adjunct faculty

Pearson moves away from print textbooks [Kelly]

On 07/17/2019, in 24x7x365 access, adjunct faculty, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, bots, Bring your own device (BYOD), change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, community colleges, Content aggregration, content development, content repositories, data mining, digital audio, digital learning, digital storytelling, digital textbooks, digital video, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, faculty, higher education, human-computer interaction (HCI), instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, learning, learning from the living [class] room, Microlearning, Mobile learning, multimedia, new business models, online learning, online media, online tutoring, personalized/customized learning, platforms, publishing, student-related, teachers, teaching & learning, teaching online, textbooks, tools, United States, universities, vendors, by Daniel Christian

Pearson moves away from print textbooks — from campustechnology.com by Rhea Kelly

Excerpt:

All of Pearson’s 1,500 higher education textbooks in the U.S. will now be “digital first.” The company announced its big shift away from print today, calling the new approach a “product as a service model and a generational business shift to be much more like apps, professional software or the gaming industry.”

The digital format will allow Pearson to update textbooks on an ongoing basis, taking into account new developments in the field of study, new technologies, data analytics and efficacy research, the company said in a news announcement. The switch to digital will also lower the cost for students: The average e-book price will be $40, or $79 for a “full suite of digital learning tools.”

“Tech giants believe that voice is as big as touchscreen…” [Wynter Elwood]

On 06/19/2019, in 24x7x365 access, A/V -- audio/visual, active learning, adjunct faculty, algorithms, Artificial Intelligence / Machine Learning / Deep Learning, bots, colleges, community colleges, corporate / business world, corporate universities / corporate training, Google, human-computer interaction (HCI), ideas, innovation, intelligent systems, IT in HE, learning, learning ecosystem, learning hubs, learning spaces, Microsoft, Mobile learning, Mobile technologies, multimedia, Natural Language Processing (NLP), platforms, productivity / tips and tricks, student-related, teaching & learning, Technologies for your home, technology (general), tools, training / L&D, trends, United States, universities, usability, user experience (UX), vendors, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Do you have a virtual personal assistant? With #VoiceAssistants we might get time back to do what we want to do. Tech giants believe that voice is as big as touchscreen and will invest a lot in the further development. #Microsoft #Google https://t.co/uPqkKyiPT3 pic.twitter.com/IjeVn5Af4p

— Wynter (@WynterElwood) June 17, 2019

Also see:

Microsoft is building a virtual assistant for work. Google is building one for everything else — from qz.com by Dave Gershgorn

Excerpts:

In the early days of virtual personal assistants, the goal was to create a multipurpose digital buddy—always there, ready to take on any task. Now, tech companies are realizing that doing it all is too much, and instead doubling down on what they know best.
…
Since the company has a deep understanding of how organizations work, Microsoft is focusing on managing your workday with voice, rearranging meetings and turning the dials on the behemoth of bureaucracy in concert with your phone.

Voice is the next major platform, and being first to it is an opportunity to make the category as popular as Apple made touchscreens. To dominate even one aspect of voice technology is to tap into the next iteration of how humans use computers.

From DSC:
What affordances might these developments provide for our future learning spaces?

Will faculty members’ voices be recognized to:

Sign onto the LMS?
Dim the lights?
Turn on the projector(s) and/or display(s)?
Other?

Will students be able to send the contents of their mobile devices to particular displays via their voices?

Will voice be mixed in with augmented reality (i.e., the students and their devices can “see” which device to send their content to)?

Hmmm…time will tell.

7 ideas to pump up your drawing curriculum [West]

On 06/17/2019, in adjunct faculty, art, colleges, community colleges, creativity, faculty, higher education, ideas, K-12 related, pedagogy, teachers, teaching & learning, universities, by Daniel Christian

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

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 [Gonzalez]

On 06/10/2019, in adjunct faculty, assessment, colleges, community colleges, education, faculty, higher education, ideas, learning theories, memory, metacognition / metacognitive skills, online learning, pedagogy, research, student-related, teachers, teaching & learning, by Daniel Christian

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.

4 Essentials for Learning Space Redesign — from CampusTechnology.com by David Raths
There’s a lot more to creating active learning spaces than bringing in new furniture and moving seats around.

