Canva’s new AI tools automate boring, labor-intensive design tasks — from theverge.com by Jess Weatherbed Magic Studio features like Magic Switch automatically convert your designs into blogs, social media posts, emails, and more to save time on manually editing documents.
The more I look around higher education, the more clearly it seems to me that there are three practices which we carry out every day – which seemed baked right into the very DNA of our current system of higher education – that are inimical to the actual purpose of higher education. Those practices are:
Lecturing,
Traditional grading, and
Student evaluations of teaching.
Before you get upset, let me say: I don’t think any of these practices is “evil”, and my understanding of the history of education says that all three were developed with good intentions, for legitimate reasons, to solve real problems. (With the possible exception of student evaluations of teaching – I’m working on trying to figure out where these came from and why they were invented.) But regardless of the background and intentions, they have taken over higher education like an invasive species.
“If you looked at the average person outside of higher education and said, you know, ‘We’ve created a culture in higher ed where our core thing we do isn’t valued,’ that makes absolutely no sense,” says Amy Hawkins, assistant provost for teaching and academic leadership at the University of Central Arkansas, which has been working to change that dynamic on campus. “It would be like saying in a company, ‘Well, customer service isn’t really a big deal to us. We’re about product development. We treat our customers like crap.’ I mean. That’s nonsensical.”
Does the public know this? And does it care?
Surveys show that what the public values most about higher education is good teaching and meaningful learning.
What makes an effective microcredential programme? — from by Temesgen Kifle Short, flexible and skills-focused, microcredentials must balance the needs of students and industry. Here are tips on how to develop courses that achieve this
Here are tips for higher education institutions (HEIs) to consider when creating and delivering microcredential programmes so they meet the needs of all stakeholders.
Collaborate with accrediting bodies, employers and other HEIs
An introduction to creating escape rooms— from timeshighereducation.com by Bernardo Pereira Nunes Bernardo Pereira Nunes offers tips on how to get started on an escape room experience that will boost students’ teamwork, leadership, communication and problem-solving skills
But I’ve also been hearing one intriguing question, over and over, that isn’t directly about loans or repayment, so much as it is about how to avoid them entirely. And it’s coming from parents of kids who’ve not yet traded in their sticker collections for student loans.
“I’ve got one little guy who’s about six years old,” Caleb Queern, of Austin, Texas, told me recently. “And my questions are, number one: How much should we be saving between now and the time my little guy is ready for college? And number two: What’s the best way to save for it?”
Is school transformation possible without replacing the existing education system? In addition to Tom, Kelly Young of Education Reimagined joined me to argue that it’s not. In an educational landscape that constantly seeks marginal improvements, my guests spoke to the importance of embracing new value networks that support innovative approaches to learning. The conversation touched on the issue of programs that remain niche solutions, rather than robust, learner-centered alternatives. In exploring the concept of value networks, they both challenged the notion of transforming individual schools or districts alone. They argue for the creation of a new value network to truly revolutionize the education system. Of course, they admit that achieving this is no small feat, as it requires a paradigm shift in mindset and a careful balance between innovation and existing structures. In this conversation, we wrestle with the full implications of their findings and more.
Hi everyone, I’m Daphne, a 13-year-old going into 8th grade.
I’m writing to compare “regular” Khan Academy (no AI) to Khanmigo (powered by GPT4), using three of my own made-up criteria.
They are: efficiency, effectiveness, and enjoyability. Efficiency is how fast I am able to cover a math topic and get basic understanding. Effectiveness is my quality of understanding—the difference between basic and advanced understanding. And the final one—most important to kids and maybe least important to adults who make kids learn math—is enjoyability.
7 Questions on Generative AI in Learning Design — from campustechnology.com by Rhea Kelly Open LMS Adoption and Education Specialist Michael Vaughn on the challenges and possibilities of using artificial intelligence to move teaching and learning forward.
The potential for artificial intelligence tools to speed up course design could be an attractive prospect for overworked faculty and spread-thin instructional designers. Generative AI can shine, for example, in tasks such as reworking assessment question sets, writing course outlines and learning objectives, and generating subtitles for audio and video clips. The key, says Michael Vaughn, adoption and education specialist at learning platform Open LMS, is treating AI like an intern who can be guided and molded along the way, and whose work is then vetted by a human expert.
