technology (general) - Learning Ecosystems

Fostering sustainable learning ecosystems [Blessinger]

On 03/13/2023, in 21st century, Africa, Asia, Australia, Canada, change, collaboration, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, culture, curriculum, education, education technology, Europe, formal learning, future, future of higher education, game-changing environment, global / globalization, Google, higher education, ideas, informal learning, instructional design, K-12 related, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, platforms, policy, society, strategy, technology (general), tools, training / L&D, UK, United States, vision/possibilities, youth, by Daniel Christian

Fostering sustainable learning ecosystems — from linkedin.com by Patrick Blessinger

Excerpt (emphasis DSC):

Learning ecosystems
As today’s global knowledge society becomes increasingly interconnected and begins to morph into a global learning society, it is likely that formal, nonformal, and informal learning will become increasingly interconnected. For instance, there has been an explosion of new self-directed e-learning platforms such as Khan Academy, Open Courseware, and YouTube, among others, that help educate billions of people around the world.

A learning ecosystem includes all the elements that contribute to a learner’s overall learning experience. The components of a learning ecosystem are numerous, including people, technology platforms, knowledge bases, culture, governance, strategy, and other internal and external elements that have an impact on learning. Therefore, moving forward, it is crucial to integrate learning across formal, nonformal, and informal learning processes and activities in a more strategic way.

You are not a parrot — from nymag.com by Elizabeth Weil and Emily M. Bender

Excerpts:

A handful of companies control what PricewaterhouseCoopers called a “$15.7 trillion game changer of an industry.” Those companies employ or finance the work of a huge chunk of the academics who understand how to make LLMs. This leaves few people with the expertise and authority to say, “Wait, why are these companies blurring the distinction between what is human and what’s a language model? Is this what we want?”
…
Bender knows she’s no match for a trillion-dollar game changer slouching to life. But she’s out there trying. Others are trying too. LLMs are tools made by specific people — people who stand to accumulate huge amounts of money and power, people enamored with the idea of the singularity. The project threatens to blow up what is human in a species sense. But it’s not about humility. It’s not about all of us. It’s not about becoming a humble creation among the world’s others. It’s about some of us — let’s be honest — becoming a superspecies. This is the darkness that awaits when we lose a firm boundary around the idea that humans, all of us, are equally worthy as is.

Unboxing the Future of Education: A Sneak Peek into a Day in the Life of a Student in 2040 [Cailey]

On 03/01/2023, in change, education, education technology, future, ideas, innovation, intelligent systems, intelligent tutoring, K-12 related, learning agents, learning ecosystem, Learning Experience Design, student-related, teachers, technology (general), youth, by Daniel Christian

Unboxing the Future of Education:“A Sneak Peek into a Day in the Life of a Student in 2040” — from thinklearningstudio.org by Russell Cailey

Excerpts:

To explore this question, I collaborated with my new friend Chat GPT to create a concept of what a day in the life of a 2040 student might look like. The results were fascinating, providing a glimpse into the possible future of education.

In response to our collaborative moment, I would like to pose three guiding questions to the audience:

How might we re-imagine education to create a more holistic and meaningful learning experience for our students as we move forward towards 2040?

How might we cultivate a sense of curiosity, wonder, and creativity in our students, and how might this foster a deeper engagement with learning?

How might we expand the definition of “education” beyond the confines of the classroom and foster lifelong learning and growth in our students?

From DSC:
I appreciated this interesting thought experiment re: the future of learning in the year 2040. I appreciate Russell’s statement where he says:

To conduct a thorough and accurate foresight project, it is crucial to explore multiple potential futures. While the scenario presented here is intended to be playful and imaginative, it represents only one possible outcome among many. I encourage readers to share their scenarios and perspectives in the comments, as this will help to create a more robust and diverse exploration of the future.

Several months’ worth of labor market updates from Handshake’s blog

On 02/20/2023, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, change, computer science, corporate / business world, marketing/social marketing, MBA, skills, society, technology (general), United States, workplace, by Daniel Christian

From DSC:
Below are several months’ worth of labor market updates from Handshake’s blog — with thanks to Paul Fain for this resource.

