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The Importance of Universal Design in Online Learning
Dec. 11, 2019 • Webinar 2pm ET
utilize Learning Management System (LMS) analytics to promote self-improvement in instruction, student interaction and institutional frameworks.
In our new webinar, join D2L to explore strategies in Universal Design of Learning (UDL) and to understand how D2L supports UDL through the design of its Brightspace LMS platform – and via third-party partnerships – to provide students multiple ways to gain knowledge, engage and demonstrate learning.
Webinar participants will learn:
- In-depth details about D2L UDL features
- Useful insights about universal design provided by Dr. Sheryl Burgstahler of the University of Washington, including concrete steps to make your courses more universally designed
- Information about third-party integrations
more on universal design in this IMS blog
Data-Driven Design Is Killing Our Instincts
Valuing data over design instinct puts metrics over users
Benek Lisefski August 13, 2019
Overreliance on data to drive design decisions can be just as harmful as ignoring it. Data only tells one kind of story. But your project goals are often more complex than that. Goals can’t always be objectively measured.
Data-driven design is about using information gleaned from both quantitative and qualitative sources to inform how you make decisions for a set of users. Some common tools used to collect data include user surveys, A/B testing, site usage and analytics, consumer research, support logs, and discovery calls.
Designers justified their value through their innate talent for creative ideas and artistic execution. Those whose instincts reliably produced success became rock stars.
In today’s data-driven world, that instinct is less necessary and holds less power. But make no mistake, there’s still a place for it.
Data is good at measuring things that are easy to measure. Some goals are less tangible, but that doesn’t make them less important.
Data has become an authoritarian who has fired the other advisors who may have tempered his ill will. A designer’s instinct would ask, “Do people actually enjoy using this?” or “How do these tactics reflect on our reputation and brand?”
Digital interface design is going through a bland period of sameness.
Data is only as good as the questions you ask
When to use data vs. when to use instinct
Deciding between two or three options? This is where data shines. Nothing is more decisive than an A/B test to compare potential solutions and see which one actually performs better. Make sure you’re measuring long-term value metrics and not just views and clicks.
Sweating product quality and aesthetics? Turn to your instinct. The overall feeling of quality is a collection of hundreds of micro-decisions, maintained consistency, and execution with accuracy. Each one of those decisions isn’t worth validating on its own. Your users aren’t design experts, so their feedback will be too subjective and variable. Trust your design senses when finessing the details.
Unsure about user behavior? Use data rather than asking for opinions. When asked what they’ll do, customers will do what they think you want them to. Instead, trust what they actually do when they think nobody’s looking.
Building brand and reputation? Data can’t easily measure this. But we all know trustworthiness is as important as clicks (and sometimes they’re opposing goals). When building long-term reputation, trust your instinct to guide you to what’s appealing, even if it sometimes contradicts short-term data trends. You have to play the long game here.
more on big data in this IMS blog
what i find most important:
Future IT Workforce: Deploying a broad array of modern recruitment, retention, and employment practices to develop a resilient IT talent pipeline for the institution
Digital Integrations: Ensuring system interoperability, scalability, and extensibility, as well as data integrity, security, standards, and governance, across multiple applications and platforms
Engaged Learning: Incorporating technologies that enable students to create content and engage in active learning in course curricula
Student Retention and Completion: Developing the capabilities and systems to incorporate artificial intelligence into student services to provide personalized, timely support
Administrative Simplification: Applying user-centered design, process improvement, and system reengineering to reduce redundant or unnecessary efforts and improve end-user experiences
Improved Enrollment: Using technology, data, and analytics to develop an inclusive and financially sustainable enrollment strategy to serve more and new learners by personalizing recruitment, enrollment, and learning experiences
Workforce of the Future: Using technology to develop curriculum, content, and learning experiences that prepare students for the evolving workforce
Holistic Student Success: Applying technology and data, including artificial intelligence, to understand and address the numerous contributors to student success, from finances to health and wellness to academic performance and degree planning (my note: this is what Christine Waisner, Mark Gill and Plamen Miltenoff are trying to do with their VR research)
Improved Teaching: Strengthening engagement among faculty, technologists, and researchers to achieve the true and expanding potential of technology to improve teaching
Student-Centric Higher Education: Creating a student-services ecosystem to support the entire student life cycle, from prospecting to enrollment, learning, job placement, alumni engagement, and continuing education
Online Learning’s ‘Greatest Hits’
Robert Ubell (Columnist) Feb 20, 2019
dean of web-based distance learning
Learning Management Systems
Neck and neck for the top spot in the LMS academic vendor race are Blackboard—the early entry and once-dominant player—and coming-up quickly from behind, the relatively new contender, Canvas, each serving about 6.5 million students . The LMS market today is valued at $9.2 billion.
