higher education

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/Agents/LLMs/and Related, 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/staff, 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.

Top edtech trends in 2023 and the ASU example — from news.asu.edu

Excerpt:

In spite of our tendency to break things down into tidy time frames, like a new year or academic semester, change constantly turns over the status quo. Especially in the world of technology, where disruptive innovation may evolve rapidly from the fringe to the mainstream.

“At ASU’s Enterprise Technology, we work in spaces where technology is not just revolutionizing higher education, but the world at large,” said Lev Gonick, chief information officer at Arizona State University. “We strive to be proactive, not reactive, to new paradigms changing the ways in which we work, learn and thrive.”

As referenced by the above article:

Technology Trends in Higher Education 2023 — from fierceeducation.com

Thus, the top higher education technology trends to watch out for in 2023 include Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Digital Twins, the Metaverse (including digital avatars and NFT art for use in the Metaverse and other Web3-based virtual environments), Internet of Things (IoT), Blockchain, Cloud, Gamification, and Chatbots. These technologies will support the expansion of the Digital Transformation of higher education going forward.

Also relevant/see:

Virtual Reality: Trends in Higher Ed for 2023 and Beyond — from fierceeducation.com by Susan Fourtané

Microsoft Plans to Build OpenAI, ChatGPT Features Into All Products — from wsj.com by Sam Schechner (behind paywall)
Offering for businesses and end users to be transformed by incorporating tools like ChatGPT, CEO Satya Nadella says

Excerpt:

DAVOS, Switzerland—Microsoft Corp. MSFT 2.86%increase; green up pointing triangle plans to incorporate artificial-intelligence tools like ChatGPT into all of its products and make them available as platforms for other businesses to build on, Chief Executive Satya Nadella said.

It’s a matter of time before the LMSs like Canvas and Anthology do the same. Really going to change the complexion of online learning.

Jared Stein; via Robert Gibson on LinkedIn

Also relevant/see:

Donald Clark’s thoughts out on LinkedIn re: Google and AI

Excerpt:

Microsoft are holding a lot of great cards in the AI game, especially ChatGPT-3, but Google also have a great hand, in fact they have a bird in the hand:

Sparrow, from Deepmind, is likely to launch soon. Their aim is to trump ChatGTP by having a chatbot that is more useful and reduces the risk of unsafe and inappropriate answers. In the released paper, they also indicate that it will have moral constraints. Smart move.

Hassabis has promised some sort of release in 2023. Their goal is to reduce wrong and invented information by linking it to Google Search and Scholar for citations.

Donald Clark’s thought re: Apple’s strategy for AI — from donaldclarkplanb.blogspot.com

Wonder Tools:7 ways to Use ChatGPT — from wondertools.substack.com by Jeremy Caplan

Excerpt:

4 recommended ChatGPT resources

The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective Prompts.
This free e-book acts a useful guide for beginners.
Collection of ChatGPT Resources
Use ChatGPT in Google Docs, WhatsApp, as a desktop app, with your voice, or in other ways with this running list of tools.
Awesome ChatGPT prompts
Dozens of clever pre-written prompts you can use to initiate your own conversations with ChatGPT to get it to reply as a fallacy finder or a journal reviewer or whatever else.
Writing for Renegades – Co-writing with AI
This free 17-page resource has writing exercises you can try with ChatGPT. It also includes interesting nuggets, like Wycliffe A. Hill’s 1936 attempt at writing automation, Plot Genie.

We often see the battle between technology and humans as a zero-sum game. And that’s how much of the discussion about ChatGPT is being framed now. Like many others who have been experimenting with ChatGPT in recent weeks, I find that a lot of the output depends on the input. In other words, the better the human question, the better the ChatGPT answer.

So instead of seeing ourselves competing with technology, we should find ways to complement it and view ChatGPT as a tool that assists us in collecting information and in writing drafts.

If we reframe the threat, think about how much time can be freed up to read, to think, to write?