February 2023 Early Talent Labor Market Update — from joinhandshake.com/blog/
Demand for tech talent outside of coastal states

Key takeaways

Tech hubs no longer? Traditional tech hubs like California and New York are seeing fewer entry-level job openings for technical talent and less interest from students.
A rising tech diaspora: States in other parts of the country, like Iowa (+10.9%) and Maryland (+5.1%), are emerging as locations with more job postings for technical roles—at the same time, students have demonstrated interest in applying to opportunities in those states.
New hubs for tech talent: Students are demonstrating greater openness to a wider array of geographic locations for tech roles with large increases in applications per job in states like Oklahoma (4.8x), Arizona (2.3x), and Oregon (2.7x).

January 2023 Early Talent Labor Market Updates — from joinhandshake.com/blog/
Employers still have strong demand for entry-level technical talent.

Key takeaways
2022 was a difficult year for workers in tech, as the industry was hit hard by hiring freezes and layoffs. Despite an overall slowdown in tech sector hiring, there are several bright spots in the technical labor market that should give early talent reason for optimism.

Tech industry is still investing in (tech) talent
Software and computer tech jobs outside of tech industry
Tech, but not in software

December 2022 Early Talent Labor Market Updates — from joinhandshake.com/blog/
Part-time jobs falling year over year with retail leading the way

Key takeaways

Demand for early talent to fill part-time roles has dropped compared to earlier this year, and part-time jobs saw the largest year-over-year decrease (-32%) in job postings on the platform, when compared to full-time and internships.
Notably employers who are still creating new jobs have been hiring more for full-time roles and internships with job postings per employer up 1% and 7% respectively.
The retail industry, which relies on part-time workers through the holiday season, has seen the greatest year-over-year decrease in part-time job postings that were listed between October and November with a drop of 51%

Reflections on “Incremental Change Didn’t Save Blockbuster. It Won’t Save Education, Either” [Miles]

On 02/02/2023, in change, changing business models, dangers of the status quo, Daniel S. Christian, Design Thinking, future, game-changing environment, ideas, innovation, instructional design, K-12 related, learning ecosystem, Learning Experience Design, student-related, teachers, technology (general), by Daniel Christian

Incremental Change Didn’t Save Blockbuster. It Won’t Save Education, Either — from the74million.org by Mike Miles; with thanks to Rob Reynolds for this resource
Broken public school systems need wholescale change if they are going to prepare students for the skills they will need by 2035

Excerpt:

Perhaps the biggest failure of the current education ecosystem is its inability to envision what the future holds for our students and to make systemic changes now to prepare them for that future. Shackled to a monolithic, change-resistant system, school and district leaders continue to make incremental and piecemeal changes to a broken system expecting to get different outcomes.

In an analogous way, almost all public-school systems are like Blockbusters in the late 1990s — unwilling to assess the impact of technological advances and consider how they might need to revisit their design principles. In the end, if an organization does not move purposefully toward some likely future, then any path forward will do, and it is likely to be the path they are currently on.

From DSC:
The following quote…

Using a split-screen strategy, a district would not attempt to make systemic changes district-wide. Rather, it would implement transformative changes in one or two schools while continuing to make incremental improvements in the rest of the district. Once the schools operating with the new system principles achieve the outcomes and succeed, they will become proof points to allow the district to implement systemic change in even more schools over a period of time.

…made me think of a graphic (see below) — and an article out at evoLLLtion.com — I developed a while back re: the need for more Trim Tab Groups. I think we’re talking about the same thing here.

Addendum on 2/4/23:

A Few Educators ‘Going the Extra Mile’ Cannot Save the Education System — from edsurge.com by Jennifer Yoo-Brannon

Excerpt (emphasis DSC):

Not a Pyramid, But a Garden
Instead of a pyramid, let’s adopt a new image, a more organic one. School communities are webs of complex relationships, like gardens. Imagine if we all understood a school community like a Three Sisters Garden. In this Indigenous agricultural practice, corn, beans and squash grow together to create a sustainable cycle of growth in which the whole garden can thrive. Corn provides the tall stalks for the beans to climb. The large squash plant leaves provide shade so the soil can retain moisture, and the beans provide the nitrogen to fertilize the soil. The garden does not rely on the exploitation of one crop to allow the rest to grow.

From DSC:
Re: the emphasized text immediately above…that sounds like a learning ecosystem to me! 🙂

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.

