For the first time, a physical neural network has successfully been shown to learn and remember “on the fly,” in a way inspired by and similar to how the brain’s neurons work.
The Rundown: University of Sydney researchers have created a “brain-like” nanowire network capable of learning and remembering in real-time, similar to that of human brain function.
The details:
The nanowire neural network self-organizes into patterns, functioning like the brain’s synapses by responding to electrical currents.
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.
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.)
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 asKyron 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).
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.
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.
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.
“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.””
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
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.
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.
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.
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
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.
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.
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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!
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
Why it matters: The best AI assistants will be the ones that require the least prompting. They’ll get to know who you are, what you need, and your modus operandi. Profiles are a good starting point, but we believe the game-changer will be larger context windows (that’s nerd-speak for the amount of context ChatGPT can handle). .
From DSC: And how about taking this a step further and remembering — or being able to access — our constantly updated Cloud-Based Learning Profiles?
In particular, TutorND’s emphasis on applying principles of cognitive science – the science of our how minds work – in tutoring practice has not only bolstered the interest and confidence of some of its tutors to pursue teaching, but also strengthened their instructional skills and meaningfully contributed to PK-12 student growth.
Today, TutorND trains and supports 175 tutors in schools across the greater South Bend community and across the country. Given that these tutors are students, faculty, and staff interested in cognitive science research and its application to student learning, they’re able to bridge theory and practice, assess the effectiveness of instructional moves, and foster learning experiences for students that are rigorous, affirming, and equitable.
A recent analysis by researchers at NYU, Princeton and the Wharton School finds that many of the jobs that will be most “exposed” to generative AI such as ChatGPT are in the college teaching profession.
One of the first narratives to emerge from the sudden explosion in usage of ChatGPT is the risk of students cheating on writing assignments.
But use by college teachers is growing quickly too, and adoption by educators may be critical to making the case that AI will augment the jobs humans are doing rather than replace them.
Each SmartCard features a special marker that, when scanned with a tablet, unlocks informative virtual content students can interact with using basic hand gestures and buttons. According to its developers, Justin Nappi and Sudiksha Mallick, SmartCards can be especially useful for neurodivergent students, including those with attention-deficit/hyperactivity disorder (ADHD), autism, or dyslexia.
Last week, as I was interviewing Shaun Vecera about a new initiative he directs at the University of Iowa, he made a comment that stopped me in my tracks. The initiative, Learning at Iowa, is meant to create a common vocabulary, based on cognitive science, to support learning across the university. It focuses on “the three M’s for effective learning”: mind-set, metacognition, and memory.
“Not because those are the wrong ways of talking about that. But when you talk about learning, I think you can easily see how these skills transfer across not just courses, but also transfer from the university into a career.”
From DSC: This reminds me of what I was trying to get at here — i.e., let’s provide folks with more information on learning how to learn.
When the researchers asked their interview subjects how they first learned about peer instruction, many more cited informal discussions with colleagues than cited more formal channels like workshops. Even fewer pointed to a book or an article.
So even when there’s a really well-developed recipe, professors aren’t necessarily reading it.
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In higher ed, teaching is often seen as something anyone who knows the content can automatically do. But the evidence suggests instead that teaching is an intellectual exercise that adds to subject-matter expertise.
This teaching-specific math knowledge, the researchers note, could be acquired in teacher preparation or professional development, however, it’s usually created on the job.
“Now, I’m much more apt to help them develop a deeper understanding of how people learn from a neuroscientific and cognitive-psychology perspective, and have them develop a model for how students learn.”
Erika Offerdahl, associate vp and director of the Transformational Change Initiative at WSU
From DSC: I love this part too:
There’s a role here, too, for education researchers. Not every evidence-based teaching practice has been broken into its critical components in the literature,
Why Studying Is So Hard, and What Teachers Can Do to Help— from edutopia.org by Laura McKenna Beginning in the upper elementary grades, research-backed study skills should be woven into the curriculum, argues psychology professor Daniel Willingham in a new book.
Excerpt:
The additional context for Willingham’s new book is that students often don’t know the best methods to study for tests, master complex texts, or take productive notes, and it’s difficult to explain to them why they should take a different tack. In the book, Willingham debunks popular myths about the best study strategies, explains why they don’t work, and recommends effective strategies that are based on the latest research in cognitive science.
I recently spoke to him about why listening to lectures isn’t like watching a movie, how our self-monitoring of learning is often flawed and self-serving, and when it’s too late to start teaching students good study skills.
Introducing: ChatGPT Edu-Mega-Prompts— from drphilippahardman.substack.com by Dr. Philippa Hardman; with thanks to Ray Schroeder out on LinkedIn for this resource How to combine the power of AI + learning science to improve your efficiency & effectiveness as an educator
From DSC:
Before relaying some excerpts, I want to say that I get the gist of what Dr. Hardman is saying re: quizzes. But I’m surprised to hear she had so many pedagogical concerns with quizzes. I, too, would like to see quizzes used as an instrument of learning and to practice recall — and not just for assessment. But I would give quizzes a higher thumbs up than what she did. I think she was also trying to say that quizzes don’t always identify misconceptions or inaccurate foundational information.
Excerpts:
The Bad News: Most AI technologies that have been built specifically for educators in the last few years and months imitate and threaten to spread the use of broken instructional practices (i.e. content + quiz).