We spoke with Vaughn about how best to utilize generative AI in learning design, ethical issues to consider, and how to formulate an institution-wide policy that can guide AI use today and in the future.
On September 25th, 2023, OpenAI announced the rollout of two new features that extend how people can interact with its recent and most advanced model, GPT-4: the ability to ask questions about images and to use speech as an input to a query.
This functionality marks GPT-4’s move into being a multimodal model. This means that the model can accept multiple “modalities” of input – text and images – and return results based on those inputs. Bing Chat, developed by Microsoft in partnership with OpenAI, and Google’s Bard model both support images as input, too. Read our comparison post to see how Bard and Bing perform with image inputs.
In this guide, we are going to share our first impressions with the GPT-4V image input feature.
One of the biggest challenges to navigate now is the fact that more digital tools will come with generative AI already embedded in them, says Annette Vee, director of composition and an associate professor at the University of Pittsburgh. “It’s everywhere in professional writing.”
“We need to be fundamentally rethinking ways we teach writing, so we are thinking about integrating tools mindfully,” says Vee, who helped develop a new resource, TextGenEd, that provides guidance in this area. “The real challenge is how do we teach courses that are preparing students and that are smart about generative AI? We have very few teachers currently equipped to do that work.”
“It’s best if there are real stakes attached to the work, for example, an authentic audience the student is writing to,” he writes. “A subject on which students have both sufficient interest and knowledge in order to feel as though they can write convincingly to this audience also matters a lot.”
Also relevant/see — via Robert Gibson on LinkedIn:
Learnt.ai — Built for Learning Specialists — from learnt.ai Harness the power of artificial intelligence to enhance your learning and development efforts with our easy-to-use platform – no technical expertise required!
Introducing Learnt.ai – a revolutionary collection of AI-powered content generation tools and AI chatbots that are specifically designed to support the common writing tasks of educationalists and learning and development professionals. Imagine being able to generate learning objectives on any topic of your choice, create engaging icebreakers and activities, write assessment questions with ease, and so much more.
Students are using artificial intelligence tools to assist them in their academic careers. Three students share their viewpoints on the tools they use and how using these tools helps them in their coursework and prepares them for the professional world.
Also relevant/see:
Why Professors Are Polarized on AI — from insidehighered.com by Susan D’Agostino Academics who perceive threats to education from AI band together as a survival mechanism. The resulting alliances echo divisions formed during online learning’s emergence.
Why do so many students have the impression that they should attend office hours only if they’ve got a question? Here’s my hunch: Well-meaning, supportive professors mention their office hours at various points throughout the course: If you have questions about fill-in-the-blank, come to my office hours. The professors mean, “I am here to help! Come talk to me.” Students hear: “If you have a question.”
It’s a frustrating misunderstanding, because it contributes to the big problem my article focuses on: Many students miss out on the support professors stand to provide.
… ‘Adjunct Faculty 101’
“Sessions offered this year included ‘An Orientation to the Canvas LMS,’ ‘The First Day of Class,’ ‘Creating Student-Centered Course Materials,’ ‘Classroom-Management Tips,’ ‘Academic-Integrity Tips and Processes,’ ‘An Introduction to Our Tutoring Services and Writing Center,’ ‘Writing Across the Disciplines With AI,’ and more.”
From DSC: I like the idea of using “office hours” for building relationships, helping students with their future career decisions, building broader understanding, ongoing mentoring, and for developing potential networking opportunities.
6. Create externship programs for faculty. Many college and university faculty have never worked outside of academia. Given a chance to be exposed to modern workplaces and work challenges, faculty will find innovative and creative ways to weave more work-integrated learning into their curriculum.
From DSC: This is a great idea — thanks Brandon!
I might add another couple of thoughts here as well:
And/or treat your Adjunct Faculty Members much better as well!
And/or work with more L&D Departments at local companies (i.e., to develop closer, more beneficial/WIN-WIN collaborations).