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, 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.

Digital Trends’ Tech For Change CES 2023 Awards [Prindle]

On 01/07/2023, in A/V -- audio/visual, accessibility / UDL, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, assistive technologies, business, global / globalization, productivity / tips and tricks, society, special needs, technologies for your home, technology (general), tools, user experience (UX), vendors, by Daniel Christian

Digital Trends’ Tech For Change CES 2023 Awards — from digitaltrends.com by Drew Prindle

Excerpt:

CES is more than just a neon-drenched show-and-tell session for the world’s biggest tech manufacturers. More and more, it’s also a place where companies showcase innovations that could truly make the world a better place — and at CES 2023, this type of tech was on full display. We saw everything from accessibility-minded PS5 controllers to pedal-powered smart desks. But of all the amazing innovations on display this year, these three impressed us the most…

Also relevant/see:

Digital Trends’ Top Tech of CES 2023 Awards — digitaltrends.com by Digital Trends Staff
From Autocycles to Flying Cars, the Wild Mobility Solutions on Display at CES 2023 — from singularityhub.com by Vanessa Bates Ramirez
This AI cloned my voice using just three minutes of audio — from digitaltrends.com by Drew Prindle

Top challenges for L&D leaders in 2023 + other items related to L&D

On 12/24/2022, in adult learning, blended learning, change, corporate / business world, corporate universities / corporate training, engagement / engaging students, hybrid learning, Hyflex learning, leadership, pace of change, reinvent, technology (general), training / L&D, workplace, by Daniel Christian

Top challenges for L&D leaders in 2023 — from chieflearningofficer.com by Ken Blanchard

Excerpts:

From an HR perspective, survey respondents reported that the biggest challenges they expect as HR and L&D leaders in 2023, in ranked order, are:

Capacity and resources
Turnover and attrition
Improving engagement and experience
Adapting to a hybrid culture

From DSC:
I wonder if many in higher education might respond similarly…? Perhaps some even in the K-12 space as well.

Also see:

This posting from William Kennedy-Long (re: instructional design) out on LinkedIn:

Excerpt (emphasis DSC):

I read Clark Quinn’s outstanding article which I highly recommend reading, entitled Performance Focus For Deeper Learning Design.

Immediately, I was captivated by what it and he had to say, such that I wrote a short piece to follow up on it.

What are on-ramps? Here’s how to build them for all adult learners to reach their academic potential — from chieflearningofficer.com by Michelle Westfort

Excerpt:

This may come as a surprise — adult learners over 25 make up nearly 40 percent of today’s U.S. undergraduate population at colleges and universities. However, these learners often find themselves treated as outliers by institutions designed for traditional students, which leads to poorer learner outcomes and, as a result, barriers to social mobility.

To ensure adult learners can meaningfully participate in your workforce education program, organizations can build on-ramps capable of accommodating all learners.

On-ramps provide employees access to high-quality academic programs, enable them to continue their educational journey toward a degree or certification by meeting them where they are, and hold a key role in paving the way for successful learner outcomes.

Leveraging 2022’s future-forward lessons to improve L&D — from chieflearningofficer.com by Keith Keating

Excerpts:

Top 4 future-forward lessons from 2022:

The world changes rapidly — prepare for it
Anticipate trends, events and the skills you’ll need in the future
Continuously adopt new capabilities and expand your knowledge
Use tech to your advantage

From DSC:
Check this confluence of emerging technologies out!

Natural language interfaces have truly arrived. Here’s ChatARKit: an open source demo using #chatgpt to create experiences in #arkit. How does it work? Read on. (1/) pic.twitter.com/R2pYKS5RBq

— Bart Trzynadlowski (@BartronPolygon) December 21, 2022

Also see:

The Future of Education Using AR

via @gigadgets_ #AR #AugmentedReality #MR #mixedreality #ai #technology #vr #virtualreality #innovation #edtech #tech #future #medtech #healthtech #education #iot #teacher #classroom #mi #futurism #digitalasset #edutech pic.twitter.com/ZOP0l2kkoR

— Fred Steube (@steube) December 23, 2022

How to spot AI-generated text — from technologyreview.com by Melissa Heikkilä
The internet is increasingly awash with text written by AI software. We need new tools to detect it.