As many have noted, including Michael Horn on the Class Disrupted podcast he co-hosts, ChatGPT is to writing what calculators were once to math and other STEM disciplines.

Jeff Selingo: ‘The Calculator’ for a New Generation?

GPT in Higher Education — from insidehighered.com by Ray Schroeder
ChatGPT has caught our attention in higher education. What will it mean in 2023?

Excerpt:

Founder and CEO at Moodle Martin Dougiamas writes in Open Ed Tech that as educators, we must recognize that artificial general intelligence will become ubiquitous. “In short, we need to embrace that AI is going to be a huge part of our lives when creating anything. There is no gain in banning it or avoiding it. It’s actually easier (and better) to use this moment to restructure our education processes to be useful and appropriate in today’s environment (which is full of opportunities).”

Who, at your institution, is examining the impact of AI, and in particular GPT, upon the curriculum? Are instructional designers working with instructors in revising syllabi and embedding AI applications into the course offerings? What can you do to ensure that your university is preparing learners for the future rather than the past?

Ray Schroeder

ChatGPT Advice Academics Can Use Now — from insidehighered.com by Susan D’Agostino
To harness the potential and avert the risks of OpenAI’s new chat bot, academics should think a few years out, invite students into the conversation and—most of all—experiment, not panic.

How AI Can Enhance Education via @BlessTheTeacher https://t.co/Qpo9IIMECf pic.twitter.com/iIAGwNfjMw

— juandoming (@juandoming) January 17, 2023

Alarmed by AI Chatbots, Universities Start Revamping How They Teach — from The New York Times (out at Yahoo) by Kalley Huang

Excerpt:

At schools including George Washington University in Washington, D.C., Rutgers University in New Brunswick, New Jersey, and Appalachian State University in Boone, North Carolina, professors are phasing out take-home, open-book assignments — which became a dominant method of assessment in the pandemic but now seem vulnerable to chatbots. They are instead opting for in-class assignments, handwritten papers, group work and oral exams.

Gone are prompts like “write five pages about this or that.” Some professors are instead crafting questions that they hope will be too clever for chatbots and asking students to write about their own lives and current events.

With ChatGPT, Teachers Can Plan Lessons, Write Emails, and More. What’s the Catch? — from edweek.org by Madeline Will (behind paywall)

Why Banning ChatGPT in Class Is a Mistake — from campustechnology.com by Thomas Mennella
Artificial intelligence can be a valuable learning tool, if used in the right context. Here are ways to embrace ChatGPT and encourage students to think critically about the content it produces.

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Let the Lawsuits Against Generative AI Begin! — from legallydisrupted.com by Zach Abramowitz
Getty Sues Stability AI as Lawsuits Mount Against GenAI Companies

Excerpt:

Well, it was bound to happen. Anytime you have a phenomenon as disruptive as generative AI, you can expect lawsuits.

Case in point: the lawsuit recently filed by Getty Images against Stability AI, highlighting the ongoing legal challenges posed by the use of AI in the creative industries. But it’s not the only lawsuit recently filed, see e.g. Now artists sue AI image generation tools Stable Diffusion, Midjourney over copyright | Technology News, The Indian Express

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College Guide for Students with Disabilities and Their Parents [ivypanda.com]

On 01/20/2023, in accessibility / UDL, Bias | Diversity Equity & Inclusion (DE&I), colleges, community colleges, higher education, IT in HE, law schools, neurodivergent/special needs, UK, United States, universities, vendors, by Daniel Christian

College Guide for Students with Disabilities and Their Parents — from ivypanda.com; with thanks to Yvonne McQuarrie for this resource

Excerpt:

According to recent statistics, 18% of undergraduate and 12% of graduate students have temporary, relapsing, or long-term disabilities. Students might have noticeable disabilities, but many disorders are “hidden.” Luckily, modern colleges have many resources that allow people with disabilities to attend classes and thrive in their academic life. This guide will focus on the advice that can help students with disabilities successfully navigate their higher education.

