learning theories

From DSC: You NEED this extension! Clear away the clutter from all of your web-based articles. Instantly.

On 08/14/2024, in Daniel S. Christian, digital learning, education technology, Google, learning theories, productivity / tips and tricks, professional development, reading, tools, usability, user experience (UX), user interface design, vendors, by Daniel Christian

From DSC:
[For those folks who use Google Chrome]

When you keep getting distracted from all of the extraneous items — such as those annoying videos and advertisements — that appear when you launch a web page, there is a solution to quickly hiding all of those items. It’s called Postlight Reader. I’ve been using it for years and wanted to put this information out there for folks who might not have heard about it.

I highly recommend it if you are having trouble reading an article and processing the information that it contains. Instructional Designers will know all about Extraneous Load (one of the types of Cognitive Load) and how it negatively impacts one’s learning and processing of the information that really counts (i.e., the Germane Cognitive Load).

Note the differences when I used Postlight Reader on an article out at cbsnews.com:

The page appears with all kinds of ads and videos going on…I can hardly
process the information on the article due to these items:

Then, after I enabled this extension in Chrome and click on
the icon for Postlight Reader, it strips away all of those items
and leaves me with the article that I wanted to read:

If you aren’t using it, I highly recommend that you give it a try.

Postlight Reader – Clear away the clutter from all of your articles. Instantly.

The Postlight Reader extension for Chrome removes ads and distractions, leaving only text and images for a clean and consistent reading view on every site. Features:

Disable surrounding webpage noise and clutter with one click
Send To Kindle functionality
Adjust typeface and text size, and toggle between light or dark themes
Quick keyboard shortcut (Cmd + Esc for Mac users, Alt + ` for Windows users) to switch to Reader on any article page
Printing optimization
Sharing through Facebook, Twitter and Email

14+ resources regarding AI in our learning ecosystems

On 08/13/2024, in adjunct faculty, adult learning, Australia, CMS/LMS, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, elearning, emerging technologies, experimentation, faculty, Google, heutagogy, higher education, human-computer interaction (HCI), ideas, instructional design, intelligent systems, IT in HE, K-12 related, law schools, leadership, learning, learning ecosystem, Learning Experience Design, learning theories, lifelong learning, Microsoft, multimedia, Open AI, platforms, policy, productivity / tips and tricks, religion, strategy, student-related, teachers, teaching & learning, tools, training / L&D, United States, universities, vendors, by Daniel Christian

What Students Want When It Comes To AI — from onedtech.philhillaa.com by Glenda Morgan
The Digital Education Council Global AI Student Survey 2024

The Digital Education Council (DEC) this week released the results of a global survey of student opinions on AI. It’s a large survey with nearly 4,000 respondents conducted across 16 countries, but more importantly, it asks some interesting questions. There are many surveys about AI out there right now, but this one stands out. I’m going to go into some depth here, as the entire survey report is worth reading.

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AI is forcing a teaching and learning evolution — from eschoolnews.com by Laura Ascione
AI and technology tools are leading to innovative student learning–along with classroom, school, and district efficiency

Key findings from the 2024 K-12 Educator + AI Survey, which was conducted by Hanover Research, include:

Teachers are using AI to personalize and improve student learning, not just run classrooms more efficiently, but challenges remain
While post-pandemic challenges persist, the increased use of technology is viewed positively by most teachers and administrators
…and more

From DSC:
I wonder…how will the use of AI in education square with the issues of using smartphones/laptops within the classrooms? See:

Why Schools Are Racing to Ban Student Phones — from nytimes.com by Natasha Singer; via GSV
As the new school year starts, a wave of new laws that aim to curb distracted learning is taking effect in Indiana, Louisiana and other states.

A three-part series from Dr. Phillippa Hardman:

Part 1: Writing Learning Objectives
The Results Part 1: Writing Learning Objectives

In this week’s post I will dive into the results from task 1: writing learning objectives. Stay tuned over the next two weeks to see all of the the results.

Part 2: Selecting Instructional Strategies.
The Results Part 2: Selecting an Instructional Strategy

Welcome back to our three-part series exploring the impact of AI on instructional design.
…
This week, we’re tackling a second task and a crucial aspect of instructional design: selecting instructional strategies. The ability to select appropriate instructional strategies to achieve intended objectives is a mission-critical skill for any instructional designer. So, can AI help us do a good job of it? Let’s find out!