Excerpt:

This sentence was written by an AI—or was it? OpenAI’s new chatbot, ChatGPT, presents us with a problem: How will we know whether what we read online is written by a human or a machine?
…
“If you have enough text, a really easy cue is the word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.
…
“A typo in the text is actually a really good indicator that it was human-written,” she adds.

7 Best Tech Developments of 2022 — from /thetechranch.comby

Excerpt:

As we near the end of 2022, it’s a great time to look back at some of the top technologies that have emerged this year. From AI and virtual reality to renewable energy and biotechnology, there have been a number of exciting developments that have the potential to shape the future in a big way. Here are some of the top technologies that have emerged in 2022:

Looking to 2023 and beyond — various postings/resources re: potential futures

On 12/22/2022, in 5G, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), bots, business, change, cloud-based computing / apps / other cloud-related, corporate / business world, data related items, education, emerging technologies, entrepreneurship, Europe, experimentation, future, game-changing environment, global / globalization, health, innovation, intelligent systems, internet, IT in HE, Metaverse, Mixed Reality (MR), Natural Language Processing (NLP), NVIDIA, robotics, technology (general), telemedicine / telehealth / virtual health, trends, United States, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, voice recognition / voice enabled interfaces, workplace, XR - extended reality, by Daniel Christian

How AI And 5G Could Lead The Next Phase Of The Industrial Revolution — from swisscognitive.ch

Some use cases of the convergence of AI and 5G are:

Metaverse: AI is a key technology that helps bring Metaverse to life and now with the addition of 5G, streaming experiences would become enjoyable and maintaining connectivity without any disruption of external factors like geographical locations would be eliminated.
Digital assistants in the form of chatbots and virtual avatars: Digital assistants today use AI to replicate the human brain and converse with people in human language by understanding intent. With 5G the speed at which the speech is converted to text will improve drastically.
Education: AI and 5G are helping bring education to students’ doorstep through virtual reality and is making this available, efficiently as in real-world classrooms. Solving queries is possible quickly without any restrictions. Betty in Archie Comics attending her classes virtually is a reality due to these technologies.
Healthcare: AI and 5G in healthcare are proliferating an accurate diagnosis of diseases, real-time monitoring, and quick treatment facilities. This has become possible with the right use of data- collection, transmission, and analysis.
Automotive: AI and 5G together is making vehicles smarter and reducing the risk of mishaps on roads by employing various data-powered safety and driving efficiency measures in vehicles.

AI Timelines: What Do Experts in Artificial Intelligence Expect for the Future? — from singularityhub.com by Dr. Max Roser

Excerpt:

What I do take away from these surveys however, is that the majority of AI experts take the prospect of very powerful AI technology seriously. It is not the case that AI researchers dismiss extremely powerful AI as mere fantasy.

The huge majority thinks that in the coming decades there is an even chance that we will see AI technology which will have a transformative impact on our world. While some have long timelines, many think it is possible that we have very little time before these technologies arrive. Across the three surveys more than half think that there is a 50% chance that a human-level AI would be developed before some point in the 2060s, a time well within the lifetime of today’s young people.

Future Of Health: Top Five Digital Health Innovations For 2023 — from forbes.com by Anita Gupta

Excerpts:

Connected Digital Care
AI In Healthcare
Real-World Patient Engagement In Healthcare
Increase Security For Digital And Health Data
Improving Telehealth Services

Looking ahead to 2023: AI, machine learning, RTLS and robotic process automation — from healthcareitnews.com by Bill Siwicki
These advanced technologies will do more to help provider organizations with workflow optimization, staff shortages and the patient experience in the year ahead, one expert predicts.

Three reasons why NLP will go mainstream in healthcare in 2023 — from healthcareitnews.com by Bill Siwicki
A natural language processing expert explains why he feels the technology’s kinks have been ironed out, its ROI has been proven and the timing is right for healthcare to take advantage of information-extraction tools.

