traditional / tradition

EdTechs and Instructional Designers—What’s the Difference? — from er.educause.edu by Pat Reid

Excerpt:

Both edtechs and instructional designers (IDs) work with computer systems and programs, yet their actual duties differ from traditional IT tasks. The resulting confusion over what edtechs and IDs do—and how the two roles differ—is rampant, not least in the sector that needs them most: higher education.

Introducing several new ideas to provide personalized, customized learning experiences for all kinds of learners! [Christian]

On 11/06/2018, in 21st century, 24x7x365 access, accessibility / UDL, adjunct faculty, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assistive technologies, attention, blended learning, bots, cloud-based computing / apps / other cloud-related, colleges, community colleges, content development, aggregation, repositories, Daniel S. Christian, digital learning, e-books, e-publishing related items (EPUB and more), e-readers, education, education technology, elearning, engagement / engaging students, face-to-face, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), hybrid learning, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, interaction design, interactivity, interface design, internet, K-12 related, law schools, learner profiles, learning, learning ecosystem, Learning from the Living [Class] Room, learning preferences, library / librarians, memory, more voice more choice more control, personalized/customized learning, platforms, productivity / tips and tricks, reading, society, special needs, student-related, teachers, teaching & learning, technology (general), tools, traditional / tradition, training / L&D, universities, user experience (UX), user interface design, using teams, vendors, vision/possibilities, visualizing information, writing, youth, by Daniel Christian

From DSC:
I have often reflected on differentiation or what some call personalized learning and/or customized learning. How does a busy teacher, instructor, professor, or trainer achieve this, realistically?

It’s very difficult and time-consuming to do for sure. But it also requires a team of specialists to achieve such a holy grail of learning — as one person can’t know it all. That is, one educator doesn’t have the necessary time, skills, or knowledge to address so many different learning needs and levels!

Think of different cognitive capabilities — from students that have special learning needs and challenges to gifted students
Or learners that have different physical capabilities or restrictions
Or learners that have different backgrounds and/or levels of prior knowledge
Etc., etc., etc.

Educators and trainers have so many things on their plates that it’s very difficult to come up with _X_ lesson plans/agendas/personalized approaches, etc. On the other side of the table, how do students from a vast array of backgrounds and cognitive skill levels get the main points of a chapter or piece of text? How can they self-select the level of difficulty and/or start at a “basics” level and work one’s way up to harder/more detailed levels if they can cognitively handle that level of detail/complexity? Conversely, how do I as a learner get the boiled down version of a piece of text?

Well… just as with the flipped classroom approach, I’d like to suggest that we flip things a bit and enlist teams of specialists at the publishers to fulfill this need. Move things to the content creation end — not so much at the delivery end of things. Publishers’ teams could play a significant, hugely helpful role in providing customized learning to learners.

Some of the ways that this could happen:

Use an HTML like language when writing a textbook, such as:

<MainPoint> The text for the main point here. </MainPoint>

<SubPoint1>The text for the subpoint 1 here.</SubPoint1>

<DetailsSubPoint1>More detailed information for subpoint 1 here.</DetailsSubPoint1>

<SubPoint2>The text for the subpoint 2 here.</SubPoint2>

<DetailsSubPoint2>More detailed information for subpoint 2 here.</DetailsSubPoint2>

<SubPoint3>The text for the subpoint 3 here.</SubPoint3>

<DetailsSubPoint3>More detailed information for subpoint 3 here.</DetailsSubPoint1>

<SummaryOfMainPoints>A list of the main points that a learner should walk away with.</SummaryOfMainPoints>

<BasicsOfMainPoints>Here is a listing of the main points, but put in alternative words and more basic ways of expressing those main points. </BasicsOfMainPoints>

<Conclusion> The text for the concluding comments here.</Conclusion>

<BasicsOfMainPoints> could be called <AlternativeExplanations>
Bottom line: This tag would be to put things forth using very straightforward terms.

Another tag would be to address how this topic/chapter is relevant:
<RealWorldApplication>This short paragraph should illustrate real world examples
of this particular topic. Why does this topic matter? How is it relevant?</RealWorldApplication>

On the students’ end, they could use an app that works with such tags to allow a learner to quickly see/review the different layers. That is:

Show me just the main points
Then add on the sub points
Then fill in the details
OR
Just give me the basics via an alternative ways of expressing these things. I won’t remember all the details. Put things using easy-to-understand wording/ideas.

It’s like the layers of a Microsoft HoloLens app of the human anatomy:

Or it’s like different layers of a chapter of a “textbook” — so a learner could quickly collapse/expand the text as needed:

This approach could be helpful at all kinds of learning levels. For example, it could be very helpful for law school students to obtain outlines for cases or for chapters of information. Similarly, it could be helpful for dental or medical school students to get the main points as well as detailed information.

Also, as Artificial Intelligence (AI) grows, the system could check a learner’s cloud-based learner profile to see their reading level or prior knowledge, any IEP’s on file, their learning preferences (audio, video, animations, etc.), etc. to further provide a personalized/customized learning experience.

