personalized/customized learning

Also relevant/see:

Learning Designers will have to adapt or die. 10 ways to UPSKILL to AI…. — from donaldclarkplanb.blogspot.com by Donald Clark

From Ethan Mollick on LinkedIn:

Take a look at this simulated negotiation, with grading and feedback. Prompt: “I want to do deliberate practice about how to conduct negotiations. You will be my negotiation teacher. You will simulate a detailed scenario in which I have to engage in a negotiation. You will fill the role of one party, I will fill the role of the other. You will ask for my response to in each step of the scenario and wait until you receive it. After getting my response, you will give me details of what the other party does and says. You will grade my response and give me detailed feedback about what to do better using the science of negotiation. You will give me a harder scenario if I do well, and an easier one if I fail.”

Samples from Bing Creative mode and ChatGPT-4 (3.5, the free version, does not work as well)

I’m having a blast with ChatGPT – it’s testing ME! — from by Mark Mrohs
Using ChatGPT as an agent for asynchronous active learning

I have been experimenting with possible ways to incorporate interactions with ChatGPT into instruction. And I’m blown away. I want to show you some of what I’ve come up with.

A Spotify model of personalised higher education — from timeshighereducation.com by Michael Rosemann and Martin Betts
With technology offering greater potential for a personalised approach to higher education, Michael Rosemann and Martin Betts look at what universities can learn from the ubiquitous music platform Spotify

Excerpts (emphasis DSC):

Selection, or the P(upil)-route as educationalist Dan Buckley calls it, means personalisation driven by the learner. This is the fastest-moving form of personalised learning. Not only do students benefit from true omnichannel education – choosing between face to face and online – they also independently navigate the internet’s resources and online databases in search of the knowledge that will help them to achieve their learning targets.
…
Automation, or the A-route, is the new enabler of personalised learning. As with personalised medicine, finance or entertainment, education is starting to use digital technologies to unlock new models of tailored engagement. While for most universities, AI-driven, personalised education is not an option as the required capabilities are missing and significant investments would be necessary, there is a range of alternative forms of automated personalised learning. For this, we look to providers outside the sector for inspiration.

Here are Spotify-inspired ideas that universities ambitious enough to provide personalised learning could explore.

From DSC:
Rosemann & Betts use the term “omnichannel education” — I like that term. Very nice.

Major announcements from a key vendor in the AI space — NVIDIA

On 03/21/2023, in 21st century, 24x7x365 access, 3D, A/V -- audio/visual, art, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, cloud-based computing / apps / other cloud-related, collaboration, content development, aggregation, repositories, corporate / business world, creativity, design, emerging technologies, engineering, entrepreneurship, Facebook / Meta Platforms, future, game-changing environment, generational differences, Holographic comms, human-computer interaction (HCI), immersion, innovation, intelligent systems, intelligent tutoring, IT in HE, languages and translation, media/film, Metaverse, multimedia, Natural Language Processing (NLP), new business models, NVIDIA, online media, pace of change, personalized/customized learning, platforms, society, technology (general), tools, United States, user experience (UX), vendors, Virtual courts and law firms, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, visualizing information, web-based collaboration, Web3, workplace, by Daniel Christian

Explore Breakthroughs in AI, Accelerated Computing, and Beyond at GTC — from nvidia.com
The Conference for the Era of AI and the Metaverse

Addendums on 3/22/23:

Generative AI for Enterprises — from nvidia.com
Custom-built for a new era of innovation and automation.

Excerpt:

Impacting virtually every industry, generative AI unlocks a new frontier of opportunities—for knowledge and creative workers—to solve today’s most important challenges. NVIDIA is powering generative AI through an impressive suite of cloud services, pre-trained foundation models, as well as cutting-edge frameworks, optimized inference engines, and APIs to bring intelligence to your enterprise applications.

NVIDIA AI Foundations is a set of cloud services that advance enterprise-level generative AI and enable customization across use cases in areas such as text (NVIDIA NeMo™), visual content (NVIDIA Picasso), and biology (NVIDIA BioNeMo™). Unleash the full potential with NeMo, Picasso, and BioNeMo cloud services, powered by NVIDIA DGX™ Cloud—the AI supercomputer.

