education technology

A Notre Dame Senior’s Perspective on AI in the Classroom — from learning.nd.edu — by Sarah Ochocki; via Derek Bruff on LinkedIn

At this moment, as a college student trying to navigate the messy, fast-developing, and varied world of generative AI, I feel more confused than ever. I think most of us can share that feeling. There’s no roadmap on how to use AI in education, and there aren’t the typical years of proof to show something works. However, this promising new tool is sitting in front of us, and we would be foolish to not use it or talk about it.
…
I’ve used it to help me understand sample code I was viewing, rather than mindlessly trying to copy what I was trying to learn from. I’ve also used it to help prepare for a debate, practicing making counterarguments to the points it came up with.

AI alone cannot teach something; there needs to be critical interaction with the responses we are given. However, this is something that is true of any form of education. I could sit in a lecture for hours a week, but if I don’t do the homework or critically engage with the material, I don’t expect to learn anything.

A Map of Generative AI for Education — from medium.com by Laurence Holt; via GSV
An update to our map of the current state-of-the-art

Last ones (for now):

Survey: K-12 Students Want More Guidance on Using AI — from govtech.com by Lauraine Langreo
Research from the nonprofit National 4-H Council found that most 9- to 17-year-olds have an idea of what AI is and what it can do, but most would like help from adults in learning how to use different AI tools.

“Preparing young people for the workforce of the future means ensuring that they have a solid understanding of these new technologies that are reshaping our world,” Jill Bramble, the president and CEO of the National 4-H Council, said in a press release.

AI School Guidance Document Toolkit, with Free Comprehensive Review — from tefanbauschard.substack.com by Stefan Bauschard and Dr. Sabba Quidwai

This week in 5 numbers: Another faith-based college plans to close — from by Natalie Schwartz
We’re rounding up some of our top recent stories, from Notre Dame College’s planned closure to Valparaiso’s potential academic cuts.

BY THE NUMBERS

1,444
The number of students who were enrolled at Notre Dame College in fall 2022, down 37% from 2014. The Roman Catholic college recently said it would close after the spring term, citing declining enrollment, along with rising costs and significant debt.
28
The number of academic programs that Valparaiso University may eliminate. Eric Johnson, the Indiana institution’s provost, said it offers too many majors, minors and graduate degrees in relation to its enrollment.
…

A couple of other items re: higher education that caught my eye were:

Universities Expect to Use More Tech in Future Classrooms—but Don’t Know How — from insidehighered.com by Lauren Coffey

University administrators see the need to implement education technology in their classrooms but are at a loss regarding how to do so, according to a new report.

The College Innovation Network released its first CIN Administrator EdTech survey today, which revealed that more than half (53 percent) of the 214 administrators surveyed do not feel extremely confident in choosing effective ed-tech products for their institutions.

“While administrators are excited about offering new ed-tech tools, they are lacking knowledge and data to help them make informed decisions that benefit students and faculty,” Omid Fotuhi, director of learning and innovation at WGU Labs, which funds the network, said in a statement.

From DSC:
I always appreciated our cross-disciplinary team at Calvin (then College). As we looked at enhancing our learning spaces, we had input from the Teaching & Learning Group, IT, A/V, the academic side of the house, and facilities. It was definitely a team-based approach. (As I think about it, it would have been helpful to have more channels for student feedback as well.)

Per Jeff Selingo:

Optionality. In my keynote, I pointed out that the academic calendar and credit hour in higher ed are like “shelf space” on the old television schedule that has been upended by streaming. In much the same way, we need similar optionality to meet the challenges of higher ed right now: in how students access learning (in-person, hybrid, online) to credentials (certificates, degrees) to how those experiences stack together for lifelong learning.

Culture in institutions. The common thread throughout the conference was how the culture of institutions (both universities and governments) need to change so our structures and practices can evolve. Too many people in higher ed right now are employing a scarcity mindset and seeing every change as a zero-sum game. If you’re not happy about the present, as many attendees suggested you’re not going to be excited about the future.

