AI starter tools for video content creation — from techthatmatters.beehiiv.com by Harsh Makadia

Excerpt:

One of the most exciting applications of AI is in the realm of content creation. What if I told you there are tools to generate videos in mins?

Try these tools today:

  • Supercreator AI: Create short form videos 10x faster
  • Lumen5: Automatically turn blog posts into videos
  • InVideo: Idea to YouTube video
  • Synthesia: Create videos from plain text in minutes
  • Narakeet: Get a professionally sounding audio or video in minutes
  • Movio: Create engaging video content
 

Why Faculty Must Learn to Swim in Other Waters — from insidehighered.com by Rachel Toor, professor of creative writing at Eastern Washington University in Spokane.

Excerpts:

Academics, even with the best intentions, and especially if we’ve never left school, don’t realize that we’re all swimming in our own little pond.

Most faculty members continue to teach how they were taught. We focus on our disciplines. We indoctrinate students into academic conventions and genres. We sling jargon like short-order cooks. We ask students to write 20-page research papers—the likes of which few professions would ever require.

But how often do faculty members require students to create final projects that will help them get a job?

How many professors are adept at writing a one-page job cover letter? Or a one-page résumé?

From DSC:
I appreciate these great thoughts here from Rachel Toor. Besides helping students learn about networking (and actually putting those skills into practice), applying their research skills to finding good job/organization fits, write effective cover letters, etc., I think such real-world skill development needs to be integrated into the very core of what they are teaching. It needs to be integrated into the curriculum. 
 

Does ‘Flipped Learning’ Work? A New Analysis Dives Into the Research — from edsurge.com by Jeffrey R. Young

Excerpt:

The researchers do think that flipped learning has merit — if it is done carefully. They end their paper by presenting a model of flipped learning they refer to as “fail, flip, fix and feed,” which they say applies the most effective aspects they learned from their analysis. Basically they argue that students should be challenged with a problem even if they can’t properly solve it because they haven’t learned the material yet, and then the failure to solve it will motivate them to watch the lecture looking for the necessary information. Then classroom time can be used to fix student misconceptions, with a mix of a short lecture and student activities. Finally, instructors assess the student work and give feedback.

From DSC:
Interesting. I think their “fail, flip, fix and feed” method makes sense.

Also, I do think there’s merit in presenting information ahead of time so that students can *control the pace* of listening/processing/absorbing what’s being relayed. (This is especially helpful for native language differences.) If flipped learning would have been a part of my college experience, it would have freed me from just being a scribe. I could have tried to actually process the information while in class.

 

Podcast Special: Using Generative AI in Education — from drphilippahardman.substack.com by Dr. Philippa Hardman
An exploration of the risks and benefits of Generative AI in education, in conversation with Mike Palmer

Excerpt:

Among other things, we discussed:

  • The immediate challenges that Generative AI presents for learning designers, educators and students.
  • The benefits & opportunities that Generative AI might offer the world of education, both in terms of productivity and pedagogy.
  • How bringing together the world of AI and the world of learning science, we might revolutionise the way we design and deliver learning experiences.

Speaking of podcasts, this article lists some podcasts to check out for those working in — or interested in — higher education.


Also relevant/see:

 


Also relevant/see:

Are librarians the next prompt engineers? — from linkedin.com by Laura Solomon

Excerpt:

  • Without the right prompt, AI fails to provide what someone might be looking for. This probably is a surprise to no one, especially librarians. If you remember the days before Google, you know exactly how this tended to play out. Google became dominant in large part to its inherent ability to accept natural language queries.
  • A small industry is now popping up to provide people with the correct, detailed prompts to get what they want when interacting with AI. The people doing this work are referred to as “prompt engineers.”
  • Prompt engineers aren’t just people who write queries to be directed to an AI. They also have tend to have a great deal of technical expertise and a deep understanding of how artificial intelligences and natural language can intersect.
  • Prompt engineers don’t work for free.

The above item links to The Most Important Job Skill of This Century — from theatlantic.com by Charlie Warzel
Your work future could depend on how well you can talk to AI. 