Part 3: How Close is AI to Replacing Instructional Designers?
The Results Part 3: Creating a Course Outline

Today, we’re diving into what many consider to be the role-defining task of the instructional designer: creating a course design outline.

ChatGPT Cheat Sheet for Instructional Designers! — from Alexandra Choy Youatt EdD

Instructional Designers!
Whether you’re new to the field or a seasoned expert, this comprehensive guide will help you leverage AI to create more engaging and effective learning experiences.

What’s Inside?
Roles and Tasks: Tailored prompts for various instructional design roles and tasks.
Formats: Different formats to present your work, from training plans to rubrics.
Learning Models: Guidance on using the ADDIE model and various pedagogical strategies.
Engagement Tips: Techniques for online engagement and collaboration.
Specific Tips: Industry certifications, work-based learning, safety protocols, and more.

Who Can Benefit?
Corporate Trainers
Curriculum Developers
E-Learning Specialists
Instructional Technologists
Learning Experience Designers
And many more!
…

ChatGPT Cheat Sheet | Instructional Designer

5 AI Tools I Use Every Day (as a Busy Student) — from theaigirl.substack.com by Diana Dovgopol
AI tools that I use every day to boost my productivity.
#1 Gamma
#2 Perplexity
#3 Cockatoo

I use this AI tool almost every day as well. Since I’m still a master’s student at university, I have to attend lectures and seminars, which are always in English or German, neither of which is my native language. With the help of Cockatoo, I create scripts of the lectures and/or translations into my language. This means I don’t have to take notes in class and then manually translate them afterward. All I need to do is record the lecture audio on any device or directly in Cockatoo, upload it, and then you’ll have the audio and text ready for you.

…and more

Students Worry Overemphasis on AI Could Devalue Education — from insidehighered.com by Juliette Rowsell
Report stresses that AI is “new standard” and universities need to better communicate policies to learners.

Rising use of AI in higher education could cause students to question the quality and value of education they receive, a report warns.

This year’s Digital Education Council Global AI Student Survey, of more than 3,800 students from 16 countries, found that more than half (55 percent) believed overuse of AI within teaching devalued education, and 52 percent said it negatively impacted their academic performance.

Despite this, significant numbers of students admitted to using such technology. Some 86 percent said they “regularly” used programs such as ChatGPT in their studies, 54 percent said they used it on a weekly basis, and 24 percent said they used it to write a first draft of a submission.

Higher Ed Leadership Is Excited About AI – But Investment Is Lacking — from forbes.com by Vinay Bhaskara

As corporate America races to integrate AI into its core operations, higher education finds itself in a precarious position. I conducted a survey of 63 university leaders revealing that while higher ed leaders recognize AI’s transformative potential, they’re struggling to turn that recognition into action.

This struggle is familiar for higher education — gifted with the mission of educating America’s youth but plagued with a myriad of operational and financial struggles, higher ed institutions often lag behind their corporate peers in technology adoption. In recent years, this gap has become threateningly large. In an era of declining enrollments and shifting demographics, closing this gap could be key to institutional survival and success.

The survey results paint a clear picture of inconsistency: 86% of higher ed leaders see AI as a “massive opportunity,” yet only 21% believe their institutions are prepared for it. This disconnect isn’t just a minor inconsistency – it’s a strategic vulnerability in an era of declining enrollments and shifting demographics.

(Generative) AI Isn’t Going Anywhere but Up — from stefanbauschard.substack.com by Stefan Bauschard
“Hype” claims are nonsense.

There has been a lot of talk recently about an “AI Bubble.” Supposedly, the industry, or at least the generative AI subset of it, will collapse. This is known as the “Generative AI Bubble.” A bubble — a broad one or a generative one — is nonsense. These are the reasons we will continue to see massive growth in AI.

AI Readiness: Prepare Your Workforce to Embrace the Future — from learningguild.com by Danielle Wallace

Artificial Intelligence (AI) is revolutionizing industries, enhancing efficiency, and unlocking new opportunities. To thrive in this landscape, organizations need to be ready to embrace AI not just technologically but also culturally.

Learning leaders play a crucial role in preparing employees to adapt and excel in an AI-driven workplace. Transforming into an AI-empowered organization requires more than just technological adoption; it demands a shift in organizational mindset. This guide delves into how learning leaders can support this transition by fostering the right mindset attributes in employees.