A New Generation Of Mastery-Based Learning Platforms Has Arrived — from joshbersin.com by Josh Bersin

Excerpt:

The $330 billion corporate training market is enormous, fragmented, and complex. For years it was dominated by Learning Management Systems (LMS) and content providers, each pioneered in the early 2000s. These systems served well, but the needs of employees and organizations moved ahead.

Today companies want not only a place to find and administer learning, they want a “Learning Platform” that creates mastery. And this market, that of “Learning Delivery Platforms,” is far more complex than you think. Let me put it straight: video-based chapter by chapter courses don’t teach you much. Companies want a solution that is expert-led, engaging, includes assignments and coaching, and connects employees to experts and peers.

Well there’s a new breed of platforms focused in this area, and I call them Capability Academy systems.

These are platforms explicitly to bring together expert teachers, AI-enabled collaboration, assignments, and coaching to drive mastery. They can train thousands of people in small cohorts, offering hands-on support for technical or PowerSkills topics. And the results are striking: these vendors achieve 90% completion rates and netPromoter scores above 60 (far above traditional content libraries).

6 Ed Tech Tools to Try in 2023 — from cultofpedagogy.com by Jennifer Gonzalez

Excerpt:

The guide is packed with tools that can meet so many of your needs as a teacher, and many of them are already well established and widely used. But every January, we like to choose six that we think deserve a little extra attention. Most are not actually brand-new to the world, but each one has something special about it. So here we go!

6 Google Scholar Tips From Its Co-Creator — from techlearning.com by Erik Ofgang
Google Scholar can be a great tool for teachers and their students. Here’s how to get the most out of it.

Excerpt:

Anurag Acharya co-created Google Scholar in 2004. The Google engineer and former professor of computer science at the University of California at Santa Barbara was inspired to create the free search tool after being frustrated by being unable to access research articles as a student at the Kharagpur campus of the Indian Institute of Technology.

Today, Acharya is head of Google Scholar and an authority on how the scholarly search engine can best be used by teachers and their students. He offers these tips and best practices for teachers to use and share with their students.

Instructional Designer: Tools of the Trade Webinar 3/8 (from Teaching: A Path to L&D) and tools of the trade

Teaching: A Path to L&D aims to provide free guidance to teachers looking to move into the world of Learning and Development, specifically Instructional Design. Check out our website at www.teachlearndev.org for free coaching, webinars, and resources to help you on your journey!

“Hard Truths That Higher Education Has Evaded for Too Long” [Mintz] + several other HE-related items

On 01/17/2023, in adjunct faculty, Bias | Diversity Equity & Inclusion (DE&I), business side of he, career development, colleges, community colleges, credentialing, health, higher education, leadership, learning ecosystem, liberal arts, online learning, skills, strategy, United States, universities, by Daniel Christian

Hard Truths That Higher Education Has Evaded for Too Long — from insidehighered.com by Steven Mintz
The brutal truths that institutions don’t want to acknowledge.

If we want to make higher education truly equitable and produce the learning outcomes that we claim to seek, then we must confront painful truths no matter how uncomfortable they make us.

Preaching to, and Challenging, the Liberal Arts Choir — from insidehighered.com by Doug Lederman
In a conversation with presidents of small private colleges, tech company executives praise graduates’ leadership and critical thinking ability but say they need to develop skills for a first job, too.

Excerpt:

In that more competitive landscape, Ferrick and others said, colleges should think in terms of “both-and”—delivering a four-year degree grounded in the liberal arts that remains the best preparation for a lifetime career, yes, but also building into their curricula more practical digital and other skills that can help graduates compete for a first job.

The Edge: Momentum Builds for ‘Credential as You Go’ — from chronicle.com by Goldie Blumenstyk

Excerpt:

A higher-ed credential system that’s ‘not all about degrees.’
Holly Zanville has a clear goal for the Credential as You Go initiative she co-leads: Shift the entire “degree-centric” model of postsecondary education to make it easier for people to develop skills and knowledge in shorter chunks while recognizing “meaningful learning along the way.”