“Belief in Learning Styles Myth May Be Detrimental” [APA] + 5 other items on the lack of support for learning styles

On 06/03/2019, in active learning, adjunct faculty, assessment, blended learning, colleges, community colleges, corporate universities / corporate training, Daniel S. Christian, education, education reform, higher education, ideas, K-12 related, Law Schools, learning, learning ecosystem, learning preferences, learning theories, Lifelong learning, love of learning, more choice more control, motivation, multimedia, online learning, passions, pedagogy, personalized/customized learning, psychology, research, society, student-related, teachers, teaching & learning, teaching online, training / L&D, universities, youth, by Daniel Christian

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.

Recommended books from RetrievalPractice.org
Check out our recommended books and reports that describe research on the science of learning and provide practical tips for classroom teaching.

.

…plus several others

Online directory of college alternatives launches [Schwartz]

On 05/24/2019, in adjunct faculty, colleges, community colleges, cost of getting a degree, higher education, learning from the living [class] room, online media, staying relevant, student-related, surviving, trends, United States, universities, Walmart of Education --> New Amazon.com of Higher Education, youth, by Daniel Christian

Online directory of college alternatives launches — from educationdive.com by Natalie Schwartz

Excerpt / Dive Brief:

Prospective students interested in nondegree credentials can look to a new online directory of more than 200 companies and other organizations providing apprenticeships, boot camps, short-term online courses and other credentials.
Called Alternatives to College, the directory was launched as a joint effort between leaders at higher ed investment firm University Ventures and WhatsBestForMe, a platform for applicants to connect with postsecondary education providers.
“The last-mile training sector moves quickly,” said Cassidy Leventhal, a vice president at University Ventures, in the announcement, adding that the directory will provide an “online ‘home'” for nondegree options.

With flip of a giant ceremonial switch, CMU starts effort to energize ‘learning engineering’ — from edsurge.com by Jeff Young

Excerpt:

Pittsburgh, PA—For a moment this week, the provost of Carnegie Mellon University looked a bit like a game show host as he grabbed the lever of an oversized switch and called on an audience to join him in a countdown—“5, 4, 3, 2, 1.” Then, he toggled the cardboard lever and declared open a new website, one that gave away software that took more than $100 million in grant funding to develop.

It was an unusually theatrical moment for a gathering to announce the release of software tools to help professors improve their teaching. But the organizers were playfully acknowledging the size of their project’s ambition—which they hope will spark a more data-driven and experimental approach to teaching at colleges around the country. And the flair was fitting, since success will end up being based not so much on how well the software works, but on how well its creators can attract momentum to their cause—and change the culture of the academic profession to make teaching an area professors are excited to make discoveries around.
…
Plenty of others have tried in the past to bring the principles of engineering to college teaching, though with limited success. In fact, the effort at Carnegie Mellon is named for Herbert Simon, a longtime professor at Carnegie Mellon who won a Nobel Prize in economics and devoted his energy and academic capital to trying to spread his ideas about turning teaching from a solo sport to a team effort. But it didn’t catch on widely in his lifetime.

From DSC:

…and devoted his energy and academic capital to trying to spread his ideas about turning teaching from a solo sport to a team effort. But it didn’t catch on widely in his lifetime.

Why do you supposed getting faculty members to use a team-based approach is so difficult? We really need to look at that, especially if institutions of higher education are going to keep increasing how much it costs to take courses at their schools — and all the while placing the emphasis on research…not teaching.

Like using an indexing fund in investing — vs. a hand-picked set of stocks — a team-based approach will be more effective the majority of the time. How can it not? There are simply too many skillsets/interests needed, especially as teaching and learning continues to move more online.

“Learning by doing appears to have a 6x better [outcome] than learning by watching or reading,” Koedinger said. He and his colleagues published an academic paper with the finding called “Learning is Not a Spectator Sport.”

Also see:

From DSC:
Here’s a ~4 minute piece from CBS News re: student loan debt.

Here are two excerpts from that video:

From DSC to potential college students:
You need to know that the ramifications of this type of debt can last for decades! Do everything you possibly can to either not borrow anything or to minimize these types of loan amounts.

