a learning management system (LMS) is never the solution to every problem in education. Edtech is just one part of the whole learning ecosystem and student experience.
Therefore, the next generation digital learning environment (NGDLE), as envisioned by EDUCAUSE in 2015 … Looking at the NGDLE requirements from an LMS perspective, I view the NGDLE as being about five areas: interoperability; personalization; analytics, advising, and learning assessment; collaboration; accessibility and universal design.
Interoperability
Content can easily be exchanged between systems.
Users are able to leverage the tools they love, including discipline-specific apps.
Learning data is available to trusted systems and people who need it.
The learning environment is “future proof” so that it can adapt and extend as the ecosystem evolves.
Personalization
The learning environment reflects individual preferences.
Departments, divisions, and institutions can be autonomous.
Instructors teach the way they want and are not constrained by the software design.
There are clear, individual learning paths.
Students have choice in activity, expression, and engagement.
Analytics, Advising, and Learning Assessment
Learning analytics helps to identify at-risk students, course progress, and adaptive learning pathways.
The learning environment enables integrated planning and assessment of student performance.
More data is made available, with greater context around the data.
The learning environment supports platform and data standards.
Collaboration
Individual spaces persist after courses and after graduation.
Learners are encouraged as creators and consumers.
Courses include public and private spaces.
Accessibility and Universal Design
Accessibility is part of the design of the learning experience.
The learning environment enables adaptive learning and supports different types of materials.
Learning design includes measurement rubrics and quality control.
The core analogy used in the NGDLE paper is that each component of the learning environment is a Lego brick:
The days of the LMS as a “walled garden” app that does everything is over.
Today many kinds of amazing learning and collaboration tools (Lego bricks) should be accessible to educators.
We have standards that let these tools (including an LMS) talk to each other. That is, all bricks share some properties that let them fit together.
Students and teachers sign in once to this “ecosystem of bricks.”
The bricks share results and data.
These bricks fit together; they can be interchanged and swapped at will, with confidence that the learning experience will continue uninterrupted.
Any “next-gen” attempt to completely rework the pedagogical model and introduce a “mash-up of whatever” to fulfil this model would fall victim to the same criticisms levied at the LMS today: there is too little time and training to expect faculty to figure out the nuances of implementation on their own.
The Lego metaphor works only if we’re talking about “old school” Lego design — bricks of two, three, and four-post pieces that neatly fit together. Modern edtech is a lot more like the modern Lego. There are wheels and rocket launchers and belts and all kinds of amazing pieces that work well with each other, but only when they are configured properly. A user cannot simply stick together different pieces and assume they will work harmoniously in creating an environment through which each student can be successful.
As the NGDLE paper states: “Despite the high percentages of LMS adoption, relatively few instructors use its more advanced features — just 41% of faculty surveyed report using the LMS ‘to promote interaction outside the classroom.'”
But this is what the next generation LMS is good at: being a central nervous system — or learning hub — through which a variety of learning activities and tools are used. This is also where the LMS needs to go: bringing together and making sense of all the amazing innovations happening around it. This is much harder to do, perhaps even impossible, if all the pieces involved are just bricks without anything to orchestrate them or to weave them together into a meaningful, personal experience for achieving well-defined learning outcomes.
Making a commitment to build easy, flexible, and smart technology
Working with colleges and universities to remove barriers to adopting new tools in the ecosystem
Standardizing the vetting of accessibility compliance (the Strategic Nonvisual Access Partner Program from the National Federation of the Blind is a great start)
Advancing standards for data exchange while protecting individual privacy
Building integrated components that work with the institutions using them — learning quickly about what is and is not working well and applying those lessons to the next generation of interoperability standards
Letting people use the tools they love [SIC] and providing more ways for nontechnical individuals (including students) to easily integrate new features into learning activities
My note: something just refused to be accepted at SCSU
Technologists are often very focused on the technology, but the reality is that the more deeply and closely we understand the pedagogy and the people in the institutions — students, faculty, instructional support staff, administrators — the better suited we are to actually making the tech work for them.
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Under the Hood of a Next Generation Digital Learning Environment in Progress
The challenge is that although 85 percent of faculty use a campus learning management system (LMS),1 a recent Blackboard report found that, out of 70,000 courses across 927 North American institutions, 53 percent of LMS usage was classified as supplemental(content-heavy, low interaction) and 24 percent as complementary (one-way communication via content/announcements/gradebook).2 Only 11 percent were characterized as social, 10 percent as evaluative (heavy use of assessment), and 2 percent as holistic (balanced use of all previous). Our FYE course required innovating beyond the supplemental course-level LMS to create a more holistic cohort-wide NGDLE in order to fully support the teaching, learning, and student success missions of the program.The key design goals for our NGDLE were to:
Create a common platform that could deliver a standard curriculum and achieve parity in all course sections using existing systems and tools and readily available content
Capture, store, and analyze any generated learner data to support learning assessment, continuous program improvement, and research
Develop reports and actionable analytics for administrators, advisors, instructors, and students
The New York Times VR app (available for iOS and Android) we can now experience parts of Antarctica in virtual reality. As a part of their Antarctica series The New York Times has published four short films (9-15 minutes) that can be viewed in virtual reality.