To recap:

“Textbooks” continue to be created by teams of specialists, but add specialists with knowledge of students with special needs as well as for gifted students. For example, a team could have experts within the field of Special Education to help create one of the overlays/or filters/lenses — i.e., to reword things. If the text was talking about how to hit a backhand or a forehand, the alternative text layer could be summed up to say that tennis is a sport…and that a sport is something people play. On the other end of the spectrum, the text could dive deeply into the various grips a person could use to hit a forehand or backhand.
This puts the power of offering differentiation at the point of content creation/development (differentiation could also be provided for at the delivery end, but again, time and expertise are likely not going to be there)
Publishers create “overlays” or various layers that can be turned on or off by the learners
Can see whole chapters or can see main ideas, topic sentences, and/or details. Like HTML tags for web pages.
Can instantly collapse chapters to main ideas/outlines.

A Space for Learning: A review of research on active learning spaces — from by Robert Talbert and Anat Mor-Avi

Abstract:
Active Learning Classrooms (ALCs) are learning spaces specially designed to optimize the practice of active learning and amplify its positive effects in learners from young children through university-level learners. As interest in and adoption of ALCs has increased rapidly over the last decade, the need for grounded research in their effects on learners and schools has grown proportionately. In this paper, we review the peer-reviewed published research on ALCs, dating back to the introduction of “studio” classrooms and the SCALE-UP program up to the present day. We investigate the literature and summarize findings on the effects of ALCs on learning outcomes, student engagement, and the behaviors and practices of instructors as well as the specific elements of ALC design that seem to contribute the most to these effects. We also look at the emerging cultural impact of ALCs on institutions of learning, and we examine the drawbacks of the published research as well as avenues for potential future research in this area.

1: Introduction
1.1: What is active learning, and what is an active learning classroom?
Active learning is defined broadly to include any pedagogical method that involves students actively working on learning tasks and reflecting on their work, apart from watching, listening, and taking notes (Bonwell & Eison, 1991). Active learning has taken hold as a normative instructional practice in K12 and higher education institutions worldwide. Recent studies, such as the 2014 meta-analysis linking active learning pedagogies with dramatically reduced failure rates in university-level STEM courses (Freeman et al., 2014) have established that active learning drives increased student learning and engagement across disciplines, grade levels, and demographics.

As schools, colleges, and universities increasingly seek to implement active learning, concerns about the learning spaces used for active learning have naturally arisen. Attempts to implement active learning pedagogies in spaces that are not attuned to the particular needs of active learning — for example, large lecture halls with fixed seating — have resulted in suboptimal results and often frustration among instructors and students alike. In an effort to link architectural design to best practices in active learning pedagogy, numerous instructors, school leaders, and architects have explored how learning spaces can be differently designed to support active learning and amplify its positive effects on student learning. The result is a category of learning spaces known as Active Learning Classrooms (ALCs).

While there is no universally accepted definition of an ALC, the spaces often described by this term have several common characteristics:

ALCs are classrooms, that is, formal spaces in which learners convene for educational activities. We do not include less-formal learning spaces such as faculty offices, library study spaces, or “in-between” spaces located in hallways or foyers.
ALCs include deliberate architectural and design attributes that are specifically intended to promote active learning. These typically include moveable furniture that can be reconfigured into a variety of different setups with ease, seating that places students in small groups, plentiful horizontal and/or vertical writing surfaces such as whiteboards, and easy access to learning
technologies (including technological infrastructure such as power outlets).
In particular, most ALCs have a “polycentric” or “acentric” design in which there is no clearly-defined front of the room by default. Rather, the instructor has a station which is either
movable or located in an inconspicuous location so as not to attract attention; or perhaps there is no specific location for the instructor.
Finally, ALCs typically provide easy access to digital and analog tools for learning , such as multiple digital projectors, tablet or laptop computers, wall-mounted and personal whiteboards, or classroom response systems.

2.1: Research questions
The main question that this study intends to investigate is: What are the effects of the use of ALCs on student learning, faculty teaching, and institutional cultures? Within this broad overall question, we will focus on four research questions:

What effects do ALCs have on measurable metrics of student academic achievement? Included in such metrics are measures such as exam scores, course grades, and learning gains on pre/post-test measures, along with data on the acquisition of “21st Century Skills”, which we will define using a framework (OCDE, 2009) which groups “21st Century Skills” into skills pertaining to information, communication, and ethical/social impact.
What effects do ALCs have on student engagement? Specifically, we examine results pertaining to affective, behavioral, and cognitive elements of the idea of “engagement” as well as results that cut across these categories.
What effect do ALCs have on the pedagogical practices and behaviors of instructors? In addition to their effects on students, we are also interested the effects of ALCs on the instructors who use them. Specifically, we are interested in how ALCs affect instructor attitudes toward and implementations of active learning, how ALCs influence faculty adoption of active learning pedagogies, and how the use of ALCs affects instructors’ general and environmental behavior.
What specific design elements of ALCs contribute significantly to the above effects? Finally, we seek to identify the critical elements of ALCs that contribute the most to their effects on student learning and instructor performance, including affordances and elements of design, architecture, and technology integration.