The Good News: Armed with prompts which are carefully crafted to ask the right thing in the right way, educators can use AI like GPT3 to improve the effectiveness of their instructional practices.
As is always the case, ChatGPT is your assistant. If you’re not happy with the result, you can edit and refine it using your expertise, either alone or through further conversation with ChatGPT.
For example, once the first response is generated, you can ask ChatGPT to make the activity more or less complex, to change the scenario and/or suggest more or different resources – the options are endless.
Philippa recommended checking out Rob Lennon’s streams of content. Here’s an example from his Twitter account:
Everyone’s using ChatGPT.
But almost everyone’s STUCK in beginner mode.
10 techniques to get massively ahead with AI:
(cut-and-paste these prompts?)
— Rob Lennon ? | Audience Growth (@thatroblennon) January 3, 2023
AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.
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Solutions like large language models, speech generators, content generators, image generators, translation tools, transcription tools, and video generators, among many others, will transform the way IDs create the learning experiences our organizations use. Two examples are:
1. IDs will be doing more curation and less creation:
Many IDs will start pulling raw material from content generators (built using natural language processing platforms like Open AI’s GPT-3, Microsoft’s LUIS, IBM’s Watson, Google’s BERT, etc.) to obtain ideas and drafts that they can then clean up and add to the assets they are assembling. As technology advances, the output from these platforms will be more suitable to become final drafts, and the curation and clean-up tasks will be faster and easier.
Then, the designer can leverage a solution like DALL-E 2 (or a product developed based on it) to obtain visuals that can (or not) be modified with programs like Illustrator or Photoshop (see image below for Dall-E’s “Cubist interpretation of AI and brain science.”
2. IDs will spend less, and in some cases no time at all, creating learning pathways
AI engines contained in LXPs and other platforms will select the right courses for employees and guide these learners from their current level of knowledge and skill to their goal state with substantially less human intervention.
Somehow, Mira Murati can forthrightly discuss the dangers of AI while making you feel like it’s all going to be OK.
… A growing number of leaders in the field are warning of the dangers of AI. Do you have any misgivings about the technology?
This is a unique moment in time where we do have agency in how it shapes society. And it goes both ways: the technology shapes us and we shape it. There are a lot of hard problems to figure out. How do you get the model to do the thing that you want it to do, and how you make sure it’s aligned with human intention and ultimately in service of humanity? There are also a ton of questions around societal impact, and there are a lot of ethical and philosophical questions that we need to consider. And it’s important that we bring in different voices, like philosophers, social scientists, artists, and people from the humanities.
Gerganov adapted it from a program called Whisper, released in September by OpenAI, the same organization behind ChatGPTand dall-e. Whisper transcribes speech in more than ninety languages. In some of them, the software is capable of superhuman performance—that is, it can actually parse what somebody’s saying better than a human can.
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Until recently, world-beating A.I.s like Whisper were the exclusive province of the big tech firms that developed them.
Ever since I’ve had tape to type up—lectures to transcribe, interviews to write down—I’ve dreamed of a program that would do it for me. The transcription process took so long, requiring so many small rewindings, that my hands and back would cramp. As a journalist, knowing what awaited me probably warped my reporting: instead of meeting someone in person with a tape recorder, it often seemed easier just to talk on the phone, typing up the good parts in the moment.
From DSC: Journalism majors — and even seasoned journalists — should keep an eye on this type of application, as it will save them a significant amount of time and/or money.
Built on the familiar, all-in-one collaborative experience of Microsoft Teams, Teams Premium brings the latest technologies, including Large Language Models powered by OpenAI’s GPT-3.5, to make meetings more intelligent, personalized, and protected—whether it’s one-on-one, large meetings, virtual appointments, or webinars.
Retrieval Practice, Scaffolding, and the Socratic Method— from scholarlyteacher.com by Todd Zakrajsek Revisit the Socratic method by using it to enact retrieval practice and scaffolding in courses and refresh thinking about applying recommendations from the Scholarship of Teaching and Learning (SOTL)
Excerpt:
When students think they know course material because they have collected reams and reams of information, retrieval practice, much like Socratic questioning, forces students to stop, think, reflect, and reconsider. It meets students where they are (e.g., overwhelmed with information), encourages effortful struggle associated with learning (e.g., presents a desirable difficulty), and offers the discipline of practice (or, perhaps, the practice of discipline). The goal of retrieval practice, getting information out, reflects the goal of so many of Socrates’s questions, to make his interlocutors give an account of and become more aware of their thinking.
When faculty chunk up material, assist students as they move through Bloom’s taxonomy, model approaches to help students get started and maintain momentum, make the student an active participant in developing and reflecting on knowledge, they are incorporating key elements of some of the most important recommendations from the Scholarship of Teaching and Learning. All these techniques help students build or generate knowledge.
Somewhat along these lines…for some other resources related to the science of learning, seecogx.info’s research database:
Scientific Literature Supporting COGx Programs
COGx programs involve translation of research from over 500 scientific sources. The scientific literature below is a subset of the literature we have used and organized by subject area to facilitate access. In addition, we have worked directly with some of the authors of the scientific literature to help us translate and co-create our programs. Many of the scientific papers cited below were written by COGx Academic Partners.
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.
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.
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.
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.
