learning theories

Teaching: A University-Wide Language for Learning — from chronicle.com by Beckie Supiano

Excerpt (emphasis DSC):

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.

Lets provide folks with more information on learning how to learn

Also relevant/see:

Changing your teaching takes more than a recipe — — from chronicle.com by Beckie Supiano
Professors have been urged to adopt more effective practices. Why are their results so mixed?

Excerpts:

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.
…
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 [McKenna & Willingham]

On 02/14/2023, in education, instructional design, K-12 related, learning, Learning Experience Design, learning theories, memory, productivity / tips and tricks, psychology, research, student teaching/teacher education, student-related, teachers, teaching & learning, United States, by Daniel Christian

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.

Some resources regarding how our emotions impact our learning [Knight]

On 02/10/2023, in Daniel S. Christian, education, Emotion, learning, learning ecosystem, Learning Experience Design, learning theories, student-related, teachers, teaching & learning, United States, by Daniel Christian

Learning relies on emotions — from linkedin.com by Melanie Knight

From DSC:
I don’t know nearly enough about how our emotions impact our learning. But this version of the Learn About Learning newsletter reminds me of a wish I have that our nation would create a one-stop shop/resource for how we learn:

I wish we had a one-stop shop / URL for how we learn

Introducing: ChatGPT Edu-Mega-Prompts [Hardman] + several other items re: AI

On 02/06/2023, in adjunct faculty, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, bots, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, education, education technology, emerging technologies, faculty, higher education, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, journalism, K-12 related, languages and translation, law schools, learning, learning agents, learning ecosystem, Learning Experience Design, learning theories, liberal arts, memory, Natural Language Processing (NLP), open courseware and systems, pedagogy, productivity / tips and tricks, psychology, skills, streams of content, teachers, teaching & learning, tools, training / L&D, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

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

Also relevant/see:

3 Trends That May Unlock AI’s Potential for L&D in 2023 — from learningguild.com by Juan Naranjo

Excerpts:

AI-assisted design and development work
This is the trend most likely to have a dramatic evolution this year.
…
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.

The Creator of ChatGPT Thinks AI Should Be Regulated — from time.com by John Simons

Excerpts:

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.

Whispers of A.I.’s Modular Future — from newyorker.com by James Somers; via Sam DeBrule

Excerpts:

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.
…
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.

Microsoft Teams Premium: Cut costs and add AI-powered productivity — from microsoft.com by Nicole Herskowitz

Excerpt:

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 [Zakrajsek]

On 01/28/2023, in adjunct faculty, colleges, community colleges, engagement / engaging students, experimentation, faculty, higher education, instructional design, law schools, learning, Learning Experience Design, learning theories, memory, metacognition / metacognitive skills, pedagogy, teaching & learning, universities, by Daniel Christian

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.

Learn Smarter Podcast — from learnsmarterpodcast.com

Somewhat along these lines…for some other resources related to the science of learning, see cogx.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.

Topics include:

- Information Processing
- Executive Function
- Long-Term Memory
- Metacognition
- Emotions & Engagement
- Cognitive Diversity

Also see:

USEFUL LEARNING WITH EFRAT FURST (S3E10) — from edcircuit.com with Efrat Furst, Tom Sherrington, and Emma Turner

Let’s develop a nationwide, direct-to-learner campaign: “Learn how to learn.” [Christian]

On 01/23/2023, in 24x7x365 access, active learning, adjunct faculty, adult learning, career development, collaboration, colleges, communities of practice, community colleges, corporate universities / corporate training, Daniel S. Christian, education, faculty, future, heutagogy, higher education, homeschooling/homeschoolers, hybrid learning, Hyflex learning, ideas, informal learning, instructional design, K-12 related, law schools, leadership, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning theories, legislatures / government / legal, liberal arts, library / librarians, lifelong learning, love of learning, metacognition / metacognitive skills, microlearning, mobile learning, online learning, online media, Personal Learning Networks (PLNs), personalized/customized learning, platforms, professional development, psychology, skills, society, sociology, strategy, student teaching/teacher education, student-related, teachers, teaching & learning, teaching online, traditional / tradition, training / L&D, United States, universities, vision/possibilities, web-based collaboration, by Daniel Christian

From DSC:
Let’s put together a nationwide campaign that would provide a website — or a series of websites if an agreement can’t be reached amongst the individual states — about learning how to learn. In business, there’s a “direct-to-consumer” approach. Well, we could provide a “direct-to-learner” approach — from cradle to grave. Seeing as how everyone is now required to be a lifelong learner, such a campaign would have enormous benefits to all of the United States. This campaign would be located in airports, subway stations, train stations, on billboards along major highways, in libraries, and in many more locations.

We could focus on things such as:

Quizzing yourself / retrieval practice
Spaced retrieval
Interleaving
Elaboration
Chunking
Cognitive load
Learning by doing (active learning)
Journaling
The growth mindset
Metacognition (thinking about one’s thinking)
Highlighting doesn’t equal learning
There is deeper learning in the struggle
…and more.

A learn how to learn campaign covering airports, billboards, subways, train stations, highways, and more

NOTE:
The URL I’m using above doesn’t exist, at least not at the time of this posting.
But I’m proposing that it should exist.

A group of institutions, organizations, and individuals could contribute to this. For example The Learning Scientists, Daniel Willingham, Donald Clark, James Lang, Derek Bruff, The Learning Agency Lab, Robert Talbert, Pooja Agarwal and Patrice Bain, Eva Keffenheim, Benedict Carey, Ken Bain, and many others.

