You can be sitting ‘courtside’ at NBA games with virtual reality — from mercurynews.com by Bill Oram

Excerpt:

“The result is a really strong sense of presence,” said David Cole, who helped found NextVR as a 3D company in 2009. “A vivid sense.”

 

 

“In some ways, we could still be at a point in time where a lot of people don’t yet know that they want this in VR,” said David Cramer, NextVR’s chief operating officer. “The thing that we’ve seen is that when people do see it, it just blows away their expectations.”

 

 

From DSC:
Hmm…the above piece from The Mercury News on #VR speaks of presence.  A vivid sense of presence.

If they can do this with an NBA game, why cant’ we do this with remote learners & bring them into face-to-face classrooms? How might VR be used in online learning and distance education? Could be an interesting new revenue stream for colleges and universities…and help serve more people who want to learn but might not be able to move to certain locations and/or not be able to attend face-to-face classrooms. Applications could exist within the corporate training/L&D world as well.

 

Also related/see:

 

 

From DSC:
The other day I had posted some ideas in regards to how artificial intelligence, machine learning, and augmented reality are coming together to offer some wonderful new possibilities for learning (see: “From DSC: Amazing possibilities coming together w/ augmented reality used in conjunction w/ machine learning! For example, consider these ideas.”) Here is one of the graphics from that posting:

 

horticulturalapp-danielchristian

These affordances are just now starting to be uncovered as machines are increasingly able to ascertain patterns, things, objects…even people (which calls for a separate posting at some point).

But mainly, for today, I wanted to highlight an excellent comment/reply from Nikos Andriotis @ Talent LMS who gave me permission to highlight his solid reflections and ideas:

 

nikosandriotisidea-oct2016

https://www.talentlms.com/blog/author/nikos-andriotis

 

From DSC:
Excellent reflection/idea Nikos — that would represent some serious personalized, customized learning!

Nikos’ innovative reflections also made me think about his ideas in light of their interaction or impact with web-based learner profiles, credentialing, badging, and lifelong learning.  What’s especially noteworthy here is that the innovations (that impact learning) continue to occur mainly in the online and blended learning spaces.

How might the ramifications of these innovations impact institutions who are pretty much doing face-to-face only (in terms of their course delivery mechanisms and pedagogies)?

Given:

  • That Microsoft purchased LinkedIn and can amass a database of skills and open jobs (playing a cloud-based matchmaker)
  • Everyday microlearning is key to staying relevant (RSS feeds and tapping into “streams of content” are important here, and so is the use of Twitter)
  • 65% of today’s students will be doing jobs that don’t even exist yet (per Microsoft & The Future Laboratory in 2016)

 

futureproofyourself-msfuturelab-2016

  • The exponential pace of technological change
  • The increasing level of experimentation with blockchain (credentialing)
  • …and more

…what do the futures look like for those colleges and universities that operate only in the face-to-face space and who are not innovating enough?

 

 

 

55% of faculty are flipping the classroom — from campustechnology.com by Dian Schaffhauser, Rhea Kelly
Our first-ever Teaching with Technology survey gauged educators’ use of the flipped classroom model, blended/online teaching environments and more.

Excerpt:

The majority of higher education faculty today are flipping their courses or plan to in the near future, according to Campus Technology‘s 2016 Teaching with Technology survey. The survey polled faculty members across the country about their use of technology for teaching and learning, their wish lists and gripes, their view of what the future holds and more.

 

 

From DSC:
Speaking of flipping the classroom…I’ve listed some ideas below for a recording studio for your college or university — with the idea to provide more choice, more control to faculty members who want to record their lectures.

A small recording booth with a Mac in it that has ScreenFlow loaded on it; alternatively, you could use a PC with a desktop recording app such as Adobe Captivate, Camtasia Studio, Jing, or something similar.

screenflow

 

A larger recording room that has a LightBoard (NU) or Learning Glass (SDSU) in it:

Image result for lightboard

 

A larger recording booth that simply has some whiteboards and/or some easels with paper on them

 

 

A Microsoft Surface Hub, or a SMART Board Interactive Display, or perhaps an Epson BrightLink, or something similar for writing and capturing annotations, images, graphics, etc.