ChatGPT could be an effective and affordable tutor [Trumbore]

On 03/18/2023, in digital learning, education, education technology, innovation, instructional design, intelligent systems, intelligent tutoring, personalized/customized learning, student teaching/teacher education, student-related, teachers, teaching & learning, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

ChatGPT could be an effective and affordable tutor — from theconversation-com.cdn.ampproject.org by Anne Trumbore

Excerpt:

Yet the history and research of intelligent tutors show that using the right design to harness the power of chatbots like ChatGPT can make deeper, individualized learning available to almost anyone. For example, if people use ChatGPT to ask students questions that prompt them to revise or explain their work, students will have better learning gains. Since ChatGPT has access to far more knowledge than Aristotle ever did, it has great potential for providing tutoring to students to help them learn more than they would otherwise.

ChatGPT as a teaching tool, not a cheating tool [Rose]

On 03/14/2023, in 21st century, 24x7x365 access, adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, digital learning, education technology, emerging technologies, experimentation, faculty, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, IT in HE, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, liberal arts, pedagogy, personalized/customized learning, platforms, productivity / tips and tricks, professional development, teaching & learning, tools, UK, United States, universities, by Daniel Christian

ChatGPT as a teaching tool, not a cheating tool — from timeshighereducation.com by Jennifer Rose
How to use ChatGPT as a tool to spur students’ inner feedback and thus aid their learning and skills development

Excerpt:

Use ChatGPT to spur student’s inner feedback
One way that ChatGPT answers can be used in class is by asking students to compare what they have written with a ChatGPT answer. This draws on David Nicol’s work on making inner feedback explicit and using comparative judgement. His work demonstrates that in writing down answers to comparative questions students can produce high-quality feedback for themselves which is instant and actionable. Applying this to a ChatGPT answer, the following questions could be used:

Which is better, the ChatGPT response or yours? Why?
What two points can you learn from the ChatGPT response that will help you improve your work?
What can you add from your answer to improve the ChatGPT answer?
How could the assignment question set be improved to allow the student to demonstrate higher-order skills such as critical thinking?
How can you use what you have learned to stay ahead of AI and produce higher-quality work than ChatGPT?

5 Ideas To Incorporate AI In Your eLearning Course — from elearningindustry.com by Christopher Pappas

Summary:

Artificial Intelligence is now taking the world of learning by storm. Here are 5 ways you can successfully incorporate AI in online learning.

Let’s say you’re training sales reps on handling different customer personalities. You can use this technology to diversify your branching scenarios so that trainees can also speak and not only type. This way, not only will the training become more realistic, but you’ll also be able to assess and work on additional elements, such as tone of voice, volume, speech tempo, etc.

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT [Bayer]

On 03/06/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, digital learning, education, education technology, emerging technologies, engagement / engaging students, experimentation, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, K-12 related, languages and translation, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, more voice more choice more control, participation, personalized/customized learning, platforms, productivity / tips and tricks, story, storytelling, student-related, teachers, teaching & learning, tools, vendors, virtual tutoring, vision/possibilities, by Daniel Christian

Introducing Q-Chat, the world’s first AI tutor built with OpenAI’s ChatGPT — from quizlet.com by Lex Bayer

Excerpt:

Modeled on research demonstrating that the most effective form of learning is one-on-one tutoring1, Q-Chat offers students the experience of interacting with a personal AI tutor in an effective and conversational way. Whether they’re learning French vocabulary or Roman History, Q-Chat engages students with adaptive questions based on relevant study materials delivered through a fun chat experience. Pulling from Quizlet’s massive educational content library and using the question-based Socratic method to promote active learning, Q-Chat has the ability to test a student’s knowledge of educational content, ask in-depth questions to get at underlying concepts, test reading comprehension, help students learn a language and encourage students on healthy learning habits.

What will be hot in workplace L&D in 2023? The results are in for the L&D Global Sentiment Survey 2023 [Taylor]

On 02/13/2023, in Africa, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Augmented Reality (AR), Australia, Canada, collaboration, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, data related items, digital learning, elearning, Europe, global / globalization, India, instructional design, learning, learning ecosystem, Learning Experience Design, Metaverse, microlearning, mobile learning, personalized/customized learning, skills, UK, United States, Virtual Reality (VR) / worlds / learning, workplace, XR - extended reality, by Daniel Christian

Here’s the link to Don Taylor’s posting on Linked in (also shown below).

.

