intelligent systems

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator [Grossman]

On 01/18/2021, in 21st century, art, Artificial Intelligence / Machine Learning / Deep Learning, creativity, Daniel S. Christian, future, ideas, innovation, intelligent systems, journalism, marketing/social marketing, multimedia, music, visualizing information, by Daniel Christian

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator — from venturebeat.com by Gary Grossman; with thanks to Tim Holt for sharing this resource

Excerpt:

OpenAI chose the name DALL-E as a hat tip to the artist Salvador Dalí and Pixar’s WALL-E. It produces pastiche images that reflect both Dalí’s surrealism that merges dream and fantasy with the everyday rational world, as well as inspiration from NASA paintings from the 1950s and 1960s and those for Disneyland Tomorrowland by Disney Imagineers.

From DSC:
I’m not a big fan of having AI create the music that I listen to, or the artwork that I take in. But I do think there’s potential here in giving creative artists some new fodder for thought! Perhaps marketers and/or journalists could also get their creative juices going from this type of service/offering.

Speaking of art, here are a couple of other postings that caught my eye recently:

This Elaborately Armored Samurai Was Folded From A Single Sheet of Paper — from thisiscolossal.com by Grace Ebert

Also see:

Fabric Portraits by Benjamin Shine — from theawesomer.com

If it were possible to do the Socratic method w/ each of your Ss at one time, would you do it? Could it work? [Christian]

On 01/05/2021, in adjunct faculty, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, assessment, attention, blended learning, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, distance education, education technology, emerging technologies, engagement / engaging students, entrepreneurship, experimentation, face-to-face, future, Google, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, interactivity, K-12 related, languages and translation, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning spaces, multimedia, Natural Language Processing (NLP), online learning, online tutoring, participation, pedagogy, platforms, remote teaching and learning, smart/connected TV, student-related, teachers, training / L&D, Uncategorized, United States, universities, user experience (UX), vendors, videoconferencing, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, by Daniel Christian

From DSC:
For me the Socratic method is still a question mark, in terms of effectiveness. (I suppose it depends on who is yielding the tool and how it’s being utilized/implemented.)

But you have one student — often standing up and/or in the spotlight — who is being drilled on something. That student could be calm and collected, and their cognitive processing could actually get a boost from the adrenaline.

But there are other students who dread being called upon in such a public — sometimes competitive — setting. Their cognitive processing could shut down or become greatly diminished.

Also, the professor is working with one student at a time — hopefully the other students are trying to address each subsequent question, but some students may tune out once they know it’s not their turn in the spotlight.

So I was wondering…could the Socratic method be used with each student at the same time? Could a polling-like tool be used in real-time to guide the discussion?

For example, a professor could start out with a pre-created poll and ask the question of all students. Then they could glance through the responses and even scan for some keywords (using their voice to drive the system and/or using a Ctrl+F / Command+F type of thing).

Then in real-time / on-the-fly, could the professor use their voice to create another poll/question — again for each student to answer — based on one of the responses? Again, each student must answer the follow up question(s).

Are there any vendors out there working on something like this? Or have you tested the effectiveness of something like this?

Vendors: Can you help us create a voice-driven interface to offer the Socratic method to everyone to see if and how it would work? (Like a Mentimeter type of product on steroids…er, rather, using an AI-driven backend.)

Teachers, trainers, pastors, presenters could also benefit from something like this — as it could engage numerous people at once.

#Participation #Engagement #Assessment #Reasoning #CriticalThinking #CommunicationSkills #ThinkingOnOnesFeet #OnlineLearning #Face-to-Face #BlendedLearning #HybridLearning

Could such a method be used in language-related classes as well? In online-based tutoring?