 

mssurfacehub

 

…and likely other booths with other options that faculty can walk in and use. Again, the idea is to let the faculty members choose what’s most comfortable/convenient for them. 

 

 

MoreChoiceMoreControl-DSC

 

ngls-2017-conference

 

From DSC:
I have attended the Next Generation Learning Spaces Conference for the past two years. Both conferences were very solid and they made a significant impact on our campus, as they provided the knowledge, research, data, ideas, contacts, and the catalyst for us to move forward with building a Sandbox Classroom on campus. This new, collaborative space allows us to experiment with different pedagogies as well as technologies. As such, we’ve been able to experiment much more with active learning-based methods of teaching and learning. We’re still in Phase I of this new space, and we’re learning new things all of the time.

For the upcoming conference in February, I will be moderating a New Directions in Learning panel on the use of augmented reality (AR), virtual reality (VR), and mixed reality (MR). Time permitting, I hope that we can also address other promising, emerging technologies that are heading our way such as chatbots, personal assistants, artificial intelligence, the Internet of Things, tvOS, blockchain and more.

The goal of this quickly-moving, engaging session will be to provide a smorgasbord of ideas to generate creative, innovative, and big thinking. We need to think about how these topics, trends, and technologies relate to what our next generation learning environments might look like in the near future — and put these things on our radars if they aren’t already there.

Key takeaways for the panel discussion:

  • Reflections regarding the affordances that new developments in Human Computer Interaction (HCI) — such as AR, VR, and MR — might offer for our learning and our learning spaces (or is our concept of what constitutes a learning space about to significantly expand?)
  • An update on the state of the approaching ed tech landscape
  • Creative, new thinking: What might our next generation learning environments look like in 5-10 years?

I’m looking forward to catching up with friends, meeting new people, and to the solid learning that I know will happen at this conference. I encourage you to check out the conference and register soon to take advantage of the early bird discounts.

 

 

Love this VR of a classroom lesson – 7 uses that really takes you there — from donaldclarkplanb.blogspot.com by Donald Clark

Excerpt:

I received a fascinating link via Twitter from Chris Edwards, a Deputy Head in Surrey, who was interested in views on his experiment with a 360 camera and VR. In the 360 degree video, Mike Kent, a Geography teacher, delivers a great lesson and you can look round the entire room as students and teacher move around, get things done, interact with the teacher and go through a Q&A session. It is fascinating. They’re using this approach for lesson observations allowing the teacher, or their colleagues, to watch it back in full Virtual Reality. This gives the teacher a view of themselves, from the student’s point of view, as well as observe ‘everything’ that happens in the classroom. It made me think of different possibilities…..

 

Good lessons by great teachers must surely be worth viewing by novice teachers. The rich set of processes, actions, behaviours, body language and interactions that go into a great lesson are complex, wonderfully captured in this example and could be done on any subject. A bank of such lessons would be far more useful than dry lesson plans.

 

From DSC:
Donald covers a range of ideas including using these 360 degree cameras and VR in regards to addressing:

  1. Exemplar lessons
  2. Teacher training in school
  3. Behaviour training
  4. Students
  5. Parents
  6. Class layout
  7. Research

 

Also see:
(You can turn around/view the entire room and somewhat move about the space by zooming in and out):

bubl-in-classroom-july2016

 

Also see:

bubl-july2016

 

 

 

From DSC:
Though the title of Ashley Coolman’s blog posting out at smartsparrow.com mentions technology in it, the article is largely not about technology at all — but rather about the benefits of active learning. That’s why I’m highlighting it here.


 

Enabling active learning through technology — from smartsparrow.com by Ashley Coolman

Excerpts:

To many, it seems as though any learning can be considered active. Is a student taking notes not actively engaged in a class, especially when compared to their peers sleeping or playing on their phones in the back of the room?

The problem here is that while the note-taking student may be engaging with the class and professor, they are not engaging with the material. When furiously scribbling notes, students are more focused on getting every word down rather than evaluating, understanding, and analyzing what it is they are writing. They have engaged with the lecture, but not the material being relayed — which is the most important part.