Five Predictions for the Future of Learning in the Age of AI [Lee Skates]

On 02/10/2023, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, credentialing, education technology, emerging technologies, experimentation, future, personalized/customized learning, United States, vendors, by Daniel Christian

Five Predictions for the Future of Learning in the Age of AI — from a16z.com by Anne Lee Skates

Excerpts:

Seeing as education is one of AI’s first consumer use cases, and programs like ChatGPT are how millions of kids, teachers, and administrators will be introduced to AI, it is critical that we pay attention to the applications of AI and its implications for our lives. Below, we explore five predictions for AI and the future of learning, knowledge, and 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:

- Designing Assignments in the ChatGPT Era — from insidehighered.com by Susan D’Agostino
  Some instructors seek to craft assignments that guide students in surpassing what AI can do. Others see that as a fool’s errand—one that lends too much agency to the software.
- 5 Ways Instructional Designers Can Use ChatGPT — from drlukehobson.com by Luke Hobson
- AI, ChatGPT, instructional design, and prompt crafting — from veletsianos.com by George Veletsianos, PhD

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

We’re piloting ChatGPT Plus, a $20/mo subscription for faster response times and reliability during peak hours: https://t.co/ZDK37w9MIs

— Greg Brockman (@gdb) February 1, 2023

Unbundled: Designing Personalized Pathways for Every Learner [Nate McClennen & Co.]

On 01/31/2023, in assessment, Blockchain, change, changing business models, competency-based learning/education, content development, aggregation, repositories, credentialing, Design Thinking, education, education reform, engagement / engaging students, ideas, innovation, instructional design, K-12 related, leadership, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, love of learning, marketplaces, microlearning, more voice more choice more control, motivation, new business models, online learning, participation, passions, personalized/customized learning, platforms, reinvent, society, streams of content, student-related, teachers, teaching & learning, technology (general), ubiquitous learning, United States, user experience (UX), vendors, vision/possibilities, vocational / trades, youth, by Daniel Christian

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.
.

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. 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.

Let’s develop a nationwide, direct-to-learner campaign: “Learn how to learn.” [Christian]

On 01/23/2023, in 24x7x365 access, active learning, adjunct faculty, adult learning, career development, collaboration, colleges, communities of practice, community colleges, corporate universities / corporate training, Daniel S. Christian, education, faculty, future, heutagogy, higher education, homeschooling/homeschoolers, hybrid learning, Hyflex learning, ideas, informal learning, instructional design, K-12 related, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning theories, legislatures / government / legal, liberal arts, library / librarians, lifelong learning, love of learning, metacognition / metacognitive skills, microlearning, mobile learning, online learning, online media, Personal Learning Networks (PLNs), personalized/customized learning, platforms, professional development, psychology, skills, society, sociology, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, traditional / tradition, training / L&D, United States, universities, vision/possibilities, web-based collaboration, by Daniel Christian

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

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]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents/guardians, pedagogy, personalized/customized learning, platforms, play, podcasting, professional development, social learning / networks, social media, society, streams of content, student-related, teachers, teaching & learning, technology (general), tools, training / L&D, universities, videoconferencing, Virtual Reality (VR) / worlds / learning, vocational / trades, webinars, by Daniel 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.

14 Technology Predictions for Higher Education in 2023 [Kelly]

On 01/17/2023, in accessibility / UDL, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, blended learning, career development, change, collaboration, colleges, community colleges, credentialing, data related items, education technology, emerging technologies, experimentation, future, global / globalization, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, IT in HE, learning ecosystem, Learning Experience Design, learning preferences, liberal arts, lifelong learning, online learning, personalized/customized learning, skills, teaching & learning, technology (general), tools, United States, universities, vendors, by Daniel Christian

14 Technology Predictions for Higher Education in 2023 — from campustechnology.com by Rhea Kelly
How will technologies and practices like artificial intelligence, predictive analytics, digital transformation, and change management impact colleges and universities this year? Here’s what the experts told us.

Excerpt:

In an open call on LinkedIn, we asked higher education and ed tech industry leaders to forecast the most important trends to watch in the coming year. Their responses reflect both the challenges on the horizon — persistent cyber attacks, the disruptive force of emerging technologies, failures in project management — as well as the opportunities that technology brings to better serve students and support the institutional mission. Here are 14 predictions to help steer your technology efforts in 2023.

Learning Ecosystems

OpenAI CEO on GPT-4, ChatGPT, & the Future of AI [Fridman] + other items re: AI

A Spotify model of personalised higher education [Rosemann & Betts]

Major announcements from a key vendor in the AI space — NVIDIA

ChatGPT as a teaching tool, not a cheating tool [Rose]

5 Ideas To Incorporate AI In Your eLearning Course [Pappas]

Five Predictions for the Future of Learning in the Age of AI [Lee Skates]

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