The common denominator in the larger cultural effects of ALCs and active learning on students and instructors is the notion of connectedness, a concept we have already introduced in discussions of specific ALC design elements. By being freer to move and have physical and visual contact with each other in a class meeting, students feel more connected to each other and more connected to their instructor. By having an architectural design that facilitates not only movement but choice and agency — for example, through the use of polycentric layouts and reconfigurable furniture — the line between instructor and students is erased, turning the ALC into a vessel in which an authentic community of learners can take form.

On Change and Relevance for Higher Education — from campustechnology.com by Mary Grush and Phil Long
A Q&A with Phil Long

Excerpts:

Mary Grush: You’ve been connected to scores of technology leaders and have watched trends in higher education for more than 30 years. What is the central, or most important concern you are hearing from institutional leadership now?

Phil Long: Higher ed institutions are facing some serious challenges to stay relevant in a world that is diversifying and changing rapidly. They want to make sure that the experiences they have designed for students will carry the next generation forward to be productive citizens and workers. But institutions’ abilities to keep up in our changing environment have begun to lag to a sufficient degree, such that alternatives to the traditional university are being considered, both by the institutions themselves and by their constituents and colleagues throughout the education sector.

…

Grush: What are a few of the more specific areas in which institutions may find it difficult to navigate?

Long: Just from a very high level view, I’d include on that list: big data and the increasing sophistication of algorithms, with the associated benefits and risks; artificial intelligence with all its implications for good… and for peril; and perhaps most importantly, new applications and practices that support how we recognize learning.

“The pace of change never seems to slow down. And the issues and implications of the technologies we use are actually getting broader and more profound every day.” — Phil Long

EdX Quietly Developing ‘MicroBachelors’ Program — from edsurge.com by Jeff Young

Excerpt:

EdX, the nonprofit online-education group founded by MIT and Harvard, is quietly developing a “MicroBachelors” degree that is designed to break the undergraduate credential into Lego-like components.

In December, edX won a $700,000 grant from the Lumina Foundation to support the MicroBachelors effort with the organization’s university partners. Officials from edX declined to talk about the project, saying only that it is in the early stages. But at a higher-education innovation summit last month hosted by the U.S. Department of Education, Anant Agarwal, CEO of edX, listed the project as part of the group’s long-term vision that began with its MicroMasters program. And the organization has filed a trademark for the term “MicroBachelors” as well.

“Education in five to ten years will become modular, will become omnichannel, and will become lifelong,” Agarwal said at the meeting, later explaining that omnichannel meant offering courses either online or in person.

…

How would a MicroBachelors be different than, say, a two-year associate’s degree, which is arguably already half a bachelor’s degree? Sarma said that the idea behind both MicroMasters and MicroBachelors is that they are “about putting stuff that can be done online, online.” In other words, the big idea is offering a low-cost, low-risk way for students to start an undergraduate education even if they can’t get to a campus.

Also relevant/see:

In Evolving World of Microcredentials, Students, Colleges and Employers Want Different Things — from edsurge.com by Jeff Young

5 trends poised to shake up higher education in 2018 [Arnett]

On 01/03/2018, in business side of he, change, changing business models, experimentation, future of higher education, game-changing environment, higher education, ideas, learning ecosystem, learning hubs & pods & microschooling, learning spaces, new business models, traditional / tradition, by Daniel Christian

5 trends poised to shake up higher education in 2018 — from educationdive.com by Autumn Arnett

Excerpts:

Blurred lines: nonprofit and for-profit providers will work together toward new business model
U.S. higher education as a top international export
Re-imagining physical campus space
More unbundling and microcredentials
Continued focus on accelerating mobile apps

DC: This is what I mean by saying institutions of traditional higher ed aren’t keeping pace w/ the new, exponential pace of change

On 12/18/2017, in 21st century, accreditation, adjunct faculty, adult learning, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, business side of he, career development, change, changing business models, colleges, community colleges, corporate / business world, curriculum, dangers of the status quo, Daniel S. Christian, education, education reform, emerging technologies, engineering, faculty, future, future of higher education, game-changing environment, higher education, ideas, legislatures / government / legal, MOOCs -- Massive Open Online Courses, new business models, online learning, pace of change, real-world assignments, robotics, student-related, surviving, telecommunications, traditional / tradition, training / L&D, universities, workplace, by Daniel Christian

From DSC:
Regarding the article below…why did it take Udacity needing to team up with Infosys to offer this type of program and curriculum? Where are the programs in institutions of traditional higher education on this? Are similar programs being developed? If so, how quickly will they come to market? I sure hope that such program development is in progress..and perhaps it is. But the article below goes to show us that alternatives to traditional higher education seem to be more responsive to the new, exponential pace of change that we now find ourselves in.

