less effective for them than attending in person, but they highly value the flexibility of this option of attending when they need it.
As the Level Up coalition reports ,“the vast majority — 80% — of Black Americans believe that college is unaffordable.” This is not surprising given that Black families have fewer assets to pay for college and, as a result, incur significantly more student loan debt than their white or Latino peers. This is true even at the community college level. Only one-third of Black students are able to earn an associate degree without incurring debt.
Less than 30 percent of college graduates are working in a career closely related to their major, and the average worker has 12 jobs in their lifetime. That means, he says, that undergraduates must learn to be nimble and must build transferable skills. Why can’t those skills and ways of thinking be built into general education?
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“Anyone paying attention to the nonacademic job market,” he writes, “will know that skills, rather than specific majors, are the predominant currency.”
Positive Partnership: Creating Equity in Gateway Course Success— from insidehighered.com by Ashley Mowreader The Gardner Institute’s Courses and Curricula in Urban Ecosystems initiative works alongside institutions to improve success in general education courses.
The main takeaway is that our view of higher education’s value is souring. Fewer of us see post-secondary learning as worth the cost, and now a majority think college and university degrees are no longer worth it: “56% of Americans think earning a four-year degree is a bad bet compared with 42% who retain faith in the credential.”
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Again, this is all about one question in one poll with a small n. But it points to directions higher ed and its national setting are headed in, and we should think hard about how to respond.
Colleges Race to Hire and Build Amid AI ‘Gold Rush’— from insidehighered.com Susan D’Agostino Cue the bulldozers to make room for hordes of new AI faculty. But computer scientists willing to teach are in short supply, and innovation’s trajectory is rarely predictable.
Excerpt (emphasis DSC):
The University at Albany, part of the State University of New York, will hire 27 new faculty members—all specializing in AI—in the largest cluster hire in the institution’s history. Purdue University will recruit50 new AI faculty. Emory University will hire between 60 and 75 new faculty members, including an endowed chair, for its AI Humanity Initiative.
When it comes to artificial intelligence, some universities are going big—very big. The University of Southern California has invested more than $1 billion in its AI initiative that will include90 new faculty members, a new seven-story building and a new school.
From DSC: Time will tell whether colleges and universities will be able to find and hire these folks. My guess? For the most part, no they won’t.
Such talent will likely go to deep-pocketed players, startups, and/or new alternatives to institutions of traditional higher education. The disparate salary levels, risk-averse nature, and overall culture of higher education may not be attractive to some of these individuals. Plus, the future of higher education is not looking as solid.
There’s a remarkable disconnect between how professors and administrators think students use generative AI on written work and how we actually use it. Many assume that if an essay is written with the help of ChatGPT, there will be some sort of evidence — it will have a distinctive “voice,” it won’t make very complex arguments, or it will be written in a way that AI-detection programs will pick up on. Those are dangerous misconceptions. In reality, it’s very easy to use AI to do the lion’s share of the thinking while still submitting work that looks like your own.
The common fear among teachers is that AI is actually writing our essays for us, but that isn’t what happens. You can hand ChatGPT a prompt and ask it for a finished product, but you’ll probably get an essay with a very general claim, middle-school-level sentence structure, and half as many words as you wanted. The more effective, and increasingly popular, strategy is to have the AI walk you through the writing process step by step.
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From DSC: The idea of personalized storytelling is highly intriguing to me. If you write a story for someone with their name and character in it, they will likely be even more engaged with the story/content. Our daughter recently did this with a substitute teacher, who she really wanted to thank before she left (for another assignment at another school). I thought it was very creative of her.
We’re building resources to teach AI literacies for high school and college instructors and assembling them into a full curriculum that will be deployed in a course with the National Educational Equity Lab offered in Fall 2023. .
AI video is getting insanely powerful.
Soon, you’ll be able to create a Hollywood-grade movie from your pocket.
Here’s the most breathtaking AI-generated videos I’ve seen:
— The AI Solopreneur (@aisolopreneur) May 11, 2023
ChatGPT has changed the world.
It does lack in some areas, but my favorite use case is leveraging it to teach me things twice as fast.
Here are the 10 best prompts to learn anything faster:
Why I’m Excited About ChatGPT— from insidehighered.com by Jennie Young Here are 10 ways ChatGPT will be a boon to first-year writing instruction, Jennie Young writes.
Excerpt:
But from my perspective as a first-year writing program director, I’m excited about how this emerging technology will help students from all kinds of educational backgrounds learn and focus on higher-order thinking skills faster. Here are 10 reasons I’m excited about ChatGPT.
? stfu and take my money
This is the most impressive campaign I’ve seen from a mega brand so far using AI & StableDiffusion.
edX Debuts Two AI-Powered Learning Assistants Built on ChatGPT — from press.edx.org; with thanks to Matthew Tower for this resource edX plugin launches in ChatGPT plugin store to give users access to content and course discovery edX Xpert delivers AI-powered learning and customer support within the edX platform
Excerpt:
LANHAM, Md. – May 12, 2023 – edX, a leading global online learning platform from 2U, Inc. (Nasdaq: TWOU), today announced the debut of two AI-powered innovations: the new edX plugin for ChatGPT and edX Xpert, an AI-powered learning assistant on the edX platform. Both tools leverage the technology of AI research and deployment company OpenAI to deliver real-time academic support and course discovery to help learners achieve their goals.
EdSurge connected with Talbert to hear what he uses in his classes now, and why he argues that reforming how grading works is key to increasing student engagement.
AI-assisted cheating isn’t a temptation if students have a reason to care about their own learning.
Yesterday I happened to listen to two different podcasts that ended up resonating with one another and with an idea that’s been rattling around inside my head with all of this moral uproar about generative AI:
** If we trust students – and earn their trust in return – then they will be far less motivated to cheat with AI or in any other way. **
First, the question of motivation. On the Intentional Teaching podcast, while interviewing James Lang and Michelle Miller on the impact of generative AI, Derek Bruff points out (drawing on Lang’s Cheating Lessons book) that if students have “real motivation to get some meaning out of [an] activity, then there’s far less motivation to just have ChatGPT write it for them.” Real motivation and real meaning FOR THE STUDENT translates into an investment in doing the work themselves.
…
Then I hopped over to one of my favorite podcasts – Teaching in Higher Ed – where Bonni Stachowiak was interviewing Cate Denial about a “pedagogy of kindness,” which is predicated on trusting students and not seeing them as adversaries in the work we’re doing.
So the second key element: being kind and trusting students, which builds a culture of mutual respect and care that again diminishes the likelihood that they will cheat.
…
Again, human-centered learning design seems to address so many of the concerns and challenges of the current moment in higher ed. Maybe it’s time to actually practice it more consistently. #aiineducation #higheredteaching #inclusiveteaching