What does active learning require from students? There is no secret that PBL and all other active learning approaches are much more demanding from students compared to traditional methods, mainly in terms of skills and attitudes towards learning. Here are some of the aspects where students, especially when first faced to active learning, seem to struggle:
Formulating own learning goals and following through with independent study. While in traditional teaching the learning goals are given to students, in PBL (or at least in some of its purest variants), they need to come up with their own, for each problem they are solving. This requires understanding the problem well but also a certain frame of mind where one can assess what is necessary to solve it and make a plan of how to go about it (independently and as a group). All these seemingly easy steps are often new to students and something they intrinsically expect from us as educators.
From DSC: The above excerpt re: formulating one’s own learning goals reminded me of project management and learning how to be a project manager.
It reminded me of a project that I was assigned back at Kraft (actually Kraft General Foods at the time). It was an online-based directory of everyone in the company at the time. When it was given to me, several questions arose in my mind:
Where do I start?
How do I even organize this project?
What is the list of to-do’s?
Who will I need to work with?
Luckily I had a mentor/guide who helped me get going and an excellent contact with the vendor who educated me and helped me get the ball rolling.
I’ll end with another quote and a brief comment:
Not being afraid of mistakes and learning from them. The education system, at all stages, still penalises mistakes, often with long term consequences. So it’s no wonder students are afraid of making mistakes…
What we teachers desperately need, though, is an ocean of examples and training. We need to see and share examples of generative AI—any type of artificial intelligence that can be used to create new text, images, video, audio, code, or data—being used across the curriculum. We need catalogs of new lesson plans and new curriculum.
And we need training on theoretical and practical levels: training to understand what artificial intelligence actually is and where it stands in the development timeline and training about how to integrate it into our classes.
So, my advice to teachers is to use any and all the generative AI you can get your hands on. Then experience—for yourself—verification of the information. Track it back to the source because in doing so, you’ll land on the adjustments you need to make in your classes next year.
From DSC: Interesting.
Learners can now seamlessly transition between AI-powered assistance (AI Tutor) and Live Expert support to get access to instant support, whether through AI-guided learning or real-time interactions with a human expert.
ASSIGNMENT MAKEOVERS IN THE AI AGE WITH DEREK BRUFF — from teachinginhighered.com by Bonni Stachowiak Derek Bruff shares about assignment makeovers in the AI age on episode 481 of the Teaching in Higher Ed podcast
Comment on this per Derek Bruff:
Why not ask ChatGPT to write what King or X would say about a current debate and then have the students critique the ChatGPT output? That would meet the same learning goals while also teaching AI literacy.
(Be sure to read Asim’s contribution for a useful take.)
Here’s a closer look at the concurrent AI landscape in schools — and a prediction of what the future holds.
So far, high-profile ventures in the instruction realm, such asKyron Learning, have fused teacher-produced, recorded content with LLM-powered conversational UX. The micro-learning tool Nolej references internet material when generating tasks and tests, but always holds the language model closely to the ground truth provided by teachers. Both are intriguing takes on re-imagining how to deliver core instruction and avoid hallucinations (generated content that is nonsensical).
As a result, real-time 3D jobs are among the most in demand within the tech industry. According to Unity’s vice president of Education and Social Impact, Jessica Lindl, demand is 50% higher than traditional IT jobs—adding that salaries for real-time 3D jobs are 60% greater.
“We want to provide really simple on ramps and pathways that will lead you into entry level jobs so that at any point in your career, you can decide to transfer into the industry,” Lindl says.
University World News continues its exploration of generative AI in our new special report on ‘AI and Higher Education’. In commentaries and features, academics and our journalists around the world investigate issues and developments around AI that are impacting on universities. Generative AI tools are challenging and changing higher education systems and institutions — how they are run as well as ways of teaching and learning and conducting research.
My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI.
This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.
My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to.
I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.
It is crucial to recognize that the intrinsic value of higher education isn’t purely in its ability to adapt to market fluctuations or technological innovations. Its core strength lies in promoting critical thinking, nurturing creativity, and instilling a sense of purpose and belonging. As AI progresses, these traits will likely become even more crucial. The question then becomes if higher education institutions as we know them today are the ony ones, or indeed the best ones, equipped to convey those core strengths to students.
Higher education clearly finds itself caught in a whirlwind of transformation, both in its essence and execution. The juxtaposition of legacy structures and the evolving technological landscape paints a complex picture.