State of Higher Ed LMS Market for US and Canada: Year-End 2023 Edition — from onedtech.philhillaa.com by Phil Hill

The market continues to be a matter of Canvas and Brightspace winning new accounts, Anthology Bb Learn and Moodle losing accounts, with more variety for smaller institutions.
Canvas has further consolidated its position as the market leader in North America, with 41% of the market share. Blackboard fell from 18% of the market share to 17%. Moodle has plateaued at 16% while Brightspace increased to 16%. As a reminder, we have removed Open LMS from the Moodle market share.
Populi LMS (3%), Open LMS (3%), Sakai (2%), and Schoology (1%) round out the remainder of the market, with 1% of the market going to Other.
As always, market share is very much a story of size, type of institution (public or private), and control. The numbers above refer to the market take as a whole, but if we start to drill down to different sizes and types of institution, we get very different market dynamics.

.

Online Teaching Is Improving In-Person Instruction on Campus — from edsurge.com by Robert Ubell (Columnist)

In fact a slew of research over the past two decades has found that teaching online makes professors better teachers in their classrooms, so much so that one 2009 study recommended that “faculty should be trained in distance education methods and technologies and should be encouraged to use those methods back in the classroom.”

It’s a message I’ve been arguing for a while. But now that so many educators and students have had direct experience with online formats, it’s a narrative that seems to be sinking in.

Now is the time to fully embrace how physical classrooms can be improved by online techniques.

When professors teaching face-to-face adopt online pedagogy, the classroom is transformed into a “blended” experience, moving from conventional to active learning. And that helps students turn from passive to engaged participants in their own intellectual excursions.

Two items from Derek Bruff re: teaching and learning in higher education

On 02/28/2024, in adjunct faculty, colleges, community colleges, digital learning, education technology, faculty, higher education, instructional design, IT in HE, learning, learning ecosystem, Learning Experience Design, pedagogy, productivity / tips and tricks, professional development, teaching & learning, United States, universities, by Daniel Christian

Programs, Services, and More: A Map of CTL Tactics — from derekbruff.org

My colleagues and I at the Center for Excellence in Teaching and Learning (CETL) have been reading and discussing Mary C. Wright’s new book Centers for Teaching and Learning: The New Landscape in Higher Education (Johns Hopkins University Press, 2023). Wright identified all the centers for teaching and learning (CTLs) in the United States and then did a content analysis of their websites to see what they were all about. For someone like me, who has spent his career working in CTLs, Wright’s work is a fascinating look at my own field and how it represents itself through mission statements, listings of programs and services, and annual reports.

Also from Derek, see:

Recap: Study skills, flipped learning, and more at spring STEM teaching lunches — from umcetl.substack.com
With the final spring STEM teaching lunch coming up on March 4th, here’s a recap of what you missed at the first two lunches.

- February 8th – Helping students learn how to learn
- February 20th – Reconsidering class time through flipped learning

Using Generative AI throughout the Institution — from aiedusimplified.substack.com by Lance Eaton
8 lightning talk on generative AI and how to use it through higher education

The magic of AI to help educators with saving time. — from magicschool.ai; via Mrs. Kendall Sajdak

Getting Better Results out of Generative AI — from aiedusimplified.substack.com by Lance Eaton
The prompt to use before you prompt generative AI

Last month, I discussed a GPT that I had created around enhancing prompts. Since then, I have been actively using my Prompt Enhancer GPT to much more effective outputs. Last week, I did a series of mini-talks on generative AI in different parts of higher education (faculty development, human resources, grants, executive leadership, etc) and structured it as “5 tips”. I included a final bonus tip in all of them—a tip that I heard from many afterwards was probably the most useful tip—especially because you can only access the Prompt Enhancer GPT if you are paying for ChatGPT.

Exploring the Opportunities and Challenges with Generative AI — from er.educause.edu by Veronica Diaz

Effectively integrating generative AI into higher education requires policy development, cross-functional engagement, ethical principles, risk assessments, collaboration with other institutions, and an exploration of diverse use cases.

