From DSC:
Reading the first item from today’s Learning TRENDS — from Elliott Masie — it appears that employees’ learning ecosystems are morphing…big time. More and more, employees are producing content and/or finding it outside the internal Learning & Development groups.

Having worked in Fortune 500 companies for 15 years, I experienced first hand the need to keep growing and learning — and that the employee ultimately needs to own their own learning.  It’s in the organizations’ and employees’ best interests to have employees tap into multiple streams of content in order to keep learning and growing. The L&D Groups are still very important, but given the pace of change — and disruption — one simply can’t afford to have someone else be in charge of one’s learning.


 

Excerpt from Learning TRENDS  #911 (emphasis DSC)

Learner as Content Producer? More of the learning consumed by learners has been created, compiled or produced by sources other than internal Learning & Development groups. We have been surveying a significant shift in the origin of content used by employees of our organizations. Increasingly, we are seeing these as the source of content:

  • Search Found Content.
  • Public Content Collections – TED Talks, YouTube, Others.
  • Peer Created Content or Collaborations.
  • Curated Content by Learners.
  • 3rd Party Content from External Providers.

The “meta” trend is that organization is building less and less of the content in a formal designer mode. In fact, the Learner is often becoming a “Learning Producer”, through their own assembly and selection of content from a wider and wider set of resources. It will be interesting to track how learners expand and hone their skills of being their own “Producers” – and how learning functions leverage this to help curate a more effective and efficient set of learning choices for the rest of the enterprise.

 

 

StreamsOfContent-DSC

 

 

 

 
 

Key point from DSC:
Digitally-based means of learning are going to skyrocket!!! Far more than what we’ve seen so far!  There are several trends that are occurring to make this so.


 

As background here, some of the keywords and phrases that are relevant to this posting include:

  • Wireless content sharing
  • Wireless collaboration solutions
  • Active learning based classrooms
  • Conference rooms
  • Bring Your Own Device (BYOD)
  • Enterprise wireless display solutions
  • Enterprise collaboration solutions
  • Cross platform support: iOS, Android, Windows
  • Personalized learning
  • Learning analytics

Some of the relevant products in this area include:

  • Bluescape
  • Mezzanine from Oblong Industries
  • Montage from DisplayNote Technologies
  • ThinkHub and ViewHub from T1V
  • Mersive Solstice
  • Crestron AirMedia
  • Barco Clickshare
  • Haworth Workware Wireless
  • Christi Brio
  • AMX enzo
  • NovoConnect from Vivitek
  • Arrive MediaPoint
  • Apple TV
  • Chromecast

From DSC:

First of all, consider the following products and the functionalities they offer.

People who are in the same physical space can collaborate with people from all over the world — no matter if they are at home, in another office, on the road, etc.

For several of these products, remote employees/consultants/trainers/learners can contribute content to the discussions, just like someone in the same physical location can.

 

Bluescape-March2016

 

BlueScape-2015

 

Mezzanine-from-Oblong-May2013

Mezzanine-By-Oblong-Jan2016

 

mezzanine-feb-2015

 

 

ThinkHub-March2016

 

mersive-March2016

Montage-March2016

ArriveMediaPoint-March2016

 


From DSC:

Many of these sorts of systems & software are aimed at helping people collaborate — again, regardless of where they are located. Remote learners/content contributors are working in tandem with a group of people in the same physical location. If this is true in business, why can’t it be true in the world of education?

So keep that in mind, as I’m now going to add on a few other thoughts and trends that build upon these sorts of digitally-based means of collaborating.

Q: Towards that end…ask yourself, what do the following trends and items have in common?

  • The desire to capture and analyze learner data to maximize learning
  • Colleges’ and universities’ need to increase productivity (which is also true in the corporate & K-12 worlds)
  • The trend towards implementing more active learning-based environments
  • The increasing use of leveraging students’ devices for their learning (i.e., the BYOD phenomenon)
  • The continued growth and increasing sophistication of algorithms

A: All of these things may cause digitally-based means of learning to skyrocket!!!

To wrap up this line of thought, below are some excerpts from recent articles that illustrate what I’m trying to get at here.