Claude AI for eLearning Developers — from learningguild.com by Bill Brandon

Claude is fast, produces grammatically correct text, and outputs easy-to-read articles, emails, blog posts, summaries, and analyses. Take some time to try it out. If you worry about plagiarism and text scraping, put the results through Grammarly’s plagiarism checker (I did not use Claude for this article, but I did send the text through Grammarly).

Survey: Top Teacher Uses of AI in the Classroom — from thejournal.com by Rhea Kelly

A new report from Cambium Learning Group outlines the top ways educators are using artificial intelligence to manage their classrooms and support student learning. Conducted by Hanover Research, the 2024 K-12 Educator + AI Survey polled 482 teachers and administrators at schools and districts that are actively using AI in the classroom.

More than half of survey respondents (56%) reported that they are leveraging AI to create personalized learning experiences for students. Other uses included providing real-time performance tracking and feedback (cited by 52% of respondents), helping students with critical thinking skills (50%), proofreading writing (47%), and lesson planning (44%).

On the administrator side, top uses of AI included interpreting/analyzing student data (61%), managing student records (56%), and managing professional development (56%).

Addendum on 8/14/24:

“Designing your classroom” + “A Starter Pack of Resources for New Teachers” [edutopia.org]

On 08/01/2024, in design, education, K-12 related, learning, learning ecosystem, learning spaces, learning theories, teachers, United States, by Daniel Christian

Designing your classroom — from edutopia.org

As back-to-school season approaches, we know you’re gearing up to design your next classroom. It can be daunting to craft a space that does it all: boosts academic achievement, fosters collaboration, *and* makes students feel welcome and included.

That’s why we’ve curated a brand-new collection of 25 articles and videos—packed with research-backed insights and actionable strategies—to help find a layout that works best for you and your students. Topics range from optimizing your classroom walls to creating an environment that supports a wide range of executive functioning skills. Whether you’re a teacher or an administrator, these essential resources are designed to guide you through every stage of classroom setup.

Also from edutopia.org, see:

A Starter Pack of Resources for New Teachers — from edutopia.org
We’ve pulled together articles and videos in which educators—both veteran and new—share what they wish they knew on day one about classroom design, assessment, working with parents, and more.

Also re: the K-12 learning ecosystem, see:

As climate changes fuels hotter temperatures, kids are learning less — from hechingerreport.org by Jessica Kutz
Rising temperatures mean dehydrated, exhausted kids, but some policy makers are starting to take notice
5 More of My Favorite Beginning-of-Year Resources — from thebrokencopier.substack.com by Marcus Luther and The Broken Copier
And just like last year’s post, I’ve included templates/tools you for your classroom
Advice for New Teachers From a Teacher of the Year — from edutopia.org by Rebecka Peterson
Try implementing four simple ways of thinking to help guide you through your evolution as an educator.

Learning Engineering: New Profession or Transformational Process? [Grush & Wagner]

On 07/16/2024, in colleges, community colleges, education, faculty, higher education, instructional design, learning, learning ecosystem, Learning Experience Design, learning spaces, learning theories, research, teachers, teaching & learning, United States, universities, by Daniel Christian

Learning Engineering: New Profession or Transformational Process? A Q&A with Ellen Wagner — from campustechnology.com by Mary Grush and Ellen Wagner

“Learning is one of the most personal things that people do; engineering provides problem-solving methods to enable learning at scale. How do we resolve this paradox?“

—Ellen Wagner

Wagner: Learning engineering offers us a process for figuring that out! If we think of learning engineering as a process that can transform research results into learning action there will be evidence to guide that decision-making at each point in the value chain. I want to get people to think of learning engineering as a process for applying research in practice settings, rather than as a professional identity. And by that I mean that learning engineering is a bigger process than what any one person can do on their own.

From DSC:
Instructional Designers, Learning Experience Designers, Professors, Teachers, and Directors/Staff of Teaching & Learning Centers will be interested in this article. It made me think of the following graphic I created a while back:
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We need to take more of the research from learning science and apply it in our learning spaces.