Could AI-based techs be used to develop a “table of contents” for the key points within lectures, lessons, training sessions, sermons, & podcasts? [Christian]

On 01/02/2021, in 21st century, 24x7x365 access, A/V -- audio/visual, adjunct faculty, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, colleges, communications, communities of practice, community colleges, content development, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital video, distance education, education, education technology, emerging technologies, experimentation, face-to-face, faculty, future, future of higher education, game-changing environment, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, interface design, IT in HE, K-12 related, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning spaces, lecture capture, MOOCs -- Massive Open Online Courses, more choice more control, multimedia, Natural Language Processing (NLP), new media literacies, online learning, online media, online tutoring, pace of change, platforms, podcasting, presentations, productivity / tips and tricks, professional development, remote teaching and learning, smart classrooms, smart/connected TV, student-related, teachers, teaching & learning, teaching online, technologies for your home, tools, training / L&D, transmedia, tvOS-based apps, universities, usability, user experience (UX), user interface design, vendors, videoconferencing, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, by Daniel Christian

From DSC:
As we move into 2021, the blistering pace of emerging technologies will likely continue. Technologies such as:

Artificial Intelligence (AI) — including technologies related to voice recognition
Blockchain
Augment Reality (AR)/Mixed Reality (MR)/Virtual Reality (VR) and/or other forms of Extended Reality (XR)
Robotics
Machine-to-Machine Communications (M2M) / The Internet of Things (IoT)
Drones
…and other things will likely make their way into how we do many things (for better or for worse).

Along the positive lines of this topic, I’ve been reflecting upon how we might be able to use AI in our learning experiences.

For example, when teaching in face-to-face-based classrooms — and when a lecture recording app like Panopto is being used — could teachers/professors/trainers audibly “insert” main points along the way? Similar to something like we do with Siri, Alexa, and other personal assistants (“Heh Siri, _____ or “Alexa, _____).

Like an audible version of HTML -- using the spoken word to insert the main points of a presentation or lecture

(Image purchased from iStockphoto)

.

Pretend a lecture, lesson, or a training session is moving right along. Then the professor, teacher, or trainer says:

“Heh Smart Classroom, Begin Main Point.”
Then speaks one of the main points.
Then says, “Heh Smart Classroom, End Main Point.”

Like a verbal version of an HTML tag.

After the recording is done, the AI could locate and call out those “main points” — and create a table of contents for that lecture, lesson, training session, or presentation.

(Alternatively, one could insert a chime/bell/some other sound that the AI scans through later to build the table of contents.)

In the digital realm — say when recording something via Zoom, Cisco Webex, Teams, or another application — the same thing could apply.

Wouldn’t this be great for quickly scanning podcasts for the main points? Or for quickly scanning presentations and webinars for the main points?

Anyway, interesting times lie ahead!

The Year TV Leaped Into The Future [Roettgers]

On 12/27/2020, in 21st century, 24x7x365 access, A/V -- audio/visual, algorithms, Amazon, Artificial Intelligence / Machine Learning / Deep Learning, bots, business side of he, career development, change, changing business models, cloud-based computing / apps / other cloud-related, communications, content aggregration, content development, content repositories, Daniel S. Christian, digital audio, digital learning, digital storytelling, digital video, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, future, game-changing environment, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning preferences, learning spaces, lifelong learning, MOOCs -- Massive Open Online Courses, new business models, online learning, online media, online tutoring, platforms, reinvent, smart classrooms, smart/connected TV, social learning / networks, social media, society, staying relevant, surviving, teaching online, technologies for your home, technology (general), telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, trends, United States, using teams, vendors, vision/possibilities, by Daniel Christian

The Year TV Leaped Into The Future — from protocol.com by Janko Roettgers

The lockdowns this year have transformed our homes into offices, schools, concert halls, movie theaters and gyms. Our homes are working harder for us, but so is our technology. The device that is working the hardest is perhaps the TV—becoming our lifeline to a far more virtual world.

Addendums:

The Second Year of The MOOC: 2020 Saw a Rush to Large-Scale Online Courses — from edsurge.com by Dhawal Shah

Excerpt:

This was the year that more people learned what a MOOC is.

As millions suddenly found themselves with free time on their hands during the pandemic, many turned to online courses—especially, to free courses known as MOOCs, or Massive Open Online Courses. This phenomenon was compounded by media worldwide compiling lists of “free things to do during lockdown,” which tended to include MOOCs.

Within two months, Class Central had received over 10 million visits and sent over six million clicks to MOOC providers. These learners also turned out to be more engaged than usual. In April 2020, MOOC providers Coursera, edX and FutureLearn attracted as many new users in a single month as they did in the entirety of 2019.

.