Creating Guidelines for the Use of Gen AI Across Campus — from campustechnology.com by Rhea Kelly
The University of Kentucky has taken a transdisciplinary approach to developing guidelines and recommendations around generative AI, incorporating input from stakeholders across all areas of the institution. Here, the director of UK’s Center for the Enhancement of Learning and Teaching breaks down the structure and thinking behind that process.

That resulted in a set of instructional guidelines that we released in August of 2023 and updated in December of 2023. We’re also looking at guidelines for researchers at UK, and we’re currently in the process of working with our colleagues in the healthcare enterprise, UK Healthcare, to comb through the additional complexities of this technology in clinical care and to offer guidance and recommendations around those issues.

From Mean Drafts to Keen Emails — from automatedteach.com by Graham Clay

My experiences match with the results of the above studies. The second study cited above found that 83% of those students who haven’t used AI tools are “not interested in using them,” so it is no surprise that many students have little awareness of their nature. The third study cited above found that, “apart from 12% of students identifying as daily users,” most students’ use cases were “relatively unsophisticated” like summarizing or paraphrasing text.

For those of us in the AI-curious bubble, we need to continually work to stay current, but we also need to recognize that what we take to be “common knowledge” is far from common outside of the bubble.

What do superintendents need to know about artificial intelligence? — from k12dive.com by Roger Riddell
District leaders shared strategies and advice on ethics, responsible use, and the technology’s limitations at the National Conference on Education.

Despite general familiarity, however, technical knowledge shouldn’t be assumed for district leaders or others in the school community. For instance, it’s critical that any materials related to AI not be written in “techy talk” so they can be clearly understood, said Ann McMullan, project director for the Consortium for School Networking’s EmpowerED Superintendents Initiative.

To that end, CoSN, a nonprofit that promotes technological innovation in K-12, has released an array of AI resources to help superintendents stay ahead of the curve, including a one-page explainer that details definitions and guidelines to keep in mind as schools work with the emerging technology.

Affordability and Microcredentials — from the-job.beehiiv.com by Paul Fain
Cutting costs for short-term credentials with course sharing and, perhaps, federal money.

‘Bespoke, e-Commerce-Enabled Storefronts’
Demand for nondegree credentials has risen. But it can be expensive and tricky for colleges to create their own workforce-relevant courses and certifications. Homegrown microcredentials also may be more likely to fall flat with students and employers, particularly in competition with professional certificates from big brands like Salesforce or AWS.

Acadeum, an online course-sharing company, is betting that a networked marketplace will be a better option for its 460 college and university partners, which include a growing number of community colleges. Beginning last month, those colleges can tap into 380+ online certificates, certifications, and skills-training courses.

“Skills Marketplace lowers the barrier of entry for institutions to self-select only the certifications that align their program offerings to meet student and workforce demand,” says David Daniels, Acadeum’s president and CEO.

Text to video via OpenAI’s Sora. (I had taken this screenshot on the 15th, but am posting it now.)

We’re teaching AI to understand and simulate the physical world in motion, with the goal of training models that help people solve problems that require real-world interaction.

Introducing Sora, our text-to-video model. Sora can generate videos up to a minute long while maintaining visual quality and adherence to the user’s prompt.

Along these lines, also see:

Pika; via Superhuman AI

? BREAKING: OpenAI just announced their new Text-To-Video model called Sora.

Look at these 10 insane examples:

1. Space movie trailer featuring a man wearing a red wool knitted motorcycle helmet pic.twitter.com/Z8ezF69Tar

— Alvaro Cintas (@dr_cintas) February 15, 2024

An Ivy League school just announced its first AI degree — from qz.com by Michelle Cheng; via Barbara Anna Zielonka on LinkedIn
It’s a sign of the times. At the same time, AI talent is scarce

At the University of Pennsylvania, undergraduate students in its school of engineering will soon be able to study for a bachelor of science degree in artificial intelligence.

What can one do with an AI degree? The University of Pennsylvania says students will be able to apply the skills they learn in school to build responsible AI tools, develop materials for emerging chips and hardware, and create AI-driven breakthroughs in healthcare through new antibiotics, among other things.