This is another reason why the United States desperately needs a ***next generation learning platform*** — one that’s convenient, very inexpensive, and one that can also help people quickly reinvent themselves! One that is highly social, features human Subject Matter Experts (SME’s), and is backed up by #AI – based apps/features as well.

Along these lines…no longer are we running sprints (i.e., get a 4-year degree and you’re done). We’re now all running marathons (i.e., we’re now into lifelong learning in order to stay relevant and employed).

Also, the following item was announced today:

Cengage and McGraw-Hill to Merge, Providing Students with More Affordable Access to Superior Course Materials and Platforms — from businesswire.com
Excerpt:
NEW YORK & BOSTON–(BUSINESS WIRE)–McGraw-Hill and Cengage today announced that they have entered into a definitive agreement to combine in an all-stock merger on equal terms. The transaction, which has been unanimously approved by the Boards of Directors of both companies, will bring together two premier learning companies that will deliver significant benefits for students, educators, professionals and institutions worldwide.“The new company will offer a broad range of best-in-class content – delivered through digital platforms at an affordable price,” said Michael E. Hansen, CEO of Cengage. “Together, we will usher in an era in which all students can afford the quality learning materials needed to succeed – regardless of their socioeconomic status or the institution they attend. Additionally, the combined company will have robust financial strength to invest in next-generation products, technology and services that create superior experiences and value for millions of students.”

Also see:

From DSC:
Along these lines, I don’t think Cengage/McGraw-Hill will be the largest company on the Internet by 2030 as predicted by Thomas Frey (a prediction I think he’s right on with…by the way). They were on watch when the prices of learning-related materials soared through the years. As such, they’ve likely burned through a great deal of good will…but we’ll see. They might be able to persuade myself and others that they’re the platform of choice for the future. Time will tell I guess.

Three ways to use video feedback to enhance student engagement — from scholarlyteacher.com by Christopher Penna

Excerpt:

An innovative approach for providing feedback on student work in a variety of disciplines is the use of screen capture videos (Mathisen). These videos allow for the recording of what is on the instructor’s screen (for example, a student paper) accompanied by audio narration describing strengths and weaknesses of the work being discussed as well as any edits that the instructor is making on the page. Once created, the video is available to the student for repeated viewing. Research indicates these videos provide more concrete and effective guidance for students and a higher level of student engagement than traditional written comments and rubrics (Jones, Georghiades, & Gunson, 2012; Thompson & Lee, 2012).

A growing repository of useful design tools, from accessibility and AR to wireframing and 3D modeling software.

? Awesome Design Toolshttps://t.co/qo5wAU9D4d pic.twitter.com/THIYPLmH0c

— Smashing Magazine (@smashingmag) April 10, 2019

2019 Horizon Report Higher Education Edition

On 04/25/2019, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, algorithms, analytics, Artificial Intelligence / Machine Learning / Deep Learning, blended learning, Blockchain, change, changing business models, colleges, community colleges, credentialing, curriculum, data mining, digital learning, distance education, education technology, educational games / serious games, emerging technologies, face-to-face, faculty, formal learning, future of higher education, higher education, hybrid learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, Law Schools, learning, Learning Agents, learning ecosystem, learning spaces, Mixed reality, Mobile learning, new business models, online learning, personalized/customized learning, student-related, teaching & learning, teaching online, Technologies for your home, technology (general), tools, trends, United States, user experience (UX), XR - extended reality, by Daniel Christian

The finalized 2019 Horizon Report Higher Education Edition (from library.educause.edu) was just released on 4/23/19.

Excerpt:

Key Trends Accelerating Technology Adoption in Higher Education:

Short-Term—Driving technology adoption in higher education for the next one to two years

Redesigning Learning Spaces
Blended Learning Designs

Mid-Term—Driving technology adoption in higher education for the next three to five years

Advancing Cultures of Innovation
Growing Focus on Measuring Learning

Long-Term—Driving technology adoption in higher education for five or more years

Rethinking How Institutions Work
Modularized and Disaggregated Degrees

Learning Ecosystems

Are we there yet? Impactful technologies and the power to influence change [Grush & Wagner]

With flip of a giant ceremonial switch, CMU starts effort to energize ‘learning engineering’ [Young]

Categories

Tags

Looking for something?

Visit our friends!

Archives