We have to pick up the pace! To do this, we need to identify any obstacles to our institutions adapting to this new pace of change — and then address them immediately. I see our current methods of accreditation as one of the areas that we need to address. We’ve got to get solid programs to market much faster!

And for those folks in higher ed who say change isn’t happening rapidly — that it’s all a bunch of hype — you likely still have a job. But you need to go talk with some people who don’t, or who’ve had their jobs recently impacted big time. Here are some suggestions of folks to talk with:

Taxi drivers who were impacted by Lyft and by Uber these last 5-10 years; they may still have their jobs, if they’re lucky. But they’ve been impacted big time…and are likely driving for Lyft and/or Uber as well as their former employers; they’re likely to have less bargaining power than they used to as the supply of drivers has skyrocketed. (By the way, the very existence of such organizations couldn’t have happened without the smartphone and mobile-related technologies/telecommunications.)
Current managers and former employees at hotels/motels about the impacts on their industry by AirBnB over a similar time frame
Hiring managers at law firms who’ve cut back on hiring entry-level lawyers…work that’s increasingly being done by software (example)
Employees who worked at brick and mortar retailers who have been crushed by Amazon.com’s online-based presence (in not that long of time, by the way). For example, below is what our local Sears store looks like these days…go find an employee who used to work at Sears or a Sears automotive-related store:

This is what our local Sears store looks like today

This picture is for those who say there is no disruption.
You call this hype?!

The above example list — that’s admittedly woefully incomplete — doesn’t include the folks displaced by technology over the last several decades, such as:

Former bank tellers who lost their jobs to ATMs
Checkout clerks at the grocery stores who lost their jobs to self-service stations
Check-in agents at the airports who lost their jobs to self-service stations
Etc., etc., etc.

Institutions of traditional higher education
need to pick up the pace — big time!

Infosys and Udacity team up to train 500 engineers in autonomous technologies — from by Leah Brown
Infosys’ COO Ravi Kumar explains how these individuals can apply what they learn to other industries.

Excerpt (emphasis DSC):

Infosys, a global technology consulting firm, recently partnered with online learning platform Udacity to create a connected service that provides training for autonomous vehicles, and other services for B2B providers of autonomous vehicles.

TechRepublic’s Dan Patterson met with Infosys’ COO Ravi Kumar to discuss how autonomous technology can help create new industries.

Autonomous technology is going to be an emerging technology of the future, Kumar said. So Infosys and Udacity came together and developed a plan to train 500 engineers on autonomous technologies, and teach them how to apply it to other industries.

Per Wikipedia:
Udacity is a for-profit educational organization founded by Sebastian Thrun, David Stavens, and Mike Sokolsky offering massive open online courses (MOOCs). According to Thrun, the origin of the name Udacity comes from the company’s desire to be “audacious for you, the student.” While it originally focused on offering university-style courses, it now focuses more on vocational courses for professionals.

But times are changing. Artificial intelligence (AI) and robotics are facilitating the automation of a growing number of “doing” tasks. Today’s AI-enabled, information-rich tools are increasingly able to handle jobs that in the past have been exclusively done by people—think tax returns, language translations, accounting, even some kinds of surgery. These shifts will produce massive disruptions to employment and hold enormous implications for you as a business leader. (mckinsey.com)

Plan now to attend the 2018 Next Generation Learning Spaces Conference — tour USC’s campus!

On 11/09/2017, in 21st century, A/V -- audio/visual, active learning, adjunct faculty, adult learning, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, attention, Augmented Reality (AR), Blockchain, bots, change, changing business models, collaboration, colleges, communications, communities of practice, community colleges, corporate / business world, Daniel S. Christian, data related items, digital learning, distance education, education technology, educational games / serious games, emerging technologies, engagement / engaging students, experimentation, faculty, future of higher education, higher education, human-computer interaction (HCI), hybrid learning, ideas, innovation, IT in HE, K-12 related, leadership, learning, learning ecosystem, learning spaces, learning theories, liberal arts, lifelong learning, maker movement, Mixed Reality (MR), mobile learning, mobile technologies, multimedia, online learning, pedagogy, personalized/customized learning, productivity / tips and tricks, professional development, reinvent, smart classrooms, social learning / networks, staying relevant, student-related, teaching & learning, technologies for your home, technology (general), tools, traditional / tradition, trends, United States, universities, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, visualizing information, by Daniel Christian

From DSC:
I am honored to be currently serving on the 2018 Advisory Council for the Next Generation Learning Spaces Conference with a great group of people. Missing — at least from my perspective — from the image below is Kristen Tadrous, Senior Program Director with the Corporate Learning Network. Kristen has done a great job these last few years planning and running this conference.

NOTE:
The above graphic reflects a recent change for me. I am still an Adjunct Faculty Member
at Calvin College, but I am no longer a Senior Instructional Designer there.
My brand is centered around being an Instructional Technologist.