Reflections on “The Musician’s Rule and GenAI in Education” [Wiley]

On 06/19/2024, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, colleges, community colleges, content development, aggregation, repositories, Daniel S. Christian, education technology, emerging technologies, experimentation, faculty, future of higher education, game-changing environment, generational differences, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, leadership, learning, learning agents, learning ecosystem, Learning Experience Design, learning theories, liberal arts, pace of change, pedagogy, platforms, professional development, research, strategy, teaching & learning, tools, trends, United States, universities, using teams, by Daniel Christian

The Musician’s Rule and GenAI in Education — from opencontent.org by David Wiley

We have to provide instructors the support they need to leverage educational technologies like generative AI effectively in the service of learning. Given the amount of benefit that could accrue to students if powerful tools like generative AI were used effectively by instructors, it seems unethical not to provide instructors with professional development that helps them better understand how learning occurs and what effective teaching looks like. Without more training and support for instructors, the amount of student learning higher education will collectively “leave on the table” will only increase as generative AI gets more and more capable. And that’s a problem.

From DSC:
As is often the case, David put together a solid posting here. A few comments/reflections on it:

I agree that more training/professional development is needed, especially regarding generative AI. This would help achieve a far greater ROI and impact.
The pace of change makes it difficult to see where the sand is settling…and thus what to focus on
The Teaching & Learning Groups out there are also trying to learn and grow in their knowledge (so that they can train others)
The administrators out there are also trying to figure out what all of this generative AI stuff is all about; and so are the faculty members. It takes time for educational technologies’ impact to roll out and be integrated into how people teach.
As we’re talking about multiple disciplines here, I think we need more team-based content creation and delivery.
There needs to be more research on how best to use AI — again, it would be helpful if the sand settled a bit first, so as not to waste time and $$. But then that research needs to be piped into the classrooms far better.
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We need to take more of the research from learning science and apply it in our learning spaces.

How to Make the Dream of Education Equity (or Most of It) a Reality — from nataliewexler.substack.com by Natalie Wexler
Studies on the effects of tutoring–by humans or computers–point to ways to improve regular classroom instruction.

One problem, of course, is that it’s prohibitively expensive to hire a tutor for every average or struggling student, or even one for every two or three of them. This was the two-sigma “problem” that Bloom alluded to in the title of his essay: how can the massive benefits of tutoring possibly be scaled up? Both Khan and Zuckerberg have argued that the answer is to have computers, maybe powered by artificial intelligence, serve as tutors instead of humans.

From DSC:
I’m hoping that AI-backed learning platforms WILL help many people of all ages and backgrounds. But I realize — and appreciate what Natalie is saying here as well — that human beings are needed in the learning process (especially at younger ages).

But without the human element, that’s unlikely to be enough. Students are more likely to work hard to please a teacher than to please a computer.

Natalie goes on to talk about training all teachers in cognitive science — a solid idea for sure. That’s what I was trying to get at with this graphic:
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We need to take more of the research from learning science and apply it in our learning spaces.

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But I’m not as hopeful in all teachers getting trained in cognitive science…as it should have happened (in the Schools of Education and in the K12 learning ecosystem at large) by now. Perhaps it will happen, given enough time.

And with more homeschooling and blended programs of education occurring, that idea gets stretched even further.

K-12 Hybrid Schooling Is in High Demand — from realcleareducation.com by Keri D. Ingraham (emphasis below from DSC); via GSV

Parents are looking for a different kind of education for their children. A 2024 poll of parents reveals that 72% are considering, 63% are searching for, and 44% have selected a new K-12 school option for their children over the past few years. So, what type of education are they seeking?

Additional polling data reveals that 49% of parents would prefer their child learn from home at least one day a week. While 10% want full-time homeschooling, the remaining 39% of parents desire their child to learn at home one to four days a week, with the remaining days attending school on-campus. Another parent poll released this month indicates that an astonishing 64% of parents indicated that if they were looking for a new school for their child, they would enroll him or her in a hybrid school.

Conditions that trigger behaviour change — from peoplealchemy.com by Paul Matthews; via Learning Now TV

“Knowing is not enough; we must apply. Willing is not enough; we must do.”

Johann Wolfgang von Goethe

Learning Transfer’s ultimate outcome is behaviour change, so we must understand the conditions that trigger a behaviour to start.
…
According to Fogg, three specific elements must converge at the same moment for a specific behaviour to occur. Given that learning transfer is only successful when the learner starts behaving in the desired new ways, Fogg’s work is critical to understanding how to generate these new behaviours. The Fogg Behavioural Model [*1] states that B=MAP. That is, a specific behaviour will occur if at the same moment there is sufficient motivation, sufficient ability and sufficient prompt. If the behaviour does not occur, at least one of these three elements is missing or below the threshold required.