Also relevant/see:

My class required AI. Here’s what I’ve learned so far. — from oneusefulthing.substack.com by Ethan Mollick
(Spoiler alert: it has been very successful, but there are some lessons to be learned)

Excerpt:

I fully embraced AI for my classes this semester, requiring students to use AI tools in a number of ways. This policy attracted a lot of interest, and I thought it worthwhile to reflect on how it is going so far. The short answer is: great! But I have learned some early lessons that I think are worth passing on.

AI is everywhere already
Even if I didn’t embrace AI, it is also clear that AI is now everywhere in classes. For example, students used it to help them come up with ideas for class projects, even before I even taught them how to do that. As a result, the projects this semester are much better than previous pre-AI classes. This has led to greater project success rates and more engaged teams. On the downside, I find students also raise their hands to ask questions less. I suspect this might be because, as one of them told me, they can later ask ChatGPT to explain things they didn’t get without needing to speak in front of the class. The world of teaching is now more complicated in ways that are exciting, as well as a bit unnerving.

 

Why Are Students So Disengaged? — from insidehighered.com by Johanna Alonso
A new survey by Wiley finds that one-fourth of students said they would be more invested in their courses if they learned in a way that emulated their future careers.

Excerpt:

Undergraduate students are struggling to stay engaged in class—and they believe that material more directly connected to real-life issues could help solve the problem.

That’s a key finding of the recent State of the Student 2022 survey by the academic publishing company Wiley, which noted that 55 percent of undergraduate and 38 percent of graduate students said they struggle to remain interested in their classes. The same proportion of undergraduates and 34 percent of graduate students also said they have trouble retaining the material they learn.

The survey of 5,258 students and 2,452 instructors in North America was conducted in August 2022 and sought to understand the factors that most impact student success, as well as what factors instructors perceive as the most impactful.

 

What can work colleges teach the rest of higher ed? — from highereddive.com by Laura Spitalniak
Amid high worries about higher ed’s value in the job market, work colleges offer lessons on integrating classroom learning with employment opportunities.

Excerpt:

To qualify as a work college, an institution must be nonprofit, offer four-year degrees and provide students with employment through a work-learning-service program that will contribute to their education.

It found work colleges’ strengths — reduced or free tuition, job experience and mentorship from college faculty and staff — address student concerns over the cost and real-world applicability of a college degree. Work colleges can also make adult learners’ lives logistically easier by combining academics and work, the report found.

The intentional connection of learning, work and service is the most compelling part of the model, according to Louis Soares, chief learning and innovation officer at ACE and one of the report’s authors.

 

 

Introducing: ChatGPT Edu-Mega-Prompts — from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource
How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator

From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information. 

Excerpts:

The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).

The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.

As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.

For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.

Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:


Also relevant/see:

3 trends that may unlock AI's potential for Learning and Development in 2023

3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo

Excerpts:

AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.

Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:

1. IDs will be doing more curation and less creation:

  • Many IDs will start pulling raw material from content generators (built using natural language processing platforms like Open AI’s GPT-3, Microsoft’s LUIS, IBM’s Watson, Google’s BERT, etc.) to obtain ideas and drafts that they can then clean up and add to the assets they are assembling. As technology advances, the output from these platforms will be more suitable to become final drafts, and the curation and clean-up tasks will be faster and easier.
  • Then, the designer can leverage a solution like DALL-E 2 (or a product developed based on it) to obtain visuals that can (or not) be modified with programs like Illustrator or Photoshop (see image below for Dall-E’s “Cubist interpretation of AI and brain science.”

2. IDs will spend less, and in some cases no time at all, creating learning pathways

AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.

 


The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons

Excerpts:

Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.

A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?

This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.


Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule

Excerpts:

Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.

Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.

Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.

From DSC:
Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.

Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz

Excerpt:

Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.


 

Best Document Cameras for Teachers — from techlearning.com by Luke Edwards
Get the best document camera for teachers to make the classroom more digitally immersive

Along the lines of edtech, also see:

Tech & Learning Names Winners of the Best of 2022 Awards — from techlearning.com by TL Editors
This annual award celebrates recognizing the very best in EdTech from 2022

.
The Tech & Learning Awards of Excellence: Best of 2022 celebrate educational technology from the last 12 months that has excelled in supporting teachers, students, and education professionals in the classroom, for professional development, or general management of education resources and learning. Nominated products are divided into three categories: Primary, Secondary, or Higher Education.