This national conference will be held in Los Angeles, CA on February 26-28, 2018. It is designed to help institutions of higher education develop highly-innovative cultures — something that’s needed in many institutions of traditional higher education right now.

I have attended the first 3 conferences and I moderated a panel at the most recent conference out in San Diego back in February/March of this year. I just want to say that this is a great conference and I encourage you to bring a group of people to it from your organization! I say a group of people because a group of 5 of us (from a variety of departments) went one year and the result of attending the NGLS Conference was a brand new Sandbox Classroom — an active-learning based, highly-collaborative learning space where faculty members can experiment with new pedagogies as well as with new technologies. The conference helped us discuss things as a diverse group, think out load, come up with some innovative ideas, and then build the momentum to move forward with some of those key ideas.

If you haven’t already attended this conference, I highly recommend that you check it out. You can obtain the agenda/brochure for the conference by providing some basic contact information here.

Per Kristen Tadrous, here’s why you want to check out USC:

A true leader in innovation: USC made it to the Top 20 of Reuter’s 100 Most Innovative Universities in 2017!
Detailed guided tour of leading spaces led by the Information Technology Services Learning Environments team
Benchmark your own learning environments by getting a ‘behind the scenes’ look at their state-of-the-art spaces
There are only 30 spots available for the site tour

Building Spaces to Inspire a Culture of Innovation — a core theme at the 4^th Next Generation Learning Spaces summit, taking place this February 26-28 in Los Angeles. An invaluable opportunity to meet and hear from like-minded peers in higher education, and continue your path toward lifelong learning. #ngls2018 http://bit.ly/2yNkMLL

For institutions of higher education: Some of the ways to respond to the new, exponential pace of change [Christian]

On 10/18/2017, in 21st century, adult learning, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), Blockchain, bots, business, business side of he, career development, change, colleges, community colleges, consortiums, dangers of the status quo, Daniel S. Christian, data related items, digital learning, distance education, education reform, elearning, emerging technologies, expectations, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, interaction design, interface design, internet, leadership, learning ecosystem, Learning from the Living [Class] Room, lifelong learning, machine-to-machine communications, Michigan, Mixed Reality (MR), online learning, organizational change, pace of change, parents/guardians, personalized/customized learning, platforms, real-world assignments, reinvent, society, staying relevant, strategy, streams of content, student-related, surviving, technology (general), traditional / tradition, trends, United States, universities, user experience (UX), user interface design, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

From DSC:
In Part I, I looked at the new, exponential pace of change that colleges, community colleges and universities now need to deal with – observing the enormous changes that are starting to occur throughout numerous societies around the globe. If we were to plot out the rate of change, we would see that we are no longer on a slow, steady, incremental type of linear pathway; but, instead, we would observe that we are now on an exponential trajectory (as the below graphic from sparks & honey very nicely illustrates).

How should colleges and universities deal with this new, exponential pace of change?

1) I suggest that you ensure that someone in your institution is lifting their gaze and peering out into the horizons, to see what’s coming down the pike. That person – or more ideally, persons – should also be looking around them, noticing what’s going on within the current landscapes of higher education. Regardless of how your institution tackles this task, given that we are currently moving at an incredibly fast pace, this trend analysis is very important. The results from this analysis should immediately be integrated into your strategic plan. Don’t wait 3-5 years to integrate these new findings into your plan. The new, exponential pace of change is going to reward those organizations who are nimble and responsive.

2) I recommend that you look at what programs you are offering and consider if you should be developing additional programs such as those that deal with:

Artificial Intelligence (Natural Language Processing, deep learning, machine learning, bots)
New forms of Human Computer Interaction such as Augmented Reality, Virtual Reality, and Mixed Reality
User Experience Design, User Interface Design, and/or Interaction Design
Big data, data science, working with data
The Internet of Things, machine-to-machine communications, sensors, beacons, etc.
Blockchain-based technologies/systems
The digital transformation of business
Freelancing / owning your own business / entrepreneurship (see this article for the massive changes happening now!)
…and more

3) If you are not already doing so, I recommend that you immediately move to offer a robust lineup of online-based programs. Why do I say this? Because:

Without them, your institution may pay a heavy price due to its diminishing credibility. Your enrollments could decline if learners (and their families) don’t think they will get solid jobs coming out of your institution. If the public perceives you as a dinosaur/out of touch with what the workplace requires, your enrollment/admissions groups may find meeting their quotas will get a lot harder as the years go on. You need to be sending some cars down the online/digital/virtual learning tracks. (Don’t get me wrong. We still need the liberal arts. However, even those institutions who offer liberal arts lineups will still need to have a healthy offering of online-based programs.)
Online-based learning methods can expand the reach of your faculty members while offering chances for individuals throughout the globe to learn from you, and you from them
Online-based learning programs can increase your enrollments, create new revenue streams, and develop/reach new markets
Online-based learning programs have been proven to offer the same learning gains – and sometimes better learning results than – what’s being achieved in face-to-face based classrooms
The majority of pedagogically-related innovations are occurring within the online/digital/virtual realm, and you will want to have built the prior experience, expertise, and foundations in order to leverage and benefit from them
Faculty take their learning/experiences from offering online-based courses back into their face-to-face courses
Due to the increasing price of obtaining a degree, students often need to work to help get them (at least part of the way) through school; thus, flexibility is becoming increasingly important and necessary for students
An increasing number of individuals within the K-12 world as well as the corporate world are learning via online-based means. This is true within higher education as well, as, according to a recent report from Digital Learning Compass states that “the number of higher education students taking at least one distance education course in 2015 now tops six million, about 30% of all enrollments.”
Families are looking very closely at their return on investments being made within the world of higher education. They want to see that their learners are being prepared for the ever-changing future that they will encounter. If people in the workforce often learn online, then current students should be getting practice in that area of their learning ecosystems as well.
As the (mostly) online-based Amazon.com is thriving and retail institutions such as Sears continue to close, people are in the process of forming more generalized expectations that could easily cross over into the realm of higher education. By the way, here’s how our local Sears building is looking these days…or what’s left of it.

4) I recommend that you move towards offering more opportunities for lifelong learning, as learners need to constantly add to their skillsets and knowledge base in order to remain marketable in today’s workforce. This is where adults greatly appreciate – and need – the greater flexibility offered by online-based means of learning. I’m not just talking about graduate programs or continuing studies types of programs here. Rather, I’m hoping that we can move towards providing streams of up-to-date content that learners can subscribe to at any time (and can drop their subscription to at any time). As a relevant side note here, keep your eyes on blockchain-based technologies here.

5) Consider the role of consortia and pooling resources. How might that fit into your strategic plan?

6) Consider why bootcamps continue to come onto the landscape. What are traditional institutions of higher education missing here?

7) And lastly, if one doesn’t already exist, form a small, nimble, innovative group within your organization — what I call a TrimTab Group — to help identify what will and won’t work for your institution.

“Learning is leaving the (school) building” — and other items from Will Richardson & Bruce Dixon

On 09/01/2017, in 21st century, active learning, attention, change, collaboration, communications, communities of practice, dangers of the status quo, digital learning, education, education reform, education technology, engagement / engaging students, face-to-face, game-changing environment, generational differences, ideas, innovation, internet, K-12 related, leadership, learning, learning ecosystem, legislatures / government / legal, love of learning, more voice more choice more control, motivation, pace of change, parents/guardians, participation, passions, pedagogy, personalized/customized learning, real-world assignments, social learning / networks, society, staying relevant, story, storytelling, strategy, student-related, surviving, teachers, teaching & learning, technology (general), traditional / tradition, United States, user experience (UX), vision/possibilities, web-based collaboration, webinars, youth, by Daniel Christian

From DSC:
I appreciated hearing the perspectives from Bruce Dixon and Will Richardson this morning, as I listed to a webinar that they recently offered. A few key takeaways for me from that webinar — and with a document that they shared — were:

The world has fundamentally changed. (Bruce and Will also mentioned the new pace of change; i.e., that it’s much faster.)
We need to have more urgency about the need to reimagine school, not to try to improve the existing model.
“Because of the advent of the Web and the technologies we use to access it, learning is, in a phrase, leaving the (school) building.”
There is a newfound capacity to take full control of one’s own learning; self-determined learning should be at the center of students’ and teachers’ work; co-constructed curriculum
And today, at a moment when learners of all ages have never had more agency over their own learning, schools must unlearn centuries old mindsets and practices and relearn them in ways that truly will serve every child living in the modern, connected world.
Will and Bruce believe that every educator — and district for that matter — should articulate their own “principles of learning”
Beliefs about how kids learn (powerfully and deeply) need to be articulated and consistently communicated and lived out
Everything we do as educators, administrators, etc. tells a story. What stories are we telling? (For example, what does the signage around your school building say? Is it about compliance? Is is about a love of learning? Wonder? What does the 20′ jumbo tron say about priorities? Etc.)
Bruce and Will covered a “story audit” and how to do one

“Learning is, in a phrase, leaving the (school) building.”

Richardson & Dixon

Also see:

These educators have decades worth of experience. They are pulse-checking their environments. They want to see students thrive both now and into the future. For these reasons, at least for me, their perspectives are highly worth reflecting upon.

Reflections on “Report: Student loan debt reaches $1.4 trillion” [Bolkan]

On 08/29/2017, in 21st century, business side of he, change, changing business models, colleges, cost of getting a degree, dangers of the status quo, Daniel S. Christian, disruption, higher education, new business models, parents/guardians, student-related, traditional / tradition, trends, United States, universities, by Daniel Christian

Report: Student loan debt reaches $1.4 trillion — from campustechnology.com by Joshua Bolkan

Excerpt:

Student loan debt in the United States has grown 149 percent over the last decade to reach $1.4 trillion, according to a new report from Experian. Over the same period, the average student loan debt per person went up 62 percent.