From DSC:
The pieces continue to come together…

...team-based content creation and delivery will dominate in the future (at least for the masses). It will offer engaging, personalized learning and the AI-based systems will be constantly scanning for the required/sought-after skills and competencies. The systems will then present a listing of items that will help people obtain those skills and competencies.

#AI #LearningProfiles #Cloud #LearningFromTheLivingClassRoom #LearningEcosystems #LearningSpaces #21stCentury #24x7x365 #Reinvent #Surviving #StayingRelevant #LifeLongLearning and many more tags/categories are applicable here.

Trends 2021: Three Scenes from the Future [Frog]

On 12/18/2020, in collaboration, communications, emerging technologies, experimentation, face-to-face, future, game-changing environment, generational differences, human-computer interaction (HCI), ideas, innovation, intelligent systems, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning preferences, learning spaces, marketing/social marketing, marketplaces, online learning, platforms, society, technology (general), telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, tools, trends, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, web-based collaboration, workplace, XR - extended reality, by Daniel Christian

Trends 2021: Three Scenes from the Future — from frogdesign.com

Excerpt:

This year, we decided to lean into this unreality. For our tenth annual Trends list, we asked frogs to not only imagine the societal and technological shifts that will impact our future, but to project the future worlds these shifts will create. From perspectives on the accelerated adoption of remote work, to visions of distorted realities and changing consumer behaviors, we’re sharing different possible views of 2021 and beyond—and the products, services and experiences that will shape our future worlds.

Re: college admissions: Hhmmm….here’s an interesting idea.

On 12/16/2020, in algorithms, Artificial Intelligence / Machine Learning / Deep Learning, business side of he, colleges, community colleges, data mining, future of higher education, higher education, ideas, innovation, intelligent systems, learner profiles, learning agents, learning preferences, liberal arts, universities, by Daniel Christian

Can Algorithms Save College Admissions? — from chronicle.com by Brian Rosenberg
We’ve tried a system based on competition long enough. It isn’t working.

Excerpt (emphasis DSC):

Here is an alternative and much more radical proposal: What if we replaced the current and longstanding admissions process among private colleges with a match process, similar to what has for years been used to match medical-school graduates with residency and fellowship positions? What if, in other words, we used data and algorithms instead of travel, merit aid, and free food to drive college admissions?

From DSC:
Love the “What if…” thinking here and the spirit of innovation behind it. I wonder if AI and cloud-based learner profiles might play into something like this in the future…?

Also see:

7 Ways To Make College Admissions More Equitable — from stradaeducation.org by Patty Reinert Mason and Jeff Selingo
Is it time to reconsider early-decision applications, legacy preferences, and reliance on feeder high schools?
Selingo offers these practical steps colleges and universities can take to make admissions more equitable:

Eliminate early-decision applications.
Be upfront about what you’re looking for in this year’s incoming class so students and parents have the information they need.
Be transparent about what it costs to study at your school.
Look beyond traditional “feeder high schools” for recruitment, creating opportunity for a more diverse group of students.
Reduce preferences given to athletes and legacies.
Rethink application requirements to put more emphasis on high school coursework and grades and less on extracurriculars, recommendations, and essays.
Expand the size of freshman classes.

Also see:

Attention Administrators: More Flexibility in Online/Course Schedules Results in Higher Enrollment — from fierceeducation.comby Jacqueline Renfrow

Teaching with Amazon Alexa — from Sylvia Martinez

Excerpt:

Alexa is a voice-activated, cloud-based virtual assistant, similar to Siri on Apple devices, or Google Assistant. Alexa is an umbrella name for the cloud-based functionality that responds to verbal commands. Alexa uses artificial intelligence to answer questions or control smart devices, and has a range of “skills” — small programs that you can add to increase Alexa’s capabilities.

Many teachers are experimenting with using smart devices like Alexa in the classroom. Like most other Amazon features and products, Alexa is primarily designed for home use, anticipating that users will be household members. So in thinking about Alexa in a classroom, keeping this in mind will help determine the best educational uses.