 

Educator considerations for ChatGPT — from platform.openai.com; with thanks to Anna Mills for this resource

Excerpt:

Streamlined and personalized teaching
Some examples of how we’ve seen educators exploring how to teach and learn with tools like ChatGPT:

  • Drafting and brainstorming for lesson plans and other activities
  • Help with design of quiz questions or other exercises
  • Experimenting with custom tutoring tools
  • Customizing materials for different preferences (simplifying language, adjusting to different reading levels, creating tailored activities for different interests)
  • Providing grammatical or structural feedback on portions of writing
  • Use in upskilling activities in areas like writing and coding (debugging code, revising writing, asking for explanations)
  • Critique AI generated text

While several of the above draw on ChatGPT’s potential to be explored as a tool for personalization, there are risks associated with such personalization as well, including student privacy, biased treatment, and development of unhealthy habits. Before students use tools that offer these services without direct supervision, they and their educators should understand the limitations of the tools outlined below.

Also relevant/see:

Excerpt (emphasis DSC):
David Wiley wrote a thoughtful post on the ways in which AI and Large Language Models (LLMs) can “provide instructional designers with first drafts of some of the work they do.” He says “imagine you’re an instructional designer who’s been paired with a faculty member to create a course in microeconomics. These tools might help you quickly create first drafts of” learning outcomes, discussion prompts, rubrics, and formative assessment items.  The point is that LLMs can quickly generate rough drafts that are mostly accurate drafts, that humans can then “review, augment, and polish,” potentially shifting the work of instructional designers from authors to editors. The post is well worth your time.

The question that I’d like to spend some time thinking about is the following: What new knowledge, capacities, and skills do  instructional designers need in their role as editors and users of LLMs?

This resonated with me. Instructional Designer positions are starting to require AI and ML chops. I’m introducing my grad students to AI and ChatGPT this semester. I have an assignment based on it.

(This ain’t your father’s instructional design…)

Robert Gibson


 

Take Your Words From Lecture to Page — from chronicle.com by Rachel Toor
What compelling lecturers do, and how their techniques can translate to good writing.

Excerpts:

Thing is, many of the moves that the best lecturers make on the stage can translate to the page and help you draw in readers. That is especially important in writing textbooks and other work for general readers. If you can bring the parts of yourself that work in the classroom to the prose, you will delight readers as much as you do your students.

Narrative can be key. Data and research aren’t enough in either the classroom or on the page. People like to be told stories. If you want to be persuasive in both realms, use narrative to make arguments. Don’t forget that much scholarly work is really a quest. What journey can you take a reader on?

It’s a performance on the page, too. A great lecture is a performance. So is great writing.

Raise real questions the reader will want answers to. 

 

ChatGPT can’t be credited as an author, says world’s largest academic publisher — from theverge.com by James Vincent; with thanks to Robert Gibson on LinkedIn for the resource
But Springer Nature, which publishes thousands of scientific journals, says it has no problem with AI being used to help write research — as long as its use is properly disclosed.

Excerpt:

Springer Nature, the world’s largest academic publisher, has clarified its policies on the use of AI writing tools in scientific papers. The company announced this week that software like ChatGPT can’t be credited as an author in papers published in its thousands of journals. However, Springer says it has no problem with scientists using AI to help write or generate ideas for research, as long as this contribution is properly disclosed by the authors.


On somewhat-related notes:

Uplevel your prompt craft in ChatGPT with the CREATE framework — from edte.ch by Tom Barrett

Excerpt:

The acronym “CREATE” is a helpful guide for crafting high-quality prompts for AI tools. Each letter represents an important step in the process.

The first four CREA are all part of prompt writing, where TE, the final two are a cycle of reviewing and editing your prompts.

Let’s look at each in more detail, with some examples from ChatGPT to help.