For institutional leaders, the dual challenge lies in proactively seeking and initiating change (not merely adapting to it) without losing sight of their foundational principles. Simultaneously, they must equip students with skills and perspectives that AI cannot replicate.
“They begged, bargained with, and berated their instructor in pursuit of better grades — not “because they like points,” but rather, “because the education system has told them that these points are the currency with which they can buy a successful future.””
Habit #2: Engage students in a brain dump or two things as an entry ticket or exit ticket. Spend one minute or less having students write down everything (or just two things) they remember from class. The key: Don’t grade it! Keep retrieval practice no-stakes to emphasize it’s a learning strategy, not an assessment strategy.
Teaching from the heart in 13 steps — from timeshighereducation.com by Beiting He Engaging your students through empathy requires teachers to share their own stories and vulnerabilities and foster a safe space for learning. Here, Beiting He offers 13 ways to create a caring classroom
In summary, “I wish” is about proposing positive changes and improvements, while “I wonder” is about asking thoughtful questions to gain insight and foster meaningful conversations within the team.
What if you could have a conversation with your notes?That question has consumed a corner of the internet recently, as companies like Dropbox, Box, Notion, and others have built generative AI tools that let you interact with and create new things from the data you already have in their systems.
Google’s version of this is called NotebookLM. It’s an AI-powered research tool that is meant to help you organize and interact with your own notes.
… Right now, it’s really just a prototype, but a small team inside the company has been trying to figure out what an AI notebook might look like.
This is the first faculty research conducted by EDUCAUSE since 2019. Since then, the higher education landscape has been through a lot, including COVID-19, fluctuations in enrollment and public funding, and the rapid adoption of multiple instructional modalities and new technologies. In this report, we describe the findings of the research in four key areas:
Modality preferences and the impacts of teaching in non-preferred modes
Experiences teaching online and hybrid courses
Technology and digital availability of course components
Types of support needed and utilized for teaching
From DSC: Polling the faculty members and getting their feedback is not as relevant and important to the future of higher education as better addressing the needs and wants of parents and students who are paying the bills. Asking faculty members what they want to post online is not as relevant as what students want and need to see online.
“It’s an example of the streamlined admissions practices that colleges across the country are using to combat the ongoing problem of low student enrollment.”
DC: But it’s not getting at the problem of *not providing enough value* for the price. https://t.co/Ye1FFep48z
— Daniel Christian (he/him/his) (@dchristian5) August 25, 2023
From DSC: More fringe responses — versus overhauling pricing, updating curriculum, providing more opportunities to try out jobs before investing in a degree, and/or better rewarding those adjunct faculty members who are doing the majority of the teaching on many campuses.
Before the pandemic, online learning programs were typically for people going back to school to augment or change their career or pursuing a graduate degree to enhance their career while they work. That attitude is shifting as students juggle learning with jobs, family responsibilities, and commutes. In California, 4 in 5 community college classes were in person before the pandemic. By 2021, just 1 in 4 were in person, while 65% were online, according to the California Community Colleges Chancellor’s Office.
Younger students are also opting for online classes. EducationDynamics found in 2023 that the largest share of students pursuing undergraduate or graduate degrees online is 35 or younger. That said, 35% of students pursuing online undergraduate degrees are between
There are several elements to this challenge. The first is that many campuses depend largely, if not exclusively, on student course evaluations when it comes to measuring instructional quality. And often those evaluations are not particularly well designed or substantive.
…
But even when course evaluations are better designed, I’m not sure any teaching experts would argue that they should be the exclusive measure of whether a faculty member is an effective teacher. That brings us to the second element of the challenge: What else can a college do?
Several readers offered suggestions, such as to include classroom observations, peer evaluation, and teaching portfolios — in which, say, an instructor describes their teaching philosophy and classroom practices, along with evidence that they are working to strengthen their teaching.
Why Labor Shortages on Campus-Building Staffs Are Reaching ‘Crisis Situations’ — from an email newsletter from The Chronicle of Higher Education which eventually links to this article
Who will keep the buildings open? It’s no secret colleges have struggled to fill staff positions like administrative assistants, information-technology specialists, and admissions officers in today’s tight labor market. But many institutions are grasping for ways to fill key facilities positions that literally keep the doors open, such as custodians, electricians, carpenters, and maintenance workers, our Scott Carlson writes.