The prompt is, in effect, a call to action to do a specific behaviour. The prompt must be ‘loud’ enough for the target person to perceive it and be consciously aware of it. Once aware of a prompt, the target immediately, and largely unconsciously, assesses their ability to carry out the requested behaviour: how difficult would this be, how long will it take, who can help me, and so on. They base this on their perception of the difficulty of the requested behaviour, and their ability, as they see it, to achieve that behaviour.

“The 2024 Lawdragon 100 Leading AI & Legal Tech Advisors” [Dewey] + other legaltech-related items

On 03/16/2024, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, emerging technologies, entrepreneurship, human-computer interaction (HCI), innovation, law schools, learning theories, Legal operations, legal reform, legal technologies, legislatures / government / legal, library / librarians, policy, privacy, productivity / tips and tricks, vendors, by Daniel Christian

The 2024 Lawdragon 100 Leading AI & Legal Tech Advisors — from lawdragon.com by Katrina Dewey

These librarians, entrepreneurs, lawyers and technologists built the world where artificial intelligence threatens to upend life and law as we know it – and are now at the forefront of the battles raging within.
…
To create this first-of-its-kind guide, we cast a wide net with dozens of leaders in this area, took submissions, consulted with some of the most esteemed gurus in legal tech. We also researched the cases most likely to have the biggest impact on AI, unearthing the dozen or so top trial lawyers tapped to lead the battles. Many of them bring copyright or IP backgrounds and more than a few are Bay Area based. Those denoted with an asterisk are members of our Hall of Fame.
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Free Legal Research Startup descrybe.ai Now Has AI Summaries of All State Supreme and Appellate Opinions — from lawnext.com by Bob Ambrogi

descrybe.ai, a year-old legal research startup focused on using artificial intelligence to provide free and easy access to court opinions, has completed its goal of creating AI-generated summaries of all available state supreme and appellate court opinions from throughout the United States.

descrybe.ai describes its mission as democratizing access to legal information and leveling the playing field in legal research, particularly for smaller-firm lawyers, journalists, and members of the public.

From DSC:
Given this need…

We need to take more of the research from learning science and apply it in our learning spaces.
…I’m highlighting the following resources:

How Learning Happens — from edutopia.org
In this series, we explore how educators can guide all students, regardless of their developmental starting points, to become productive and engaged learners.

These techniques have resonated with educators everywhere: They are focused on taking advantage of the incredible opportunity to help children reach their full potential by creating positive relationships, experiences, and environments in which every student can thrive. In fact, the science is beginning to hint at even more dramatic outcomes. Practices explicitly designed to integrate social, emotional, and cognitive skills in the classroom, the research suggests, can reverse the damages wrought by childhood trauma and stress—while serving the needs of all students and moving them onto a positive developmental and academic path.

Also from edutopia.org recently, see:

How to Introduce Journaling to Young Children — from edutopia.org by Connie Morris
Students in preschool through second grade can benefit from drawing or writing to explore their thoughts and feelings.

The symbiotic relationship between reading and writing can help our youngest students grow their emergent literacy skills. The idea of teaching writing at an early age can seem daunting. However, meeting children where they are developmentally can make a journaling activity become a magical experience—and they don’t have to write words but can convey thoughts in pictures.

7 Digital Tools That Help Bring History to Life — from edutopia.org by Daniel Leonard
Challenging games, fun projects, and a healthy dose of AI tools round out our top picks for breathing new life into history lessons.

We’ve compiled a list of seven teacher-tested tools, and we lay out how educators are using them both to enhance their lessons and to bring history closer to the present than ever.

Integrating Technology Into Collaborative Professional Learning — from edutopia.org by Roxi Thompson
Incorporating digital collaboration into PD gives teachers a model to replicate when setting up tech activities for students.

AI Can Teach Students a Powerful Lesson About the Truth — from edweek.org by Rachna Nath
How I’m harnessing ChatGPT in the classroom

What we teachers desperately need, though, is an ocean of examples and training. We need to see and share examples of generative AI—any type of artificial intelligence that can be used to create new text, images, video, audio, code, or data—being used across the curriculum. We need catalogs of new lesson plans and new curriculum.

