7 ideas to pump up your drawing curriculum — from theartofeducation.edu by Debi West

Excerpt:

Here are 7 creative ideas that have come out of AOEU’s Studio: Drawing Course.

1. Play “Drawing Jeopardy.”

Drawing Jeopardy Board

 

 

This is likely the No. 1 thing affecting your job performance — from fastcompany.com by Art Markman
Hint: It all starts with figuring out what you don’t know.

Excerpts:

Learning on the job is probably the single most important factor driving your performance at work. You won’t know everything you need to about your job when you’re hired, no matter how good your education is or how much experience you had in previous positions. The road to learning starts with a willingness to admit what you don’t know and an interest in learning new things.

The ability to know what you know and what you don’t know is called metacognition—that is, the process of thinking about your thinking. Your cognitive brain has a sophisticated ability to assess what you do and don’t know. You use several sources of information to make this judgment.

One important social aspect of the Dunning-Kruger effect is that it often leads to tension between younger employees and the firms they work for. People who don’t really understand what skills are required for success in a particular domain may overestimate their own abilities and minimize their perception of the gap between themselves and more senior members of a firm. As a result, they won’t understand why they aren’t being promoted faster and will quickly get frustrated in the early stages of their career. The more you appreciate everything involved in expert performance, the more patient you can be with your own development.

 

After you get the hang of a new position, be strategic about what you learn. You probably need a wider range of expertise than you think. Solving hard problems at work requires drawing not just on expertise from within the domain of your work, but also on knowledge about other areas that may not have seemed relevant at first.

 

 

10 important Google Drive tips for teachers and educators — from educatorstechnology.com

Excerpt:

As the creator and owner of a folder, you have different sharing settings at your hand. You can share your folders with specific people via email and allow them to either view the folder or view and edit it. Drive also enables you to prevent collaborators  from changing access and adding new people by simply checking the box next to ‘prevent editors from changing access and adding new people’. Here is how to access sharing options of your folders…

 

Is your college future-ready? — from jisc.ac.uk by Robin Ghurbhurun

Excerpt:

Artificial intelligence (AI) is increasingly becoming science fact rather than science fiction. Alexa is everywhere from the house to the car, Siri is in the palm of your hand and students and the wider community can now get instant responses to their queries. We as educators have a duty to make sense of the information out there, working alongside AI to facilitate students’ curiosities.

Instead of banning mobile phones on campus, let’s manage our learning environments differently

We need to plan strategically to avoid a future where only the wealthy have access to human teachers, whilst others are taught with AI. We want all students to benefit from both. We should have teacher-approved content from VLEs and AI assistants supporting learning and discussion, everywhere from the classroom to the workplace. Let’s learn from the domestic market; witness the increasing rise of co-bot workers coming to an office near you.

 

 

The definition of a flipped classroom, according to the Flipped Classroom Global Initiative:

Flipped Learning is a framework that enables educators to reach every student. The Flipped approach inverts the traditional classroom model by introducing course concepts before class, allowing educators to use class time to guide each student through active, practical, innovative applications of the course principles.

Some resources regarding the flipped classroom:

 

 

Are we there yet? Impactful technologies and the power to influence change — from campustechnology.com by Mary Grush and Ellen Wagner

Excerpt:

Learning analytics, augmented reality, artificial intelligence, and other new and emerging technologies seem poised to change the business of higher education — yet, we often hear comments like “We’re just not there yet…” or “This is a technology that is just too slow to adoption…” or other observations that make it clear that many people — including those with a high level of expertise in education technology — are thinking that the promise is not yet fulfilled. Here, CT talks with veteran education technology leader Ellen Wagner, to ask for her perspectives on the adoption of impactful technologies — in particular the factors in our leadership and development communities that have the power to influence change.

 

 

Four research-based strategies every teacher should be using — from cultofpedagogy.com  by Jennifer Gonzalez

Excerpt (emphasis DSC):

[Per Jennifer] Cognitive scientist Pooja Agarwal and K-12 teacher Patrice Bain have collaborated on a new book, Powerful Teaching: Unleash the Science of Learning. In the book, they go into detail about what it looks like when we actually apply four research-based “Power Tools” in the classroom: retrieval practice, spaced practice, interleaving, and feedback-driven metacognition—which is one we haven’t covered at all on this podcast. Today I’m going to talk with Pooja and Patrice about these strategies, the research behind why they work, and some ways you can start using them right away in your instruction.

 

Instead of assigning homework to give students practice with course material, give mini-quizzes at the start of each class that ask 3-5 questions about the prior day’s learning. These should either receive no grades or be given a very low point value, because the goal of these is to reinforce the learning, not measure or grade student work. 