Digital Authoring Systems
Faced with increasingly complex communication technologies—voice, video, multimedia, animation—university faculty, expert in their own disciplines, find themselves technically perplexed, largely unprepared to build digital courses.
instructional designers, long employed by industry, joined online academic teams, working closely with faculty to upload and integrate interactive and engaging content.
nstructional designers, as part of their skillset, turned to digital authoring systems, software introduced to stimulate engagement, encouraging virtual students to interface actively with digital materials, often by tapping at a keyboard or touching the screen as in a video game. Most authoring software also integrates assessment tools, testing learning outcomes.
With authoring software, instructional designers can steer online students through a mixtape of digital content—videos, graphs, weblinks, PDFs, drag-and-drop activities, PowerPoint slides, quizzes, survey tools and so on. Some of the systems also offer video editing, recording and screen downloading options
As with a pinwheel set in motion, insights from many disciplines—artificial intelligence, cognitive science, linguistics, educational psychology and data analytics—have come together to form a relatively new field known as learning science, propelling advances in a new personalized practice—adaptive learning.
Of the top providers, Coursera, the Wall Street-financed company that grew out of the Stanford breakthrough, is the champion with 37 million learners, followed by edX, an MIT-Harvard joint venture, with 18 million. Launched in 2013, XuetangX, the Chinese platform in third place, claims 18 million.
Former Yale President Rick Levin, who served as Coursera’s CEO for a few years, speaking by phone last week, was optimistic about the role MOOCs will play in the digital economy. “The biggest surprise,” Levin argued, “is how strongly MOOCs have been accepted in the corporate world to up-skill employees, especially as the workforce is being transformed by job displacement. It’s the right time for MOOCs to play a major role.”
In virtual education, pedagogy, not technology, drives the metamorphosis from absence to presence, illusion into reality. Skilled online instruction that introduces peer-to-peer learning, virtual teamwork and other pedagogical innovations stimulate active learning. Online learning is not just another edtech product, but an innovative teaching practice. It’s a mistake to think of digital education merely as a device you switch on and off like a garage door.
more on online learning in this IMS blog
Building a Learning Innovation Network
a new interdisciplinary field of learning innovation emerging.
Learning innovation, as conceptualized as an interdisciplinary field, attempts to claim a space at the intersection of design, technology, learning science and analytics — all in the unique context of higher education.
professional associations, such as POD, ELI, UPCEA, (https://upcea.edu/) OLC (https://onlinelearningconsortium.org/), ASU GSV (https://www.asugsvsummit.com/) and SXSW Edu (https://www.sxswedu.com/) — among many other conferences and events put on by professional associations.
A professional community of practice differs from that of an interdisciplinary academic network. Professional communities of practice are connected through shared professional goals. Where best practices and shared experiences form the basis of membership in professional associations, academic networks are situated within marketplaces for ideas. Academic networks run on the generation of new ideas and scholarly exchange. These two network models are different.
“Learning Experience Design™ is a synthesis of Instructional Design, educational pedagogy, neuroscience, social sciences, design thinking, and User Experience Design.”
The Process: ADDIE Vs. Design Thinking
more on LX design in this iMS blog
Technology is a branch of moral philosophy, not of science
The process of making technology is design
Design is a branch of moral philosophy, not of a science
System design reflects the designer’s values and the cultural content
Byzantine history professor Bulgarian – all that is 200 years old is politics, not history
Access, privacy, equity, values for the prof organization ARLD.
This is how bad design makes it out into the world, not due to mailcioius intent, but whith nbo intent at all
Our expertise, our service ethic, and our values remain our greatest strengths. But for us to have the impat we seek into the lives of our users, we must encode our services and our values in to the software
Design interprets the world to crate useful objects. Ethical design closes the loop, imaging how those object will affect the world.
A good science fiction story should be able to predict not the automobile, ut the traffics jam. Frederic Pohl
Victor Papanek The designer’s social and moral judgement must be brought into play long before she begins to design.
