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.

 

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.


 

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

WASHINGTONFeb. 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.

 

CES 2024: Unveiling The Future Of Legal Through Consumer Innovations — from abovethelaw.com by Stephen Embry
The ripple effects on the legal industry are real.

The Emerging Role of Smart TVs
Boothe and Comiskey claim that our TVs will become even smarter and better connected to the web and the internet. Our TVs will become an intelligent center for a variety of applications powered through our smartphone. TVs will be able to direct things like appliances and security cameras. Perhaps even more importantly, our TVs can become e-commerce centers, allowing us to speak with them and conduct business.

This increased TV capability means that the TV could become a more dominant mode of working and computing for lawyers. As TVs become more integrated with the internet and capable of functioning as communication hubs, they could potentially replace traditional computing devices in legal settings. With features like voice control and pattern recognition, TVs could serve as efficient tools for such things as document preparation and client meetings.

From DSC:
Now imagine the power of voice-enabled chatbots and the like. We could be videoconferencing (or holograming) with clients, and be able to access information at the same time. Language translation — like that in the Timekettle product — will be built in.

I also wonder how this type of functionality will play out in lifelong learning from our living rooms.

Learning from the Living AI-Based Class Room

 


Also, some other legaltech-related items:


Are Tomorrow’s Lawyers Prepared for Legal’s Tech Future? 4 Recent Trends Shaping Legal Education | Legaltech News — from law.com (behind paywall)

Legal Tech Predictions for 2024: Embracing a New Era of Innovation — from jdsupra.com

As we step into 2024, the legal industry continues to be reshaped by technological advancements. This year promises to bring new developments that could revolutionize how legal professionals work and interact with clients. Here are key predictions for legal tech in 2024:

Miss the Legaltech Week 2023 Year-in-Review Show? Here’s the Recording — from lawnext.com by Bob Ambrogi

Last Friday was Legaltech Week’s year-end show, in which our panel of journalists and bloggers picked the year’s top stories in legal tech and innovation.

So what were the top stories? Well, if you missed it, no worries. Here’s the video:

 

AI University for UK? — from donaldclarkplanb.blogspot.com by Donald Clark

Tertiary Education in the UK needs a fresh idea. What we need is an initiative on the same scale as The Open University, kicked off over 50 years ago.

It is clear that an educational vision is needed and I think the best starting point is that outlined and executed by Paul LeBlanc at SNHU. It is substantial, well articulated and has worked in what has become the largest University in the US.

It would be based on the competence model, with a focus on skills shortages. Here’s a starter with 25 ideas, a manifesto of sorts, based on lessons learnt from other successful models:

  1. Non-traditional students in terms of age and background
  2. Quick and easy application process
  3. Personalised learning using AI
  4. Multimodal from the start
  5. Full range of summarisation, create self-assessment, dialogue tools
  6. Focus on generative learning using AI
  7. …and Donald lists many more (ending at #25)
 

K12 District-Level Perspectives on AI — from aiforeducation.io by Amanda Bickerstaff, Dr. Patrick Gittisriboongul, Samantha Armstrong, & Brett Roer

Want to know how K12 schools are navigating the adoption of AI and what district-level leaders really think about GenAI EdTech tools?

Join us for this free webinar where we discussed AI technology, literacy, training, and the responsible adoption of GenAI tools in K12. Our panel explored what is working well – and not so well – across their districts from a school leader and practitioner’s perspective.


ChatGPT Has Changed Teaching. Our Readers Tell Us How. — from chronicle.com by Beth McMurtrie and Beckie Supiano

Those vastly different approaches to college writing pretty much sum up the responses to generative AI: They’re all over the map.

One year after its release, ChatGPT has pushed higher education into a liminal place. Colleges are still hammering out large-scale plans and policies governing how generative AI will be dealt with in operations, research, and academic programming. But professors have been forced more immediately to adapt their classrooms to its presence. Those adaptations vary significantly, depending on whether they see the technology as a tool that can aid learning or as a threat that inhibits it.

Nearly 100 faculty members shared their stories. While not a representative sample, they teach at a wide range of institutions: 15 community colleges, 32 public and 24 private four-year colleges or universities, seven international institutions, and one for-profit college. They teach a variety of subjects, including animal science, statistics, computer science, history, accounting, and composition. Many spent hours learning about AI: enrolling in workshops and webinars, experimenting with the tools, and reading articles, so that they could enter the fall semester informed and prepared.


