Meet MathGPT: a Chatbot Tutor Built Specific to a Math Textbook — from thejournal.com by Kristal Kuykendall

Excerpt:

Micro-tutoring platform PhotoStudy has unveiled a new chatbot built on OpenAI’s ChatGPT APIs that can teach a complete elementary algebra textbook with “extremely high accuracy,” the company said.

“Textbook publishers and teachers can now transform their textbooks and teaching with a ChatGPT-like assistant that can teach all the material in a textbook, assess student progress, provide personalized help in weaker areas, generate quizzes with support for text, images, audio, and ultimately a student customized avatar for video interaction,” PhotoStudy said in its news release.

Some sample questions the MathGPT tool can answer:

    • “I don’t know how to solve a linear equation…”
    • “I have no idea what’s going on in class but we are doing Chapter 2. Can we start at the top?”
    • “Can you help me understand how to solve this mixture of coins problem?”
    • “I need to practice for my midterm tomorrow, through Chapter 6. Help.”
 

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


 

Unbundled: Designing Personalized Pathways for Every Learner — from gettingsmart.com by Nate McClennen “with contributions from the Getting Smart team and numerous friends and partners in the field”

Excerpts:

In this publication, we articulate the critical steps needed to unbundle the learning ecosystem, build core competencies, design learning experiences, curate new opportunities, and rebundle these experiences into coherent pathways.
.

Building the Unbundled Ecosystem

Vision

Every learner deserves an unlimited number of unbundled opportunities to explore, engage, and define experiences that advance their progress along a co-designed educational pathway. Each pathway provides equitable and personalized access to stacked learning experiences leading to post-secondary credentials and secure family-sustaining employment. Throughout the journey, supportive coaches focus on helping learners build skills to navigate with agency. In parallel, learners develop foundational skills (literacy, math), technical skills, and durable skills and connect these to challenging co-designed experiences. The breadth and depth of experiences increase over time, and, in partnership, learners and coaches map progress towards reaching community-defined goals. This vision is only enabled by an unbundled learning ecosystem.

Recommendations

Solutions already exist in the ecosystem and need to be combined and scaled. Funding models (like My Tech High), badging/credentialing at the competency level (like VLACS), coaching models (like Big Thought), and open ecosystems (like NH Learn Everywhere) provide an excellent foundation. Thus, building unbundled systems has already begun but needs systemic changes to become widely available and accepted.

      1. Build a robust competency-based system.
      2. Create a two-way marketplace for unbundled learning.
      3. Implement policy to support credit for out-of-system experiences.
      4. Invest in technology infrastructure for Learning and Employment Records.
      5. Design interoperable badging systems that connect to credentials.
 

How edtech companies should create and empower lifelong learners — from chieflearningofficer.com by Oleg Vilchinski

Excerpt:

Now is the ideal time for a flexible and competent market leader to emerge and seize this opportunity, delivering personalized and lifelong educational solutions and experiences that meet the needs of a learning-hungry populace.

Edtech businesses can address this widening skills gap and need for frequent job-switching through those same data-driven ecosystems, which can support the user through their career and leisure activities. For example, a user could sync their profile with their work’s employee portal to receive further professional development. Simultaneously, the technology would support the user during their spare time as they take courses or watch video content ranging from Adobe InDesign to gardening, further refining their skills. And, when it comes time to retire, the user’s trusted ecosystem has a backlog of data to recommend applicable hobbies and community events.

For example, a user could sync their profile with their work’s employee portal to receive further professional development.

 

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.

 

 

Unschooler: Your AI Vocational Mentor — from techacute.com by Gabriel Scharffenorth

Excerpt (emphasis DSC):

AI to help realize your dream career
The Unschooler mentor helps you understand what you need to do to achieve your dream career. You can select one of six broad areas of expertise: science, people, tech, info, art, and business. The platform will then ask questions related to your future career.

It also has some other useful features. Unschooler keeps track of your skills by adding them to a skill map that’s unique to you. You can also ask it to expand on the information it has already given you. This is done by selecting the text and clicking one of four buttons: more, example, how to, explain, and a question mark icon that defines the selected text. There’s also a mobile app that analyzes text from pictures and explains tasks or concepts.

From DSC:
This integration of AI is part of the vision that I’ve been tracking at:

Learning from the living class room -- a vision that continues to develop, where the pieces are coming into place

Learning from the living [class] room
A vision that continues to develop, where the pieces are finally coming into place!

 

Education is about to radically change: AI for the masses — from gettingsmart.com by Nate McClennen and Rachelle Dené Poth

Key Points:

  • AI already does and will continue to impact education – along with every other sector.
  • Innovative education leaders have an opportunity to build the foundation for the most personalized learning system we have ever seen.