Alexa is most often accessed in three ways…

Report: There’s More to Come for AI in Ed — from thejournal.com by Dian Schaffhauser

Excerpts:

The group came up with dozens of “opportunities” for AI in education, from extending what teachers can do to better understanding human learning:

Using virtual instructors to free up “personalization time” for classroom teachers;
Offloading the “cognitive load” of teaching;
Providing “job aids” for teachers;
Identifying the links between courses, credentials, degrees and skills;
“Revolutionizing” testing and assessment;
Creating new kinds of “systems of support”;
Helping with development of “teaching expertise”; and
Better understanding human learning through “modeling and building interfaces” in AI.

But contributors also offered just as many barriers to success:

Differences in the way teachers teach would require “different job aids”;
Teachers would fear losing their jobs;
Data privacy concerns;
Bias worries;
Dealing with unrealistic expectations and fears about AI pushed in “popular culture”;
Lack of diversity in gender, ethnicity and culture in AI projects; and
Smart use of data would require more teacher training.

What might this new concept/setup look like in smart classrooms of the future? [Christian]

On 12/09/2020, in 21st century, 24x7x365 access, A/V -- audio/visual, Artificial Intelligence / Machine Learning / Deep Learning, blended learning, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital learning, education technology, emerging technologies, experimentation, face-to-face, future, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, intelligent systems, IT in HE, K-12 related, law schools, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods, learning preferences, learning spaces, more choice more control, multimedia, personalized/customized learning, platforms, productivity / tips and tricks, smart/connected TV, teachers, teaching & learning, technologies for your home, telecommunications, telelegal, telemedicine / telehealth / virtual health, telepresence, television, tools, training / L&D, United States, universities, usability, user experience (UX), vendors, videoconferencing, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, by Daniel Christian

A new category of devices from Cisco -- the Webex Desk Hub

From DSC:
In yesterday’s webexone presentations, Cisco mentioned a new device category, calling it the Webex Desk Hub. It gets at the idea of walking into a facility and grabbing any desk, and making that desk you own — at least for that day and time. Cisco is banking on the idea that sometimes people will be working remotely, and sometimes they will be “going into the office.” But the facilities will likely be fewer and smaller — so one might not have their own office.

In that case, you can plug in your smart device, and things are set up the way they would be if you did have that space as a permanent office.

Applying this concept to the smart classrooms of the future, what might that concept look like for classrooms? A faculty member or a teacher could walk into any room that supports such a setup, put in their personal smart device, and the room conditions are instantly implemented:

The LMS comes on
The correct class — based on which day it is and then on the particular time of day it is — is launched
The lights are dimmed to 50%
The electric window treatments darken the room
The projector comes on and/or the displays turn on
Etc.

From DSC:
I saw this item out at:

AI is delivering a growing share of earnings, says McKinsey — from which-50.com by Andrew Birmingham
Excerpt:
Some companies are generating an increasing share of the profits in a way that is directly attributable to AI, and the best performers are likely to increase their investments setting up a world of algorithmic leaders and laggards, according to a new paper from McKinsey & Company. Called The State of AI in 2020, the report notes that we could start to see a widening divide between AI leaders and the majority of companies still struggling to capitalise on the technology.

Also see:

Scale, which helps companies improve their A.I. capabilities, is now worth more than $3.5 billion and breaking even — from cnbc.com by Jordan Novet

DC: So how might this impact the learning ecosystems out there?https://t.co/tMl5ouSX1x #learningecosystems #learningfromthelivingclassroom #careers #careerdevelopment #education #highereducation #change

— Daniel Christian (he/him/his) (@dchristian5) November 25, 2020

The Dice Q3 Tech Job Report | Tech Hiring and COVID-19: What You Need to Know

On 11/11/2020, in 21st century, 24x7x365 access, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, career development, cloud-based computing / apps / other cloud-related, colleges, community colleges, computer science, content aggregration, content development, content repositories, corporate / business world, corporate universities / corporate training, credentialing, curriculum, Daniel S. Christian, digital learning, distance education, elearning, emerging technologies, entrepreneurship, future, future of higher education, game-changing environment, global / globalization, higher education, ideas, informal learning, innovation, intelligent systems, intelligent tutoring, internet, IT in HE, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, microlearning, Microsoft, mobile technologies, more choice more control, New "Amazon.com" of Higher Education, online learning, online media, online tutoring, personalized/customized learning, platforms, professional development, programming, smart/connected TV, social learning / networks, society, staying relevant, streams of content, technologies for your home, technology (general), telepresence, television, tools, training / L&D, trends, tvOS-based apps, United States, universities, vendors, videoconferencing, virtual tutoring, web-based collaboration, workplace, by Daniel Christian

The Dice Q3 Tech Job Report: Tech Hiring and COVID-19: What You Need to Know — from techhub.dice.com
The report, issued quarterly by Dice, provides exclusive statistics and analysis on the tech hiring landscape, including top cities and states, top employers and the most sought-after skills and occupations.