In her social studies classroom, Bain used to assign homework most nights, and found that not only was she spending up to two hours a night grading it, it also was doing nothing to help students retain information.

 

 

 

9 amazing uses for VR and AR in college classrooms — from campustechnology.com by Dian Schaffhauser
Immersive technologies can help students understand theoretical concepts more easily, prepare them for careers through simulated experiences and keep them engaged in learning.

Excerpt:

Immersive reality is bumping us into the deep end, virtually speaking. Colleges and universities large and small are launching new labs and centers dedicated to research on the topics of augmented reality, virtual reality and 360-degree imaging. The first academic conference held completely in virtual reality recently returned for its second year, hosted on Twitch by Lethbridge College in Alberta and Centennial College in Toronto. Majors in VR and AR have begun popping up in higher education across the United States, including programs at the Savannah School of Design (GA), Shenandoah University (VA) and Drexel University Westphal (PA). Educause experts have most recently positioned the timing for broad adoption of these technologies in education at the two-year to three-year horizon. And Gartner has predicted that by the year 2021, 60 percent of higher education institutions in the United States will “intentionally” be using VR to create simulations and put students into immersive environments.

If you haven’t already acquired your own headset or applied for a grant from your institution to test out AR or VR for instruction, it’s time. We’ve done a scan of some of the most interesting projects currently taking place in American classrooms to help you imagine the virtual possibilities.

 


 

 

Belief in Learning Styles Myth May Be Detrimental — from apa.org
Many people believe learning styles predict academic and career success, study finds

Excerpts:

WASHINGTON — Many people, including educators, believe learning styles are set at birth and predict both academic and career success even though there is no scientific evidence to support this common myth, according to new research published by the American Psychological Association.

Previous surveys in the United States and other industrialized countries across the world have shown that 80% to 95% of people believe in learning styles. It’s difficult to say how that myth became so widespread, Nancekivell said.

 

Also see:

  • Maybe They’re Born With It, or Maybe It’s Experience: Toward a Deeper Understanding of the Learning Style Myth — from apa.org by Shaylene E. Nancekivell, Priti Shah, and Susan A. Gelman
    .
  • Learning Styles are NOT an Effective Guide for Learning Design — from debunker.club
    Excerpt:
    The strength of evidence against the use of learning styles is very strong. To put it simply, using learning styles to design or deploy learning is not likely to lead to improved learning effectiveness. While it may be true that learners have different learning preferences, those preference are not likely to be a good guide for learning. The bottom line is that when we design learning, there are far better heuristics to use than learning styles.
    .
  • Learning styles: Worth our time? — from Cathy Moore
    .
  • Learning Styles Debunked: There is No Evidence Supporting Auditory and Visual Learning, Psychologists Say — from psychologicalscience.org
    .
  • Learning Styles FAQ — by Daniel Willingham
    Excerpt:
    How can you not believe that that people learn differently? Isn’t it obvious?
    People do learn differently, but I think it is very important to say exactly how they learn differently, and focus our attention on those differences that really matter. If learning styles were obviously right it would be easy to observe evidence for them in experiments. Yet there is no supporting evidence. There are differences among kids that both seem obvious to us and for which evidence is easily obtained in experiments, e.g., that people differ in their interests, that students vary in how much they think of schoolwork as part of their identity (“I’m the kind of kid who works hard in school”) and that kids differ in what they already know at the start of a lesson. All three of these have sizable, easily observed effects on learning. I think that often when people believe that they observe obvious evidence for learning styles, they are mistaking it for ability.

 

From DSC:
While I’ve heard and read through the years that there isn’t support for learning styles — and I’ve come to adopt that perspective as well due to what I’ve read, such as the items listed above — I do think that each of us has our learning preferences (as the debunker club mentioned as well). That is, how we prefer to learn about a new subject:

  • Some people like to read the manual.
  • Others never pick up the manual…they prefer to use the trial and error / hands-on method.
  • Some people prefer to listen to audio books.
  • Others prefer to watch videos.
  • Others like to read about a new topic.
  • Others like to study in a very quiet place — while others prefer some background noise.
  • Some people love to learn in a 100% online-based mode…some people hate it, and that delivery method doesn’t work as well for them.

Along these lines…in my mind, offering learning in multiple media and in multiple ways maximizes the enjoyment of learning by a group of people. And now that we’re all into lifelong learning, the enjoyment of learning has notched waaay up in importance in my book. The more we enjoy learning, the more we enjoy life (and vice versa).

In fact, I’m getting closer to the point of putting enjoyment of learning over grades in terms of importance. Grades are a way to compare people/school systems/colleges/universities/etcetera…they are the currency of our current systems…and they are used to “incentivize” students. But such systems and methods often produce game players, not learners.