We need to fear the consequences of our work more than we love the cleverness of our ideas Mike Monteiro
Qual and quan data – lirarainas love data, usage, ILL, course reserves, data – QQLM.
IDEO – the goal of design research isn’t to collect data, I tis to synthesize information and provide insight and guidance that leads to action.
Google Analytics: the trade off. besides privacy concners. sometimes data and analytics is the only thing we can see.
Frank CHimero – remove a person;s humanity and she is just a curiosity, a pinpoint on a map, a line in a list, an entry in a dbase. a person turns into a granular but of information.
Gale analytics on demand – similar the keynote speaker at Macalester LibTech 2019. https://www.facebook.com/InforMediaServices/posts/1995793570531130?comment_id=1995795043864316&comment_tracking=%7B%22tn%22%3A%22R%22%7D
by designing for yourself or your team, you are potentially building discrimination right into your product Erica Hall.
what is relevance. the relevance of the ranking algorithm. for whom (what patron). crummy searches.
reckless associsations – made by humans or computers – can do very real harm especially when they appear in supposedly neutral environments.
Donna Lanclos and Andrew Asher Ethonography should be core to the business of the library.
technology as information ecology. co-evolve. prepare to start asking questions to see the effect of our design choices.
ethnography of library: touch point tours – a student to give a tour to the librarians or draw a map of the library , give a sense what spaces they use, what is important. ethnographish
Q from the audience: if instructors warn against Google and Wikipedia and steer students to library and dbases, how do you now warn about the perils of the dbases bias? A: put fires down, and systematically, try to build into existing initiatives: bi-annual magazine, as many places as can
Ithaka S+R US Faculty Survey 2018
Figure 29: Are your research publications and/or products freely available online through your institution’s repository, a disciplinary repository (such as arXiv, SSRN, etc.), or available elsewhere online (such as your personal webpage)? For each type(s) of scholarly work(s) listed below, please select all hosting sources that apply. Of the respondents that make each of the following types of publications and/or products freely available online, the percent who indicated their research is hosted in each of the following.
Which of the following statements best describes your role in deciding what textbooks and other course materials will be used in the courses you teach? Percent of respondents who selected each item.
Learning Analytics Tools
- Senior lecturer in the Institute of Educational Technology (IET) at The Open University in the UK
- Senior fellow of the Higher Education Academy
TODAY, Thursday at 1:00 PM CT
An interactive discussion on the Innovating Pedagogy 2019 report from The Open University
About the Guest
Rebecca is a senior lecturer in the Institute of Educational Technology (IET) at The Open University in the UK and a senior fellow of the Higher Education Academy. Her primary research interests are educational futures, and how people learn together online and I supervise doctoral students in both these areas.
Rebecca worked for several years as a researcher and educator on the Schome project, which focuses on educational futures, and was also the research lead on the SocialLearn online learning platform, and learning analytics lead on the Open Science Lab (Outstanding ICT Initiative of the Year: THE Awards 2014). She is currently a pedagogic adviser to the FutureLearn MOOC platform, and evaluation lead on The Open University’s FutureLearn MOOCs. She is an active member of the Society for Learning Analytics Research, and have co-chaired many learning analytics events, included several associated with the Learning Analytics Community Exchange (LACE), European Project funded under Framework 7.
Rebecca’s most recent book, Augmented Education, was published by Palgrave in spring 2014.
innovative assessment is needed for innovative pedagogy.
Analytics. what is I want to know about my learning (from the learner’s perspective)
How is “stealth assessment” unique compared to formative assessment?
students teaching robots
learning analytics, Rebecca is an authority.
how to assess resources are trustworthy, fake news and social media, navigating post-truth society
how to advance the cause of empathy through technological means
gamification. XR safer environment. digital storytelling and empathy.
poll : learning with robots –
digital literacy and importance for curriculum primary, secondary and post secondary level.