Google Pumps $27 Million Into AI Training After Microsoft Pledge—Here’s What To Know — from forbes.com by Robert Hart

Google on Monday announced plans to help train people in Europe with skills in artificial intelligence, the latest tech giant to invest in preparing workers and economies amid the disruption brought on by technologies they are racing to develop.

The Exhausting Pace of AI: Google’s Ultra Leap — from marcwatkins.substack.com by Marc Watkins

The acceleration of AI deployments has gotten so absurdly out of hand that a draft post I started a week ago about a new development is now out of date.
…
The Pace is Out of Control
A mere week since Ultra 1.0’s announcement, Google has now introduced us to Ultra 1.5, a model they are clearly positioning to be the leader in the field. Here is the full technical report for Gemini Ultra 1.5, and what it can do is stunning.

Maryville Announces $21 Million Investment in AI and New Technologies Amidst Record Growth — from maryville.edu; via Arthur “Art” Fredrich on LinkedIn

[St. Louis, MO, February 14, 2024] – In a bold move that counters the conventions of more traditional schools, Maryville University has unveiled a substantial $21 million multi-year investment in artificial intelligence (AI) and cutting-edge technologies. This groundbreaking initiative is set to transform the higher education experience to be powered by the latest technology to support student success and a five-star experience for thousands of students both on-campus and online.

Announcing the 2024 GSV 150: The Top Growth Companies in Digital Learning & Workforce Skills — from prnewswire.com with information provided by ASU+GSV Summit

“The world is adapting to seismic shifts from generative AI,” says Luben Pampoulov, Partner at GSV Ventures. “AI co-pilots, AI tutors, AI content generators—AI is ubiquitous, and differentiation is increasingly critical. This is an impressive group of EdTech companies that are leveraging AI and driving positive outcomes for learners and society.”

Workforce Learning comprises 34% of the list, K-12 29%, Higher Education 24%, Adult Consumer Learning 10%, and Early Childhood 3%. Additionally, 21% of the companies stretch across two or more “Pre-K to Gray” categories. A broader move towards profitability is also evident: the collective gross and EBITDA margin score of the 2024 cohort increased 5% compared to 2023.

See the list at https://www.asugsvsummit.com/gsv-150

Selected from 2,000+ companies around the world based on revenue scale, revenue growth, user reach, geographic diversification, and margin profile, this impressive group is reaching an estimated 3 billion people and generating an estimated $23 billion in revenue.

From DSC:
I recently ran into the following item:

UK university opens VR classroom — from inavateonthenet.net

Students at the University of Nottingham will be learning through a dedicated VR classroom, enabling remote viewing and teaching for students and lecturers.

Based in the university’s Engineering Science and Learning Centre (ELSC), this classroom, believed to be the first in the UK to use a dedicated VR classroom, using 40 VR headsets, 35 of which are tethered overhead to individual PCs, with five available as traditional, desk-based systems with display screens.

I admit that I was excited to see this article and I congratulate the University of Nottingham on their vision here. I hope that they can introduce more use cases and applications to provide evidence of VR’s headway.

As I look at virtual reality…

On the plus side, I’ve spoken with people who love to use their VR-based headsets for fun workouts/exercises. I’ve witnessed the sweat, so I know that’s true. And I believe there is value in having the ability to walk through museums that one can’t afford to get to. And I’m sure that the gamers have found some incredibly entertaining competitions out there. The experience of being immersed can be highly engaging. So there are some niche use cases for sure.
But on the negative side, the technologies surrounding VR haven’t progressed as much as I thought they would have by now. For example, I’m disappointed Apple’s taken so long to put a product out there, and I don’t want to invest $3500 in their new product. From the reviews and items on social media that I’ve seen, the reception is lukewarm. At the most basic level, I’m not sure people want to wear a headset for more than a few minutes.

So overall, I’d like to see more use cases and less nausea.

Addendum on 2/27/24:

Leyard ‘wall of wonder’ wows visitors at Molecular Biology Lab — from inavateonthenet.net

OpenAI is testing ChatGPT’s ability to remember things + other items re: AI in general

On 02/14/2024, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, corporate / business world, corporate universities / corporate training, education technology, emerging technologies, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, Open AI, personalized/customized learning, platforms, professional development, student-related, teachers, teaching & learning, tools, youth, by Daniel Christian

We’re testing ChatGPT’s ability to remember things you discuss to make future chats more helpful.