The Disruption of AI in CTE Is Real — from techlearning.com by Annie Galvin Teich
An ACTE expert panel urges CTE educators to jump on the AI train as it’s already left the station

10 Best Practices for AI and CTE 

  1. Embrace AI and use it first for simple tasks to create efficiencies. Then use it to individualize instruction and for formative assessment tools aligned to standards.
  2. Be creative and conscious of internal bias and ethics. Focus on DEI and access.
  3. Encourage students to use apps and tools to start moving toward an integrated curriculum using AI.
  4. Prepare students for jobs of the future by partnering with industry to solve real problems.
  5. …and others

How are universities responding to generative AI? — from medium.com by Nic Newman
What’s next for higher education as we enter a new wave of edtech innovation: AI-powered learning

Where will AI make a big difference?
At Emerge, we have identified eight high-level trends — what we’re calling “engines of opportunity”. These eight “engines of opportunity” capture our ideas about how AI is being used to drive better practice and outcomes in HE, now and into the future.

They fall into two main categories:

  • Making learning more engaging: solutions that scale high quality pedagogy at low cost.
  • Making teaching more efficient: solutions that save educators and organisations time and money.

 

Tips on making professional-looking, engaging videos for online courses — from timeshighereducation.com by Geoff Fortescue
Making videos for online classes doesn’t have to be costly. Here are ways to make them look professional on a budget

During lockdown, we were forced to start producing videos for Moocs remotely. This was quite successful, and we continue to use these techniques whenever a contributor can’t come to the studio. The same principles can be used by anyone who doesn’t have access to a media production team. Here are our tips on producing educational videos on a budget.

 

Google hopes that this personalized AI -- called Notebook LM -- will help people with their note-taking, thinking, brainstorming, learning, and creating.

Google NotebookLM (experiment)

From DSC:
Google hopes that this personalized AI/app will help people with their note-taking, thinking, brainstorming, learning, and creating.

It reminds me of what Derek Bruff was just saying in regards to Top Hat’s Ace product being able to work with a much narrower set of information — i.e., a course — and to be almost like a personal learning assistant for the course you are taking. (As Derek mentions, this depends upon how extensively one uses the CMS/LMS in the first place.)

 

Syllabusters Are Outdated — from scholarlyteacher.com by Todd Zakrajsek

What does this all mean for the first day of class? Approach that first day with “learning-centered” in your mind. Focus on learning. Learning is all about curiosity and desire. Desire to know, to figure things out, to be surprised, all getting that dopamine flowing throughout the brain: That is what learning-centered is all about. An exam is best thought of as feedback, showing whether students are learning, not a date to cover on the first day and dread every class period in the meantime. An exam should never be the reason to learn, it should always be an indication of learning. Don’t spend your first 45 or 85 minutes focused solely on exams, term paper deadlines, and attendance policies. That moves teaching toward an artificial transactional arrangement where students learn in exchange for points and grades.

From DSC:
I would highly recommend starting out with a major HOOK. Some question, some video, some recording/piece of audio, etc. that would provoke interest, curiosity, or even some emotion. On that first day, the following item MUST be addressed if you expect to engage your students:

Why is this class/topic relevant?

Start with that. Immediately. The other stuff can be introduced later on, as Todd mentions.

 

 

More Chief Online Learning Officers Step Up to Senior Leadership Roles 
In 2024, I think we will see more Chief Online Learning Officers (COLOs) take on more significant roles and projects at institutions.

In recent years, we have seen many COLOs accept provost positions. The typical provost career path that runs up through the faculty ranks does not adequately prepare leaders for the digital transformation occurring in postsecondary education.

As we’ve seen with the professionalization of the COLO role, in general, these same leaders proved to be incredibly valuable during the pandemic due to their unique skills: part academic, part entrepreneur, part technologist, COLOs are unique in higher education. They sit at the epicenter of teaching, learning, technology, and sustainability. As institutions are evolving, look for more online and professional continuing leaders to take on more senior roles on campuses.

Julie Uranis, Senior Vice President, Online and Strategic Initiatives, UPCEA

 

Where a developing, new kind of learning ecosystem is likely headed [Christian]

From DSC:
As I’ve long stated on the Learning from the Living [Class]Room vision, we are heading toward a new AI-empowered learning platform — where humans play a critically important role in making this new learning ecosystem work.

Along these lines, I ran into this site out on X/Twitter. We’ll see how this unfolds, but it will be an interesting space to watch.

Project Chiron's vision: Our vision for education Every child will soon have a super-intelligent AI teacher by their side. We want to make sure they instill a love of learning in children.


From DSC:
This future learning platform will also focus on developing skills and competencies. Along those lines, see:

Scale for Skills-First — from the-job.beehiiv.com by Paul Fain
An ed-tech giant’s ambitious moves into digital credentialing and learner records.

A Digital Canvas for Skills
Instructure was a player in the skills and credentials space before its recent acquisition of Parchment, a digital transcript company. But that $800M move made many observers wonder if Instructure can develop digital records of skills that learners, colleges, and employers might actually use broadly.