digital literacy is changing every year;
Mor, Y., Ferguson, R., & Wasson, B. (2015). Editorial: Learning design, teacher inquiry into student learning and learning analytics: A call for action. British Journal of Educational Technology
(2), 221–229. https://doi.org/10.1111/bjet.12273
Hansen, C., Emin, V., Wasson, B., Mor, Y., Rodriguez-Triana, M., Dascalu, M., … Pernin, J. (2013). Towards an Integrated Model of Teacher Inquiry into Student Learning, Learning Design and Learning Analytics. Scaling up Learning for Sustained Impact – Proceedings of EC-TEL 2013
, 605–606. https://doi.org/10.1007/978-3-642-40814-4_73
how to decolonize educational technology: MOOCs coming from the big colonial powers, not from small countries. Video games: many have very colonial perspective
strategies for innovative pedagogies: only certainly groups or aspects taking into account; rarely focus on support by management, scheduling, time tabling, tech support.
more on future trends in this IMS blog
McMullan, T. (2018, April 26). How Technology Got Under Our Skin – Featured Stories. Retrieved April 2, 2019, from Medium website: https://medium.com/s/story/how-technology-got-under-our-skin-cee8a71b241b
Like the circle-bound symmetry of Leonardo Da Vinci’s Vitruvian Man, the meat and bones of the human race are the same in 2018 as they were in 1490. And yet, we are different.
Michael Patrick Lynch, writer and professor of philosophy at the University of Connecticut.
“The digital revolution is more like the revolution brought on by the written word. Just as the written word allowed us to time-travel — to record our thoughts for others, including ourselves, to read in the future — so the internet has allowed for a kind of tele-transportation , breaking down barriers of space and physical limitation and connecting us across the globe in ways we now take for granted, as we do the written word.”
In the book Self-Tracking, authors Gina Neff, a sociology professor at Oxford University, and Dawn Nafus, a research scientist at Intel, describe this phenomenon as a shuffling between physical signs and observed recordings: “The data becomes a ‘prosthetic of feeling,’Advocates of this “prosthetic of feeling” argue that self-tracking can train people to recognize their own body signals, tuning the senses to allow for a greater grasp of biological rhythms.but what if the body-as-data is exploited by the state, or by an insurance company that can predict when you’ll get diabetes, or a data analytics firm that can use it to help sway elections? The Chinese government is going so far as to plan a social credit score for its citizens by 2020, giving each of the country’s 1.3 billion residents a reputation number based on economic and social status. What is particularly subtle about all this is that, like a scientific épistémè, our way of thinking is perhaps unconsciously guided by the configurations of knowledge these new technologies allow. We don’t question it.
Hannah Knox. Computational machines are “shaping what we expect it means to be a human”, Knox wrote for the Corsham Institute’s Observatory for a Connected Society.
Facebook goads us to remember past moments on a daily basis, the stacked boxes of tape in Beckett’s play replaced with stacks of servers in remote data centers in northern Sweden.“There is reasonable evidence that [the internet] has reduced our internal memory ability,” says Phil Reed, a professor of psychology at Swansea University.
Moderate tech use correlated with positive mental health, according to a paper published in Psychological Science by Andrew Przybylski of Oxford and Netta Weinstein at Cardiff University, who surveyed 120,000 British 15-year-olds.Again, the crucial question is one of control. If our way of thinking is changed by our intimacy with these technologies, then is this process being directed by individuals, or the ledgers of private companies, or governments keen on surveilling their citizens? If we conceive of these systems as extensions of our own brains, what happens if they collapse?
Brain-machine interfaces (BMI) are coming in leaps and bounds, with companies like Neuralink and CTRL-Labs in the United States exploring both surgical and noninvasive processes that allow computers to be controlled directly by signals from the brain. It’s a field that involves fundamentally changing the relationship between our minds, bodies, and machines.Kevin Warwick, emeritus professor at Coventry University and a pioneer in implant technology
Libraries Look to Big Data to Measure Their Worth—And Better Help Students
counting how many times students use electronic library resources or visit in person, and comparing that to how well the students do in their classes and how likely they are to stay in school and earn a degree. And many library leaders are finding a strong correlation, meaning that students who consume more library materials tend to be more successful academically.
carefully tracking how library use compares to other metrics, and it has made changes as a result—like moving the tutoring center and the writing lab into the library. Those moves were designed not only to lure more people into the stacks, but to make seeking help more socially-acceptable for students who might have been hesitant.
a partnership between the library, which knows what electronic materials students use, and the technology office, which manages other campus data such as usage of the course-management system. The university is doing a study to see whether library usage there also equates to student success.
The issue of privacy also emerged during a session on libraries and data at the annual Educause conference earlier this month.