Whatever you think of its prospects, you can hardly fault the effort for a lack of ambition.

Ideally, students will layer incremental credentials over a lifetime of learning.

Goldie Blumenstyk

Issue #11: Navigating the credential maze — from theview.substack.com by Gordon Macrae
Running to stand still.

Excerpt:

The credentials market for degree and non-degree programs is… complex.

A recent report from the non-profit Credential Engine identified 1,076,358 different credentials – from specialized certificates to bachelor’s degrees to PhDs.

Credential Engine started producing these reports in 2018. Back then there were “just” 334,114 credentials. In the last four years, the number of certifications has more than trebled. And from 2021 to 2022, there’s been a 38% increase in providers issuing certificates.

.

When you eyeball the largest higher ed institutions by enrollment comparing 2012 to today, it’s pretty clear that online degrees have driven – essentially – ALL of the growth.

Brandon Busteed commenting on Phil Hill’s posting (also listed below)

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Fall 2021 Largest Institutions by Total Enrollment and DE Type — from philonedtech.com by Phil Hill

Excerpt:

Based on reader request after yesterday’s post, I’d like to share another view of largest US higher education institutions, this one ranked by total enrollment with color coding of distance education (DE) type. This chart combines undergrad and grad student enrollments.

Mental Health Is the Top Student Stressor — from insidehighered.com by Johanna Alonso

Excerpt:

Fifty percent of college students cited their own mental health struggles as their top stressor going into 2023, according to a survey of 1,200 students nationwide conducted by the virtual health services provider TimelyMD. Thirty-nine percent of respondents said they were most concerned about their personal finances, and 37 percent named academics, while mass shootings and inflation were each cited by 35 percent.

14 Technology Predictions for Higher Education in 2023 [Kelly]

On 01/17/2023, in accessibility / UDL, adult learning, Artificial Intelligence/Agents/LLMs/and Related, 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.

Shared Course Preparation Checklist — from facultyecommons.com

Excerpt:

Utilizing the same master shell between multiple faculty is a great way to ensure students have the same experience regardless of who is facilitating the course. When developing and facilitating the course, you may want to consider the following areas within the course design and adjust elements to meet your personal preferences. You’ll want to review the following pages of the course and ensure the elements are tailored to meet your expectations and needs.

Rubric for Quality Course Videos — from facultyecommons.com

Excerpt:

Are you concerned about the quality of your recorded videos for your online courses? The Course Video Scoring Rubric below provides you with additional guidance on how to improve the quality of your online course multimedia content.

The rubric is divided into four criteria: Content, Audio, Visuals (Camera), and Visuals (Screen Capture). Each of those criteria contain multiple standards for which you can review your existing content. These specific standards are graded on a scale of 0-2 points, for a total of 26 points.

Download the Video Scoring Rubric to begin analyzing the video content in your courses! For more information on creating quality video in your online course, check out our on-demand webinar Recording Video for Your Online Course.

15 Insights From Learning Science That Help You Master New Things Faster — from medium.com by Eva Keiffenheim

Excerpt (emphasis DSC):

Learning how to learn is the meta-skill that accelerates everything else you do.

Once you understand the fundamentals of learning science, you can save hours every time you learn something new. You become more strategic in approaching new subjects and skills instead of relying on often ineffective learning methods many pick up in school.
…
Below are key insights I’ve learned about how we learn. Every single one will help you understand how your brain learns. By doing so, you’ll make better decisions on your journey to wisdom.

How Instructors Are Adapting to a Rise in Student Disengagement — from edsurge.com by Jeffrey R. Young

Excerpt:

SAN MARCOS, Texas — Live lecture classes are back at most colleges after COVID-19 disruptions, but student engagement often hasn’t returned to normal.