Staffing shortages strain the employees and contractors already on the payroll. Facilities-staff members are aging and often juggling project backlogs.
Remember: Building services were the third-most-difficult area to hire in, according to a Chronicle survey conducted earlier this year, behind information technology and dining services. Six in 10 respondents said hiring building-services staff was a serious or moderate problem.
Higher ed may be a victim of its own success. The country has emphasized college after high school over the last four decades, while trades have struggled to attract workers.
An eye-opening stat: Even with a recently renewed emphasis on the trades, the U.S. has only about 600,000 people in apprenticeships, far below the 17 million students enrolled in college.
Colleges and universities that specialize in health and technology proved to serve low-income students who end up with the highest starting salaries six years after they enrolled. For this earnings data, College Scorecard does not take into account whether students graduated or not.
Hover your cursor over each bar to read details about each institution.
Brave New Classrooms — from Dr. Philippa Hardman Why 2023-2024 will be remembered as the academic year that education embraced AI
After a rocky start, more and more evidence suggests that the academic year 2023-2024 will likely prove to be a defining year for higher education: the year higher education embraced AI.
Over the course of the next academic year, we will likely see three main changes in the world of education:
More education institutions will embrace AI & develop policies & guidance on its appropriate use at the institution, department & classroom level.
We will see a wave of assessment reform, with a new focus on the assessment of learners’ process and skills, including the effective use of AI.
To enable this chance, we will see a rapid increase in the provision of AI training for leaders, educators and administrators.
While risks and barriers to entry remain real, supported by well-rounded strategic frameworks, the education system has the potential to leverage AI reinvent itself and improve its ability to deliver on the promise to deliver real-world-relevant education.
So, as educators, mentors, and guides to our future generations, we must ask ourselves three pivotal questions:
What value do we offer to our students?
What value will they need to offer to the world?
How are we preparing them to offer that value?
The answers to these questions are crucial, and they will redefine the trajectory of our education system.
We need to create an environment that encourages curiosity, embraces failure as a learning opportunity, and celebrates diversity. We need to teach our students how to learn, how to ask the right questions, and how to think for themselves.
Leveraging ChatGPT for learning is the most meaningful skill this year for lifelong learners. But it’s too hard to find resources to master it.
As a learning science nerd, I’ve explored hundreds of prompts over the past months. Most of the advice doesn’t go beyond text summaries and multiple-choice testing.
That’s why I’ve created this article — it merges learning science with prompt writing to help you learn anything faster.
Midjourney AI Art for Teachers (for any kind of teacher, not just Art Teachers) — from The AI Educator on YouTube by Dan Fitzpatrick
From DSC: This is a very nice, clearly illustrated, free video to get started with the Midjourney (text-to-image) app. Nice work Dan!
In the new-normal of generative AI, how does one articulate the value of academic integrity? This blog presents my current response in about 2,500 words; a complete answer could fill a sizable book.
Massive amounts of misinformation are disseminated about generative AI, so the first part of my discussion clarifies what large language models (Chat-GPT and its counterparts) can currently do and what they cannot accomplish at this point in time. The second part describes ways in which generative AI can be misused as a means of learning; unfortunately, many people are now advocating for these mistaken applications to education. The third part describes ways in which large language models (LLM), used well, may substantially improve learning and education. I close with a plea for a robust, informed public discussion about these topics and issues.
Many of the more than a dozen teachers TIME interviewed for this story argue that the way to get kids to care is to proactively use ChatGPT in the classroom.
…
Some of those creative ideas are already in effect at Peninsula High School in Gig Harbor, about an hour from Seattle. In Erin Rossing’s precalculus class, a student got ChatGPT to generate a rap about vectors and trigonometry in the style of Kanye West, while geometry students used the program to write mathematical proofs in the style of raps, which they performed in a classroom competition. In Kara Beloate’s English-Language Arts class, she allowed students reading Shakespeare’s Othello to use ChatGPT to translate lines into modern English to help them understand the text, so that they could spend class time discussing the plot and themes.