And we need training on theoretical and practical levels: training to understand what artificial intelligence actually is and where it stands in the development timeline and training about how to integrate it into our classes.

So, my advice to teachers is to use any and all the generative AI you can get your hands on. Then experience—for yourself—verification of the information. Track it back to the source because in doing so, you’ll land on the adjustments you need to make in your classes next year.

From DSC:
Interesting.

Learners can now seamlessly transition between AI-powered assistance (AI Tutor) and Live Expert support to get access to instant support, whether through AI-guided learning or real-time interactions with a human expert.

From Brainly Enrolls New AI-Powered Tools for More
Personalized and Accessible Learning (businesswire.com)

ASSIGNMENT MAKEOVERS IN THE AI AGE WITH DEREK BRUFF — from teachinginhighered.com by Bonni Stachowiak
Derek Bruff shares about assignment makeovers in the AI age on episode 481 of the Teaching in Higher Ed podcast

Comment on this per Derek Bruff:

Why not ask ChatGPT to write what King or X would say about a current debate and then have the students critique the ChatGPT output? That would meet the same learning goals while also teaching AI literacy.

(Be sure to read Asim’s contribution for a useful take.)

Generative AI in Schools: A Closer Look and Future Predictions — from thejournal.com by Ted Mo Chen (emphasis DSC)

Here’s a closer look at the concurrent AI landscape in schools — and a prediction of what the future holds.

So far, high-profile ventures in the instruction realm, such as Kyron Learning, have fused teacher-produced, recorded content with LLM-powered conversational UX. The micro-learning tool Nolej references internet material when generating tasks and tests, but always holds the language model closely to the ground truth provided by teachers. Both are intriguing takes on re-imagining how to deliver core instruction and avoid hallucinations (generated content that is nonsensical).

Also see this posting on LinkedIn about that article, where Ted Mo Chen mentions the following companies:

Companies to watch:

New report: Trends in Learning 2023 — from open.ac.uk by Professor Agnes Kukulska-Hulme

So, what six trends have we chosen for this year’s report? They are: advances in AI, the metaverse and learning, challenge-based learning, entrepreneurial learning, seeing yourself in the curriculum and multimodal learning. In the report, we discuss each of the trends in turn, why we think they are important and the impact they are already having or will have on workplace learning. We have also interviewed six people, experts in their field, to find out their opinions and experiences of the trends, sharing their insights in the report.

Unity executive shares her thoughts on the future of education and technology with the rise in popularity of A.I. and real-time 3D content — from fortune.com by Preston Fore

As a result, real-time 3D jobs are among the most in demand within the tech industry. According to Unity’s vice president of Education and Social Impact, Jessica Lindl, demand is 50% higher than traditional IT jobs—adding that salaries for real-time 3D jobs are 60% greater.

“We want to provide really simple on ramps and pathways that will lead you into entry level jobs so that at any point in your career, you can decide to transfer into the industry,” Lindl says.

How universities worldwide are responding to generative AI — from linkedin.com by University World News

University World News continues its exploration of generative AI in our new special report on ‘AI and Higher Education’. In commentaries and features, academics and our journalists around the world investigate issues and developments around AI that are impacting on universities. Generative AI tools are challenging and changing higher education systems and institutions — how they are run as well as ways of teaching and learning and conducting research.

We’ve collated the lead articles below for you to read and the full report is available here.

What’s the future of generative AI? An early view in 15 charts — from mckinsey.com
Generative AI has hit the ground running—so fast that it can feel hard to keep up. Here’s a quick take pulled from our top articles and reports on the subject.

Teaching in the Age of AI — from cft.vanderbilt.edu by Michael Coley, Stacey M. Johnson, Paige Snay, Joe Bandy, John Bradley, and Ole Molvig

This guide will explore:

What is generative AI, and where can it be found?
How can I harness generative AI tools in my teaching to improve student learning?
How can I craft assignments that deter unauthorized use of generative AI?
How does academic integrity relate to generative AI tools?
What resources are there for instructors who want to engage with generative AI tools?

15 Inspirational Voices in the Space Between AI and Education — from jeppestricker.substack.com by Jeppe Klitgaard Stricker
Get Inspired for AI and The Future of Education.

My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI.

This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.

My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to.

I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.