 

Embrace the Power of Data
A continuous improvement mindset is important. Back-end learning analytics, for example, can reveal where large numbers of students are struggling, and may provide insights into questions that require new feedback or content areas that need more development. Data can also highlight how students are interacting with the content and illuminate things that are working well—students’ lightbulb moments.

Five Principles for Your Learning Design Toolkit
from edsurge.com by Amanda Newlin

 

Mitchell gave the example of flight simulators, which not only provide students with a way to engage in the activity that they want to learn, but also have data systems that monitor students’ learning over time, providing them with structured feedback at just the right moment. This sort of data-centric assessment of learning is happening in more and more disciplines — and that opens the door to more innovation, he argued.

A promising example, said Thille, is the use of educational technology to create personalized and adaptive instruction. As students interact with adaptive technology, the system collects large amounts of data, models those data, and then makes predictions about each student based on their interactions, she explained. Those predictions are then used for pedagogical decision-making — either feeding information back into the system to give the student a personalized learning path, or providing insights to faculty to help them give students individualized support.

“We need the models and the data to be open, transparent, peer-reviewable and subject to academic scrutiny.”

“We began to actually examine what we could do differently — based not upon hunches and traditions, but upon what the data told us the problems were for the students we enroll,” said Renick. “We made a commitment not to raise our graduation rate through getting better students, but through getting better — and that gain meant looking in the mirror and making some significant changes.”

A 21st-century learning culture starts with digital content. In 2010, Jackson State University was looking for ways that technology could better address the needs of today’s learner. “We put together what we call our cyberlearning ecosystem,” said Robert Blaine, dean of undergraduate studies and cyberlearning. “What that means is that we’re building a 21st-century learning culture for all of our students, writ large across campus.” At the core of that ecosystem is digital content, delivered via university-supplied iPads.

7 Things Higher Education Innovators Want You to Know
from campustechnology.com by Rhea Kelly

 

 

On Bennett’s wish list right now is an application that allows students to give feedback at specific points of the videos that they’re watching at home. This would help him pinpoint and fix any “problem” areas (e.g. insufficient instructions for difficult topics/tasks) and easily see where students are experiencing the most difficulties.

TechSmith’s now-retired “Ask3” video platform, for example, would have done the trick. It allowed users to watch a video and ask text-based questions at the point where playback was stopped. “I’d like to be able to look at my content and say, ‘Here’s a spot where there are a lot of questions and confusion,'” said Bennett, who also sees potential in an “I get it” button that would allow students to hit the button when everything clicks. “That would indicate the minimum viable video that I’d need to produce.” Learning Catalytics offers a similar product at a fee, Bennett said, “but I can’t charge my students $20 a year to use it.”

6 Flipped Learning Technologies To Watch in 2016
from thejournal.com by Bridget McCrea

 


All of these trends lend themselves to causing a major increase in the amount of learning that occurs via digitally-based means and methods.


 

 
 

What are the learning-related ramifications of technologies that provide virtual personal assistants? [Christian]

Everything Siri can do for you and your Apple TV — from imore.com by Lory Gill

Excerpt:

When you ask Siri what it can search for, it will respond, “I can search by title, people (actor, director, character name, guest star, producer, or writer), ratings (like PG or TV-G), reviews (such as best or worst), dates (like 2012 or the 80s), age (like kid-friendly or teen), seasons, episodes, and studio. And of course, I can search by genre.”

But, what else can Siri do?

Siri has a fairly robust search feature with multi-layer filtering.

While you are watching a movie or TV show, or listening to music, you can get a little extra help from Siri. It’s like having a buddy sitting next to you — but they don’t shush you when you ask a question.

You can search for content in the Music app on Apple TV by artist, album, or song title. With a little know-how, you can also turn Siri into your personal deejay.

While you may normally look to your smartphone for your weather predictions, Siri can be just as helpful about the conditions around the world as your local weatherman or app. All you have to do is ask.

 

From DSC:
Following this trajectory out a bit into the future — and in light of significant developments that continue to occur with artificial intelligence, the development and use of algorithms, the potential use of web-based learner profiles (think LinkedIn.com/Lynda.com, MOOCs, the use of nanodegrees), second screen-based apps, and the like — one has to wonder:

“What are the ramifications of this for learning-related applications?!”