This feature is being rolled out to a small portion of Free and Plus users, and it’s easy to turn on or off. https://t.co/1Tv355oa7V pic.twitter.com/BsFinBSTbs

— OpenAI (@OpenAI) February 13, 2024

From DSC:
This would be huge for all of our learning ecosystems, as the learning agents could remember where a particular student or employee is at in terms of their learning curve for a particular topic.

Say What? Chat With RTX Brings Custom Chatbot to NVIDIA RTX AI PCs — from blogs.nvidia.com
Tech demo gives anyone with an RTX GPU the power of a personalized GPT chatbot.

? BREAKING: Nvidia just released Chat with RTX, an AI chatbot that runs locally on your PC.

It can summarize or search documents across your PC's files and even YouTube videos and playlists.

The chatbot runs locally, meaning results are fast, you can use it without the… pic.twitter.com/je3gzOs45I

— Rowan Cheung (@rowancheung) February 13, 2024

Top 6 Use Cases of Generative AI in Education in 2024 — from research.aimultiple.com by Cem Dilmegani

Use cases included:

Personalized Lessons
Course Design
Content Creation for Courses
Data Privacy Protection for Analytical Models
Restoring Old Learning Materials
Tutoring

The Next Phase of AI in Education at the U.S. Department of Education — from medium.com by Office of Ed Tech

Why are we doing this work?
Over the past two years, the U.S. Department of Education has been committed to maintaining an ongoing conversation with educators, students, researchers, developers — and the educational community at large — related to the continuous progress of Artificial Intelligence (AI) development and its implications for teaching and learning.

Many educators are seeking resources clarifying what AI is and how it will impact their work and their students. Similarly, developers of educational technology (“edtech”) products seek guidance on what guardrails exist that can support their efforts. After the release of our May 2023 report Artificial Intelligence and the Future of Teaching and Learning, we heard the desire for more.

2024 EDUCAUSE AI Landscape Study — from library.educause.edu by Jenay Robert

Moving from reaction to action, higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and work while maintaining a sense of caution for the vast array of risks AI-powered technologies pose. To aid in these efforts, we present this inaugural EDUCAUSE AI Landscape Study, in which we summarize the higher education community’s current sentiments and experiences related to strategic planning and readiness, policies and procedures, workforce, and the future of AI in higher education.

AI Update for K-16 Administrators: More People Need to Step-Up and Take the AI Bull By the Horns — from stefanbauschard.substack.com by Stefan Bauschard
AI capabilities are way beyond what most schools are aware of, and they will transform education and society over the next few years.

Educational administrators should not worry about every AI development, but should, instead focus on the big picture, as those big picture changes will change the entire world and the educational system.

AI and related technologies (robotics, synthetic biology, and brain-computer interfaces) will continue to impact society and the entire educational system over the next 10 years. This impact on the system will be greater than anything that has happened over the last 100 years, including COVID-19, as COVID-19 eventually ended and the disruptive force of these technologies will only continue to develop.

AI is the bull in the China Shop, redefining the world and the educational system. Students writing a paper with AI is barely a poke in the educational world relative to what is starting to happen (active AI teachers and tutors; AI assessment; AI glasses; immersive learning environments; young students able to start their own business with AI tools; AIs replacing and changing jobs; deep voice and video fakes; intelligence leveling; individualized instruction; interactive and highly intelligent computers; computers that can act autonomously; and more).