Held by 13.4 percent of Americans, student loan debt is the fastest growing debt segment and the largest non-household debt. But, counter-intuitively, fewer people make late payments on this type of debt than on other loans. In fact, the percentage of late payments on student debt has decreased 10.1 percent since 2009.

Other key findings of the report include…

From DSC:
The thing that makes this soooo difficult is that faculty members, staff, and members of administrations often don’t see this crushing development. It’s invisible to many of them! The growing, heavy gorillas on the backs of our graduates aren’t seen on campus. Students graduate and move on. But the realities and implications of those debts can be felt for decades!

Several major events in our graduates lives are likely to be increasingly postponed, such as:

Starting a family
Purchasing a new home
Investing in — or saving for — their retirement

The current models and methods of higher education must change! Prices MUST come down. If the traditional institutions of higher education don’t change, don’t be surprised when the alternatives keep picking up steam and eventually — and majorly — disrupt higher education.

This is a social justice issue for me.

Reflections on “Coding bootcamp graduate for every 3.5 university grads” [Ravipati]

On 08/23/2017, in 21st century, accreditation, adult learning, business side of he, career development, colleges, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, credentialing, Daniel S. Christian, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, learning ecosystem, liberal arts, lifelong learning, new business models, professional development, programming, traditional / tradition, United States, universities, workplace, youth, by Daniel Christian

From DSC:
According to the article below, bootcamps appear to be filling several (perceived and/or real) gaps. Quoting from the article:

Why are students enrolling in coding bootcamps? One reason may be the adaptability of these accelerated computer science programs, where students are taught web and mobile development skills that align with industry demands. Programs are offered in-person or online, providing students with flexible learning options. The payoff is decent too: At a typical coding bootcamp, Course Report estimates average tuition is $11,400 for about 14 weeks of instruction, from which the majority students complete on-time and find relevant jobs.

Cost.

Time.

Responsiveness to industry demands.

Greater flexibility.

These are some of the things for traditional institutions of higher education to grapple with, and I would argue the sooner, the better — before this trend finds its legs and gains even more traction/momentum.

For example, in your own mind/thinking…how long do you think it will take bootcamps to begin offering programs that help learners develop content for augmented reality (AR), virtual reality (VR), and mixed reality (MR) — as compared to programs coming out of institutions of traditional higher education?

Whatever your answers are in regards to the reasons for that time difference are likely the exact sort of things institutions need to be working on. For me, at least one of the answers has to do with our current accreditation systems. Other reasons come to my mind as well, but I don’t have time to go there right now.

Study: 1 Coding Bootcamp Graduate for Every 3.5 University Grads — from campustechnology.com by Sri Ravipati

Excerpt:

The five-year coding bootcamp industry estimated at $266 million is rapidly expanding, according to a new market study from Course Report.

The study counted 94 full-time coding bootcamps across the United States and Canada (with programs in 74 U.S. cities). Compared to 2012, there will be 10 times as many graduates this year — or roughly one coding bootcamp graduate for every 3.5 graduates from a traditional university or college. Course Report estimates that 22,814 developers will graduate from coding bootcamps this year — an increase from 15,048 graduates last year.

Robots and AI are going to make social inequality even worse, says new report [Vincent]

On 07/18/2017, in 21st century, adult learning, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, business, career development, change, changing business models, colleges, community colleges, corporate / business world, corporate universities / corporate training, cost of getting a degree, dangers of the status quo, Daniel S. Christian, disruption, economics, education, future, future of higher education, game-changing environment, higher education, human-computer interaction (HCI), ideas, innovation, learning, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, marketplaces, New "Amazon.com" of Higher Education, organizational change, pace of change, platforms, professional development, reinvent, robotics, society, sociology, staying relevant, strategy, student-related, surviving, the downsides of how people use tech, traditional / tradition, training / L&D, trends, UK, United States, universities, vendors, vision/possibilities, workplace, youth, by Daniel Christian

Robots and AI are going to make social inequality even worse, says new report — from theverge.com by James Vincent
Rich people are going to find it easier to adapt to automation

Excerpt:

Most economists agree that advances in robotics and AI over the next few decades are likely to lead to significant job losses. But what’s less often considered is how these changes could also impact social mobility. A new report from UK charity Sutton Trust explains the danger, noting that unless governments take action, the next wave of automation will dramatically increase inequality within societies, further entrenching the divide between rich and poor.

The are a number of reasons for this, say the report’s authors, including the ability of richer individuals to re-train for new jobs; the rising importance of “soft skills” like communication and confidence; and the reduction in the number of jobs used as “stepping stones” into professional industries.

For example, the demand for paralegals and similar professions is likely to be reduced over the coming years as artificial intelligence is trained to handle more administrative tasks. In the UK more than 350,000 paralegals, payroll managers, and bookkeepers could lose their jobs if automated systems can do the same work.