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

 

 

 

Labster: Empowering the Next Generation of Scientists to Change the World
Laboratory Simulations for Educators to Empower their STEM Students

From DSC:
I recently met Maaroof Fakhri at the Next Generation Learning Spaces Conference. It was a pleasure to meet him and hear him speak of the work they are doing at Labster (which is located in Denmark). He is very innovative, and he shines forth with a high degree of energy, creativity, and innovation.

Keep an eye on the work they are doing. Very sharp.

 

labster-march2016

 

 

Also see:

 

 

 

activelearning-labster-dec2015

 

 

learnathon

 

Learnathons, on the other hand are optimized sessions that teach participants how to apply what they learn as soon as possible. They are on the opposite end of how classroom teaching is organized, with lessons spread out over the course of a semester focusing on theory and weekly practice. They are a fairly new concept, but have created an environment for learning that is speeding up comprehension and application to levels that aren’t seen elsewhere.

 

 

 

Addendum on 3/16/16:

What are Remote Labs? <– from ilabcentral.org

Making high school science labs more real, more engaging, and more accessible
Remote Online laboratories (iLabs) are experimental facilities that can be accessed through the Internet, allowing students and educators to carry out experiments from anywhere at any time.

 

iLabCentral-march2016

 

 

From DSC:
Don’t rule out tvOS for some powerful learning experiences / new affordances.  The convergence of the television, the telephone, and the computer continues…and is now coming into your home. Trainers, faculty members, teachers, developers, and others will want to keep an eye on this space. The opportunities are enormous, especially as second screen-based apps and new forms of human computer interfaces (HCI) unfold.

The following items come to my mind:

Online-based communities of practice. Virtual reality, virtual tutoring. Intelligent systems. Artificial intelligence. Global learning. 24×7, lifelong learning. Career development. Flipping the classroom. Homeschooling.  Learning hubs. Online learning. Virtual schools. Webinars on steroids.

With the reach of these powerful technologies (that continue to develop), I would recommend trying to stay informed on what’s happening in the world of tvOS-based apps in the future. Towards that end, below are some items that might help.


 

techtalk-apple-feb2016

 

 

 

Apple releases Apple TV Tech Talks video series for building better tvOS apps — by AppleInsider Staff

Excerpt:

Apple on Wednesday released to developers a series of videos focusing on Apple TV and its tvOS operating system, offering a detailed look at the underlying SDK, resources and best practices associated with coding for the platform.

 

Also see:

 

TVTechTalk-fe3b2016

 

 

Addendum on 2/26/16:

  • Apple Adds Multiple New App Categories to tvOS App Store — from macrumors.com by Juli Clover
    Excerpt:
    [On 2/25/16] Apple updated the tvOS App Store to add several new app categories to make it easier for Apple TV 4 owners to find content on their devices. As outlined by AfterPad, a site that showcases Apple TV apps, the new categories are rolling out to Apple TV users and may not be available to everyone just yet. Some users may only see the new categories under Purchased Apps until the rollout is complete.

 

 

OnlineEd-Babson-OLC-Report-Feb2016

 

NEW! Online Report Card – Tracking Online Education in the U.S. — from the Online Learning Consortium

Excerpt:

Key report findings include:

  • A year-to-year 3.9% increase in the number of distance education students, up from the 3.7% rate recorded last year.
  • More than one in four students (28%) now take at least one distance education course (a total of 5,828,826 students, a year-to-year increase of 217,275).
  • The total of 5.8 million fall 2014 distance education students is composed of 2.85 million taking all of their courses at a distance and 2.97 million taking some, but not all, distance  courses.
  • Public institutions command the largest portion of distance education students, with 72.7% of all undergraduate and 38.7% of all graduate-level distance students.
  • The proportion of chief academic leaders that say online learning is critical to their long-term strategy fell from 70.8% last year to 63.3% this year.
  • The percent of academic leaders rating the learning outcomes in online education as the  same or superior to those in face-to-face instruction is now at 71.4%.
  • Only 29.1% of academic leaders report that their faculty accept the “value and legitimacy  of online education.” Among schools with the largest distance enrollments, 60.1% report faculty acceptance while only 11.6% of the schools with no distance enrollments do so.