In the past year, colleges have seen a rise in students skipping lectures, and some reports indicate that students are more prone to staring at TikTok or other distractions on their smartphones and laptops during lecture class.

To see what teaching is like on campus these days, I visited Texas State University in October and sat in on three large lecture classes in different subjects.

ChatGPT Advice Academics Can Use Now — from insidehighered.com by Susan D’Agostino
To harness the potential and avert the risks of OpenAI’s new chat bot, academics should think a few years out, invite students into the conversation and—most of all—experiment, not panic.

Excerpt:

Faculty members and administrators are now reckoning in real time with how—not if—ChatGPT will impact teaching and learning. Inside Higher Ed caught up with 11 academics to ask how to harness the potential and avert the risks of this game-changing technology. The following edited, condensed advice suggests that higher ed professionals should think a few years out, invite students into the conversation and—most of all—experiment, not panic.

Next, consider the tools relative to your course. What are the cognitive tasks students need to perform without AI assistance? When should students rely on AI assistance? Where can an AI aid facilitate a better outcome? Are there efficiencies in grading that can be gained? Are new rubrics and assignment descriptions needed? Will you add an AI writing code of conduct to your syllabus? Do these changes require structural shifts in timetabling, class size or number of teaching assistants?

From DSC:
Faculty members, librarians, academic support staff, instructional designers, and more are going to have to be given some time to maneuver through this new environment. Don’t expect them to instantly have answers. No one does. Or rather, let me say, no one should claim that they have all of the answers.

Reflections on “What factors help active learning classrooms succeed?” [Talbert]

On 01/16/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, collaboration, colleges, communications, communities of practice, community colleges, corporate universities / corporate training, culture, Daniel S. Christian, design, digital audio, digital learning, digital video, distance education, education technology, engagement / engaging students, experimentation, face-to-face, faculty/staff, higher education, instructional design, interactivity, IT in HE, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning spaces, liberal arts, participation, pedagogy, research, social learning / networks, social media, strategy, student-related, teaching & learning, training / L&D, United States, universities, user experience (UX), using teams, videoconferencing, vision/possibilities, by Daniel Christian

What factors help active learning classrooms succeed? — from rtalbert.org Robert Talbert

Excerpt:

The idea that the space in which you do something, affects the thing you do is the basic premise behind active learning classrooms (ALCs).
…
The biggest message I get from this study is that in order to have success with active learning classrooms, you can’t just build them — they have to be introduced as part of an ecosystem that touches almost all parts of the daily function of a university: faculty teaching, faculty development and support, facilities, and the Registrar’s Office to name a few. Without that ecosystem before you build an ALC, it seems hard to have success with students after it’s built. You’re more likely to have an expensive showcase that looks good but ultimately does not fulfill its main purpose: Promoting and amplifying active learning, and moving the culture of a campus toward active engagement in the classroom.

From DSC:
Thank you Robert for your article/posting here! And thank you for being one of the few faculty members who:

Regularly share information out on LinkedIn, Twitter, and your blog (something that is all too rare for faculty members throughout higher education)
Took a sabbatical to go work at a company that designs and develops numerous options for implementing active learning setups throughout the worlds of higher education, K12 education, and the corporate world as well. You are taking your skills to help contribute to the corporate world, while learning things out in the corporate world, and then taking these learnings back into the world of higher education.

This presupposes something controversial: That the institution will take a stand on the issue that there is a preferred way to teach, namely active learning, and that the institution will be moving toward making active learning the default pedagogy at the institution. Putting this stake in the ground, and then investing not only in facilities but in professional development and faculty incentives to make it happen, again calls for vigorous, sustained leadership — at the top, and especially by the teaching/learning center director.

Robert Talbert

It takes a village — from chieflearningofficer.com by Joe Mitchell
Colleges, companies and training providers have a unique opportunity to work together to address tech worker shortages and create more opportunities and upward mobility.