From DSC:
One can quickly see how valuable this information would be as a data feed into an AI-based, next-generation learning platform.

The platform would connect the marketable skills with the courses, websites, blogs, RSS feeds/streams of content, etc. that would help a learner quickly and affordably build such in-demand skills. Given the shortening half-lives of many kinds of information, such a service is needed desperately…especially now with the impact of the Coronavirus.

Also relevant: See how ISTE built its upcoming virtual event!

Could/would an AI — working with a cloud-based learner profile — help here? [Christian]

On 11/10/2020, in 21st century, 24x7x365 access, active learning, adult learning, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, attention, curriculum, Daniel S. Christian, digital learning, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, experimentation, global / globalization, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, IT in HE, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, learning spaces, lifelong learning, love of learning, more choice more control, New "Amazon.com" of Higher Education, online learning, online tutoring, passions, personalized/customized learning, platforms, professional development, psychology, reinvent, special needs, staying relevant, student teaching/teacher education, student-related, teachers, teaching & learning, training / L&D, user experience (UX), virtual K-12 schools, youth, by Daniel Christian

Temperament-Inclusive Pedagogy: Helping Introverted and Extraverted Students Thrive in a Changing Educational Landscape — from onlinelearningconsortium.org by Mary R. Fry

Excerpt (emphasis DSC):

So how do we take these different approaches to learning into account and foster a classroom environment that is more inclusive of the needs of both extraverts and introverts? Let’s first distinguish between how extraverts and introverts most prefer to learn, and then discuss ways to meet the needs of both. Extraverts tend to learn through active and social engagement with the material (group work, interactive learning experiences, performing and discussing). Verbalizing typically helps extraverts to think through their ideas and to foster new ones. They often think quickly on their feet and welcome working in large groups. It can be challenging for extraverts to generate ideas in isolation (talking through ideas is often needed) and thus working on solitary projects and writing can be challenging.

In contrast, introverts thrive with solitary/independent work and typically need this time to sort through what they are learning before they can formulate their thoughts and articulate their perspectives. Introverted learners often dislike group work (or at least the group sizes and structures that are often used in the classroom (more on this in a moment)) and find their voice drowned out in synchronous discussions as they don’t typically think as fast as their extroverted counterparts and don’t often speak until they feel they have something carefully thought out to share. Introverted learners are often quite content, and can remain attentive, through longer lectures and presentations and prefer engaging with the material in a more interactive way only after a pause or break.

From DSC:
Could/would a next-generation learning platform that has some Artificial Intelligence (AI) features baked into it — working in conjunction with a cloud-based learner profile — be of assistance here?

That is, maybe a learner could self-select the type of learning that they are: introverted or extroverted. Or perhaps they could use a sliding scaled to mix learning activities up to a certain degree. Or perhaps if one wasn’t sure of their preferences, they could ask the AI-backed system to scan for how much time they spent doing learning activities X, Y, and Z versus learning activities A, B, and C…then AI could offer up activities that meet a learner’s preferences.

(By the way, I love the idea of the “think-ink-pair-share” — to address both extroverted and introverted learners. This can be done digitally/virtually as well as in a face-to-face setting.)

All of this would further assist in helping build an enjoyment of learning. And wouldn’t that be nice? Now that we all need to learn for 40, 50, 60, 70, or even 80 years of our lives?

Baker McKenzie’s New AI Project: Knowing What Clients Want, Before They Do [Hudgins]

On 10/28/2020, in Artificial Intelligence / Machine Learning / Deep Learning, innovation, intelligent systems, law schools, Legal operations, legal technologies, legislatures / government / legal, vendors, by Daniel Christian

Baker McKenzie’s New AI Project: Knowing What Clients Want, Before They Do — from law.com by Victoria Hudgins
Baker McKenzie announced it’s collaborating with an AI technology developer to help it predict clients’ future needs. While the software may have less-than-perfect accuracy, lawyers still see a significant benefit.