 

Also see:

  • Babson bids good-bye to enrollment numbers — from Carl Straumsheim
    The 13th and final annual report on online education enrollments by the Babson Group shows how much the market has grown since 2002 — and how little it has changed.
    Excerpt:
    The Babson Survey Research Group is ending its influential report on the number of students who study online and how chief academic officers feel about the delivery method, citing a “coming of age” of the online education market. Yet the 13th and final annual report, released [2/9/16], shows that perceived skepticism among faculty members toward online education remains, and that many colleges continue to have no interest in online courses.

 

 

From DSC:
Big data is a big theme these days — in a variety of industries. Higher ed is no exception, where several vendors continue to develop products that hope to harness the power of big data (and to hopefully apply the lessons learned in a variety of areas, including retention).

However as an Instructional Designer, when I think of capturing and using data in the context of higher education, I’m not thinking about institutional type of data mining and the corresponding dashboards that might be involved therein.  I’m thinking of something far more granular — something that resembles a tool for an individual professor to use.

I’m thinking more about individual students and their learning.  I’m thinking about this topic in terms of providing additional information for a faculty member to use to gauge the learning within his or her particular classes — and to be able to highlight issues for them to address.

So, for example, when I’m thinking about how a mathematics professor might obtain and use data, I’m thinking of things like:

  • How did each individual do on this particular math problem?
  • Who got it right? Who got it wrong?
  • What percentage of the class got it right? What percentage of the class got it wrong?
  • For those who got the problem wrong, where in the multi-step process did they go wrong?

So perhaps even if we’re only obtaining students’ final answers — whether that be via clickers, smartphones, laptops, and/or tablets — data is still being created. Data that can then be analyzed and used to steer the learning.  This type of information can then help the mathematics professor follow up accordingly — either with some individuals or with the entire class if he/she saw many students struggling with a new concept.

Such data gathering can get even more granular if one is using elearning types of materials.  Here, the developers can measure and track things like mouse clicks, paths taken, and more.  So like the approaching Internet of Things, data can get produced on a massive scale.

But very few mathematics professors have the time to:

  • manually track X/Y/or Z per student 
  • manually capture how an entire class just did on a math problem
  • manually document where each student who got a problem incorrect went wrong

So in the way that I’m thinking about this topic, this entire push/idea of using data and analytics in education requires things to happen digitally — where results can automatically be stored without requiring any manual efforts on the part of the professor.

The ramifications of this are enormous.

That is, the push to use analytics in education — at least at the personalized learning level that I’m thinking of — really represents and actually requires a push towards using blended and/or online-based learning.  Using strictly 100% face-to-face based classrooms and environments — without any digital components involved — won’t cut it if we want to harness the power of analytics/data mining to improve student learning.

Though this may seem somewhat obvious, again, the ramifications are huge for how faculty members structure their courses and what tools/methods that they choose to utilize.  But this goes way beyond the professor.  It also has enormous implications for those departments and teams who are working on creating/revising learning spaces — especially in terms of the infrastructures such spaces offer and what tools might be available within them.  It affects decision makers all the way up to the board-level as well (who may not be used to something other than a face-to-face setting…something they recall from their own college days).

What do you think? Are you and/or your institution using big data and analytics? If so, how?

 



 

Also see:

Big data and higher education: These apps change everything — from bigdatalandscape.com

Excerpt:

Big Data is going to college. The companies on this list have been developing innovative higher education analytics apps. Universities are realizing the importance of harnessing Big Data for the purposes of helping students to succeed, helping instructors to know what students still need to learn, analyzing efficiency in all areas, boosting enrollment, and more.

For example, CourseSmart embeds analytics directly into digital textbooks. These analytics provide an “engagement index score,” which measures how much students are interacting with their eTextbooks (viewing pages, highlighting, writing notes, etc.). Researchers have found that that the engagement index score helps instructors to accurately predict student outcomes more than traditional measurement methods, such as class participation.