Re: integrating AI into our Learning Ecosystems, we need to have realistic expectations here. [Christian]

On 02/09/2024, in 21st century, 24x7x365 access, adjunct faculty, adult learning, Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, corporate / business world, corporate universities / corporate training, education, education reform, education technology, emerging technologies, expectations, experimentation, face-to-face, faculty, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, Learning Experience Design, online learning, teachers, teaching & learning, teaching online, training / L&D, United States, universities, by Daniel Christian

Digital Learning Pulse Survey Reveals Higher-Ed Unprepared for Expected Impact of AI — from prnewswire.com by Cengage
Research illustrates that while GenAI could ease ongoing challenges in education, just 1 in 5 say their school is ready

WASHINGTON, Feb. 6, 2024 /PRNewswire/ — While three-quarters of higher-education trustees (83%), faculty (81%) and administrators (76%) agree that generative artificial intelligence (GenAI) will noticeably change their institutions in the next five years, community college trustees are more optimistic than their community college counterparts, with (37%) saying their organization is prepared for the change coming compared to just 16% of faculty and 11% of administrator respondents.

Those findings are from the 2023-2024 Digital Learning Pulse Survey conducted by Cengage and Bay View Analytics with support from the Association of Community College Trustees (ACCT), the Association of College and University Educators (ACUE), College Pulse and the United States Distance Learning Association (USDLA) to understand the attitudes and concerns of higher education instructors and leadership.

From DSC:
It takes time to understand what a given technology brings to the table…let alone a slew of emerging technologies under the artificial intelligence (AI) umbrella. It’s hard enough when the technology is fairly well established and not changing all the time. But its extremely difficult when significant change occurs almost daily.

The limited staff within the teaching & learning centers out there need time to research and learn about the relevant technologies and how to apply those techs to instructional design. The already stretched thin faculty members need time to learn about those techs as well — and if and how they want to apply them. It takes time and research and effort.

Provosts, deans, presidents, and such need time to learn things as well.

Bottom line: We need to have realistic expectations here.

AI Adoption in Corporate L&D — from drphilippahardman.substack.com by Dr. Philippa Hardman
Where we are, and the importance of use cases in enabling change

At the end of last year, O’Reilly Media published a comprehensive report on the adoption and impact of generative AI within enterprises.

The headline of the report is that we’ve never seen a technology adopted in enterprise as fast as generative AI. As of November 2023, two-thirds (67%) of survey respondents reported that their companies are using generative AI.

However, the vast majority of AI adopters in enterprise are still in the early stages; they’re experimenting at the edges, rather than making larger-scale, strategic decisions on how to leverage AI to accelerate our progress towards org goals and visions.

The single biggest hurdle to AI adoption in large corporates is a lack of appropriate use cases.

Integrating AI into your teaching + numerous other items re: AI in our Learning Ecosystems

On 02/05/2024, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence/Agents/LLMs/and Related, assessment, CMS/LMS, colleges, community colleges, digital learning, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, Google, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, lifelong learning, personalized/customized learning, platforms, productivity / tips and tricks, professional development, society, student-related, teachers, teaching & learning, tools, United States, universities, vendors, vision/possibilities, writing, by Daniel Christian

Augment teaching with AI – this teacher has it sussed… — from donaldclarkplanb.blogspot.com by Donald Clark

Emphasis (emphasis DSC):

You’re a teacher who wants to integrate AI into your teaching. What do you do? I often get asked how should I start with AI in my school or University. This, I think, is one answer.

Continuity with teaching
One school has got this exactly right in my opinion. Meredith Joy Morris has implemented ChatGPT into the teaching process. The teacher does their thing and the chatbot picks up where the teacher stops, augmenting and scaling the teaching and learning process, passing the baton to the learners who carry on. This gives the learner a more personalised experience, encouraging independent learning by using the undoubted engagement that 1:1 dialogue provides.

There’s no way any teacher can provide this carry on support with even a handful of students, never mind a class of 30 or a course with 100. Teaching here is ‘extended’ and ‘scaled’ by AI. The feedback from the students was extremely positive.

Reflections on Teaching in the AI Age — from by Jeffrey Watson

The transition which AI forces me to make is no longer to evaluate writings, but to evaluate writers. I am accustomed to grading essays impersonally with an objective rubric, treating the text as distinct from the author and commenting only on the features of the text. I need to transition to evaluating students a bit more holistically, as philosophers – to follow along with them in the early stages of the writing process, to ask them to present their ideas orally in conversation or in front of their peers, to push them to develop the intellectual virtues that they will need if they are not going to be mastered by the algorithms seeking to manipulate them. That’s the sort of development I’ve meant to encourage all along, not paragraph construction and citation formatting. If my grading practices incentivize outsourcing to a machine intelligence, I need to change my grading practices.