Action

Education leaders need to consider these possible futures now. There is no doubt that K-12 and higher ed learners will be using these tools immediately. It is not a question of preventing “AI plagiarism” (if such a thing could exist), but a question of how to modify teaching to take advantage of these new tools.

From DSC:
They go on to list some solid ideas and experiments to try out — both for students and for teachers. Thanks Nate and Rachelle!


Also from Rachelle, see:


 

Accelerated Learning — Schools’ Answer for ‘Learning Loss’ — Hits Some Speed Bumps — from edsurge.com by Nadia Tamez-Robledo

The main finding? Accelerated learning simply requires more. More staff, more resources, more energy, more buy-in from teachers.

As district leaders talked about their day-to-day realities, they shared how those things were all tough to come by when everyone in the system was already stretched thin.

Not necessarily related to the above item, but I wanted to pass this one along to you as well:

QAA Report on Badging and Micro-Credentialing: How Education and Employment Can Benefit from Using Skills Profiles  — from gettingsmart.com by Rupert Ward

Key Points

  • Skills profiles make it easier for educators and employers to understand how skills gained in learning can be transferred to those required in earning.
  • This QAA Collaborative Enhancement Project Report demonstrates both how badges and microcredentials can be incorporated into a range of higher education courses and, through doing this, how we can ultimately personalise learning and earning.
 

What does the ‘metaverse’ mean for education? — from hechingerreport.org by Javeria Salman
Experts warn educators to think twice before jumping on new technologies

Excerpt:

Sometime in the past year or two, you’ve likely heard the word “metaverse.” It’s the future, the next big frontier of the internet, if you ask technology CEOs or researchers.

While the term has become the latest buzzword in education circles, what it means for teaching and learning largely remains to be seen. Experts say much of what we see marketed as the metaverse from education technology companies isn’t actually the metaverse.

In a true metaverse experience, your digital identity travels between the physical and virtual worlds, Platt said. With the help of blockchain technology, that identity — your preferences, your achievements, your educational records, other elements of who you are — is maintained across platforms and applications.

 

New Mexico College Publishes Report to Advance a National Learning and Employment Record for Skills-based Credentialing and Hiring — from prnewswire.com by Central New Mexico Community College

Excerpt (emphasis DSC):

ALBUQUERQUE, N.M.Oct. 11, 2022 /PRNewswire/ — In the current job market, applicants are usually asked to provide a broad résumé that lists the basics of their qualifications including college degrees and past work experience. It’s an outdated and inefficient system and one that Central New Mexico Community College (CNM) is now helping to improve.

Thanks to a grant from Walmart, CNM produced a comprehensive report that researches several independent efforts underway in order to build a model for creating a national Learner and Employment Records (LER) infrastructure. An LER enables the exchange of skills-based digital records that facilitate more efficient pathways from learning to earning.

An LER is more efficient and secure for both employers and job-seekers because it uses blockchain technology to provide security, trust, and transparency.

From DSC:
I still am learning about how secure blockchain-based applications are — or aren’t. But this idea of a Learner and Employment Record — which I’ve referred to on this blog as a “cloud-based learner profile” — seems to hold a lot of potential as we move into the future. Especially when the focus is increasingly on which skills a position needs and which skills an individual has.

I have used the term cloud-based learner profiles instead of LERs but the idea is the same

 

What might the ramifications be for text-to-everything? [Christian]

From DSC:

  • We can now type in text to get graphics and artwork.
  • We can now type in text to get videos.
  • There are several tools to give us transcripts of what was said during a presentation.
  • We can search videos for spoken words and/or for words listed within slides within a presentation.

Allie Miller’s posting on LinkedIn (see below) pointed these things out as well — along with several other things.



This raises some ideas/questions for me:

  • What might the ramifications be in our learning ecosystems for these types of functionalities? What affordances are forthcoming? For example, a teacher, professor, or trainer could quickly produce several types of media from the same presentation.
  • What’s said in a videoconference or a webinar can already be captured, translated, and transcribed.
  • Or what’s said in a virtual courtroom, or in a telehealth-based appointment. Or perhaps, what we currently think of as a smart/connected TV will give us these functionalities as well.
  • How might this type of thing impact storytelling?
  • Will this help someone who prefers to soak in information via the spoken word, or via a podcast, or via a video?
  • What does this mean for Augmented Reality (AR), Mixed Reality (MR), and/or Virtual Reality (VR) types of devices?
  • Will this kind of thing be standard in the next version of the Internet (Web3)?
  • Will this help people with special needs — and way beyond accessibility-related needs?
  • Will data be next (instead of typing in text)?