 

 

10 things we should all demand from Big Tech right now — from vox.com by Sigal Samuel
We need an algorithmic bill of rights. AI experts helped us write one.

We need an algorithmic bill of rights. AI experts helped us write one.

Excerpts:

  1. Transparency: We have the right to know when an algorithm is making a decision about us, which factors are being considered by the algorithm, and how those factors are being weighted.
  2. Explanation: We have the right to be given explanations about how algorithms affect us in a specific situation, and these explanations should be clear enough that the average person will be able to understand them.
  3. Consent: We have the right to give or refuse consent for any AI application that has a material impact on our lives or uses sensitive data, such as biometric data.
  4. Freedom from bias: We have the right to evidence showing that algorithms have been tested for bias related to race, gender, and other protected characteristics — before they’re rolled out. The algorithms must meet standards of fairness and nondiscrimination and ensure just outcomes. (Inserted comment from DSC: Is this even possible? I hope so, but I have my doubts especially given the enormous lack of diversity within the large tech companies.)
  5. Feedback mechanism: We have the right to exert some degree of control over the way algorithms work.
  6. Portability: We have the right to easily transfer all our data from one provider to another.
  7. Redress: We have the right to seek redress if we believe an algorithmic system has unfairly penalized or harmed us.
  8. Algorithmic literacy: We have the right to free educational resources about algorithmic systems.
  9. Independent oversight: We have the right to expect that an independent oversight body will be appointed to conduct retrospective reviews of algorithmic systems gone wrong. The results of these investigations should be made public.
  10. Federal and global governance: We have the right to robust federal and global governance structures with human rights at their center. Algorithmic systems don’t stop at national borders, and they are increasingly used to decide who gets to cross borders, making international governance crucial.

 

This raises the question: Who should be tasked with enforcing these norms? Government regulators? The tech companies themselves?

 

 

Higher Education and the Blockchain Ecosystem: An Overview — from evolllution.com by Melissa Layne

Excerpt:

Each department within the institution, directly or indirectly, interacts with the learner and with each other. Most departments work with external entities and must exchange information, documents, money, contracts, media, certification and accreditation documents. Most, if not all, departments work with accrediting bodies. Most, if not all, work with professional organizations. Many work with vendors and consultants. All of these transactions are fair game for blockchain.

Once you get a firm grasp on Blockchain, you will be able to explore more potential applications for it in your department. This article is the first in a series on blockchain in higher education, so I will start with a general overview, with examples of how Blockchain can be implemented at an institution. In later articles, I will go into more depth and provide you with context, more examples, cost analyses, and direction.

 

Also see:

The first generation of students with blockchain degrees graduates in Mexico — from observatory.tec.mx by Observatory of Educational Innovation

Excerpt:

For the first time in Mexico, Tecnológico de Monterrey will issue professional blockchain college diplomas for an entire generation of more than 4000 students who graduate from 24 campuses throughout the country. Last April, 350 professional degrees were delivered with this technology in a pilot test with graduates of this institution.

This cutting-edge technological initiative empowers students as owners of their information, which is unalterable since it is hosted securely and encrypted in blockchain, a decentralized and public database that safely allows digital transactions, creating relationships of trust between users.

 

 

 

From DSC:
I’m wondering to what extent artificial intelligence will be used to write code in the future…and/or to review/tweak/correct code…? Along these lines, see: “Introducing AI-Assisted Development to Elevate Low-Code Platforms to the Next Level.”

Excerpt:

Mendix was founded on the belief that software development could only be significantly improved if we introduced a paradigm shift. And that’s what we did. We fundamentally changed how software is created. With the current generation of the Mendix Platform, business applications can be created 10 times faster in close collaboration or even owned by the business, with IT being in control. Today we announce the next innovation, the introduction of AI-assisted development, which gives everyone the equivalent of a world-class coach looking over their shoulder.

 

 

Has Technology Made State Regional Universities Obsolete? — from campustechnology.com by Richard Rose
While SRUs do some things well, the current model is not sustainable, with students taking on enormous debt and receiving relatively little income benefit in return. Here’s how technology can help change the equation.

Excerpts (emphasis DSC):

What if the State Board of Higher Education assembled a team to create one exceptionally fine Official Texas Version of the sophomore Western Civilization course? The team would include brilliant subject-matter experts, the best graphic artists, senior instructional designers, professional film editors and sharp-eyed text editors, who could produce a 48-clock-hour video course of previously unimaginable quality.

When technology is fully embraced because the need for a better and cheaper product finally trumps the political protection of the status quo, the state regional university will be replaced as part of new state university systems in which local institutions will play a very different role. These new local institutions could be called Learning Satellite Centers (LSCs).