By 2020 more than 50 billion things, ranging from cranes to coffee machines, will be connected to the internet. That means a lot of data will be created — too much data, in fact, to be manageable or to be kept forever affordably.
One by-product of more devices creating more data is that they are speaking lots of different programming languages. Machines are still using languages from the 1970s and 80s as well as the new languages of today. In short, applications need to have data translated for them — by an IoT babelfish, if you will — before they can make sense of the information.
Then there are analytics and data storage.
security becomes even more important as there is little human interaction in the flow of data from device to datacentre — so called machine-to-machine communication.
The design of blended learning curriculum will be more diversified and personalized with the integration of creative in-class active learning strategies and innovative educational technologies, such as adaptive learning, virtual reality, mobile technologies
Quality assurance is the biggest challenge with implementing blended learning in the higher education environment today. I would propose institutions to adopt evidence-based standards for course evaluations. For instance, the OLC Quality Scorecard for Blended Learning Programs
Indiana University’s Brad Wheeler explains how his institution is ditching the college textbook and replacing it with digital alternatives that are accessible to students from day one.
it’s taken a long time for textbook publishers to own up to the “fundamental flaw” of their industry: “They are obsessed with counting their gross margins on the things they actually do sell.” And, he added, they ignore the enormous amounts they lose through the other 75 percent of the market made up of used and rented books and other kinds of substitutes. Because of those blinders, the publishers have “long pursued a model that has been failing, year over year.”
Starting in the mid-1990s, the price of educational books rose faster than just about any other measure, including healthcare. Something had to give. Wheeler has seen a “constellation of things” forming to bring about change. First, the e-reader software has matured, he said. “It works on your phone, your tablet, your laptop.”
Second, students are “increasingly digital.” They’re “comfortable with interacting with digital information [and] electronically marking it up.” After all, he noted, “some of them went through high school with digital books and materials.”
Third, familiarity is growing among faculty too. “They see e-texts not just as a substitute for paper, but as a teaching and pedagogical tool. They can go in and annotate that paragraph in the textbook and point to classroom materials or go online and correct something,
Fourth, the printed textbook-first philosophy has stopped paying off for publishers.
The three biggies — Pearson, McGraw-Hill and Cengage — weren’t first in line to sign on, even as additional universities piled onto Indiana U’s project. As a result, their reticence to promote textbook alternatives hit their bottom lines. Eventually, Pearson’s shares took a hit, hovering currently around $8; McGraw-Hill’s education division was peeled off and sold to Apollo Global Management in 2013; and just months later Cengage filed for bankruptcy, emerging a year later with $4 billion less debt.
Unizin. This is the organization created by Indiana U and other large institutional partners to develop services that could replace major paid third-party applications, such as learning management, digital textbook and data warehouse platforms. The goal: to enable higher ed to own its data.
App Smashing is the process of using multiple apps to create projects or complete tasks. App Smashing can provide your students with creative and inspired ways to showcase their learning and allow you to assess their understanding and skills.
Content created in one app transferred to and enhanced by a second app and sometimes third. Preferably the final product is then published to the web – remember, digital presence is the new résumé (CV).
Reasons to App Smash:
It demands creative thinking
It demands more from the technology (value for money)
It turns the issue of not having a ‘wonder app’ into a positive
It removes any restrictions to take a topic as far as it can be taken.
It often results in more engaging learning products
It’s a fun challenge for ‘digital natives’
Key rules for successful App Smashing:
Use the Camera Roll as your main conduit between apps
Leave the app choice to the students
Have a list of apps capable of smashing content together (See below)
These gaps and others “suggest a disconnect, the report stated, “between the impacts that many administrators perceive and the reality of how digital learning is changing the market.” Open-ended responses suggested that expectations for the impact of digital learning were “set too high” or weren’t being “measured or communicated well.” Another common refrain: There’s inadequate institutional support.
While most administrators told researchers that “faculty are crucial to the success of digital learning initiatives — serving as both a bolster and a barrier to implementation success,” the resources for supporting faculty to implement digital learning are insufficient. Just a quarter of respondents said faculty professional development was implemented “effectively and at scale.” Thirty-five percent said implementation was in progress. And a third (33 percent) reported that faculty professional development was “incomplete, inconsistent, informal and/or optional.”
The report offered recommendations for improving and expanding digital learning adoption. Among the guidance:
Get realistic. While the data suggested that digital learning could improve scheduling flexibility and access, among other benefits, schools need to identify which goals are most important and “clearly articulate how and to what extent its digital learning programs are expected to help.”
Measure impact and broadcast it. Forget about small pilots; go for a scale that will demonstrate impact and then share the findings internally and with other institutions.
Use buying power to influence the market. Connect faculty with vendors for “education, product discovery and feedback.” Insist on accessibility within products, strong integration features and user friendliness.
Prepare faculty for success. Make sure there are sufficient resources and incentives to help faculty “buy into the strategy” and follow through on implementation.
MEL Science aims to release more than 150 lessons covering all the main topics included in K–12 schools’ chemistry curriculum. Later this year, MEL Science also aims to add support for other VR platforms, including Google Cardboard and Samsung Gear VR.