BuzzFeed to Use ChatGPT Creator OpenAI to Help Create Quizzes and Other Content — from wsj.com by Alexandra Bruell (behind paywall)
CEO Jonah Peretti intends for artificial intelligence to play a larger role in the company this year


 

Retrieval Practice, Scaffolding, and the Socratic Method — from scholarlyteacher.com by Todd Zakrajsek
Revisit the Socratic method by using it to enact retrieval practice and scaffolding in courses and refresh thinking about applying recommendations from the Scholarship of Teaching and Learning (SOTL)

Excerpt:

When students think they know course material because they have collected reams and reams of information, retrieval practice, much like Socratic questioning, forces students to stop, think, reflect, and reconsider. It meets students where they are (e.g., overwhelmed with information), encourages effortful struggle associated with learning (e.g., presents a desirable difficulty), and offers the discipline of practice (or, perhaps, the practice of discipline). The goal of retrieval practice, getting information out, reflects the goal of so many of Socrates’s questions, to make his interlocutors give an account of and become more aware of their thinking.

When faculty chunk up material, assist students as they move through Bloom’s taxonomy, model approaches to help students get started and maintain momentum, make the student an active participant in developing and reflecting on knowledge, they are incorporating key elements of some of the most important recommendations from the Scholarship of Teaching and Learning. All these techniques help students build or generate knowledge.

 

From DSC:
Let’s put together a nationwide campaign that would provide a website — or a series of websites if an agreement can’t be reached amongst the individual states — about learning how to learn. In business, there’s a “direct-to-consumer” approach. Well, we could provide a “direct-to-learner” approach — from cradle to grave. Seeing as how everyone is now required to be a lifelong learner, such a campaign would have enormous benefits to all of the United States. This campaign would be located in airports, subway stations, train stations, on billboards along major highways, in libraries, and in many more locations.

We could focus on things such as:

  • Quizzing yourself / retrieval practice
  • Spaced retrieval
  • Interleaving
  • Elaboration
  • Chunking
  • Cognitive load
  • Learning by doing (active learning)
  • Journaling
  • The growth mindset
  • Metacognition (thinking about one’s thinking)
  • Highlighting doesn’t equal learning
  • There is deeper learning in the struggle
  • …and more.

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

 

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more


NOTE:
The URL I’m using above doesn’t exist, at least not at the time of this posting.
But I’m proposing that it should exist.


A group of institutions, organizations, and individuals could contribute to this. For example The Learning Scientists, Daniel Willingham, Donald Clark, James Lang, Derek Bruff, The Learning Agency Lab, Robert Talbert, Pooja Agarwal and Patrice Bain, Eva Keffenheim, Benedict Carey, Ken Bain, and many others.

Perhaps there could be:

  • discussion forums to provide for social interaction/learning
  • scheduled/upcoming webinars
  • how to apply the latest evidence-based research in the classroom
  • link(s) to learning-related platforms and/or resources
 

Some example components of a learning ecosystem [Christian]

A learning ecosystem is composed of people, tools, technologies, content, processes, culture, strategies, and any other resource that helps one learn. Learning ecosystems can be at an individual level as well as at an organizational level.

Some example components:

  • Subject Matter Experts (SMEs) such as faculty, staff, teachers, trainers, parents, coaches, directors, and others
  • Fellow employees
  • L&D/Training professionals
  • Managers
  • Instructional Designers
  • Librarians
  • Consultants
  • Types of learning
    • Active learning
    • Adult learning
    • PreK-12 education
    • Training/corporate learning
    • Vocational learning
    • Experiential learning
    • Competency-based learning
    • Self-directed learning (i.e., heutagogy)
    • Mobile learning
    • Online learning
    • Face-to-face-based learning
    • Hybrid/blended learning
    • Hyflex-based learning
    • Game-based learning
    • XR-based learning (AR, MR, and VR)
    • Informal learning
    • Formal learning
    • Lifelong learning
    • Microlearning
    • Personalized/customized learning
    • Play-based learning
  • Cloud-based learning apps
  • Coaching & mentoring
  • Peer feedback
  • Job aids/performance tools and other on-demand content
  • Websites
  • Conferences
  • Professional development
  • Professional organizations
  • Social networking
  • Social media – Twitter, LinkedIn, Facebook/Meta, other
  • Communities of practice
  • Artificial Intelligence (AI) — including ChatGPT, learning agents, learner profiles, 
  • LMS/CMS/Learning Experience Platforms
  • Tutorials
  • Videos — including on YouTube, Vimeo, other
  • Job-aids
  • E-learning-based resources
  • Books, digital textbooks, journals, and manuals
  • Enterprise social networks/tools
  • RSS feeds and blogging
  • Podcasts/vodcasts
  • Videoconferencing/audio-conferencing/virtual meetings
  • Capturing and sharing content
  • Tagging/rating/curating content
  • Decision support tools
  • Getting feedback
  • Webinars
  • In-person workshops
  • Discussion boards/forums
  • Chat/IM
  • VOIP
  • Online-based resources (periodicals, journals, magazines, newspapers, and others)
  • Learning spaces
  • Learning hubs
  • Learning preferences
  • Learning theories
  • Microschools
  • MOOCs
  • Open courseware
  • Portals
  • Wikis
  • Wikipedia
  • Slideshare
  • TED talks
  • …and many more components.