13 tech predictions for 2023 — from enterprisersproject.com by Katie Sanders
What can you expect in the world of IT next year? Business and IT leaders share their thoughts

Analysts Predictions About AI In 2023 — from forbes.com by Gil Press

Excerpts:

Automated software development
Automated content and commerce
Enterprise governance, risk, sustainability and security
Consumer interactions and experiences

Top 5 Edge AI Trends to Watch in 2023 — from nvidia.com by Amanda Saunders

Excerpt:

Until now, AI has operated almost exclusively in the cloud. But increasingly diverse streams of data are being generated around the clock from sensors at the edge. These require real-time inference, which is leading more AI deployments to move to edge computing.

For airports, stores, hospitals and more, AI brings advanced efficiency, automation and even cost reduction, which is why edge AI adoption accelerated last year.

In 2023, expect to see a similarly challenging environment, which will drive the following edge AI trends.

Digital transformation: 5 trends to watch in 2023 — from enterprisersproject.com by Ritish Reddy
As enterprises continue to digitally transform, IT leaders must look toward the future. Expect to see these trends in 2023

“Tech predictions for 2023 and beyond” — from allthingsdistributed.com by Werner Vogels, Chief Technology Officer at Amazon

Excerpts:

Prediction 1: Cloud technologies will redefine sports as we know them
Prediction 2: Simulated worlds will reinvent the way we experiment
Prediction 3: A surge of innovation in smart energy
Prediction 4: The upcoming supply chain transformation
Prediction 5: Custom silicon goes mainstream

After playing with in for the past 24 hours, I believe #ChatGPT is going to change the world, including the world of law and legal education. Ignore it at your peril. #AI #innovation #legaltech

— Gabe Teninbaum (@GTeninbaum) December 3, 2022

More interesting results from #ChatGPT. I entered the same prompt about a bicycle accident twice — once bracketed by clear messaging that I was looking for legal advice, once without that messaging. Check out the differences. pic.twitter.com/BJJiGjAvs6

— Jordan Furlong (@jordan_law21) December 6, 2022

Example resources:

Trends in legal technology post-pandemic — by Caroline Boudreau Sweeney
Trends in Legal technology — by CIOReview

Also see:

PODCAST EPISODE 369: USING SPACED REPETITION FOR YOUR LAW SCHOOL AND BAR EXAM STUDIES (W/GABRIEL TENINBAUM)

In this episode we discuss:

Some background on our guest Gabe Teninbaum, and why he’s passionate about spaced repetition
The theory behind spaced repetition and how it works in practice
Using spaced repetition to memorize material as a law student
How early in your study should you start using the spaced repetition technique?
Does learning with spaced repetition as a law student help lay the foundation for bar study?
How you can use the spacedrepetition.com website for your law school and bar exam studies

“10 Must Read Books for Learning Designers” [Garg] + “10 must-read tech books for 2023” [Sanders]

On 11/29/2022, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Bias | Diversity Equity & Inclusion (DE&I), cloud-based computing / apps / other cloud-related, colleges, community colleges, computer science, corporate universities / corporate training, data related items, education, emerging technologies, ethics, faculty, future, higher education, human-computer interaction (HCI), instructional design, K-12 related, learning, learning ecosystem, Learning Experience Design, learning theories, memory, Microsoft, pedagogy, personalized/customized learning, productivity / tips and tricks, research, student-related, teachers, teaching & learning, technology (general), training / L&D, universities, by Daniel Christian

10 Must Read Books for Learning Designers — from linkedin.com by Amit Garg

Excerpt:

From the 45+ #books that I’ve read in last 2 years here are my top 10 recommendations for #learningdesigners or anyone in #learninganddevelopment

Speaking of recommended books (but from a more technical perspective this time), also see:

10 must-read tech books for 2023 — from enterprisersproject.com by Katie Sanders (Editorial Team)
Get new thinking on the technologies of tomorrow – from AI to cloud and edge – and the related challenges for leaders

Learning Ecosystems

A very powerful, thought-provoking read: “You are not a parrot.” [Weil & Bender]

Several months’ worth of labor market updates from Handshake’s blog

Digital Trends’ Tech For Change CES 2023 Awards [Prindle]

Top challenges for L&D leaders in 2023 + other items related to L&D

Check this confluence of emerging technologies out!!!

“Tech predictions for 2023 and beyond” from the Chief Technology Officer at Amazon

“I believe #ChatGPT is going to change the world, including the world of law & legal education. Ignore it at your peril.” [Teninbaum] Plus other legal-related items.

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