In a study on active learning called “Active Learning: Creating Excitement in the Classroom”, the researchers stated:

“Surprisingly, educators’ use of the term “active learning” has relied more on intuitive understanding than a common definition. Consequently, many faculty assert that all learning is inherently active and that students are therefore actively involved while listening to formal presentations in the classroom. Analysis of the research literature (Chickering and Camson 1987), however, suggests that students must do more than just listen: They must read, write, discuss, or be engaged in solving problems. Most important, to be actively involved, students must engage in such higher-order thinking tasks as analysis, synthesis, and evaluation.” (Bonwell and Eison 1991)

It is the degree and form by which students are actively engaging that matters. It is “learning by doing” that students really need.

 

Active learning is any learning activity in which the student INTERACTS or ENGAGES with the material, as opposed to passively taking in the information.

 

Furthermore, Cornell University found that research suggests learner attention starts to wane every 10–20 minutes during lectures. Incorporating active learning techniques a few times throughout class can encourage more engagement.*

*A side note from DSC:
A tool like
Socrative may come in useful here.

 

The blog posting from Smart Sparrow also linked to this resource:

Cornell-ActiveLearning-July2016

 

The problem is that lecture-based learning is not like filling a jug — you just don’t catch it all. Learning from lectures is more like holding out your hands and trying to keep the imparted knowledge from spilling through the cracks in this tidal wave of new information. Ultimately, students will catch some of the water, but most of it will be lost.

 

A side note from DSC to Calvin College faculty members:
If you doubt the immediately preceding quote, see if you can *fully* recall exactly what last Sunday’s sermon was about — including all examples, details, and wisdom that the preacher was trying to relay.

Ultimately, it’s about impact. What strongly impacts students stays with students — and isn’t that true for all of us?

 


 

Ashley lists the following resources re: active learning at the end of her posting:

  1. Using Active Learning Instructional Strategies to Create Excitement and Enhance Learning
  2. Active Learning: Creating Excitement in the Classroom
  3. Where’s the evidence that active learning works?
  4. How Does Active Learning Support Student Success?
  5. How To Retain 90% Of Everything You Learn

 


 

 

From DSC:
I would like to highlight a few items from this month’s Campus Technology magazine:

2016 Campus Technology Innovators Awards
We honor 11 institutions using technology in innovative ways to improve teaching, learning, administration and operations in higher education.

Editorial: CT Innovators Honorable Mentions
Gleaned from this year’s Campus Technology Innovators award nominations, these 8 projects are making strides in virtual reality, synchronous online learning, digital literacy and more.

 

CampusTechnInnovatorAwardsJudge2016-Cover

 

CampusTechnInnovatorAwardsJudge2016

 

 

How blockchain will disrupt the higher education transcript
Blockchain technology could offer a more learner-centered alternative to traditional credentialing.

 

Blockchain-HE-CampusTechJuly2016

 

 

 

Supporting Deaf and Hard of Hearing Students Tools, Technology and Key Resources to Cultivate Academic Success — from accreditedschoolsonline.org

Excerpts:

Students with hearing disabilities face unique challenges inside the classroom. Many common learning modes that people take for granted — lectures, discussion groups and even one-on-one conversations — can be a struggle for those who have any level of hearing difficulty. However, that doesn’t mean a college degree is out of reach. Today’s wide range of tools, devices and systems can help students who are deaf or hard of hearing thrive in an educational setting. This guide focuses on those resources, tech tools and expert tips that students of all ages can use achieve academic success.

 

SmartphoneApps-HardOfHearing-July2016

 

 

 
 

“The flipped classroom is about moving the hard parts of learning into the classroom”
— Derek Bruff

 

Class Time Reconsidered: Flipping the Literature Class — from Derek Bruff

Excerpt:

Reading a text or commenting on a blog post are usually activities we ask students to do outside of class. But Helen and Humberto have flipped that idea by bringing those activities into the classroom, where they could be collaborative and communal. Why? Because close reading of a text and responding to another writer’s argument are both important skills in a literature course. Why not have students practice those skills during class, when they can receive feedback on that practice from both their instructor and their peers?

And that’s what the flipped classroom is actually all about. Never mind that bit about lecture videos and group work. The flipped classroom is about moving the hard parts of learning into the classroom, where they can benefit from what Helen Shin calls “shared temporal, spatial, and cognitive presence.” After all, most of us only have maybe 150 minutes a week with our students during class. Shouldn’t we spend that time engaging our students in the kind of practice and feedback that’s central to learning in our disciplines?

