So you think you want to hire an instructional designer. Great choice. Instructional designers are eLearning industry superheroes. They create learning experiences and develop instructional materials to make learning accessible. Whether you’re creating training modules for your employees or building online courses for students, an instructional designer is an essential member of your eLearning team.
Addendum on 6/6/23, a somewhat relevant posting:
Professional Organizations for Instructional Designers — from christytuckerlearning.com by Christy Tucker What professional organizations are useful for instructional designers? The Learning Guild, ATD, TLDC, Training Magazine Network, and LDA.
Let’s look at some ideas of how law schools could use AI tools like Khanmigo or ChatGPT to support lectures, assignments, and discussions, or use plagiarism detection software to maintain academic integrity.
In particular, we’re betting on four trends for AI and L&D.
Rapid content production
Personalized content
Detailed, continuous feedback
Learner-driven exploration
In a world where only 7 percent of the global population has a college degree, and as many as three quarters of workers don’t feel equipped to learn the digital skills their employers will need in the future, this is the conversation people need to have.
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Taken together, these trends will change the cost structure of education and give learning practitioners new superpowers. Learners of all backgrounds will be able to access quality content on any topic and receive the ongoing support they need to master new skills. Even small L&D teams will be able to create programs that have both deep and broad impact across their organizations.
Generative AI is set to play a pivotal role in the transformation of educational technologies and assisted learning. Its ability to personalize learning experiences, power intelligent tutoring systems, generate engaging content, facilitate collaboration, and assist in assessment and grading will significantly benefit both students and educators.
With today’s advancements in generative AI, that vision of personalized learning may not be far off from reality. We spoke with Dr. Kim Round, associate dean of the Western Governors University School of Education, about the potential of technologies like ChatGPT for learning, the need for AI literacy skills, why learning experience designers have a leg up on AI prompt engineering, and more. And get ready for more Star Trek references, because the parallels between AI and Sci Fi are futile to resist.
NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical.
Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., Europe and Israel — are headed to SIGGRAPH 2023, the premier computer graphics conference, taking place Aug. 6-10 in Los Angeles.
The papers include generative AI models that turn text into personalized images; inverse rendering tools that transform still images into 3D objects; neural physics models that use AI to simulate complex 3D elements with stunning realism; and neural rendering models that unlock new capabilities for generating real-time, AI-powered visual details.
Also relevant to the item from Nvidia (above), see:
This week I spent a few days at the ASU/GSV conference and ran into 7,000 educators, entrepreneurs, and corporate training people who had gone CRAZY for AI.
No, I’m not kidding. This community, which makes up people like training managers, community college leaders, educators, and policymakers is absolutely freaked out about ChatGPT, Large Language Models, and all sorts of issues with AI. Now don’t get me wrong: I’m a huge fan of this. But the frenzy is unprecedented: this is bigger than the excitement at the launch of the i-Phone.
Second, the L&D market is about to get disrupted like never before. I had two interactive sessions with about 200 L&D leaders and I essentially heard the same thing over and over. What is going to happen to our jobs when these Generative AI tools start automatically building content, assessments, teaching guides, rubrics, videos, and simulations in seconds?
The answer is pretty clear: you’re going to get disrupted. I’m not saying that L&D teams need to worry about their careers, but it’s very clear to me they’re going to have to swim upstream in a big hurry. As with all new technologies, it’s time for learning leaders to get to know these tools, understand how they work, and start to experiment with them as fast as you can.
Speaking of the ASU+GSV Summit, see this posting from Michael Moe:
Last week, the 14th annual ASU+GSV Summit hosted over 7,000 leaders from 70+ companies well as over 900 of the world’s most innovative EdTech companies. Below are some of our favorite speeches from this year’s Summit…
High-quality tutoring is one of the most effective educational interventions we have – but we need both humans and technology for it to work. In a standing-room-only session, GSE Professor Susanna Loeb, a faculty lead at the Stanford Accelerator for Learning, spoke alongside school district superintendents on the value of high-impact tutoring. The most important factors in effective tutoring, she said, are (1) the tutor has data on specific areas where the student needs support, (2) the tutor has high-quality materials and training, and (3) there is a positive, trusting relationship between the tutor and student. New technologies, including AI, can make the first and second elements much easier – but they will never be able to replace human adults in the relational piece, which is crucial to student engagement and motivation.
ChatGPT, Bing Chat, Google’s Bard—AI is infiltrating the lives of billions.
The 1% who understand it will run the world.
Here’s a list of key terms to jumpstart your learning:
Being “good at prompting” is a temporary state of affairs.The current AI systems are already very good at figuring out your intent, and they are getting better. Prompting is not going to be that important for that much longer. In fact, it already isn’t in GPT-4 and Bing. If you want to do something with AI, just ask it to help you do the thing. “I want to write a novel, what do you need to know to help me?” will get you surprisingly far.
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The best way to use AI systems is not to craft the perfect prompt, but rather to use it interactively. Try asking for something. Then ask the AI to modify or adjust its output. Work with the AI, rather than trying to issue a single command that does everything you want. The more you experiment, the better off you are. Just use the AI a lot, and it will make a big difference – a lesson my class learned as they worked with the AI to create essays.
From DSC: Agreed –> “Being “good at prompting” is a temporary state of affairs.” The User Interfaces that are/will be appearing will help greatly in this regard.
From DSC: Bizarre…at least for me in late April of 2023:
FaceTiming live with AI… This app came across the @ElunaAI Discord and I was very impressed with its responsiveness, natural expression and language, etc…
Feels like the beginning of another massive wave in consumer AI products.