Excerpt (emphasis DSC):

But what higher education institutions and companies need isn’t a totally new approach that ignores the old systems — it’s someone to act as connective tissue between them. Fortunately, an emerging cadre of education providers are doing just that: developing the curriculum to help students earn industry-recognized credentials that can help them get good jobs right away in high-demand fields, and then working with universities to get that curriculum to their students.

The environment seems ripe for this type of collaboration. A 2020 survey of business leaders found that 70 percent think higher education institutions should be more involved in job training. Nearly 90 percent say colleges and universities could help their students learn industry-specific knowledge and advanced technical skills.

“A resume is NOT a CV. They are completely different documents.”

On 01/07/2023, in adjunct faculty, business, career development, content development, aggregation, repositories, corporate / business world, faculty/staff, higher education, productivity / tips and tricks, reinvent, skills, surviving, workplace, by Daniel Christian

From DSC:
A few items re: ChatGPT — with some items pro-chat and other items against the use of ChatGPT (or at least to limit its use).

How About We Put Learning at the Center? — from insidehighered.com by John Warner
The ongoing freak-out about ChatGPT sent me back to considering the fundamentals.

Excerpt:

So, when people express concern that students will use ChatGPT to complete their assignments, I understand the concern, but what I don’t understand is why this concern is so often channeled into discussions about how to police student behavior, rather than using this as an opportunity to exam the kind of work we actually ask students (and faculty) to do around learning.

If ChatGPT can do the things we ask students to do in order to demonstrate learning, it seems possible to me that those things should’ve been questioned a long time ago. It’s why I continue to believe this technology is an opportunity for reinvention, precisely because it is a threat to the status quo.

Top AI conference bans use of ChatGPT and AI language tools to write academic papers — from theverge.com by James Vincent; with thanks to Anna Mills for this resource
AI tools can be used to ‘edit’ and ‘polish’ authors’ work, say the conference organizers, but text ‘produced entirely’ by AI is not allowed. This raises the question: where do you draw the line between editing and writing?

Excerpt:

The International Conference on Machine Learning (ICML) announced the policy earlier this week, stating, “Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless the produced text is presented as a part of the paper’s experimental analysis.” The news sparked widespread discussion on social media, with AI academics and researchers both defending and criticizing the policy. The conference’s organizers responded by publishing a longer statement explaining their thinking. (The ICML responded to requests from The Verge for comment by directing us to this same statement.)

I am protective of my organic writing process, but when it’s time to edit, ChatGPT sometimes helps me notice which sentences aren’t quite put together as they should be. When I ask it why it suggested a revision, it sometimes describes a word choice nuance I hadn’t thought of.

— Anna Mills, amills@mastodon.oeru.org, she/her (@EnglishOER) January 5, 2023

How to… use AI to teach some of the hardest skills — from oneusefulthing.substack.com by Ethan Mollick
When errors, inaccuracies, and inconsistencies are actually very useful

Excerpt:

Instead, I want to discuss the opportunity provided by AI, because it can help us teach in new ways. The very things that make AI scary for educators — its tedency to make up facts, its lack of nuance, and its ability to make excellent student essays — can be used to make education better.

This isn’t for some future theoretical version of AI. You can create assignments, right now, using ChatGPT, that we will help stretch students in knew ways. We wrote a paper with the instructions. You can read it here, but I also want to summarize our suggestions. These are obviously not the only ways to use AI to educate, but they solve some of the hardest problems in education, and you can start experimenting with them right now.

NYC education department blocks ChatGPT on school devices, networks — from ny.chalkbeat.org by Michael Elsen-Rooney

Excerpt:

New York City students and teachers can no longer access ChatGPT — the new artificial intelligence-powered chatbot that generates stunningly cogent and lifelike writing — on education department devices or internet networks, agency officials confirmed Tuesday.

Teachers v ChatGPT: Schools face new challenge in fight against plagiarism — from straitstimes.com by Osmond Chia; with thanks to Stephen Downes for this resource

Excerpt:

SINGAPORE – Teachers in Singapore say they will likely have to move from assignments requiring regurgitation to those that require greater critical thinking, to stay ahead in the fight against plagiarism.