Excerpt:

Baker McKenzie is betting on AI-powered analytics to help evolve its legal services. The firm on Monday launched its global innovation arm Reinvent in collaboration with software developer SparkBeyond. Through Reinvent, Baker McKenzie will leverage SparkBeyond’s AI technology and a host of firm and third-party data to predict what services clients will need, and the unseen drivers of client demand.

The software will use data it collected from the firm’s previous and current matters, as well as data from third-party sources that provide news, economic and census information, to generate predictions of future risks for a client. The risks are ranked based on their likelihood.

Reflections on “The State of AI in Higher Education” [Schaffhauser]

On 10/24/2020, in 21st century, 24x7x365 access, adjunct faculty, algorithms, Alternatives, assistive technologies, business side of he, career development, change, cloud-based computing / apps / other cloud-related, colleges, community colleges, competency-based learning/education, computer science, curriculum, Daniel S. Christian, digital learning, distance education, education technology, emerging technologies, future, future of higher education, game-changing environment, generational differences, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, intelligent systems, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, marketplaces, more choice more control, New "Amazon.com" of Higher Education, new business models, online learning, online media, online tutoring, pace of change, passions, personalized/customized learning, platforms, professional development, reinvent, smart/connected TV, society, staying relevant, student-related, surviving, technologies for your home, traditional / tradition, training / L&D, tvOS-based apps, universities, workplace, by Daniel Christian

The State of AI in Higher Education — from campustechnology.com by Dian Schaffhauser
Both industry and higher ed experts see opportunities and risk, hype and reality with AI for teaching and learning.

Excerpts:

Kurt VanLehn, the chair for effective education in STEM in the School of Computing, Informatics and Decision Systems Engineering at Arizona State University, knows how challenging it can be people to come up with examples of effective AI in education. Why? “Because learning is complicated.”
…
Nuno Fernandes, president and CEO of Ilumno, an ed tech company in Latin America, isn’t ready to count adaptive learning out yet, if only because adaptivity has worked in other industries, such as social platforms like Netflix and Amazon, to identify what could work best for the user, based on previous activities and preferred formats of curriculum.

As Ilumno’s Fernandes asserted, AI won’t “substitute for faculty in any of our lifetimes. What it will do is give us tools to work better and to complement what is being done by humans.”

From DSC:
The article is a very balanced one. On one hand, it urges caution and points out that learning is messy and complex. On the other hand, it points out some beneficial applications of AI that already exist in language learning and in matching alumni with students for mentorship-related reasons.

From my perspective, I think AI-based systems will be used to help us scan job descriptions to see what the marketplace needs and is calling for. Such a system would be a major step forward in at least pointing out the existing hiring trends, needed skillsets, job openings, and more — and to do so in REAL-TIME!

Colleges, universities, and alternatives to traditional higher education could use this information to be far more responsive to the needs of the workplace. Then, such systems could match what the workplace needs with courses, microlearning-based feeds, apprenticeships, and other sources of learning that would help people learn those in-demand skills.

That in and of itself is HUGE. Again, HUGE. Given the need for people to reinvent themselves — and to do so quickly and affordably — that is incredibly beneficial.

Also, I do think there will be cloud-based learner profiles…data that each of us control and say who has access to it. Credentials will be stored there, for example. AI-based systems can scan such profiles and our desired career goals and suggest possible matches.

We can change our career goals. We don’t have to be locked into a particular track or tracks. We can reinvent ourselves. In fact, many of us will have to.

Learning Ecosystems

OpenAI’s text-to-image engine, DALL-E, is a powerful visual idea generator [Grossman]

Trends 2021: Three Scenes from the Future [Frog]

Re: college admissions: Hhmmm….here’s an interesting idea.

The state of AI in 2020 [McKinsey & Company]

So how might this impact the learning ecosystems out there? [Christian]

Baker McKenzie’s New AI Project: Knowing What Clients Want, Before They Do [Hudgins]

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