In addition, there are dashboards that enable Big Data analytics and visualization for the purpose of monitoring higher education KPIs such as enrollment, accreditation, effectiveness, research, financial information, and metrics by class and by department. Read on to find out about the companies that are shaping Big Data analytics in higher education.

 

 

How five edtech start-ups are using big data to boost business education — from businessbecause.com by Seb Murray
MOOC platforms explore analytics with b-school partners

Excerpts:

“Data is an amazing resource for teachers, who glean detailed feedback on how learners are processing information,” says Julia Stiglitz, director of business development at Coursera, the online learning site with 17 million users.

Coursera, which works with the b-schools IE, Yale and Duke Fuqua, offers a dashboard that gives teachers insight into when students are most likely to stop watching a video, and the percentage who answer assessment questions correctly the first time around.

“By carefully assessing course data, from mouse clicks to time spent on tasks to evaluating how students respond to various assessments, researchers hope to shed light on how learners access information and master materials,” says Nancy Moss, edX’s director of communications.

 

 

From DSC:
If you can clear up just short of an hour of your time, this piece from PBS entitled, “School Sleuth: The Case of the Wired Classroom” is very well done and worth your time.  It’s creative and objective; it offers us some solid research, some stories, and some examples of the positives and negatives of technology in the classroom. It weaves different modes of learning into the discussion — including blended learning, online learning, personalized learning and more. Though it aired back in October of 2015, I just found out about it.

Check it out if you can!

 

SchoolSleuth-WiredClassroom-Oct2015

 

 

 

Also see:

  • Schools push personalized learning to new heights — from edweek.org
    Excerpt:
    For most schools, reaching the next level of digitally driven, personalized learning is far from reality. Still, some schools are extending their digital reach in significant and sometimes groundbreaking ways, as the stories in this special report illustrate. They are making moves to integrate a variety of technologies to track how students learn and to use the resulting data to expand the use of hands-on, project-based learning. The goal is to build never-ending feedback loops that ultimately inform the development of curriculum and assessment. Plus, big data and analytics are gradually making their marks in K-12 education. This special report outlines the progress schools are making to use digital tools to personalize learning, but also raises the question: Are they reaching far enough?
    .
  • A Pedagogical Model for the use of iPads for Learning — from higheru.org

 

pedagogicalmodeliPads-dec2015

 

 

 

 

Microlearning: The e-Learning method taking off around the world — from educators.co.nz by Catherine Knowles

Excerpt:

Technology is disrupting traditional learning bringing new methods and tools into educational institutions and businesses.

Microlearning, for instance, has displayed great potential for growth, according to Association Learning + Technology 2016 – a report published by Tagoras and sponsored by YM Learning.

The report looks at the use of technology to enable and enhance learning in the continuing education and professional development market and provides insight into how the role technology plays in learning has and will evolve.

 

In fact, among five emerging types of learning (microlearning, massive open online courses (MOOCs), flipped classes, gamified learning, and microcredentials), microlearning shows the highest rate of adoption – and arguably the greatest potential for growth.

 

 

 

Podcasting is perfect for people with big ideas. Here’s how to do it — from by Todd Landman
Surprisingly few academics have learned how to podcast – but it’s a great way to reach a wider audience

Excerpt:

In the face of conflict in the Middle East, the flow of refugees to Europe and the violence associated with Islamic State and other militants, there has never been a more important time to talk about human rights. And talk about them is what I do – not in a lecture hall or at conferences with academics, but in a podcast series. Let me explain why.

I have worked as a political scientist for 25 years, focusing on human rights problems such as the struggle for citizenship rights in Latin America and the relationship between inequality and human rights violations.

I am part of a wide network of people dedicated to producing sound evidence on human rights, and my work has been communicated through articles, books and reports. But I am limited in my ability to reach the people I would most like to engage and influence – those who do not have an academic understanding of human rights but might benefit from finding out about it.

There is a new breed of academic who understands this and is committed to bridging the gap between academia and the real world. Many blog, actively seek media coverage of their research and appear on radio and television to shed light on the issues of the day.

