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.
— 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…
After chronicling 160+ AI tools (which is surely only a small fraction of the total), we’re seeing a few clear patterns among the tools that have come out so far- here are 10 categories that are jumping out!
“I don’t usually get worked up about announcements but I see promise in JFF’s plans for a new Center for Artificial Intelligence & the Future of Work, in no small part because the organization bridges higher ed, K-12 education, employers, and policymakers.”
BOSTON June 14, 2023 —Jobs for the Future (JFF), a national nonprofit that drives transformation in the U.S. education and workforce systems, today announced the launch of its new Center for Artificial Intelligence &the Future of Work. This center will play an integral role in JFF’s mission and newly announced 10-year North Star goal to help 75 million people facing systemic barriers to advancement work in quality jobs. As AI’s explosive growth reshapes every aspect of how we learn, work, and live, this new center will serve as a nexus of collaboration among stakeholders from every part of the education-to-career ecosystem to explore the most promising opportunities—and profound challenges—of AI’s potential to advance an accessible and equitable future of learning and work.
OpenAI Considers ‘App Store’ For ChatGPT — from searchenginejournal.com by; with thanks to Barsee at AI Valley for this resource OpenAI explores launching an ‘app store’ for AI models, potentially challenging current partners and expanding customer reach.
Highlights:
OpenAI considers launching an ‘app store’ for customized AI chatbots.
This move could create competition with current partners and extend OpenAI’s customer reach.
Early interest from companies like Aquant and Khan Academy shows potential, but product development and market positioning challenges remain.
The rise of artificial intelligence, especially generative AI, boosts productivity in content creation–text, code, images and increasingly video.
Here are six preliminary conclusions about the nature of work and learning.
Wonder Tools: AI to try— from wondertools.substack.com by Jeremy Caplan 9 playful little ways to explore AI
Excerpt:
Create a personalized children’s story ? | Schrodi Collaborate with AI on a free customized, illustrated story for someone special. Give your story’s hero a name, pick a genre (e.g. comedy, thriller), choose an illustration style (e.g. watercolor, 3d animation) and provide a prompt to shape a simple story. You can even suggest a moral. After a minute, download a full-color PDF to share. Or print it and read your new mini picture book aloud.
Generate a quiz ? | Piggy Put in a link, a topic, or some text and you’ll get a quiz you can share, featuring multiple-choice or true-false questions. Example: try this quick entrepreneurship quiz Piggy generated for me.
Q: How will generative AI impact teaching and learning in the near and long term?
Baker Stein: One-on-one tutoring at scale is finally being unlocked for learners around the world. This type of quality education is no longer only available to students with the means to hire a private tutor.I’m also particularly excited to see how educators make use of generative AI tools to create courses much faster and likely at a higher quality with increased personalization for each student or even by experimenting with new technologies like extended reality. Professors will be able to put their time toward high-impact activities like mentoring, researching and office hours instead of tedious course-creation tasks. This helps open up the capacity for educators to iterate on their courses faster to keep pace with industry and global changes that may impact their field of study.
Another important use case is how generative AI can serve as a great equalizer for students when it comes to writing, especially second language learners.
Shocking, But Not Shocking — from onedtech.beehiiv.com by Phil Hill Wiley announces plans to sell its OPM business
Excerpt:
Just under three months ago Pearson, one of the “Big Four” of in the Online Program Management (OPM) space, announced the sale of its OPM business. Today, another of the four is also getting out of the business (the others are Wiley, 2U/edX, and Academic Partnerships).
… Why the Sale?
The immediate issue from an OPM perspective is that Wiley University Services has been losing revenue with no signs of returning to growth.
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.
…
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
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.
From DSC: Dr. Nino makes several solid points in this article. The article won’t let me copy/paste some excerpts for you, but I would encourage you to look at it.
I would add a few things:
The huge advantage of online-based learning is that a significant amount of learning-related data is automatically captured and doesn’t need to be manually entered (if such manually entered data ever does get entered…which most of it doesn’t).
Learners have much more control over the pacing within the digital realm — i.e., which media they want to use as well as stopping/fast-forwarding/rewinding certain kinds of media.
Most people are now required to be lifelong learners — where convenience and time-savings become very important factors in continuing one’s education
And finally, as AI and other technologies continue to make their way forward, it will be hard to beat online-based and/or hybrid-based learning.
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.
…
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.
Microcredentials Can Make a Huge Difference in Higher Education — from newthinking.com by Shannon Riggs The Ecampus executive director of academic programs and learning innovation at Oregon State University believes that shorter form, low-cost courses can open up colleges to more people.
That so much student loan debt exists is a clear signal that higher education needs to innovate to reduce costs, increase access and improve students’ return on investment. Microcredentials are one way we can do this.
As the Supreme Court weighs President Joe Biden’s student loan forgiveness plan, college tuition keeps climbing.
This year’s incoming freshman class can expect to borrow as much as $37,000 to help cover the cost of a bachelor’s degree, according to a recent report.
College is only getting more expensive. Tuition and fees plus room and board at four-year, in-state public colleges rose more than 2% to $23,250, on average, in the 2022-23 academic year; at four-year private colleges, it increased by more than 3% to $53,430, according to the College Board, which tracks trends in college pricing and student aid.
Many students now borrow to cover the tab, which has already propelled collective student loan debt in the U.S. past $1.7 trillion.
Leaders of colleges and universities face unprecedented challenges today. Tuition has more than doubled over the past two decades as state and federal funding has decreased. Renewed debates about affirmative action and legacy admissions are roiling many campuses and confusing students about what it takes to get accepted. Growing numbers of administrators are matched by declining student enrollment, placing new financial pressures on institutions of higher learning. And many prospective students and their parents are losing faith in the ROI of such an expensive investment and asking the simple question: Is it all worth it? Join distinguished leaders from public and private institutions for this panel discussion on how they are navigating these shifts and how they see the future of higher education.
This year’s lists also offer a hint of how widespread the rankings revolt was. Seventeen medical schools and 62 law schools — nearly a third of the law schools U.S. News ranks — didn’t turn in data to the magazine this year.(It’s not clear what nonparticipation rates have been in the past. Reached by email to request historical context, a spokesperson for U.S. News pointed to webpages that are no longer online. U.S. News ranked law and medical schools that didn’t cooperate this year by using publicly available and past survey data.)
Student loan borrowers who would stand to benefit the most from income-driven repayment plans, or IDRs, are less likely to know about them, according to a new report from left-leaning think tank New America.
Around 2 in 5 student-debt holders earning less than $30,000 a year reported being unfamiliar with the repayment plans. Under a proposed plan from the U.S. Education Department, IDR minimum monthly loan payments for low-income earners, such as this group, could drop to $0.
Just under half of borrowers in default had not heard of IDRs, despite the plans offering a pathway to becoming current on their loans, the report said. Only one-third of currently defaulted borrowers had ever enrolled in IDR.
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