It is crucial to recognize that the intrinsic value of higher education isn’t purely in its ability to adapt to market fluctuations or technological innovations. Its core strength lies in promoting critical thinking, nurturing creativity, and instilling a sense of purpose and belonging. As AI progresses, these traits will likely become even more crucial. The question then becomes if higher education institutions as we know them today are the ony ones, or indeed the best ones, equipped to convey those core strengths to students.

Higher education clearly finds itself caught in a whirlwind of transformation, both in its essence and execution. The juxtaposition of legacy structures and the evolving technological landscape paints a complex picture.

For institutional leaders, the dual challenge lies in proactively seeking and initiating change (not merely adapting to it) without losing sight of their foundational principles. Simultaneously, they must equip students with skills and perspectives that AI cannot replicate.

— from Is Higher Education Nearing the Tipping Point?
by Jeppe Klitgaard Stricker

EdTech Companies Are Racing to Build a Github Copilot for Teachers. This Will Not Be Easy. — from danmeyer.substack.com by Dan Meyer; via Matthew Tower
Generative AI has produced an extremely useful tool for software developers. Can it do the same for teachers?

Also, Matthew Tower, pulled this quote from The big problem with grades. / via Washington Post

“They begged, bargained with, and berated their instructor in pursuit of better grades — not “because they like points,” but rather, “because the education system has told them that these points are the currency with which they can buy a successful future.””

Start these 3 classroom habits ASAP! — from etrievalpractice.org by Pooja K. Agarwal, Ph.D.

Habit #2: Engage students in a brain dump or two things as an entry ticket or exit ticket. Spend one minute or less having students write down everything (or just two things) they remember from class. The key: Don’t grade it! Keep retrieval practice no-stakes to emphasize it’s a learning strategy, not an assessment strategy.

Teaching from the heart in 13 steps — from timeshighereducation.com by Beiting He
Engaging your students through empathy requires teachers to share their own stories and vulnerabilities and foster a safe space for learning. Here, Beiting He offers 13 ways to create a caring classroom

Move student communication from passive to active using ‘I like, I wish, I wonder’ — from timeshighereducation.com by Rebeca Elizabeth Alvarado Ramírez
Rebeca Elizabeth Alvarado Ramírez introduces a methodology that encourages effective communication in digital learning processes

In summary, “I wish” is about proposing positive changes and improvements, while “I wonder” is about asking thoughtful questions to gain insight and foster meaningful conversations within the team.

10 ways for students to get repetitions for practice — from ditchthattextbook.com by Matt Miller

If we want students to remember – to lock new information or ideas into long-term memory – getting meaningful repetitions still is key. And the science of learning still backs that up.

So … if we want students to get repetitions to make new learning permanent, how can they do it? Here are 10 ways to help students get repetitions for practice – and how classroom technology can help.

MUST-TRY FIRST WEEK OF SCHOOL ACTIVITY IDEAS – EASY EDTECH PODCAST 225 — from classtechtips.com by Dr. Monica Burns

In this episode, I share ten engaging activities that combine education, technology, and plenty of fun to make the first week of class super memorable. From digital scavenger hunts to virtual field trips, hear about a few of my favorite ways to create an interactive start to your school year.

Tips for First Week of School Activity Ideas

Establish routines in a fun way.
Provide opportunities for collaboration.
Introduce tech tools that will be used all year.

From DSC:
Dr. Burns has a great list of tools/tips/resources in this posting.

Teaching: What does it take to elevate good teaching? A lot. — from chronicle.com by Beth McMurtrie

Advice guides for teaching
As the fall approaches, we want to remind readers that The Chronicle offers a range of free advice guides designed to help improve your teaching. They’re written by experts for instructors who want to gather ideas on creating a syllabus, teaching a good first day of class, making your teaching more engaging, improving classroom discussion, making your teaching more inclusive and being a better online teacher.

Four directions for assessment redesign in the age of generative AI— from timeshighereducation.com by Julia Chen
The rise of generative AI has led universities to rethink how learning is quantified. Julia Chen offers four options for assessment redesign that can be applied across disciplines

Direction 1: From written description to multimodal explanation and application

Direction 2: From literature review alone to referencing lectures

Direction 3: From presentation of ideas to defence of views

Direction 4: From working alone to student-staff partnership

Absenteeism Mires Recovery from Pandemic Learning Losses — from educationnext.org by Phyllis W. Jordan
But simple measures by schools can encourage better student attendance

Excerpt (emphasis DSC):

With the latest national test results showing a dispiriting lack of progress in catching students up academically in the wake of the pandemic, one potential explanation stands out: stubbornly high rates of student absenteeism. Vast numbers of students haven’t returned to class regularly since schools reopened.