I found that other developed countries share concerns about students cheating but are moving quickly to use AI to personalize education, enhance language lessons and help teachers with mundane tasks, such as grading. Some of these countries are in the early stages of training teachers to use AI and developing curriculum standards for what students should know and be able to do with the technology.
Several countries began positioning themselves several years ago to invest in AI in education in order to compete in the fourth industrial revolution.
AI in Education— from educationnext.org by John Bailey The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise
In the realm of education, this technology will influence how students learn, how teachers work, and ultimately how we structure our education system. Some educators and leaders look forward to these changes with great enthusiasm. Sal Kahn, founder of Khan Academy, went so far as to say in a TED talk that AI has the potential to effect “probably the biggest positive transformation that education has ever seen.” But others warn that AI will enable the spread of misinformation, facilitate cheating in school and college, kill whatever vestiges of individual privacy remain, and cause massive job loss. The challenge is to harness the positive potential while avoiding or mitigating the harm.
Generative AI and education futures — from ucl.ac.uk Video highlights from Professor Mike Sharples’ keynote address at the 2023 UCL Education Conference, which explored opportunities to prosper with AI as a part of education.
Bringing AI Literacy to High Schools— from by Nikki Goth Itoi Stanford education researchers collaborated with teachers to develop classroom-ready AI resources for high school instructors across subject areas.
To address these two imperatives, all high schools need access to basic AI tools and training. Yet the reality is that many underserved schools in low-income areas lack the bandwidth, skills, and confidence to guide their students through an AI-powered world. And if the pattern continues, AI will only worsen existing inequities. With this concern top of mind plus initial funding from the McCoy Ethics Center, Lee began recruiting some graduate students and high school teachers to explore how to give more people equal footing in the AI space.
Excerpts from the Too Long Didn’t Read (TLDR) section fromAIxEducation Day 1: My Takeaways — from stefanbauschard.substack.com by Stefan Bauschard (emphasis DSC)
* There was a lot of talk about learning bots.This talk included the benefits of 1:1 tutoring, access to education for those who don’t currently have it (developing world), the ability to do things for which we currently don’t have enough teachers and support staff (speech pathology), individualized instruction (it will be good at this soon), and stuff that it is already good at (24/7 availability, language tutoring, immediate feedback regarding argumentation and genre (not facts :), putting students on the right track, comprehensive feedback, more critical feedback).
* Students are united. The student organizers and those who spoke at the conference have concerns about future employment, want to learn to use generative AI, and express concern about being prepared for the “real world.” They also all want a say in how generative AI is used in the college classroom. Many professors spoke about the importance of having conversations with students and involving them in the creation of AI policies as well.
* I think it’s fair to say that all professors who spoke thought students were going to use generative AI regardless of whether or not it was permitted, though some hoped for honesty.
* No professor who spoke thought using a plagiarism detector was a good idea.
* Everyone thought that significant advancements in AI technology were inevitable.
* Almost everyone expressed being overwhelmed by the rate of change.
The company is increasingly emphasizing its portfolio of products built around the Canvas LMS, what they call the Instructure Unified Learning Platform. Perhaps the strongest change in message is the increased emphasis on the EdTech Collective, Instructure’s partner ecosystem. In fact, two of the three conference press releases were on the ecosystem – describing the 850 partners as “a larger partner community than any other LMS provider” and announcing a partnership with Khan Academy with its Khanmigo AI-based tutoring and teaching assistant tool (more on generative AI approach below).
The Anthology conference, held from July 17-19, marked the second gathering since Blackboard ceased operating as a standalone company and transformed into a brand for a product line.
What stood out was not just the number of added features but the extent to which these enhancements were driven by customer input. There has been a noticeable shift in how Anthology listens to clients, which had been a historical weakness for Blackboard. This positive change was emphasized not only by Anthology executives, but more importantly by customers themselves, even during unscripted side conversations.
D2L is a slow burn company, and in the past eight years in a good way. The company started working on its move to the cloud, tied to its user experience redesign as Brightspace, in 2014. Five years later, the company’s LMS was essentially all cloud (with one or two client exceptions). More importantly, D2L Brightspace in this time period became fully competitive with Instructure Canvas, winning head-to-head competitions not just due to specialized features but more broadly in terms of general system usability and intuitive design. That multi-year transformation is significant, particularly for a founder-led company.
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