Hmmm….interesting times ahead.

 

The next chapter for Learning on YouTube — from blog.youtube by Jonathan Katzman

Next year, qualified creators can begin offering free or paid Courses to provide in-depth, structured learning experiences for viewers. Viewers who choose to buy a Course can watch the video ad-free and play it in the background.

…to help learners apply what they’ve learned, we’re introducing Quizzes — a new way for creators to help viewers test their knowledge.”

.

 

How Alternative Credentials Can Help You Find Employees — from shrm.org by Kathryn Tyler
Focus on skills, not degrees, to increase your talent pool.

Excerpts:

“Alternative credentials,” such as the ones Brown attained, are increasingly available in the form of micro-credentials, digital badges and industry-recognized certificates. They’re less expensive than a college degree and designed to help prepare workers for better jobs.

IBM is ahead of the game in many respects. Six years ago, the tech giant began revising its job descriptions to focus on skills and not just educational attainment. On average, 50 percent of the company’s posted positions in the U.S. don’t require a bachelor’s degree.

“We call these ‘new-collar jobs,’ and they’re aligned to careers that require the right set of skills and a commitment to lifelong learning,” says Tommy Wenzlau, talent leader for new-collar initiatives at IBM, which employs more than 250,000 workers globally. “New-collar roles are in some of technology’s fastest-growing fields, including data science, cloud computing, application development, cybersecurity and digital design.”

 

From DSC:
Below are several observations re: our learning ecosystems — and some ideas on how we can continue to improve them.


It takes years to build up the knowledge and skills in order to be a solid teacher, faculty member, instructional designer, and/or trainer. It takes a lot of studying to effectively research how the brain works and how we learn. Then we retire…and the knowledge is often lost or not passed along. And the wheel gets reinvented all over again. And again. And again.

Along these lines — and though we’re making progress in this area — too often we separate the research from the practical application of that research. So we have folks working primarily in learning science, neuroscience, cognitive psychology, and related fields. But their research doesn’t always get practically applied within our learning spaces. We have researchers…and then we have practitioners. So I greatly appreciate the likes of Pooja Agarwal and Patrice Bain out at RetrievalPractice.org, Daniel Willingham, Eva Keiffenheim, The Learning Scientists, James Lang, and several others who bridge this gap.

We need to take more of the research from learning science and apply it in our learning spaces.

Perhaps more researchers, faculty members, teachers, trainers, instructional designers, principals, provosts, etc. could blog or be active out on social media.

***

Along these lines, we need to spend more time helping people know how best to study and to learn.
If that type of thing is ever to be learned, it seems like it’s often learned or discussed in the mid- to later years of one’s life…often after one’s primary and secondary days are long gone.

Instead, we should consider putting these easy-to-understand posters from the Learning Scientists in every K-12 school, college, and university in the nation — or something like them.

***

To provide the most effective engaging learning experiences, we should consider using more team-based approaches. As appropriate, that could include the students themselves.

***

We put way too much emphasis on grades — which produces gameplayers who seek only to do the minimum amount of work necessary to get the A’s.  Doing so creates systems whereby learning is not the goal — getting a 4.0+ is.

***
As we are now required to be lifelong learners, our quality of life as a whole goes waaaay up if we actually enjoy learning.  Many people discover later in life that they like to learn…they just didn’t like school. Perhaps we could place greater emphasis within K-16 on whether students enjoyed their learning experiences or not. And if not, what might have made that topic more enjoyable to them? Or what other topics would they like to dive into (that weren’t’ on the original learning menu)?

This could also apply in the corporate training/L&D space as well. Such efforts could go a long way in helping establish stronger learning cultures.

***

We don’t provide enough choice to our students. We need to do a better job of turning over more control to them in their learning journey. We turn students off to learning because we try to cram information that they don’t care about down their throats. So then we have to use the currency of grades to force them into doing the work that they could care less about doing. Their experience with learning/school can easily get soured.

Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

We need to be more responsive with our curricula. And we need to explain how the information we’re trying to relay is relevant in the real world and will be relevant in their futures.

***

So those are some ideas that I wanted to relay. Thanks for your time and for your shared interests here!

 

From DSC:
An AI-backed platform will constantly search all job postings and present the most desired skills in the marketplace and then how to get those skills. The providers will be individuals, organizations, training providers, traditional institutions of higher education, vendors and more.

Depending upon what happens with blockchain — and if a much more energy-efficient/environmentally-friendly solution can be implemented — blockchain may be a part of that equation.

 
© 2024 | Daniel Christian