From DSC:
Shouldn’t that tell us something?

So, you want to become an instructional designer? [Hobson]

On 07/14/2023, in career development, education technology, emerging technologies, instructional design, learning, Learning Experience Design, learning preferences, learning theories, research, workplace, by Daniel Christian

So, you want to become an instructional designer? — from drlukehobson.com by Luke Hobson

Excerpt:

The most significant problem I’ve seen for aspiring instructional designers is that they don’t have a solid plan in place with how to make acquiring a new job a reality. What does this involve? A monumental portion of instructional design is knowing about how learning works. Yes, there are other components about instructional design like technology, project management, relationship management, research, but at the end of the day, you need to know how people learn to design meaningful learning experiences. So, think of your instructional design journey as a learning experience. How would you reverse engineer this process to help you obtain your goal? Let’s start by asking a few questions:

Sources of Cognitive Load [learningscientists.org] + a video I created re: the Cognitive Load Theory [Christian]

On 07/13/2023, in adjunct faculty, attention, colleges, communities of practice, community colleges, Daniel S. Christian, faculty, instructional design, learning, Learning Experience Design, learning theories, memory, by Daniel Christian

Sources of Cognitive Load — from learningscientists.org

Excerpt:

Cognitive Load Theory is an influential theory from educational psychology that describes how various factors affect our ability to use our working memory resources. We’ve done a digest about cognitive load theory here and talked about it here and here, but haven’t provided an overview of the theory so I want to give an overview here.
…
Cognitive load theory provides useful and dynamic model for how many different factors affect working memory and learning. Hopefully this post provides a useful overview of some of the main components of cognitive load!

From DSC:
Along these lines, a while back I put together a video regarding cognitive load. It addresses at least two main questions:

What is cognitive load?
Why should I care about it?

Transcript here.

How do I put it into practice?

Simplify the explanations of what you’re presenting as much as possible and break down complex tasks into smaller parts
Don’t place a large amount of text on a slide and then talk about it at the same time — doing so requires much more processing than most people can deal with.
Consider creating two versions of your PowerPoint files:
- A text-light version that can be used for presenting that content to students
- A text-heavy version — which can be posted to your LMS for the learners to go through at their own pace — and without trying to process so much information (voice and text, for example) at one time.
Design-wise:
- Don’t use decorative graphics — everything on a slide should be there for a reason
- Don’t use too many fonts or colors — this can be distracting
- Don’t use background music when you are trying to explain something

Shift to Providing Feedback as Students Work [Tucker]

On 07/07/2023, in education, ideas, instructional design, K-12 related, learning, Learning Experience Design, learning theories, pedagogy, teachers, teaching & learning, by Daniel Christian

Shift to Providing Feedback as Students Work — from catlintucker.com by Caitlin Tucker

Excerpt:

How can pulling feedback into the classroom help students develop confidence and improve their self-regulation skills?

Feedback is one of the most powerful tools a teacher has to support students in achieving standards-aligned goals. Feedback also

Provides clarity on learning goals and expectations.
Guides students in understanding their strengths as well as areas in need of improvement.
Supports skill development and mastery of concepts.
Enhances metacognitive skills, such as self-regulation and self-monitoring.
Encourages engagement and active participation in the learning process.
Promotes a growth mindset and a belief in the potential for improvement.
Fosters effective communication and dialogue between teachers and students.
Builds confidence and self-efficacy in learners.

Learning Ecosystems

From DSC: You NEED this extension! Clear away the clutter from all of your web-based articles. Instantly.

Learning Engineering: New Profession or Transformational Process? [Grush & Wagner]

Reflections on “The Musician’s Rule and GenAI in Education” [Wiley]

Conditions that trigger behaviour change [Matthews]

“The 2024 Lawdragon 100 Leading AI & Legal Tech Advisors” [Dewey] + other legaltech-related items

“11 AI Educators to Follow”, “Teaching in the Age of AI,” + numerous other items re: AI in pedagogy

So, you want to become an instructional designer? [Hobson]

Sources of Cognitive Load [learningscientists.org] + a video I created re: the Cognitive Load Theory [Christian]

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