Ultimately, he says, the CLR approach will allow students to bring these various learning types into a coherent format for employers.

Instructure seeks a leadership role in working with other organizations to establish common standards for credentials and learner records, to help create consistency. The company collaborates closely with 1EdTech. And last month it helped launch the 1EdTech TrustEd Microcredential Coalition, which aims to increase quality and trust in digital credentials.

Paul also links to 1EDTECH’s page regarding the Comprehensive Learning Record

 

What happens to teaching after Covid? — from chronicle.com by Beth McMurtrie

It’s an era many instructors would like to put behind them: black boxes on Zoom screens, muffled discussions behind masks, students struggling to stay engaged. But how much more challenging would teaching during the pandemic have been if colleges did not have experts on staff to help with the transition? On many campuses, teaching-center directors, instructional designers, educational technologists, and others worked alongside professors to explore learning-management systems, master video technology, and rethink what and how they teach.

A new book out this month, Higher Education Beyond Covid: New Teaching Paradigms and Promise, explores this period through the stories of campus teaching and learning centers. Their experiences reflect successes and failures, and what higher education could learn as it plans for the future.

Beth also mentioned/link to:


How to hold difficult discussions online — from chronicle.com by Beckie Supiano

As usual, our readers were full of suggestions. Kathryn Schild, the lead instructional designer in faculty development and instructional support at the University of Alaska at Anchorage, shared a guide she’s compiled on holding asynchronous discussions, which includes a section on difficult topics.

In an email, Schild also pulled out a few ideas she thought were particularly relevant to Le’s question, including:

  • Set the ground rules as a class. One way to do this is to share your draft rules in a collaborative document and ask students to annotate it and add suggestions.
  • Plan to hold fewer difficult discussions than in a face-to-face class, and work on quality over quantity. This could include multiweek discussions, where you spiral through the same issue with fresh perspectives as the class learns new approaches.
  • Start with relationship-building interactions in the first few weeks, such as introductions, low-stakes group assignments, or peer feedback, etc.
 

Sparking online joy: five ways to keep students engaged — from timeshighereducation.com by Andrés Ordorica, Marcello Crolla, and Lizzy Garner-Foy
Five guiding principles to use when designing and developing content for short online courses that will keep students engaged

Keeping students engaged is a big challenge and one that’s key to making a short online course successful. With a diverse audience, a variety of learning preferences and a multitude of distractions in the online space, how can you create a course that successfully retains students’ attention? Here, we explore five guiding principles for designing an online course that is engaging and enjoyable.

By offering bitesize learning, embracing variety and interactivity, infusing meaning into content, fostering a learning community and adhering to the “less is more” principle, you can create a course that captivates your audience and cultivates a lasting love for learning. 


Speaking of pedagogical-related items, also see:

 

Mark Zuckerberg: First Interview in the Metaverse | Lex Fridman Podcast #398


Photo-realistic avatars show future of Metaverse communication — from inavateonthenet.net

Mark Zuckerberg, CEO, Meta, took part in the first-ever Metaverse interview using photo-realistic virtual avatars, demonstrating the Metaverse’s capability for virtual communication.

Zuckerberg appeared on the Lex Fridman podcast, using scans of both Fridman and Zuckerberg to create realistic avatars instead of using a live video feed. A computer model of the avatar’s faces and bodies are put into a Codec, using a headset to send an encoded version of the avatar.

The interview explored the future of AI in the metaverse, as well as the Quest 3 headset and the future of humanity.


 

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.


Canva launches Magic Studio, partners with Runway ML for video — from bensbites.beehiiv.com by Ben Tossell

Here are the highlights of launched features under the new Magic Studio:

  • Magic Design – Turn ideas into designs instantly with AI-generated templates.
  • Magic Switch – Transform content into different formats and languages with one click.
  • Magic Grab – Make images editable like Canva templates for easy editing.
  • Magic Expand – Use AI to expand images beyond the original frame.
  • Magic Morph – Transform text and shapes with creative effects and prompts.
  • Magic Edit – Make complex image edits using simple text prompts.
  • Magic Media – Generate professional photos, videos and artworks from text prompts.
  • Magic Animate – Add animated transitions and motion to designs instantly.
  • Magic Write – Generate draft text and summaries powered by AI.



Adobe Firefly

Meet Adobe Firefly -- Adobe is going hard with the use of AI. This is a key product along those lines.


Addendums on 10/11/23:


Adobe Releases New AI Models Aimed at Improved Graphic Design — from bloomberg.com
New version of Firefly is bigger than initial tool, Adobe says Illustrator, Express programs each get own generative tools


 
© 2024 | Daniel Christian