 

 

From DSC:
Some of the tools that Landman mentioned were:

e-camm-for-skype-jan2016

  • A MacBook Pro and its free audio editing software GarageBand (for Mac OS X and for iOS)
  • A lapel mic used with his iPhone

 

garageband-jan2016

 

Some other tools to consider:

 

 

From DSC:
The above articles point to the idea — and the need — of creating “streams of content” — something that I wish more professors, teachers, staff, administrators, trainers, and instructional designers would create. Blogs, podcasts, and the use of Twitter come to my mind. Such channels could really help build others’ learning ecosystems.

Many professors and academics — folks who have so much information to share with the world — often produce works just for other academics in their discipline to review/check out. Such bubbles don’t have the impact that would occur if professors created streams of content for members of society to check out and learn from. Such mechanisms would also hopefully strip away some of the more academic sounding language and would get to the point.

 

 

streams-of-content-blue-overlay

 

 

 

 

Also see:

podcastscratch-june2015

 

A New Job Guarantee — from udacity.com by Sebastian Thrun

Excerpt:

In 2010, we started Google x to pursue moon shots, moving impossible ideas into reality to change people’s lives forever. In education, the biggest moon shot is connecting learning to jobs. Get an education to get a job to change your life.

[On 1/13/16], we launch[ed] a new program at Udacity, called Nanodegree Plus. Earn a Nanodegree credential and we will guarantee you a job within six months of graduation, or give you 100% of your tuition back.

Over the last 18 months, our Nanodegree programs have begun to emerge as the place to go to learn technical skills to get a new job or advance a career. They are backed by companies like Google, Facebook, Amazon, GitHub and AT&T among others—teaching students the latest technical skills for today’s workforce. Already, Udacity graduates are working at companies like Google, Nest, Accenture, AT&T, Amazon, Salesforce, Rakuten, Verizon, Goldman Sachs, Intuit and many others in Silicon Valley and beyond.

 

Gen Z is about to take over higher education—here’s what to expect — from ecampusnews.com by Lisa Malat
Survey finds digital natives “Gen Z” set to reshape higher ed landscape with focus on careers, dependence on technology.

Excerpt (emphasis DSC):

Educators take note: it’s time to make way for Generation Z (Gen Z).

In a recent study by Barnes & Noble College, 1,300 middle-school and high school students ages 13-18 from 49 different states shared their attitudes, preferences and expectations regarding their educational and learning experiences. The findings from the study are clear: Gen Z is significantly different than previous generations, and these students will bring both challenges and opportunities for the future of higher education.

With Gen Z being a generation of “digital natives,” it stands to reason that the future of educational technology is now. Technology is embraced almost universally by Gen Z. In fact, the students surveyed shared that they are apt to regularly use five different computer tools for their social and educational purposes: laptops, desktops, tablets, smartphones and video game consoles.

Unlike Millennials, who have broadly adopted technology, Gen Z has adopted a technology-centric lifestyle. They define themselves in online, digital terms. Gen Z doesn’t distinguish between devices or online territories. It is one continuous, multi-faceted, completely integrated experience – connecting social, academic and professional interests.

Gen Z also has different learning style preferences from past generations. While they are very into DIYL (do-it-yourself-learning), these students also embrace peer-to-peer learning, with 80 percent reporting that they study with their friends and classmates. Fifty percent said they enjoy the element of leadership it presents, and 60 percent reported that it gives them the perfect way to exchange ideas and consider new perspectives.

 

From DSC:
The article/report above prompted me to reflect…

Many throughout higher education are responding to change. But many are not. We aren’t nearly as nimble as we need to be.

I hope that the faculty, staff, boards, administrations, and the heavy-hitting donors at colleges and universities throughout the U.S. appreciate how important it is to be aware of — and respond to — changes within the K-12 world, changes in today’s students, changes within the higher ed landscape, and to changes within the corporate/business world.

We operate in a continuum.

With all of those changes, maintaining the status quo seems to be a dangerous experiment to me.  We are not in control. Rather, we all need to adapt and to respond.