These people, tools, technologies, etc. are constantly morphing — as well as coming and going in and out of our lives.

 

 

Hard Truths That Higher Education Has Evaded for Too Long — from insidehighered.com by Steven Mintz
The brutal truths that institutions don’t want to acknowledge.

If we want to make higher education truly equitable and produce the learning outcomes that we claim to seek, then we must confront painful truths no matter how uncomfortable they make us.

Preaching to, and Challenging, the Liberal Arts Choir — from insidehighered.com by Doug Lederman
In a conversation with presidents of small private colleges, tech company executives praise graduates’ leadership and critical thinking ability but say they need to develop skills for a first job, too.

Excerpt:

In that more competitive landscape, Ferrick and others said, colleges should think in terms of “both-and”—delivering a four-year degree grounded in the liberal arts that remains the best preparation for a lifetime career, yes, but also building into their curricula more practical digital and other skills that can help graduates compete for a first job.

The Edge: Momentum Builds for ‘Credential as You Go’ — from chronicle.com by Goldie Blumenstyk

Excerpt:

A higher-ed credential system that’s ‘not all about degrees.’
Holly Zanville has a clear goal for the Credential as You Go initiative she co-leads: Shift the entire “degree-centric” model of postsecondary education to make it easier for people to develop skills and knowledge in shorter chunks while recognizing “meaningful learning along the way.”

Whatever you think of its prospects, you can hardly fault the effort for a lack of ambition.

Ideally, students will layer incremental credentials over a lifetime of learning.

Goldie Blumenstyk

Issue #11: Navigating the credential maze — from theview.substack.com by Gordon Macrae
Running to stand still.

Excerpt:

The credentials market for degree and non-degree programs is… complex.

A recent report from the non-profit Credential Engine identified 1,076,358 different credentials – from specialized certificates to bachelor’s degrees to PhDs.

Credential Engine started producing these reports in 2018. Back then there were “just” 334,114 credentials. In the last four years, the number of certifications has more than trebled. And from 2021 to 2022, there’s been a 38% increase in providers issuing certificates.

.

When you eyeball the largest higher ed institutions by enrollment comparing 2012 to today, it’s pretty clear that online degrees have driven – essentially – ALL of the growth.

Brandon Busteed commenting on Phil Hill’s posting (also listed below)

.

Fall 2021 Largest Institutions by Total Enrollment and DE Type — from philonedtech.com by Phil Hill

Excerpt:

Based on reader request after yesterday’s post, I’d like to share another view of largest US higher education institutions, this one ranked by total enrollment with color coding of distance education (DE) type. This chart combines undergrad and grad student enrollments.

Mental Health Is the Top Student Stressor — from insidehighered.com by Johanna Alonso

Excerpt:

Fifty percent of college students cited their own mental health struggles as their top stressor going into 2023, according to a survey of 1,200 students nationwide conducted by the virtual health services provider TimelyMD. Thirty-nine percent of respondents said they were most concerned about their personal finances, and 37 percent named academics, while mass shootings and inflation were each cited by 35 percent.

 
© 2024 | Daniel Christian