Re-training for new jobs will also become a crucial skill, and it’s individuals from wealthier backgrounds that are more able to do so, says the report. This can already be seen in the disparity in terms of post-graduate education, with individuals in the UK with working class or poorer backgrounds far less likely to re-train after university.

From DSC:
I can’t emphasize this enough. There are dangerous, tumultuous times ahead if we can’t figure out ways to help ALL people within the workforce reinvent themselves quickly, cost-effectively, and conveniently. Re-skilling/up-skilling ourselves is becoming increasingly important. And I’m not just talking about highly-educated people. I’m talking about people whose jobs are going to be disappearing in the near future — especially people whose stepping stones into brighter futures are going to wake up to a very different world. A very harsh world.

That’s why I’m so passionate about helping to develop a next generation learning platform. Higher education, as an industry, has some time left to figure out their part/contribution out in this new world. But the window of time could be closing, as another window of opportunity / era could be opening up for “the next Amazon.com of higher education.”

It’s up to current, traditional institutions of higher education as to how much they want to be a part of the solution. Some of the questions each institution ought to be asking are:

Given our institutions mission/vision, what landscapes should we be pulse-checking?
Do we have faculty/staff/members of administration looking at those landscapes that are highly applicable to our students and to their futures? How, specifically, are the insights from those employees fed into the strategic plans of our institution?
What are some possible scenarios as a result of these changing landscapes? What would our response(s) be for each scenario?
Are there obstacles from us innovating and being able to respond to the shifting landscapes, especially within the workforce?
How do we remove those obstacles?
On a scale of 0 (we don’t innovate at all) to 10 (highly innovative), where is our culture today? Where do we hope to be 5 years from now? How do we get there?

…and there are many other questions no doubt. But I don’t think we’re looking into the future nearly enough to see the massive needs — and real issues — ahead of us.

The report, which was carried out by the Boston Consulting Group and published this Wednesday [7/12/17], looks specifically at the UK, where it says some 15 million jobs are at risk of automation. But the Sutton Trust says its findings are also relevant to other developed nations, particularly the US, where social mobility is a major problem.

From DSC:
Though slightly older, this article has some solid advice that I think we in higher education need to heed as well.

The Importance of Continuing Education for Digital Leaders — from strategy-business.com by Chris Curran — with thanks to tweets by Cathryn Marsh and G Athanasakopoulos

Excerpt (emphasis DSC):

Whether you’re a newly minted MBA or an experienced leader, you’re always honing your skills and navigating change. And technology is one discipline in which you really can’t afford to stagnate. With digital transformation so central to strategy for most companies, all executives — especially CEOs — must embrace a learning mind-set. Gone are the days you can delegate the job of keeping up with technology to the IT staff.

Chief information officers (CIOs), of course, should regularly brief the management team and the board on new developments, demoing exciting new technology, bringing in external speakers and vendors, and using other tactics that promote tech learning and engagement. But keeping up on technology trends is also the responsibility of every executive. And while that can be daunting given the vast tech landscape and seemingly limitless avenues for learning, it’s also incredibly exciting.

Indeed, the art of continuous learning itself may be the most sought-after skill for tomorrow’s workforce as well as the key to solving tomorrow’s problems.

From DSC:
Tapping into streams of content (via RSS feeds and/or with tools like Google Alerts) is key here. Developing your personal learning networks and your communities of practice are key here. The article also mentions MOOCs and online learning. which I would also add to the list of helpful tools/avenues to pursue.

Robot students? College classrooms try letting far-away students attend via remote-control stand-in — from edsurge.com by Sydney Johnson

Excerpt:

Someone looking in on Bill McCaw’s educational leadership class at the University of Montana might see students talking in small groups, or peers helping each other on assignments. It’s an age-old classroom scene, except for one space-age detail: More than half of the students are robots.

Ok, to be more precise, nine of the fourteen students in the course are joining the class remotely by using a robot stand-in. The hope is that the approach will let students, who are working professionals, join from hundreds of miles away and feel more a part of the group than would be possible with standard videoconference links.

“The space in Montana is huge. That’s why this is really important for us,” says McCaw.

From DSC:
I appreciate the level of experimentation that’s going on here — it’s stretching the existing paradigms and asking how we might bring in remote learners into our face-to-face based classrooms. This is one approach.

Another approach uses tool like the ones below — which make having students be in the same physical learning space less important:

Learning Ecosystems

EdTechs and Instructional Designers—What’s the Difference? [Reid]

On Change and Relevance for Higher Education [Grush & Long]

EdX Quietly Developing ‘MicroBachelors’ Program [Young]

5 trends poised to shake up higher education in 2018 [Arnett]

Reflections on “Coding bootcamp graduate for every 3.5 university grads” [Ravipati]

“Gone are the days you can delegate the job of keeping up with technology to the IT staff.”

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