This comes on the back of the rise of ChatGPT, an intelligent chatbot that is able to spin essays and solve mathematical equations in seconds.

ChatGPT Is Not Ready to Teach Geometry (Yet) — from educationnext.org by Paul T. von Hippel
The viral chatbot is often wrong, but never in doubt. Educators need to tread carefully.

Excerpt:

Can ChatGPT provide feedback and answer questions about math in a more tailored and natural way? The answer, for the time being, is no. Although ChatGPT can talk about math superficially, it doesn’t “understand” math with real depth. It cannot correct mathematical misconceptions, it often introduces misconceptions of its own; and it sometimes makes inexplicable mathematical errors that a basic spreadsheet or hand calculator wouldn’t make.

Here, I’ll show you.

Addendum on 1/9/23:

9 ways ChatGPT saves me hours of work every day, and why you’ll never outcompete those who use AI effectively. — from .linkedin.com by Santiago Valdarrama

A list for those who write code:

1. Explaining code…
Improve existing code…
Rewriting code using the correct style…
Rewriting code using idiomatic constructs…
Simplifying code…
Writing test cases…
Exploring alternatives…
Writing documentation…
Tracking down bugs…

Teaching: Will ChatGPT Change the Way You Teach? — from Chronicle.com by Beth McMurtrie

Excerpt:

Want to get involved in the conversation around AI writing tools? Here are a few resources you might find helpful.

Anna Mills has put together several documents:

Elsewhere, a group of professors is compiling examples of how instructors are using text generation technologies in their assignments. The results will be published in an open-access collection. You can find out more about the project on this site, Teaching with Text Generation Technologies.

If you’re rather listen to a discussion, here are a couple of webinars:

From DSC:
Below is another example of the need for Design Thinking as we rethink a cradle-to-grave learning ecosystem.

The United States Needs a Comprehensive Approach to Youth Policy — from cew.georgetown.edu

Excerpt (emphasis DSC):

On the education front, federal legislation serves as an umbrella for many state and local policies and programs. Education policy is further fragmented into K–12 and postsecondary silos.

An all-one-system approach to youth policy would support young people along the entire continuum of their journey from school to work. It would help them attain both postsecondary education and quality work experience to support their transitions from education to good jobs. In this modernized approach, preschools, elementary and secondary schools, community colleges, four-year universities, employers, and governments would all follow an integrated playbook, helping to smooth out young people’s path from pre-K–12 to college and work. To transform youth policy, systemic reforms should incorporate the following:

Subject: The Edge: Today’s Issues in Schools; Tomorrow’s Higher-Ed Challenges

Excerpts:

Issues like chronic absenteeism in big urban and rural districts, the impact of classroom shootings on kids, and schools’ struggles to handle teenagers’ mental-health challenges might not be day-to-day concerns for college leaders and those who work with them. But these will matter to higher ed in the not-so-distant future, as those K-to-12 students make their way to college. And they could matter even more if those students don’t ever even make it to college.

Words of wisdom:

Those of us who might be a little higher-ed siloed in our thinking on education would do well to widen our perspective.

From DSC:
And it isn’t just about the impacts of COVID-19 either — though those things are very important. We would do well to get out of our siloes and practice some high-level design thinking to implement a cradle-to-grave, lifelong learning ecosystem. The vocational and corporate training worlds are highly relevant here as well.

Learning Ecosystems

College Guide for Students with Disabilities and Their Parents [ivypanda.com]

“Hard Truths That Higher Education Has Evaded for Too Long” [Mintz] + several other HE-related items

“Shared Course Preparation Checklist” + other related items that faculty might be interested in

“But what higher education institutions and companies need isn’t a totally new approach that ignores the old systems — it’s someone to act as connective tissue between them.” [Mitchell]

“A resume is NOT a CV. They are completely different documents.”

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