Perhaps there could be:

discussion forums to provide for social interaction/learning
scheduled/upcoming webinars
how to apply the latest evidence-based research in the classroom
link(s) to learning-related platforms and/or resources

Some example components of a learning ecosystem [Christian]

On 01/20/2023, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), blended learning, blogs / blogging / vlogging, bots, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, competency-based learning/education, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, Daniel S. Christian, digital audio, digital learning, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), education technology, educational games / serious games, elearning, face-to-face, faculty, heutagogy, higher education, human-computer interaction (HCI), hybrid learning, Hyflex learning, informal learning, instructional design, intelligent systems, intelligent tutoring, K-12 related, law schools, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, library / librarians, lifelong learning, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, online learning, online media, online tutoring, open courseware and systems, parents/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.

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.

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

— Gabe Teninbaum (@GTeninbaum) December 3, 2022

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

— Jordan Furlong (@jordan_law21) December 6, 2022

Example resources:

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

Also see:

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

In this episode we discuss:

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

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

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

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

Excerpt:

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

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

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

Learning in the brain — from sites.google.com by Efrat Furst; with thanks to 3-Star Learning Experiences for this resource

Excerpts:

Think of working memory as the reception counter to a huge archive.

To summarize, working memory processing resources are highly limited, and yet meaningful processing is essential for storage in long-term memory. It is therefore important to use these resources effectively when learning. There are many tested and proven effective teaching strategies, but a question that often comes up is when to apply each strategy for the best results?

Learning in the brain- not new, but newly updated:
long-term memory, working memory, interactions, and related strategies –https://t.co/mtxr74egz4 pic.twitter.com/oPC6sUYlXy

— Efrat Furst (@EfratFurst) March 6, 2022

Teaching: Flipping a Class Helps — but Not for the Reason You’d Think — from the Teaching newsletter out at The Chronicle of Higher Education by Beckie Supiano

Excerpt:

The authors propose a different model of flipping that gives their paper its title, “Fail, Flip, Fix, and Feed — Rethinking Flipped Learning: A Review of Meta-Analyses and a Subsequent Meta-Analysis.”

Their model:

Fail: Give students a chance to try solving problems. They won’t have all the information needed to arrive at the solution, but the attempt activates their prior learning and primes them for the coming content.
Flip: Deliver the content ahead of class, perhaps in a video lecture.
Fix: During class time, a traditional lecture can deepen understanding and correct misperceptions.
Feed: Formative assessment lets students check their level of understanding.

I find this paper interesting for a number of reasons. It ties into a challenge I’d like to dig into in the future: the gap that can exist between a teaching approach as described in research literature and as applied in the classroom.

From DSC:
Though I haven’t read this analysis (please accept my apology here), I would hope that it would also mention one of the key benefits of the flipped classroom approach — giving students more control over the pacing of the content. Students can stop, fast-forward, rewind, and pause the content as necessary. This is very helpful for all students, but especially for students who don’t have English as their primary language.

I like this approach because if students fail to solve the problem at first, they will likely be listening more/very carefully as to how to solve it:

Drawing on related research, we proposed a more specific model for flipping, “Fail, Flip, Fix, and Feed” whereby students are asked to first engage in generating solutions to novel problems even if they fail to generate the correct solutions, before receiving instructions.

Plus, students will begin to recall/activate their prior knowledge on a subject in order to try to solve the problem. That retrieval practice in and of itself can be helpful.

Improving the Exit Ticket (How about an Entrance Ticket instead?)

On 11/09/2022, in assessment, education, instructional design, learning, Learning Experience Design, learning theories, memory, pedagogy, student-related, teachers, teaching & learning, United States, by Daniel Christian

Improving the Exit Ticket — from theeffortfuleducator.com by Blake Harvard

Excerpts (emphasis DSC):

So, how can the exit ticket be improved upon? How can it be a more effective assessment of learning?

Allow time for forgetting. The main problem with the traditional usage of the exit ticket is that there’s no time to forget, which leads to the measuring of performance and not learning.

Opt for an entrance ticket. Instead of assessing the day’s lesson as they leave, provide students with an index card (or sticky note or whatever) on their way in the next day and assess their knowledge then. Asking those same questions twenty-four hours after the lesson is much more indicative of their true level of understanding.

From DSC:
Though not quite related to the item above, it does have to do with instructional design:

Instructional Design Mock Interview with Alyssa Clark and Min Tang — from devlinpeck.com

Data Science: Re-Imagining Our Institutions at the Systems Level [Grush & Siemens]

On 10/12/2022, in analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Australia, colleges, community colleges, convergence, data related items, faculty, higher education, instructional design, learning, learning ecosystem, Learning Experience Design, learning theories, student-related, teaching & learning, United States, vendors, by Daniel Christian

Data Science: Re-Imagining Our Institutions at the Systems Level — from campustechnology.com by Mary Grush
A Q&A with George Siemens

Excerpt:

We know that higher education institutions have been exploring data science for decades. Many began by leveraging institutional data to serve administrative computing needs and efficiencies, later taking on an additional learning science focus, at least to some, often limited degree.

What can institutions do now, to use data science better and perhaps reinvent themselves in the process? Are they taking advantage of all the access they have to so many disciplines and researchers, to help move data science ahead in the real world? Here, George Siemens, who is a professor of practice at the University of Texas-Arlington and co-leads the Centre for Change and Complexity in Learning at the University of South Australia, talks with CT about data science in higher education.

Learning Ecosystems

Reflections on “Teaching: A University-Wide Language for Learning” [Supiano]

Retrieval Practice, Scaffolding, and the Socratic Method [Zakrajsek]

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

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

Categories

Tags