 

Also see:

 

Teaching has always been a learning experience for me. Likewise, theory and practice go hand in hand, each supplementing and enriching the other. What I learned by “flipping” the “flipped classroom” model with this particular experience, which I hope to carry over to more classes to follow, is that there is always more room for further conceptual, and perspectival flipping in the interactive and dynamic process of teaching and learning.

 

 

 

Microsoft Surface Hub is now shipping – – from avinteractive.com

Excerpt:

Surface Hub is… “a new category of device that will transform the way companies work by delivering a new kind of productivity experience made for group collaboration. It was designed from the ground up for ink and touch, and harnesses the best collaboration and security features of Windows 10, Skype for Business, Office, OneNote and Universal Windows apps.”

 

 

Microsoft Surface Hub finally starts shipping — from informationweek.com by Nathan Eddy
Microsoft’s Surface Hub promises to revolutionize the way companies collaborate and communicate, but are businesses ready to pay a hefty price to do so? The giant, Windows 10-based device starts at $9,000.

 

 

Also see:

 

MicrosoftSurfaceHubNowShipping-3-31-16

MicrosoftSurfaceHub2-NowShipping-3-31-16

 

You can choose between 55” HD and 84” 4K options.
Start meetings on time with a tap of the screen.
End your session with an option to save & send meeting content to the group for later use.

 

 

From DSC:
Though this hardware is targeted towards the corporate space, I can’t help but think of the applications to higher education as well.  This is yet another tool that could facilitate active learning & stronger collaboration — whether that be in classrooms or in conference rooms.  Note how these solutions are often able to bring in remote learners/employees into the discussions.  In several of these kinds of solutions, the remote learners/employees can see and interact with the same content…such as in Bluescape.

 

Bluescape-3-31-16

 

 

 

 

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.


 

 

FlexspaceDotOrg-March2016

The Flexible Learning Environments eXchange – FLEXspace – is a robust, open access repository populated with examples of learning spaces. It contains high resolution images and related information that describes detailed attributes of these spaces from institutions across the globe. The incentive for participation is to showcase innovative design solutions open to peer review ranking and comments. As more contributions are received, the repository will emerge into a very useful planning resource for education and supporting entities at multiple levels.

 

From DSC:
You can browse images, video, and documents.

You can get some new ideas, sources of inspiration…and get the creative juices going. The site covers a variety of learning spaces — from large lecture halls to library lounges to active learning spaces.

 

 

 

 

From DSC:
Though the jigsaw technique has been around for decades, it came to my mind the other day as we recently built a highly-collaborative, experimental learning space at our college — some would call it an active learning-based classroom.  There are 7 large displays throughout the space, with each display being backed up by Crestron-related hardware and software that allows the faculty member to control what’s appearing on each display.  For example, the professor can take what is on Group #1’s display and send the content from that display throughout the classroom. Or they can display something from a document camera or something from their own laptop, iPad, or smartphone. Students can plug in their devices (BYOD) and connect to the displays via HDMI cables (Phase I) and wirelessly (Phase II).

I like this type of setup because it allows for students to quickly and efficiently contribute their own content and the results of their own research to a discussion.  Groups can present their content throughout the space.

With that in mind, here are some resources re: the jigsaw classroom/technique.


 

From Wikipedia:

The jigsaw technique is a method of organizing classroom activity that makes students dependent on each other to succeed. It breaks classes into groups and breaks assignments into pieces that the group assembles to complete the (jigsaw) puzzle. It was designed by social psychologist Elliot Aronson to help weaken racial cliques in forcibly integrated schools.

The technique splits classes into mixed groups to work on small problems that the group collates into a final outcome. For example, an in-class assignment is divided into topics. Students are then split into groups with one member assigned to each topic. Working individually, each student learns about his or her topic and presents it to their group. Next, students gather into groups divided by topic. Each member presents again to the topic group. In same-topic groups, students reconcile points of view and synthesize information. They create a final report. Finally, the original groups reconvene and listen to presentations from each member. The final presentations provide all group members with an understanding of their own material, as well as the findings that have emerged from topic-specific group discussion.

 

From jigsaw.org

 

jigsaw-method

 

jigsaw-method-steps

 

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.

 

 
© 2025 | Daniel Christian