 

DanielChristian-MonitoringTrends

 

 

DanielChristian-what-should-our-learning-environments-look-and-act-like

 

Along these lines, maintaining the status quo shows a blatant disregard of our customers’ preferences — an unwise strategy to take. (And for those of you who don’t like the word customer here, bear with me…because in my mind, any person who pays anywhere near the price of a house to obtain their education has earned the right to be called a customer. Today’s students are paying a heck of a lot more than we did.)

Also, maintaining the status quo seems like a dangerous strategy when we’re talking about recruitment and retention. Remember, we are talking about depending upon the decisions of 18 year olds here.

So as I:

  • Read the above article and the report that it refers to
  • Consider the higher ed landscape that continues to encounter new alternatives
  • Observe that different pathways that are cropping up all the time
  • See that the federal government is moving towards funding such alternative methods

…I am forced to ask myself, “Given all of this, will maintaining the status quo suffice? Really?

This report should encourage us to:

  • Seek to do a better job of pulse checking the K-12 world and the students’ learning preferences coming out of that world — and to develop our responses to those changing preferences.
  • Pursue more instances of blended/hybrid learning and active learning-based classrooms
  • Provide a variety of delivery mechanisms to meet our students’ needs — including a solid line up of online-based courses and programs. Students are often having to work in order to get through college, and they need flexible solutions.
  • Better address our physical learning spaces, which should offer strong/secure wireless networks and means of quickly collaborating via BYOD-based devices.
  • Continue to invest in selecting and investigating how best to use a variety of educationally-related technologies (something which, in my mind, invites the use of teams of specialists).
    (I could, and probably should, think bigger here, but I’ll stop at these reflections.)

I’ll leave you with the following graphic, relaying that often times members of Gen Z tend to prefer active learning-based classrooms:

 

Gen-Z---Barnes-and-Noble-Oct-2015

 

 

Flipping Feedback: Screencasting feedback on student essays — from facultyfocus.com by Ron Martinez

Excerpt (emphasis):

But, I thought, what if students could actually watch and hear me in a video as I go over their papers? If possible (which it is), that would approximate the kind of feedback experience I aimed to offer students without constraining it to a particular time or location.

Screencasting (recording and narrating actions performed by the instructor on a computer screen) did that and much more for me and my students. Below I describe the process and the resulting benefits.

 

From DSC:
Though Ron mentioned that he selected Screencast-O-Matic on his PC (and he also mentioned Quicktime), I wanted to offer up a couple of other possibilities:

 

 

 

 

BestOnlinePrograms2016

 

BestOnlinePrograms2016-Methodology

Excerpt:

U.S. News assessed schools based on four general categories. Here is a look at each category and its weight in the current rankings formula. All weights are unchanged from 2015.

  • Student engagement (40 percent): Quality bachelor’s degree programs promote participation in courses, allowing students opportunities to readily interact with their instructors and classmates, as is possible in a campus-based setting. In turn, instructors not only are accessible and responsive, but they also are tasked with helping to create an experience rewarding enough that students stay enrolled and complete their degrees in a reasonable amount of time.
  • Faculty credentials and training (20 percent): Strong online programs employ instructors with academic credentials that mirror those of instructors for campus-based programs, and they have the resources to train these instructors on how to teach distance learners.
  • Student services and technology (20 percent): Programs that incorporate diverse online learning technologies allow greater flexibility for students to take classes from a distance. Outside of classes, strong support structures provide learning assistance, career guidance and financial aid resources commensurate with quality campus-based programs.
  • Peer reputation (20 percent): A survey of high-ranking academic officials helps account for intangible factors affecting program quality that are not captured by statistics. Also, degrees from programs that are well respected by academics may be held in higher regard among employers.

 

 

 

From DSC:
I’m not a huge fan of college/university ranking systems and programs. However, I post this in order to say “Congratulations!” to these programs on the work they have been doing — the faculty, staff, administration, and students. Nice work to you all!

These programs most certainly are helping students prepare for the future that these students will be inheriting. Students will need to be able to learn online — that will be a key ingredient/component in their learning ecosystems. In fact, it should be a requirement for every single college graduate in this country to take at least 1 course online. Many states are already doing this type of thing with high school graduation requirements — requiring students to take at least 1 online course in order to graduate from high school. If we truly cared about our students and their futures, this would be a requirement within higher education as well.

 

 
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