The rise of AI-generated music has ignited legal and ethical debates, with record labels invoking copyright law to remove AI-generated songs from platforms like YouTube.
Tech companies like Google face a conundrum: should they take down AI-generated content, and if so, on what grounds?
Some artists, like Grimes, are embracing the change, proposing new revenue-sharing models and utilizing blockchain-based smart contracts for royalties.
The future of AI-generated music presents both challenges and opportunities, with the potential to create new platforms and genres, democratize the industry, and redefine artist compensation.
The Need for AI PD — from techlearning.com by Erik Ofgang Educators need training on how to effectively incorporate artificial intelligence into their teaching practice, says Lance Key, an award-winning educator.
“School never was fun for me,” he says, hoping that as an educator he could change that with his students. “I wanted to make learning fun.” This ‘learning should be fun’ philosophy is at the heart of the approach he advises educators take when it comes to AI.
At its 11th annual conference in 2023, educational company Coursera announced it is adding ChatGPT-powered interactive ed tech tools to its learning platform, including a generative AI coach for students and an AI course-building tool for teachers. It will also add machine learning-powered translation, expanded VR immersive learning experiences, and more.
Coursera Coach will give learners a ChatGPT virtual coach to answer questions, give feedback, summarize video lectures and other materials, give career advice, and prepare them for job interviews. This feature will be available in the coming months.
From DSC: Yes…it will be very interesting to see how tools and platforms interact from this time forth. The term “integration” will take a massive step forward, at least in my mind.
Last week I received a text message from a friend to check out a March 29th Campus Technology article about French AI startup, Nolej. Nolej (pronounced “Knowledge”) has developed an OpenAI-based instructional content generator for educators called NolejAI.
Access to NolejAI is through a browser. Users can upload video, audio, text documents, or a website url. NolejAI will generate an interactive micro-learning package which is a standalone digital lesson including content transcript, summaries, a glossary of terms, flashcards, and quizzes. All the lesson materials generated is based upon the uploaded materials.
From DSC: I wonder if this will turn out to be the case:
I am sure it’s only a matter of time before NolejAI or another product becomes capable of generating a standard three credit hour college course. Whether that is six months or two years, it’s likely sooner than we think.
Gamification refers to the application of gaming elements into the instructional design of a course. Here are 7 ways to incorporate gamification into your eLearning.
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.
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,
How Long Should a Branching Scenario Be?— from christytuckerlearning.com by Christy Tucker How long should a branching scenario be? Is 45 minutes too long? Is there an ideal length for a branching scenario?
Excerpt:
Most of the time, the branching scenarios and simulations I build are around 10 minutes long. Overall, I usually end up at 5-15 minutes for branching scenarios, with interactive video scenarios being at the longer end.
From DSC: This makes sense to me, as (up to) 6 minutes turned out to be an ideal length for videos.
The optimal video length is 6 minutes or shorter — students watched most of the way through these short videos. In fact, the average engagement time of any video maxes out at 6 minutes, regardless of its length. And engagement times decrease as videos lengthen: For instance, on average students spent around 3 minutes on videos that are longer than 12 minutes, which means that they engaged with less than a quarter of the content. Finally, certificate-earning students engaged more with videos, presumably because they had greater motivation to learn the material. (These findings appeared in a recent Wall Street Journal article, An Early Report Card on Massive Open Online Courses and its accompanying infographic.)
The take-home message for instructors is that, to maximize student engagement, they should work with instructional designers and video producers to break up their lectures into small, bite-sized pieces.
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?
There is a disconnect in learning and development departments in most large companies: On one hand there is an obligation to meet regulatory requirements for compliance training. On the other, there is the drive to improve business outcomes by creating a culture of learning.
These two forces can clash when expectations are not well defined.
Somewhat relevant/see:
Branching Scenario Podcast with Mark Parry— from christytuckerlearning.com by Christy Tucker Mark Parry recently interviewed me for his podcast about branching scenarios, including how feedback is used to help learners in scenarios.
To summarize, begin by ensuring that you are able to add business value. Do this by designing solutions specific to the known business problem to achieve relevance through adding value. Build credibility through these successes and expand your network and business acumen. Use the expanding business knowledge to begin gathering information about leading and lagging indicators of business success. Build some hypotheses and start determining where to find data related to your hypotheses.
More than looking at data points, look for trends across the data and communicate these trends to build upon them. It’s critical to talk about your findings and communicate what you are seeing. By continuing to drive business value, you can help others stop looking at data that does not truly matter in favor of data that directly affects the organization’s goals.
This is the first article in a series about what evidence (research) says about creating better video for learning. It discusses the attributes of media and technologies for digital or blended instruction, selecting content and social interactions, and the strengths and challenges of video.
Summary: This Trailblazers List features thought leaders who help us to dive into the cognitive processes and behaviors that shape learning science.
Learning Science Thought Leaders Who Share Their Expertise
Exploring the inner workings of the mind gives us the opportunity to design learning experiences that leave a lasting impression. Thankfully, there are some in our field who are ready and willing to research what motivates and inspires learners, as well as how to improve knowledge retention through the power of science. In no particular order, here are the top learning science experts who share their insights with the eLearning community.
From DSC: Thanks Christopher for this great list! I would also addPooja K. Agarwal, Ph.D. from retrievalpractice.org— and I’m sure there are several others that could be listed here as well. But as Christopher mentions, these are the folks who are intentional about sharing their insights.
In fact, it has become clear that whilst 2021 was the year of experimentation – with an explosion of tools being used as people tried out new things, 2022 has been the year of consolidation – with people reverting to their trusty old favourites. In fact, many of the tools that were knocked off their perches in 2021, have now recovered their lost ground this year.