4 AI Imperatives for Higher Education in 2024 — from campustechnology.com by Rhea Kelly

[Bryan Alexander] There’s a crying need for faculty and staff professional development about generative AI. The topic is complicated and fast moving. Already the people I know who are seriously offering such support are massively overscheduled. Digital materials are popular. Books are lagging but will gradually surface. I hope we see more academics lead more professional development offerings.

For an academic institution to take emerging AI seriously it might have to set up a new body. Present organizational nodes are not necessarily a good fit.

A Technologist Spent Years Building an AI Chatbot Tutor. He Decided It Can’t Be Done. — from edsurge.com by Jeffrey R. Young
Is there a better metaphor than ‘tutor’ for what generative AI can do to help students and teachers?

When Satya Nitta worked at IBM, he and a team of colleagues took on a bold assignment: Use the latest in artificial intelligence to build a new kind of personal digital tutor.

This was before ChatGPT existed, and fewer people were talking about the wonders of AI. But Nitta was working with what was perhaps the highest-profile AI system at the time, IBM’s Watson. That AI tool had pulled off some big wins, including beating humans on the Jeopardy quiz show in 2011.

Nitta says he was optimistic that Watson could power a generalized tutor, but he knew the task would be extremely difficult. “I remember telling IBM top brass that this is going to be a 25-year journey,” he recently told EdSurge.

Teachers stan AI in education–but need more support — from eschoolnews.com by Laura Ascione

What are the advantages of AI in education?
Canva’s study found 78 percent of teachers are interested in using AI education tools, but their experience with the technology remains limited, with 93 percent indicating they know “a little” or “nothing” about it – though this lack of experience hasn’t stopped teachers quickly discovering and considering its benefits:

60 percent of teachers agree it has given them ideas to boost student productivity
59 percent of teachers agree it has cultivated more ways for their students to be creative
56 percent of teachers agree it has made their lives easier

…

When looking at the ways teachers are already using generative artificial intelligence, the most common uses were:

Creating teaching materials (43 percent)
Collaborative creativity/co-creation (39 percent)
Translating text (36 percent)
Brainstorming and generating ideas (35 percent)

The next grand challenge for AI — from ted.com by Jim Fan

The State of Washington Embraces AI for Public Schools — from synthedia.substack.com by Bret Kinsella; via Tom Barrett
Educational institutions may be warming up to generative AI

Washington state issued new guidelines for K-12 public schools last week based on the principle of “embracing a human-centered approach to AI,” which also embraces the use of AI in the education process. The state’s Superintendent of Public Instruction, Chris Reykdal, commented in a letter accompanying the new guidelines:

New education features to help teachers save time and support students — from by Shantanu Sinha

Giving educators time back to invest in themselves and their students
Boost productivity and creativity with Duet AI: Educators can get fresh ideas and save time using generative AI across Workspace apps. With Duet AI, they can get help drafting lesson plans in Docs, creating images in Slides, building project plans in Sheets and more — all with control over their data.

Hologram lecturers thrill students at trailblazing UK university — from theguardian.com by Rachel Hall

Any university lecturer will tell you that luring students to a morning lecture is an uphill struggle. But even the most hungover fresher would surely be enticed by a physics lesson from Albert Einstein or a design masterclass from Coco Chanel.

This could soon be the reality for British students, as some universities start to beam in guest lecturers from around the globe using the same holographic technology that is used to bring dead or retired singers back to the stage.

Learning Ecosystems

This week in 5 numbers: Another faith-based college plans to close [Schwartz]

Online Teaching Is Improving In-Person Instruction on Campus [Ubell]

Two items from Derek Bruff re: teaching and learning in higher education

A networked marketplace offering 380+ online certificates, certifications, & skills-training courses [Fain]

VR is still worth pulse-checking, but use cases need to make headway. [Christian]

Hologram lecturers thrill students at trailblazing UK university [Hall]

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