Much content will take the form of high-budget, high-quality multimedia productions with delivery available to all popular devices, from desktop computers to cell phones. Access to learning materials, from course movies and podcasts to reading materials, will be through an expanded electronic distribution system that will eliminate the need for paper-based academic libraries.

The goal of the University Center plus Learning Satellite Center model is to transfer agency back into the hands of the students, where it belongs. No longer will a self-appointed privileged group of professional academics with their arcane degrees and funny ceremonial robes be dictating to the rest of society what we all need to learn and how we need to learn it. Technology will be the great leveler and the marketplace will help individual students decide what choices are best.

Of course, a brief sketch like this one will raise many questions that cannot be explored in a single article, but the conversation must begin. The current State Regional University is not sustainable and can only be propped up by politics and sentiment for so long. Too many students are piling up huge debt to earn dubious degrees that don’t lead to marketable skills or significant economic benefits. Technology has made more effective models of higher education attainable and at a lower price. We need to fearlessly explore such models before our charming old regional campuses drift into irrelevance.

 

From DSC:
While the article has a bit of a bite to it (which I suppose readers of this blog would say they might see in my writings/comments as well from time to time), THIS is the kind of innovative, creative thinking that will get us somewhere. I really appreciate Richard’s article and the deep thought he was put into this topic.

In fact, as readers of this blog will know, I have long been a supporter of a TEAM-BASED approach. And listed below are some graphics that prove it — as well as this article I wrote for evolllution.com (where the “lll” stands for lifelong learning) back from 2016.

This page* lists those graphics plus the list of team members that I thought of in December 2008:

  • Subject Matter Experts
  • Instructional Designers
  • Project Managers
  • Recruiters
  • Legal Counsel
  • Researchers / Mind Experts
  • Digital Audio Specialists
  • Digital Video Specialists
  • Streaming Media Experts
  • Mobile Learning Consultants
  • Writers and Editors 
  • Programmers and Database Specialists 
  • Web Design and Production Specialists
  • Interactivity Designers
  • Multimedia Specialists including Multi-Touch Experts/Programmers
  • 3D / 2D Graphic Designers and/or Animators
  • MindMappers / Visual Learning Experts
  • Personalized Learning Consultants
  • Security Experts
  • The students themselves
  • Other

*BTW, I renamed this idea from the Forthcoming Walmart of Education
to the Forthcoming Amazon.com of Higher Education

 

.

While I’m at it…below are a couple of ideas that I documented back in 2009 that Richard might like…

 

.

As of today…I would simplify that last graphic to
include a subscription model to streams of content.

 

Ok…one more graphic from 5/21/09 that describes what I thought would happen if institutions of traditional higher education maintained the status quo through the years. I feel pretty good about how these predictions turned out, but I wish that we would have made even more progress along these lines than we have (since the time I created this graphic).

 

 

 

 

Introduction: Leading the social enterprise—Reinvent with a human focus
2019 Global Human Capital Trends
— from deloitte.com by Volini?, Schwartz? ?, Roy?, Hauptmann, Van Durme, Denny, and Bersin

Excerpt (emphasis DSC):

Learning in the flow of life. The number-one trend for 2019 is the need for organizations to change the way people learn; 86 percent of respondents cited this as an important or very important issue. It’s not hard to understand why. Evolving work demands and skills requirements are creating an enormous demand for new skills and capabilities, while a tight labor market is making it challenging for organizations to hire people from outside. Within this context, we see three broader trends in how learning is evolving: It is becoming more integrated with work; it is becoming more personal; and it is shifting—slowly—toward lifelong models. Effective reinvention along these lines requires a culture that supports continuous learning, incentives that motivate people to take advantage of learning opportunities, and a focus on helping individuals identify and develop new, needed skills.

 

 

Watch Salvador Dalí Return to Life Through AI — from interestingengineering.com by
The Dalí Museum has created a deepfake of surrealist artist Salvador Dalí that brings him back to life.

Excerpt:

The Dalí Museum has created a deepfake of surrealist artist Salvador Dalí that brings him back to life. This life-size deepfake is set up to have interactive discussions with visitors.

The deepfake can produce 45 minutes of content and 190,512 possible combinations of phrases and decisions taken by the fake but realistic Dalí. The exhibition was created by Goodby, Silverstein & Partners using 6,000 frames of Dalí taken from historic footage and 1,000 hours of machine learning.

 

From DSC:
While on one hand, incredible work! Fantastic job! On the other hand, if this type of deepfake can be done, how can any video be trusted from here on out? What technology/app will be able to confirm that a video is actually that person, actually saying those words?

Will we get to a point that says, this is so and so, and I approved this video. Or will we have an electronic signature? Will a blockchain-based tech be used? I don’t know…there always seems to be pros and cons to any given technology. It’s how we use it. It can be a dream, or it can be a nightmare.

 

 

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